KrakenData.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import urllib.parse\n",
    "import hashlib\n",
    "import hmac\n",
    "import base64\n",
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import krakenex\n",
    "from pykrakenapi import KrakenAPI\n",
    "\n",
    "from API.Endpoints import KrakenEndpoints\n",
    "from API import KrakenRequests\n",
    "from Helper import Utilities as util"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                           time    open    high     low   close    vwap  \\\n",
      "dtime                                                                     \n",
      "2022-04-14 01:41:00  1649900460  344.51  344.51  344.51  344.51  344.51   \n",
      "2022-04-14 01:40:00  1649900400  344.24  344.29  344.24  344.29  344.27   \n",
      "2022-04-14 01:39:00  1649900340  344.24  344.24  344.24  344.24    0.00   \n",
      "2022-04-14 01:38:00  1649900280  344.24  344.24  344.24  344.24    0.00   \n",
      "2022-04-14 01:37:00  1649900220  344.24  344.24  344.24  344.24    0.00   \n",
      "...                         ...     ...     ...     ...     ...     ...   \n",
      "2022-04-13 13:46:00  1649857560  328.97  328.97  328.97  328.97    0.00   \n",
      "2022-04-13 13:45:00  1649857500  328.93  328.97  328.93  328.97  328.93   \n",
      "2022-04-13 13:44:00  1649857440  328.67  329.03  328.67  329.03  328.96   \n",
      "2022-04-13 13:43:00  1649857380  328.75  328.75  328.75  328.75    0.00   \n",
      "2022-04-13 13:42:00  1649857320  328.50  328.75  328.50  328.75  328.67   \n",
      "\n",
      "                       volume  count  \n",
      "dtime                                 \n",
      "2022-04-14 01:41:00  0.300189      2  \n",
      "2022-04-14 01:40:00  0.782000      3  \n",
      "2022-04-14 01:39:00  0.000000      0  \n",
      "2022-04-14 01:38:00  0.000000      0  \n",
      "2022-04-14 01:37:00  0.000000      0  \n",
      "...                       ...    ...  \n",
      "2022-04-13 13:46:00  0.000000      0  \n",
      "2022-04-13 13:45:00  0.403853      2  \n",
      "2022-04-13 13:44:00  1.823321      2  \n",
      "2022-04-13 13:43:00  0.000000      0  \n",
      "2022-04-13 13:42:00  0.972166      2  \n",
      "\n",
      "[720 rows x 8 columns]\n"
     ]
    }
   ],
   "source": [
    "api = krakenex.API()\n",
    "k = KrakenAPI(api, tier=\"None\", crl_sleep = 1)\n",
    "ohlc, last = k.get_ohlc_data(\"BCHUSD\")\n",
    "print(ohlc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>aclass</th>\n",
       "      <th>altname</th>\n",
       "      <th>decimals</th>\n",
       "      <th>display_decimals</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1INCH</th>\n",
       "      <td>currency</td>\n",
       "      <td>1INCH</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAVE</th>\n",
       "      <td>currency</td>\n",
       "      <td>AAVE</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACA</th>\n",
       "      <td>currency</td>\n",
       "      <td>ACA</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADA</th>\n",
       "      <td>currency</td>\n",
       "      <td>ADA</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADA.S</th>\n",
       "      <td>currency</td>\n",
       "      <td>ADA.S</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZEUR</th>\n",
       "      <td>currency</td>\n",
       "      <td>EUR</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZGBP</th>\n",
       "      <td>currency</td>\n",
       "      <td>GBP</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZJPY</th>\n",
       "      <td>currency</td>\n",
       "      <td>JPY</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZRX</th>\n",
       "      <td>currency</td>\n",
       "      <td>ZRX</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZUSD</th>\n",
       "      <td>currency</td>\n",
       "      <td>USD</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>176 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         aclass altname decimals display_decimals\n",
       "1INCH  currency   1INCH       10                5\n",
       "AAVE   currency    AAVE       10                5\n",
       "ACA    currency     ACA       10                5\n",
       "ADA    currency     ADA        8                6\n",
       "ADA.S  currency   ADA.S        8                6\n",
       "...         ...     ...      ...              ...\n",
       "ZEUR   currency     EUR        4                2\n",
       "ZGBP   currency     GBP        4                2\n",
       "ZJPY   currency     JPY        2                0\n",
       "ZRX    currency     ZRX       10                5\n",
       "ZUSD   currency     USD        4                2\n",
       "\n",
       "[176 rows x 4 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = k.get_asset_info()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1INCHEUR</th>\n",
       "      <th>1INCHUSD</th>\n",
       "      <th>AAVEAUD</th>\n",
       "      <th>AAVEETH</th>\n",
       "      <th>AAVEEUR</th>\n",
       "      <th>AAVEGBP</th>\n",
       "      <th>AAVEUSD</th>\n",
       "      <th>AAVEXBT</th>\n",
       "      <th>ACAEUR</th>\n",
       "      <th>ACAUSD</th>\n",
       "      <th>...</th>\n",
       "      <th>YGGEUR</th>\n",
       "      <th>YGGUSD</th>\n",
       "      <th>ZEURZUSD</th>\n",
       "      <th>ZGBPZUSD</th>\n",
       "      <th>ZRXEUR</th>\n",
       "      <th>ZRXGBP</th>\n",
       "      <th>ZRXUSD</th>\n",
       "      <th>ZRXXBT</th>\n",
       "      <th>ZUSDZCAD</th>\n",
       "      <th>ZUSDZJPY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>altname</th>\n",
       "      <td>1INCHEUR</td>\n",
       "      <td>1INCHUSD</td>\n",
       "      <td>AAVEAUD</td>\n",
       "      <td>AAVEETH</td>\n",
       "      <td>AAVEEUR</td>\n",
       "      <td>AAVEGBP</td>\n",
       "      <td>AAVEUSD</td>\n",
       "      <td>AAVEXBT</td>\n",
       "      <td>ACAEUR</td>\n",
       "      <td>ACAUSD</td>\n",
       "      <td>...</td>\n",
       "      <td>YGGEUR</td>\n",
       "      <td>YGGUSD</td>\n",
       "      <td>EURUSD</td>\n",
       "      <td>GBPUSD</td>\n",
       "      <td>ZRXEUR</td>\n",
       "      <td>ZRXGBP</td>\n",
       "      <td>ZRXUSD</td>\n",
       "      <td>ZRXXBT</td>\n",
       "      <td>USDCAD</td>\n",
       "      <td>USDJPY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wsname</th>\n",
       "      <td>1INCH/EUR</td>\n",
       "      <td>1INCH/USD</td>\n",
       "      <td>AAVE/AUD</td>\n",
       "      <td>AAVE/ETH</td>\n",
       "      <td>AAVE/EUR</td>\n",
       "      <td>AAVE/GBP</td>\n",
       "      <td>AAVE/USD</td>\n",
       "      <td>AAVE/XBT</td>\n",
       "      <td>ACA/EUR</td>\n",
       "      <td>ACA/USD</td>\n",
       "      <td>...</td>\n",
       "      <td>YGG/EUR</td>\n",
       "      <td>YGG/USD</td>\n",
       "      <td>EUR/USD</td>\n",
       "      <td>GBP/USD</td>\n",
       "      <td>ZRX/EUR</td>\n",
       "      <td>ZRX/GBP</td>\n",
       "      <td>ZRX/USD</td>\n",
       "      <td>ZRX/XBT</td>\n",
       "      <td>USD/CAD</td>\n",
       "      <td>USD/JPY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aclass_base</th>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>...</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>base</th>\n",
       "      <td>1INCH</td>\n",
       "      <td>1INCH</td>\n",
       "      <td>AAVE</td>\n",
       "      <td>AAVE</td>\n",
       "      <td>AAVE</td>\n",
       "      <td>AAVE</td>\n",
       "      <td>AAVE</td>\n",
       "      <td>AAVE</td>\n",
       "      <td>ACA</td>\n",
       "      <td>ACA</td>\n",
       "      <td>...</td>\n",
       "      <td>YGG</td>\n",
       "      <td>YGG</td>\n",
       "      <td>ZEUR</td>\n",
       "      <td>ZGBP</td>\n",
       "      <td>ZRX</td>\n",
       "      <td>ZRX</td>\n",
       "      <td>ZRX</td>\n",
       "      <td>ZRX</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aclass_quote</th>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>...</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "      <td>currency</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote</th>\n",
       "      <td>ZEUR</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZAUD</td>\n",
       "      <td>XETH</td>\n",
       "      <td>ZEUR</td>\n",
       "      <td>ZGBP</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>XXBT</td>\n",
       "      <td>ZEUR</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>...</td>\n",
       "      <td>ZEUR</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZEUR</td>\n",
       "      <td>ZGBP</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>XXBT</td>\n",
       "      <td>ZCAD</td>\n",
       "      <td>ZJPY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lot</th>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>...</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "      <td>unit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pair_decimals</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lot_decimals</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lot_multiplier</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>leverage_buy</th>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>leverage_sell</th>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fees</th>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fees_maker</th>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fee_volume_currency</th>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>ZUSD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>margin_call</th>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>margin_stop</th>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>...</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ordermin</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18 rows × 505 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                              1INCHEUR  \\\n",
       "altname                                                       1INCHEUR   \n",
       "wsname                                                       1INCH/EUR   \n",
       "aclass_base                                                   currency   \n",
       "base                                                             1INCH   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZEUR   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        3   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             1   \n",
       "\n",
       "                                                              1INCHUSD  \\\n",
       "altname                                                       1INCHUSD   \n",
       "wsname                                                       1INCH/USD   \n",
       "aclass_base                                                   currency   \n",
       "base                                                             1INCH   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZUSD   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        3   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             1   \n",
       "\n",
       "                                                               AAVEAUD  \\\n",
       "altname                                                        AAVEAUD   \n",
       "wsname                                                        AAVE/AUD   \n",
       "aclass_base                                                   currency   \n",
       "base                                                              AAVE   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZAUD   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        2   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                          0.02   \n",
       "\n",
       "                                                               AAVEETH  \\\n",
       "altname                                                        AAVEETH   \n",
       "wsname                                                        AAVE/ETH   \n",
       "aclass_base                                                   currency   \n",
       "base                                                              AAVE   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             XETH   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        4   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                          0.02   \n",
       "\n",
       "                                                               AAVEEUR  \\\n",
       "altname                                                        AAVEEUR   \n",
       "wsname                                                        AAVE/EUR   \n",
       "aclass_base                                                   currency   \n",
       "base                                                              AAVE   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZEUR   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        2   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                    [2, 3]   \n",
       "leverage_sell                                                   [2, 3]   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                          0.02   \n",
       "\n",
       "                                                               AAVEGBP  \\\n",
       "altname                                                        AAVEGBP   \n",
       "wsname                                                        AAVE/GBP   \n",
       "aclass_base                                                   currency   \n",
       "base                                                              AAVE   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZGBP   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        2   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                          0.02   \n",
       "\n",
       "                                                               AAVEUSD  \\\n",
       "altname                                                        AAVEUSD   \n",
       "wsname                                                        AAVE/USD   \n",
       "aclass_base                                                   currency   \n",
       "base                                                              AAVE   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZUSD   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        2   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                    [2, 3]   \n",
       "leverage_sell                                                   [2, 3]   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                          0.02   \n",
       "\n",
       "                                                               AAVEXBT  \\\n",
       "altname                                                        AAVEXBT   \n",
       "wsname                                                        AAVE/XBT   \n",
       "aclass_base                                                   currency   \n",
       "base                                                              AAVE   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             XXBT   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        6   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                          0.02   \n",
       "\n",
       "                                                                ACAEUR  \\\n",
       "altname                                                         ACAEUR   \n",
       "wsname                                                         ACA/EUR   \n",
       "aclass_base                                                   currency   \n",
       "base                                                               ACA   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZEUR   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        3   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                           0.5   \n",
       "\n",
       "                                                                ACAUSD  ...  \\\n",
       "altname                                                         ACAUSD  ...   \n",
       "wsname                                                         ACA/USD  ...   \n",
       "aclass_base                                                   currency  ...   \n",
       "base                                                               ACA  ...   \n",
       "aclass_quote                                                  currency  ...   \n",
       "quote                                                             ZUSD  ...   \n",
       "lot                                                               unit  ...   \n",
       "pair_decimals                                                        3  ...   \n",
       "lot_decimals                                                         8  ...   \n",
       "lot_multiplier                                                       1  ...   \n",
       "leverage_buy                                                        []  ...   \n",
       "leverage_sell                                                       []  ...   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...  ...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...  ...   \n",
       "fee_volume_currency                                               ZUSD  ...   \n",
       "margin_call                                                         80  ...   \n",
       "margin_stop                                                         40  ...   \n",
       "ordermin                                                           0.5  ...   \n",
       "\n",
       "                                                                YGGEUR  \\\n",
       "altname                                                         YGGEUR   \n",
       "wsname                                                         YGG/EUR   \n",
       "aclass_base                                                   currency   \n",
       "base                                                               YGG   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZEUR   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        3   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             2   \n",
       "\n",
       "                                                                YGGUSD  \\\n",
       "altname                                                         YGGUSD   \n",
       "wsname                                                         YGG/USD   \n",
       "aclass_base                                                   currency   \n",
       "base                                                               YGG   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZUSD   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        3   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             2   \n",
       "\n",
       "                                                              ZEURZUSD  \\\n",
       "altname                                                         EURUSD   \n",
       "wsname                                                         EUR/USD   \n",
       "aclass_base                                                   currency   \n",
       "base                                                              ZEUR   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZUSD   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        5   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "fees_maker           [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             5   \n",
       "\n",
       "                                                              ZGBPZUSD  \\\n",
       "altname                                                         GBPUSD   \n",
       "wsname                                                         GBP/USD   \n",
       "aclass_base                                                   currency   \n",
       "base                                                              ZGBP   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZUSD   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        5   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "fees_maker           [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             5   \n",
       "\n",
       "                                                                ZRXEUR  \\\n",
       "altname                                                         ZRXEUR   \n",
       "wsname                                                         ZRX/EUR   \n",
       "aclass_base                                                   currency   \n",
       "base                                                               ZRX   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZEUR   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        3   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             5   \n",
       "\n",
       "                                                                ZRXGBP  \\\n",
       "altname                                                         ZRXGBP   \n",
       "wsname                                                         ZRX/GBP   \n",
       "aclass_base                                                   currency   \n",
       "base                                                               ZRX   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZGBP   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        3   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             5   \n",
       "\n",
       "                                                                ZRXUSD  \\\n",
       "altname                                                         ZRXUSD   \n",
       "wsname                                                         ZRX/USD   \n",
       "aclass_base                                                   currency   \n",
       "base                                                               ZRX   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZUSD   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        3   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             5   \n",
       "\n",
       "                                                                ZRXXBT  \\\n",
       "altname                                                         ZRXXBT   \n",
       "wsname                                                         ZRX/XBT   \n",
       "aclass_base                                                   currency   \n",
       "base                                                               ZRX   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             XXBT   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        8   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "fees_maker           [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             5   \n",
       "\n",
       "                                                              ZUSDZCAD  \\\n",
       "altname                                                         USDCAD   \n",
       "wsname                                                         USD/CAD   \n",
       "aclass_base                                                   currency   \n",
       "base                                                              ZUSD   \n",
       "aclass_quote                                                  currency   \n",
       "quote                                                             ZCAD   \n",
       "lot                                                               unit   \n",
       "pair_decimals                                                        5   \n",
       "lot_decimals                                                         8   \n",
       "lot_multiplier                                                       1   \n",
       "leverage_buy                                                        []   \n",
       "leverage_sell                                                       []   \n",
       "fees                 [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "fees_maker           [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "fee_volume_currency                                               ZUSD   \n",
       "margin_call                                                         80   \n",
       "margin_stop                                                         40   \n",
       "ordermin                                                             5   \n",
       "\n",
       "                                                              ZUSDZJPY  \n",
       "altname                                                         USDJPY  \n",
       "wsname                                                         USD/JPY  \n",
       "aclass_base                                                   currency  \n",
       "base                                                              ZUSD  \n",
       "aclass_quote                                                  currency  \n",
       "quote                                                             ZJPY  \n",
       "lot                                                               unit  \n",
       "pair_decimals                                                        3  \n",
       "lot_decimals                                                         8  \n",
       "lot_multiplier                                                       1  \n",
       "leverage_buy                                                        []  \n",
       "leverage_sell                                                       []  \n",
       "fees                 [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...  \n",
       "fees_maker           [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...  \n",
       "fee_volume_currency                                               ZUSD  \n",
       "margin_call                                                         80  \n",
       "margin_stop                                                         40  \n",
       "ordermin                                                             5  \n",
       "\n",
       "[18 rows x 505 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pairs = k.get_tradable_asset_pairs()\n",
    "pairs.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "usd_pairs = pairs.loc[pairs[\"quote\"] == \"ZUSD\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>altname</th>\n",
       "      <th>wsname</th>\n",
       "      <th>aclass_base</th>\n",
       "      <th>base</th>\n",
       "      <th>aclass_quote</th>\n",
       "      <th>quote</th>\n",
       "      <th>lot</th>\n",
       "      <th>pair_decimals</th>\n",
       "      <th>lot_decimals</th>\n",
       "      <th>lot_multiplier</th>\n",
       "      <th>leverage_buy</th>\n",
       "      <th>leverage_sell</th>\n",
       "      <th>fees</th>\n",
       "      <th>fees_maker</th>\n",
       "      <th>fee_volume_currency</th>\n",
       "      <th>margin_call</th>\n",
       "      <th>margin_stop</th>\n",
       "      <th>ordermin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1INCHUSD</th>\n",
       "      <td>1INCHUSD</td>\n",
       "      <td>1INCH/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>1INCH</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAVEUSD</th>\n",
       "      <td>AAVEUSD</td>\n",
       "      <td>AAVE/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>AAVE</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACAUSD</th>\n",
       "      <td>ACAUSD</td>\n",
       "      <td>ACA/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>ACA</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADAUSD</th>\n",
       "      <td>ADAUSD</td>\n",
       "      <td>ADA/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>ADA</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[2, 3]</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AIRUSD</th>\n",
       "      <td>AIRUSD</td>\n",
       "      <td>AIR/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>AIR</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YFIUSD</th>\n",
       "      <td>YFIUSD</td>\n",
       "      <td>YFI/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>YFI</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>0.00015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YGGUSD</th>\n",
       "      <td>YGGUSD</td>\n",
       "      <td>YGG/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>YGG</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZEURZUSD</th>\n",
       "      <td>EURUSD</td>\n",
       "      <td>EUR/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZEUR</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZGBPZUSD</th>\n",
       "      <td>GBPUSD</td>\n",
       "      <td>GBP/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZGBP</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>[[0, 0.2], [50000, 0.16], [100000, 0.12], [250...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZRXUSD</th>\n",
       "      <td>ZRXUSD</td>\n",
       "      <td>ZRX/USD</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZRX</td>\n",
       "      <td>currency</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>unit</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[[0, 0.26], [50000, 0.24], [100000, 0.22], [25...</td>\n",
       "      <td>[[0, 0.16], [50000, 0.14], [100000, 0.12], [25...</td>\n",
       "      <td>ZUSD</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>147 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           altname     wsname aclass_base   base aclass_quote quote   lot  \\\n",
       "1INCHUSD  1INCHUSD  1INCH/USD    currency  1INCH     currency  ZUSD  unit   \n",
       "AAVEUSD    AAVEUSD   AAVE/USD    currency   AAVE     currency  ZUSD  unit   \n",
       "ACAUSD      ACAUSD    ACA/USD    currency    ACA     currency  ZUSD  unit   \n",
       "ADAUSD      ADAUSD    ADA/USD    currency    ADA     currency  ZUSD  unit   \n",
       "AIRUSD      AIRUSD    AIR/USD    currency    AIR     currency  ZUSD  unit   \n",
       "...            ...        ...         ...    ...          ...   ...   ...   \n",
       "YFIUSD      YFIUSD    YFI/USD    currency    YFI     currency  ZUSD  unit   \n",
       "YGGUSD      YGGUSD    YGG/USD    currency    YGG     currency  ZUSD  unit   \n",
       "ZEURZUSD    EURUSD    EUR/USD    currency   ZEUR     currency  ZUSD  unit   \n",
       "ZGBPZUSD    GBPUSD    GBP/USD    currency   ZGBP     currency  ZUSD  unit   \n",
       "ZRXUSD      ZRXUSD    ZRX/USD    currency    ZRX     currency  ZUSD  unit   \n",
       "\n",
       "         pair_decimals lot_decimals lot_multiplier leverage_buy leverage_sell  \\\n",
       "1INCHUSD             3            8              1           []            []   \n",
       "AAVEUSD              2            8              1       [2, 3]        [2, 3]   \n",
       "ACAUSD               3            8              1           []            []   \n",
       "ADAUSD               6            8              1       [2, 3]        [2, 3]   \n",
       "AIRUSD               4            8              1           []            []   \n",
       "...                ...          ...            ...          ...           ...   \n",
       "YFIUSD               0            8              1           []            []   \n",
       "YGGUSD               3            8              1           []            []   \n",
       "ZEURZUSD             5            8              1           []            []   \n",
       "ZGBPZUSD             5            8              1           []            []   \n",
       "ZRXUSD               3            8              1           []            []   \n",
       "\n",
       "                                                       fees  \\\n",
       "1INCHUSD  [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "AAVEUSD   [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "ACAUSD    [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "ADAUSD    [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "AIRUSD    [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "...                                                     ...   \n",
       "YFIUSD    [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "YGGUSD    [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "ZEURZUSD  [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "ZGBPZUSD  [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "ZRXUSD    [[0, 0.26], [50000, 0.24], [100000, 0.22], [25...   \n",
       "\n",
       "                                                 fees_maker  \\\n",
       "1INCHUSD  [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "AAVEUSD   [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "ACAUSD    [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "ADAUSD    [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "AIRUSD    [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "...                                                     ...   \n",
       "YFIUSD    [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "YGGUSD    [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "ZEURZUSD  [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "ZGBPZUSD  [[0, 0.2], [50000, 0.16], [100000, 0.12], [250...   \n",
       "ZRXUSD    [[0, 0.16], [50000, 0.14], [100000, 0.12], [25...   \n",
       "\n",
       "         fee_volume_currency margin_call margin_stop ordermin  \n",
       "1INCHUSD                ZUSD          80          40        1  \n",
       "AAVEUSD                 ZUSD          80          40     0.02  \n",
       "ACAUSD                  ZUSD          80          40      0.5  \n",
       "ADAUSD                  ZUSD          80          40      2.5  \n",
       "AIRUSD                  ZUSD          80          40      5.0  \n",
       "...                      ...         ...         ...      ...  \n",
       "YFIUSD                  ZUSD          80          40  0.00015  \n",
       "YGGUSD                  ZUSD          80          40        2  \n",
       "ZEURZUSD                ZUSD          80          40        5  \n",
       "ZGBPZUSD                ZUSD          80          40        5  \n",
       "ZRXUSD                  ZUSD          80          40        5  \n",
       "\n",
       "[147 rows x 18 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "usd_pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ZRXUSD</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>[0.76200, 3000, 3000.000]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b</th>\n",
       "      <td>[0.76000, 8789, 8789.000]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c</th>\n",
       "      <td>[0.76100, 48.93631000]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>h</th>\n",
       "      <td>[0.76800, 0.77600]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l</th>\n",
       "      <td>[0.75900, 0.70600]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>o</th>\n",
       "      <td>0.76200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p</th>\n",
       "      <td>[0.76532, 0.73913]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t</th>\n",
       "      <td>[38, 925]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v</th>\n",
       "      <td>[12169.53064882, 623807.59375978]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              ZRXUSD\n",
       "a          [0.76200, 3000, 3000.000]\n",
       "b          [0.76000, 8789, 8789.000]\n",
       "c             [0.76100, 48.93631000]\n",
       "h                 [0.76800, 0.77600]\n",
       "l                 [0.75900, 0.70600]\n",
       "o                            0.76200\n",
       "p                 [0.76532, 0.73913]\n",
       "t                          [38, 925]\n",
       "v  [12169.53064882, 623807.59375978]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ticker = k.get_ticker_information('ZRXUSD')\n",
    "ticker.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### grab all the OHLC for each crypto pair"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1INCHUSD\n",
      "public call frequency exceeded (seconds=0.193494) \n",
      " sleeping for 1 seconds\n",
      "AAVEUSD\n",
      "public call frequency exceeded (seconds=0.133677) \n",
      " sleeping for 1 seconds\n",
      "ACAUSD\n",
      "public call frequency exceeded (seconds=0.244582) \n",
      " sleeping for 1 seconds\n",
      "ADAUSD\n",
      "public call frequency exceeded (seconds=0.146819) \n",
      " sleeping for 1 seconds\n",
      "AIRUSD\n",
      "public call frequency exceeded (seconds=0.165876) \n",
      " sleeping for 1 seconds\n",
      "AKTUSD\n",
      "public call frequency exceeded (seconds=0.169606) \n",
      " sleeping for 1 seconds\n",
      "ALCXUSD\n",
      "public call frequency exceeded (seconds=0.347276) \n",
      " sleeping for 1 seconds\n",
      "ALGOUSD\n",
      "public call frequency exceeded (seconds=0.286103) \n",
      " sleeping for 1 seconds\n",
      "ALICEUSD\n",
      "public call frequency exceeded (seconds=0.195808) \n",
      " sleeping for 1 seconds\n",
      "ANKRUSD\n",
      "public call frequency exceeded (seconds=0.172467) \n",
      " sleeping for 1 seconds\n",
      "ANTUSD\n",
      "public call frequency exceeded (seconds=0.125334) \n",
      " sleeping for 1 seconds\n",
      "APEUSD\n",
      "public call frequency exceeded (seconds=0.172766) \n",
      " sleeping for 1 seconds\n",
      "ASTRUSD\n",
      "public call frequency exceeded (seconds=0.11359) \n",
      " sleeping for 1 seconds\n",
      "ATLASUSD\n",
      "public call frequency exceeded (seconds=0.296919) \n",
      " sleeping for 1 seconds\n",
      "ATOMUSD\n",
      "public call frequency exceeded (seconds=0.245089) \n",
      " sleeping for 1 seconds\n",
      "AUDIOUSD\n",
      "public call frequency exceeded (seconds=0.236056) \n",
      " sleeping for 1 seconds\n",
      "AUDUSD\n",
      "public call frequency exceeded (seconds=0.155267) \n",
      " sleeping for 1 seconds\n",
      "AVAXUSD\n",
      "public call frequency exceeded (seconds=0.122146) \n",
      " sleeping for 1 seconds\n",
      "AXSUSD\n",
      "public call frequency exceeded (seconds=0.196309) \n",
      " sleeping for 1 seconds\n",
      "BADGERUSD\n",
      "public call frequency exceeded (seconds=0.361707) \n",
      " sleeping for 1 seconds\n",
      "BALUSD\n",
      "public call frequency exceeded (seconds=0.246266) \n",
      " sleeping for 1 seconds\n",
      "BANDUSD\n",
      "public call frequency exceeded (seconds=0.12223) \n",
      " sleeping for 1 seconds\n",
      "BATUSD\n",
      "public call frequency exceeded (seconds=0.223091) \n",
      " sleeping for 1 seconds\n",
      "BCHUSD\n",
      "public call frequency exceeded (seconds=0.179886) \n",
      " sleeping for 1 seconds\n",
      "BICOUSD\n",
      "public call frequency exceeded (seconds=0.154254) \n",
      " sleeping for 1 seconds\n",
      "BNCUSD\n",
      "public call frequency exceeded (seconds=0.131222) \n",
      " sleeping for 1 seconds\n",
      "BNTUSD\n",
      "public call frequency exceeded (seconds=0.299629) \n",
      " sleeping for 1 seconds\n",
      "BONDUSD\n",
      "public call frequency exceeded (seconds=0.183493) \n",
      " sleeping for 1 seconds\n",
      "CHZUSD\n",
      "public call frequency exceeded (seconds=0.113522) \n",
      " sleeping for 1 seconds\n",
      "COMPUSD\n",
      "public call frequency exceeded (seconds=0.245054) \n",
      " sleeping for 1 seconds\n",
      "CQTUSD\n",
      "public call frequency exceeded (seconds=0.184096) \n",
      " sleeping for 1 seconds\n",
      "CRVUSD\n",
      "public call frequency exceeded (seconds=0.128543) \n",
      " sleeping for 1 seconds\n",
      "CTSIUSD\n",
      "public call frequency exceeded (seconds=0.146723) \n",
      " sleeping for 1 seconds\n",
      "CVXUSD\n",
      "public call frequency exceeded (seconds=0.491186) \n",
      " sleeping for 1 seconds\n",
      "DAIUSD\n",
      "public call frequency exceeded (seconds=0.179441) \n",
      " sleeping for 1 seconds\n",
      "DASHUSD\n",
      "public call frequency exceeded (seconds=0.275549) \n",
      " sleeping for 1 seconds\n",
      "DOTUSD\n",
      "public call frequency exceeded (seconds=0.116341) \n",
      " sleeping for 1 seconds\n",
      "DYDXUSD\n",
      "public call frequency exceeded (seconds=0.167595) \n",
      " sleeping for 1 seconds\n",
      "ENJUSD\n",
      "public call frequency exceeded (seconds=0.115239) \n",
      " sleeping for 1 seconds\n",
      "ENSUSD\n",
      "public call frequency exceeded (seconds=0.337167) \n",
      " sleeping for 1 seconds\n",
      "EOSUSD\n",
      "public call frequency exceeded (seconds=0.167023) \n",
      " sleeping for 1 seconds\n",
      "EWTUSD\n",
      "public call frequency exceeded (seconds=0.202076) \n",
      " sleeping for 1 seconds\n",
      "FIDAUSD\n",
      "public call frequency exceeded (seconds=0.403717) \n",
      " sleeping for 1 seconds\n",
      "FILUSD\n",
      "public call frequency exceeded (seconds=0.168756) \n",
      " sleeping for 1 seconds\n",
      "FLOWUSD\n",
      "public call frequency exceeded (seconds=0.324233) \n",
      " sleeping for 1 seconds\n",
      "FXSUSD\n",
      "public call frequency exceeded (seconds=0.197007) \n",
      " sleeping for 1 seconds\n",
      "GALAUSD\n",
      "public call frequency exceeded (seconds=0.108435) \n",
      " sleeping for 1 seconds\n",
      "GHSTUSD\n",
      "public call frequency exceeded (seconds=0.214621) \n",
      " sleeping for 1 seconds\n",
      "GLMRUSD\n",
      "public call frequency exceeded (seconds=0.167804) \n",
      " sleeping for 1 seconds\n",
      "GNOUSD\n",
      "public call frequency exceeded (seconds=0.126653) \n",
      " sleeping for 1 seconds\n",
      "GRTUSD\n",
      "public call frequency exceeded (seconds=0.13434) \n",
      " sleeping for 1 seconds\n",
      "ICPUSD\n",
      "public call frequency exceeded (seconds=0.164592) \n",
      " sleeping for 1 seconds\n",
      "ICXUSD\n",
      "public call frequency exceeded (seconds=0.496397) \n",
      " sleeping for 1 seconds\n",
      "IMXUSD\n",
      "public call frequency exceeded (seconds=0.225661) \n",
      " sleeping for 1 seconds\n",
      "INJUSD\n",
      "public call frequency exceeded (seconds=0.146316) \n",
      " sleeping for 1 seconds\n",
      "JASMYUSD\n",
      "public call frequency exceeded (seconds=0.240975) \n",
      " sleeping for 1 seconds\n",
      "KARUSD\n",
      "public call frequency exceeded (seconds=0.151672) \n",
      " sleeping for 1 seconds\n",
      "KAVAUSD\n",
      "public call frequency exceeded (seconds=0.336462) \n",
      " sleeping for 1 seconds\n",
      "KEEPUSD\n",
      "public call frequency exceeded (seconds=0.140327) \n",
      " sleeping for 1 seconds\n",
      "KILTUSD\n",
      "public call frequency exceeded (seconds=0.13059) \n",
      " sleeping for 1 seconds\n",
      "KINTUSD\n",
      "public call frequency exceeded (seconds=0.213897) \n",
      " sleeping for 1 seconds\n",
      "KINUSD\n",
      "public call frequency exceeded (seconds=0.187681) \n",
      " sleeping for 1 seconds\n",
      "KNCUSD\n",
      "public call frequency exceeded (seconds=0.153771) \n",
      " sleeping for 1 seconds\n",
      "KP3RUSD\n",
      "public call frequency exceeded (seconds=0.451611) \n",
      " sleeping for 1 seconds\n",
      "KSMUSD\n",
      "public call frequency exceeded (seconds=0.161024) \n",
      " sleeping for 1 seconds\n",
      "LINKUSD\n",
      "public call frequency exceeded (seconds=0.120989) \n",
      " sleeping for 1 seconds\n",
      "LPTUSD\n",
      "public call frequency exceeded (seconds=0.112283) \n",
      " sleeping for 1 seconds\n",
      "LRCUSD\n",
      "public call frequency exceeded (seconds=0.244121) \n",
      " sleeping for 1 seconds\n",
      "LSKUSD\n",
      "public call frequency exceeded (seconds=0.143874) \n",
      " sleeping for 1 seconds\n",
      "LUNAUSD\n",
      "public call frequency exceeded (seconds=0.109033) \n",
      " sleeping for 1 seconds\n",
      "MANAUSD\n",
      "public call frequency exceeded (seconds=0.152992) \n",
      " sleeping for 1 seconds\n",
      "MASKUSD\n",
      "public call frequency exceeded (seconds=0.52782) \n",
      " sleeping for 1 seconds\n",
      "MATICUSD\n",
      "public call frequency exceeded (seconds=0.14965) \n",
      " sleeping for 1 seconds\n",
      "MCUSD\n",
      "public call frequency exceeded (seconds=0.166623) \n",
      " sleeping for 1 seconds\n",
      "MINAUSD\n",
      "public call frequency exceeded (seconds=0.148138) \n",
      " sleeping for 1 seconds\n",
      "MIRUSD\n",
      "public call frequency exceeded (seconds=0.154422) \n",
      " sleeping for 1 seconds\n",
      "MKRUSD\n",
      "public call frequency exceeded (seconds=0.121088) \n",
      " sleeping for 1 seconds\n",
      "MNGOUSD\n",
      "public call frequency exceeded (seconds=0.151102) \n",
      " sleeping for 1 seconds\n",
      "MOVRUSD\n",
      "public call frequency exceeded (seconds=0.30719) \n",
      " sleeping for 1 seconds\n",
      "MULTIUSD\n",
      "public call frequency exceeded (seconds=0.185196) \n",
      " sleeping for 1 seconds\n",
      "NANOUSD\n",
      "public call frequency exceeded (seconds=0.141993) \n",
      " sleeping for 1 seconds\n",
      "OCEANUSD\n",
      "public call frequency exceeded (seconds=0.203034) \n",
      " sleeping for 1 seconds\n",
      "OGNUSD\n",
      "public call frequency exceeded (seconds=0.132586) \n",
      " sleeping for 1 seconds\n",
      "OMGUSD\n",
      "public call frequency exceeded (seconds=0.167954) \n",
      " sleeping for 1 seconds\n",
      "ORCAUSD\n",
      "public call frequency exceeded (seconds=0.117846) \n",
      " sleeping for 1 seconds\n",
      "OXTUSD\n",
      "public call frequency exceeded (seconds=0.158544) \n",
      " sleeping for 1 seconds\n",
      "OXYUSD\n",
      "public call frequency exceeded (seconds=0.298259) \n",
      " sleeping for 1 seconds\n",
      "PAXGUSD\n",
      "public call frequency exceeded (seconds=0.17189) \n",
      " sleeping for 1 seconds\n",
      "PERPUSD\n",
      "public call frequency exceeded (seconds=0.125114) \n",
      " sleeping for 1 seconds\n",
      "PHAUSD\n",
      "public call frequency exceeded (seconds=0.120529) \n",
      " sleeping for 1 seconds\n",
      "PLAUSD\n",
      "public call frequency exceeded (seconds=0.177412) \n",
      " sleeping for 1 seconds\n",
      "POLISUSD\n",
      "public call frequency exceeded (seconds=0.15602) \n",
      " sleeping for 1 seconds\n",
      "POWRUSD\n",
      "public call frequency exceeded (seconds=0.170745) \n",
      " sleeping for 1 seconds\n",
      "PSTAKEUSD\n",
      "public call frequency exceeded (seconds=0.142445) \n",
      " sleeping for 1 seconds\n",
      "QNTUSD\n",
      "public call frequency exceeded (seconds=0.353902) \n",
      " sleeping for 1 seconds\n",
      "QTUMUSD\n",
      "public call frequency exceeded (seconds=0.134852) \n",
      " sleeping for 1 seconds\n",
      "RAREUSD\n",
      "public call frequency exceeded (seconds=0.161426) \n",
      " sleeping for 1 seconds\n",
      "RARIUSD\n",
      "public call frequency exceeded (seconds=0.207) \n",
      " sleeping for 1 seconds\n",
      "RAYUSD\n",
      "public call frequency exceeded (seconds=0.137231) \n",
      " sleeping for 1 seconds\n",
      "RBCUSD\n",
      "public call frequency exceeded (seconds=0.167432) \n",
      " sleeping for 1 seconds\n",
      "RENUSD\n",
      "public call frequency exceeded (seconds=0.119767) \n",
      " sleeping for 1 seconds\n",
      "REPV2USD\n",
      "public call frequency exceeded (seconds=0.174314) \n",
      " sleeping for 1 seconds\n",
      "RNDRUSD\n",
      "public call frequency exceeded (seconds=0.414121) \n",
      " sleeping for 1 seconds\n",
      "SANDUSD\n",
      "public call frequency exceeded (seconds=0.112292) \n",
      " sleeping for 1 seconds\n",
      "SBRUSD\n",
      "public call frequency exceeded (seconds=0.128434) \n",
      " sleeping for 1 seconds\n",
      "SCRTUSD\n",
      "public call frequency exceeded (seconds=0.284468) \n",
      " sleeping for 1 seconds\n",
      "SCUSD\n",
      "public call frequency exceeded (seconds=0.158325) \n",
      " sleeping for 1 seconds\n",
      "SDNUSD\n",
      "public call frequency exceeded (seconds=0.138282) \n",
      " sleeping for 1 seconds\n",
      "SGBUSD\n",
      "public call frequency exceeded (seconds=0.106654) \n",
      " sleeping for 1 seconds\n",
      "SHIBUSD\n",
      "public call frequency exceeded (seconds=0.393451) \n",
      " sleeping for 1 seconds\n",
      "SNXUSD\n",
      "public call frequency exceeded (seconds=0.141069) \n",
      " sleeping for 1 seconds\n",
      "SOLUSD\n",
      "public call frequency exceeded (seconds=0.110626) \n",
      " sleeping for 1 seconds\n",
      "SPELLUSD\n",
      "public call frequency exceeded (seconds=0.165071) \n",
      " sleeping for 1 seconds\n",
      "SRMUSD\n",
      "public call frequency exceeded (seconds=0.142927) \n",
      " sleeping for 1 seconds\n",
      "STEPUSD\n",
      "public call frequency exceeded (seconds=0.15642) \n",
      " sleeping for 1 seconds\n",
      "STORJUSD\n",
      "public call frequency exceeded (seconds=0.120173) \n",
      " sleeping for 1 seconds\n",
      "SUSHIUSD\n",
      "public call frequency exceeded (seconds=0.144107) \n",
      " sleeping for 1 seconds\n",
      "TBTCUSD\n",
      "public call frequency exceeded (seconds=0.326415) \n",
      " sleeping for 1 seconds\n",
      "TOKEUSD\n",
      "public call frequency exceeded (seconds=0.164942) \n",
      " sleeping for 1 seconds\n",
      "TRIBEUSD\n",
      "public call frequency exceeded (seconds=0.189402) \n",
      " sleeping for 1 seconds\n",
      "TRXUSD\n",
      "public call frequency exceeded (seconds=0.26719) \n",
      " sleeping for 1 seconds\n",
      "UMAUSD\n",
      "public call frequency exceeded (seconds=0.232508) \n",
      " sleeping for 1 seconds\n",
      "UNIUSD\n",
      "public call frequency exceeded (seconds=0.351524) \n",
      " sleeping for 1 seconds\n",
      "USDCUSD\n",
      "public call frequency exceeded (seconds=0.165615) \n",
      " sleeping for 1 seconds\n",
      "USDTZUSD\n",
      "public call frequency exceeded (seconds=0.139518) \n",
      " sleeping for 1 seconds\n",
      "USTUSD\n",
      "public call frequency exceeded (seconds=0.212647) \n",
      " sleeping for 1 seconds\n",
      "WAVESUSD\n",
      "public call frequency exceeded (seconds=0.187308) \n",
      " sleeping for 1 seconds\n",
      "WBTCUSD\n",
      "public call frequency exceeded (seconds=0.139582) \n",
      " sleeping for 1 seconds\n",
      "WOOUSD\n",
      "public call frequency exceeded (seconds=0.170547) \n",
      " sleeping for 1 seconds\n",
      "XDGUSD\n",
      "public call frequency exceeded (seconds=0.342125) \n",
      " sleeping for 1 seconds\n",
      "XETCZUSD\n",
      "public call frequency exceeded (seconds=0.163926) \n",
      " sleeping for 1 seconds\n",
      "XETHZUSD\n",
      "public call frequency exceeded (seconds=0.163807) \n",
      " sleeping for 1 seconds\n",
      "XLTCZUSD\n",
      "public call frequency exceeded (seconds=0.194283) \n",
      " sleeping for 1 seconds\n",
      "XMLNZUSD\n",
      "public call frequency exceeded (seconds=0.155636) \n",
      " sleeping for 1 seconds\n",
      "XREPZUSD\n",
      "public call frequency exceeded (seconds=0.126979) \n",
      " sleeping for 1 seconds\n",
      "XRTUSD\n",
      "public call frequency exceeded (seconds=0.167361) \n",
      " sleeping for 1 seconds\n",
      "XTZUSD\n",
      "public call frequency exceeded (seconds=0.49494) \n",
      " sleeping for 1 seconds\n",
      "XXBTZUSD\n",
      "public call frequency exceeded (seconds=0.156054) \n",
      " sleeping for 1 seconds\n",
      "XXLMZUSD\n",
      "public call frequency exceeded (seconds=0.234383) \n",
      " sleeping for 1 seconds\n",
      "XXMRZUSD\n",
      "public call frequency exceeded (seconds=0.155685) \n",
      " sleeping for 1 seconds\n",
      "XXRPZUSD\n",
      "public call frequency exceeded (seconds=0.133148) \n",
      " sleeping for 1 seconds\n",
      "XZECZUSD\n",
      "public call frequency exceeded (seconds=0.144462) \n",
      " sleeping for 1 seconds\n",
      "YFIUSD\n",
      "public call frequency exceeded (seconds=0.110553) \n",
      " sleeping for 1 seconds\n",
      "YGGUSD\n",
      "public call frequency exceeded (seconds=0.324269) \n",
      " sleeping for 1 seconds\n",
      "ZEURZUSD\n",
      "public call frequency exceeded (seconds=0.17333) \n",
      " sleeping for 1 seconds\n",
      "ZGBPZUSD\n",
      "public call frequency exceeded (seconds=0.160658) \n",
      " sleeping for 1 seconds\n",
      "ZRXUSD\n"
     ]
    }
   ],
   "source": [
    "list_df = []\n",
    "for row in usd_pairs.iterrows():\n",
    "\t_, altname = row\n",
    "\tohlc = k.get_ohlc_data(row[0], interval = 1440, ascending = True)\n",
    "\tprint(row[0])\n",
    "\tlist_df.append(ohlc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-08-10  1628553600  2.965  3.121  2.680  2.797  2.772   49961.053530   \n",
       "  2021-08-11  1628640000  2.797  3.500  2.797  2.969  2.999   74540.913066   \n",
       "  2021-08-12  1628726400  2.979  3.063  2.714  2.772  2.842   31159.505730   \n",
       "  2021-08-13  1628812800  2.823  3.076  2.823  3.054  2.983   14623.563758   \n",
       "  2021-08-14  1628899200  3.084  3.104  2.932  3.050  3.023   13866.226847   \n",
       "  ...                ...    ...    ...    ...    ...    ...            ...   \n",
       "  2022-04-10  1649548800  1.657  1.657  1.587  1.587  1.633   41284.523988   \n",
       "  2022-04-11  1649635200  1.581  1.600  1.423  1.454  1.504   64340.331123   \n",
       "  2022-04-12  1649721600  1.461  1.525  1.445  1.517  1.497  102849.198550   \n",
       "  2022-04-13  1649808000  1.517  1.554  1.426  1.551  1.512  102537.553901   \n",
       "  2022-04-14  1649894400  1.551  1.568  1.548  1.565  1.555   20628.786055   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-08-10    401  \n",
       "  2021-08-11    601  \n",
       "  2021-08-12    264  \n",
       "  2021-08-13    124  \n",
       "  2021-08-14    114  \n",
       "  ...           ...  \n",
       "  2022-04-10    184  \n",
       "  2022-04-11    530  \n",
       "  2022-04-12    606  \n",
       "  2022-04-13    469  \n",
       "  2022-04-14     46  \n",
       "  \n",
       "  [248 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-12-15  1607990400  109.90  109.90   86.00   90.95   88.76   2122.891350   \n",
       "  2020-12-16  1608076800   90.94   90.95   81.02   87.69   85.71   3684.055663   \n",
       "  2020-12-17  1608163200   88.00   94.00   83.26   85.06   86.84   6320.748057   \n",
       "  2020-12-18  1608249600   84.68   90.38   82.25   90.38   84.64   2963.090516   \n",
       "  2020-12-19  1608336000   90.90   96.39   88.28   88.29   92.75   2987.833925   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  184.97  188.76  175.47  176.54  183.53   4531.184506   \n",
       "  2022-04-11  1649635200  176.30  177.95  155.73  157.93  163.99  13019.894034   \n",
       "  2022-04-12  1649721600  158.21  171.00  157.08  164.52  164.92   6686.487925   \n",
       "  2022-04-13  1649808000  164.83  179.47  162.82  178.26  170.09   5194.362550   \n",
       "  2022-04-14  1649894400  178.26  179.18  176.62  178.92  178.23    158.487365   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-12-15    661  \n",
       "  2020-12-16    554  \n",
       "  2020-12-17    531  \n",
       "  2020-12-18    307  \n",
       "  2020-12-19    415  \n",
       "  ...           ...  \n",
       "  2022-04-10   1961  \n",
       "  2022-04-11   3809  \n",
       "  2022-04-12   3102  \n",
       "  2022-04-13   2912  \n",
       "  2022-04-14    147  \n",
       "  \n",
       "  [486 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2022-03-14  1647216000  0.983  1.243  0.973  1.140  1.114   76671.605128   \n",
       "  2022-03-15  1647302400  1.140  1.266  1.027  1.071  1.125   62703.042574   \n",
       "  2022-03-16  1647388800  1.072  1.159  1.031  1.107  1.092   41263.511705   \n",
       "  2022-03-17  1647475200  1.107  1.135  1.055  1.071  1.091   22119.224563   \n",
       "  2022-03-18  1647561600  1.070  1.124  0.856  1.124  1.023   65275.988317   \n",
       "  2022-03-19  1647648000  1.121  1.238  1.080  1.170  1.149   53511.608768   \n",
       "  2022-03-20  1647734400  1.164  1.264  1.143  1.175  1.184   54137.857161   \n",
       "  2022-03-21  1647820800  1.179  1.330  1.176  1.256  1.251   28609.417232   \n",
       "  2022-03-22  1647907200  1.254  1.292  1.152  1.221  1.237   60667.103832   \n",
       "  2022-03-23  1647993600  1.221  1.599  1.154  1.275  1.267   73251.528019   \n",
       "  2022-03-24  1648080000  1.275  1.416  1.238  1.286  1.324   55140.141960   \n",
       "  2022-03-25  1648166400  1.286  1.359  1.170  1.187  1.280   50805.429852   \n",
       "  2022-03-26  1648252800  1.200  1.290  1.163  1.200  1.197   35755.769038   \n",
       "  2022-03-27  1648339200  1.207  1.270  1.138  1.232  1.190   38865.715420   \n",
       "  2022-03-28  1648425600  1.221  1.331  1.197  1.259  1.259  116660.333317   \n",
       "  2022-03-29  1648512000  1.240  1.367  1.231  1.267  1.301  145680.506125   \n",
       "  2022-03-30  1648598400  1.267  1.370  1.266  1.331  1.319  103602.799739   \n",
       "  2022-03-31  1648684800  1.317  1.578  1.285  1.415  1.436   95996.642337   \n",
       "  2022-04-01  1648771200  1.427  1.816  1.427  1.766  1.609   83969.476195   \n",
       "  2022-04-02  1648857600  1.764  2.155  1.620  1.726  1.825  120273.076716   \n",
       "  2022-04-03  1648944000  1.741  1.970  1.615  1.666  1.719   61352.051613   \n",
       "  2022-04-04  1649030400  1.680  2.045  1.606  1.887  1.795  110990.309919   \n",
       "  2022-04-05  1649116800  1.872  1.927  1.677  1.751  1.762   38298.585236   \n",
       "  2022-04-06  1649203200  1.738  1.887  1.496  1.533  1.628   77542.264799   \n",
       "  2022-04-07  1649289600  1.529  1.740  1.497  1.651  1.648   37933.960794   \n",
       "  2022-04-08  1649376000  1.651  1.740  1.476  1.495  1.646   36983.389944   \n",
       "  2022-04-09  1649462400  1.495  1.615  1.480  1.581  1.568   13240.640456   \n",
       "  2022-04-10  1649548800  1.579  1.847  1.523  1.737  1.719   77342.896424   \n",
       "  2022-04-11  1649635200  1.737  1.737  1.438  1.514  1.519  140917.224444   \n",
       "  2022-04-12  1649721600  1.516  1.598  1.401  1.468  1.523   50517.419218   \n",
       "  2022-04-13  1649808000  1.452  1.610  1.395  1.509  1.524   55821.210616   \n",
       "  2022-04-14  1649894400  1.514  1.554  1.514  1.536  1.542    4100.174565   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14    986  \n",
       "  2022-03-15   1176  \n",
       "  2022-03-16    771  \n",
       "  2022-03-17    276  \n",
       "  2022-03-18    650  \n",
       "  2022-03-19    440  \n",
       "  2022-03-20    574  \n",
       "  2022-03-21    447  \n",
       "  2022-03-22    543  \n",
       "  2022-03-23   1400  \n",
       "  2022-03-24   1555  \n",
       "  2022-03-25    752  \n",
       "  2022-03-26    797  \n",
       "  2022-03-27    648  \n",
       "  2022-03-28   1246  \n",
       "  2022-03-29   1233  \n",
       "  2022-03-30    872  \n",
       "  2022-03-31   1820  \n",
       "  2022-04-01   1803  \n",
       "  2022-04-02   2975  \n",
       "  2022-04-03   1219  \n",
       "  2022-04-04   1607  \n",
       "  2022-04-05    927  \n",
       "  2022-04-06    907  \n",
       "  2022-04-07    654  \n",
       "  2022-04-08    701  \n",
       "  2022-04-09    327  \n",
       "  2022-04-10   1228  \n",
       "  2022-04-11   1047  \n",
       "  2022-04-12    699  \n",
       "  2022-04-13    555  \n",
       "  2022-04-14     34  ,\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2020-04-25  1587772800  0.041610  0.043534  0.041100  0.042170  0.042434   \n",
       "  2020-04-26  1587859200  0.042289  0.046196  0.041978  0.045900  0.044634   \n",
       "  2020-04-27  1587945600  0.045900  0.047500  0.044235  0.046617  0.045937   \n",
       "  2020-04-28  1588032000  0.046617  0.048097  0.046213  0.046957  0.047199   \n",
       "  2020-04-29  1588118400  0.047000  0.052399  0.046862  0.051550  0.050715   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800  1.044207  1.069086  1.024614  1.026941  1.050206   \n",
       "  2022-04-11  1649635200  1.027296  1.032699  0.917471  0.919516  0.962091   \n",
       "  2022-04-12  1649721600  0.919771  0.981639  0.916833  0.953000  0.951500   \n",
       "  2022-04-13  1649808000  0.953000  0.979164  0.936025  0.974670  0.957713   \n",
       "  2022-04-14  1649894400  0.974346  0.980092  0.970683  0.980092  0.975851   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  6.199257e+06    655  \n",
       "  2020-04-26  8.827829e+06    986  \n",
       "  2020-04-27  7.415292e+06    867  \n",
       "  2020-04-28  6.446907e+06    649  \n",
       "  2020-04-29  1.516681e+07   1615  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  4.004241e+06   4072  \n",
       "  2022-04-11  1.692670e+07  13556  \n",
       "  2022-04-12  9.891008e+06   7598  \n",
       "  2022-04-13  5.908579e+06   5162  \n",
       "  2022-04-14  1.095303e+05    170  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-14  1647216000  0.0687  0.0725  0.0673  0.0678  0.0687  2.507266e+05   \n",
       "  2022-03-15  1647302400  0.0678  0.0684  0.0575  0.0627  0.0627  4.910543e+05   \n",
       "  2022-03-16  1647388800  0.0619  0.0629  0.0550  0.0577  0.0591  1.719745e+05   \n",
       "  2022-03-17  1647475200  0.0581  0.0647  0.0576  0.0594  0.0605  7.576438e+04   \n",
       "  2022-03-18  1647561600  0.0601  0.0671  0.0557  0.0644  0.0615  1.979110e+05   \n",
       "  2022-03-19  1647648000  0.0632  0.0674  0.0581  0.0667  0.0641  1.071277e+05   \n",
       "  2022-03-20  1647734400  0.0624  0.0725  0.0578  0.0608  0.0627  2.147651e+05   \n",
       "  2022-03-21  1647820800  0.0606  0.0679  0.0603  0.0640  0.0636  9.128475e+04   \n",
       "  2022-03-22  1647907200  0.0641  0.0680  0.0561  0.0626  0.0611  2.902678e+05   \n",
       "  2022-03-23  1647993600  0.0618  0.0685  0.0563  0.0589  0.0596  6.694741e+05   \n",
       "  2022-03-24  1648080000  0.0598  0.0655  0.0576  0.0615  0.0610  2.480022e+05   \n",
       "  2022-03-25  1648166400  0.0616  0.0659  0.0465  0.0550  0.0542  3.052700e+06   \n",
       "  2022-03-26  1648252800  0.0559  0.0616  0.0509  0.0533  0.0547  8.046380e+05   \n",
       "  2022-03-27  1648339200  0.0533  0.0560  0.0485  0.0544  0.0514  4.387539e+05   \n",
       "  2022-03-28  1648425600  0.0548  0.0560  0.0482  0.0535  0.0523  9.947961e+05   \n",
       "  2022-03-29  1648512000  0.0532  0.0552  0.0504  0.0504  0.0521  3.716264e+05   \n",
       "  2022-03-30  1648598400  0.0526  0.0550  0.0511  0.0533  0.0527  2.885740e+05   \n",
       "  2022-03-31  1648684800  0.0522  0.0560  0.0520  0.0544  0.0547  2.565591e+05   \n",
       "  2022-04-01  1648771200  0.0552  0.0579  0.0530  0.0554  0.0546  2.878995e+05   \n",
       "  2022-04-02  1648857600  0.0552  0.0564  0.0535  0.0552  0.0548  3.032367e+05   \n",
       "  2022-04-03  1648944000  0.0561  0.0564  0.0542  0.0558  0.0554  1.080906e+05   \n",
       "  2022-04-04  1649030400  0.0556  0.0565  0.0527  0.0528  0.0554  1.190533e+05   \n",
       "  2022-04-05  1649116800  0.0550  0.0558  0.0525  0.0538  0.0533  8.482764e+04   \n",
       "  2022-04-06  1649203200  0.0528  0.0584  0.0495  0.0508  0.0530  3.075436e+05   \n",
       "  2022-04-07  1649289600  0.0513  0.0553  0.0507  0.0552  0.0531  1.265143e+05   \n",
       "  2022-04-08  1649376000  0.0533  0.0549  0.0507  0.0516  0.0524  7.659046e+04   \n",
       "  2022-04-09  1649462400  0.0519  0.0523  0.0499  0.0500  0.0507  1.266885e+05   \n",
       "  2022-04-10  1649548800  0.0505  0.0511  0.0476  0.0511  0.0500  1.843471e+05   \n",
       "  2022-04-11  1649635200  0.0501  0.0508  0.0428  0.0460  0.0463  2.754780e+05   \n",
       "  2022-04-12  1649721600  0.0460  0.0462  0.0424  0.0448  0.0446  1.068095e+05   \n",
       "  2022-04-13  1649808000  0.0433  0.0468  0.0430  0.0450  0.0455  6.940709e+04   \n",
       "  2022-04-14  1649894400  0.0446  0.0450  0.0438  0.0438  0.0445  1.989586e+02   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14     93  \n",
       "  2022-03-15    256  \n",
       "  2022-03-16    280  \n",
       "  2022-03-17    722  \n",
       "  2022-03-18    142  \n",
       "  2022-03-19    163  \n",
       "  2022-03-20    176  \n",
       "  2022-03-21    137  \n",
       "  2022-03-22    382  \n",
       "  2022-03-23   1843  \n",
       "  2022-03-24    288  \n",
       "  2022-03-25   2048  \n",
       "  2022-03-26    484  \n",
       "  2022-03-27    366  \n",
       "  2022-03-28    733  \n",
       "  2022-03-29    290  \n",
       "  2022-03-30    199  \n",
       "  2022-03-31    897  \n",
       "  2022-04-01    148  \n",
       "  2022-04-02    159  \n",
       "  2022-04-03    100  \n",
       "  2022-04-04     85  \n",
       "  2022-04-05     81  \n",
       "  2022-04-06    132  \n",
       "  2022-04-07     70  \n",
       "  2022-04-08    764  \n",
       "  2022-04-09    109  \n",
       "  2022-04-10    185  \n",
       "  2022-04-11    152  \n",
       "  2022-04-12     69  \n",
       "  2022-04-13     81  \n",
       "  2022-04-14      4  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-14  1647216000  1.0255  1.0531  1.0170  1.0411  1.0353   7435.457736   \n",
       "  2022-03-15  1647302400  1.0430  1.1012  1.0430  1.0690  1.0763  15535.396632   \n",
       "  2022-03-16  1647388800  1.0730  1.1107  1.0690  1.1107  1.0828  29806.537479   \n",
       "  2022-03-17  1647475200  1.1052  1.1279  1.0900  1.1105  1.1083  11340.398011   \n",
       "  2022-03-18  1647561600  1.1106  1.1144  1.0743  1.1130  1.0996  27248.521318   \n",
       "  2022-03-19  1647648000  1.1124  1.1520  1.1090  1.1204  1.1276  16517.173371   \n",
       "  2022-03-20  1647734400  1.1200  1.1828  1.1167  1.1375  1.1388  17493.585276   \n",
       "  2022-03-21  1647820800  1.1318  1.1747  1.1318  1.1670  1.1561   5875.382807   \n",
       "  2022-03-22  1647907200  1.1727  1.2090  1.1692  1.1788  1.1924  35488.671942   \n",
       "  2022-03-23  1647993600  1.1788  1.1828  1.1402  1.1647  1.1593  12205.925653   \n",
       "  2022-03-24  1648080000  1.1667  1.2213  1.1632  1.2014  1.2071  25356.082169   \n",
       "  2022-03-25  1648166400  1.2029  1.2192  1.1177  1.1243  1.1575  42290.768527   \n",
       "  2022-03-26  1648252800  1.1243  1.1788  1.1223  1.1788  1.1440   8166.678638   \n",
       "  2022-03-27  1648339200  1.1788  1.2742  1.1788  1.2679  1.2249  31043.509857   \n",
       "  2022-03-28  1648425600  1.2742  1.3803  1.2724  1.2915  1.3174  61255.020912   \n",
       "  2022-03-29  1648512000  1.2916  1.3418  1.2915  1.2921  1.3205  16581.969836   \n",
       "  2022-03-30  1648598400  1.2958  1.3285  1.2577  1.3072  1.2820  41932.431882   \n",
       "  2022-03-31  1648684800  1.3074  1.3386  1.2802  1.2875  1.3155  16953.480430   \n",
       "  2022-04-01  1648771200  1.2893  1.3207  1.2636  1.2963  1.2862  10935.896030   \n",
       "  2022-04-02  1648857600  1.2986  1.4460  1.2513  1.3800  1.3465  60831.807358   \n",
       "  2022-04-03  1648944000  1.3734  1.4185  1.3343  1.4185  1.3790  31944.516759   \n",
       "  2022-04-04  1649030400  1.4138  1.4460  1.3756  1.4174  1.4183  31521.176012   \n",
       "  2022-04-05  1649116800  1.4185  1.4209  1.3688  1.3756  1.3914  16679.587093   \n",
       "  2022-04-06  1649203200  1.3756  1.3756  1.3023  1.3023  1.3394  13895.690654   \n",
       "  2022-04-07  1649289600  1.3009  1.3009  1.2701  1.2894  1.2856   9699.216071   \n",
       "  2022-04-08  1649376000  1.2939  1.3485  1.2939  1.3024  1.3215  11225.448210   \n",
       "  2022-04-09  1649462400  1.3023  1.3023  1.2639  1.2963  1.2784  15718.781363   \n",
       "  2022-04-10  1649548800  1.2957  1.2957  1.2573  1.2766  1.2771   4857.694931   \n",
       "  2022-04-11  1649635200  1.2745  1.2745  1.1489  1.1566  1.2147  34580.730193   \n",
       "  2022-04-12  1649721600  1.1510  1.2009  1.1509  1.1667  1.1773   8547.702493   \n",
       "  2022-04-13  1649808000  1.1687  1.2084  1.1687  1.2084  1.1896  13503.613238   \n",
       "  2022-04-14  1649894400  1.2084  1.2084  1.2084  1.2084  1.2084      3.500110   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14     81  \n",
       "  2022-03-15    125  \n",
       "  2022-03-16    159  \n",
       "  2022-03-17     79  \n",
       "  2022-03-18    119  \n",
       "  2022-03-19    126  \n",
       "  2022-03-20    151  \n",
       "  2022-03-21     66  \n",
       "  2022-03-22    203  \n",
       "  2022-03-23     99  \n",
       "  2022-03-24    160  \n",
       "  2022-03-25    266  \n",
       "  2022-03-26     95  \n",
       "  2022-03-27    195  \n",
       "  2022-03-28    537  \n",
       "  2022-03-29    167  \n",
       "  2022-03-30    179  \n",
       "  2022-03-31    119  \n",
       "  2022-04-01    128  \n",
       "  2022-04-02    404  \n",
       "  2022-04-03    186  \n",
       "  2022-04-04    142  \n",
       "  2022-04-05    112  \n",
       "  2022-04-06    106  \n",
       "  2022-04-07     62  \n",
       "  2022-04-08    113  \n",
       "  2022-04-09     82  \n",
       "  2022-04-10     52  \n",
       "  2022-04-11    221  \n",
       "  2022-04-12     99  \n",
       "  2022-04-13     80  \n",
       "  2022-04-14      1  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap      volume  \\\n",
       "  dtime                                                                        \n",
       "  2022-04-01  1648771200  325.00  325.00  129.00  137.84  137.93   67.288006   \n",
       "  2022-04-02  1648857600  130.06  145.61  125.01  125.01  131.77  447.717376   \n",
       "  2022-04-03  1648944000  125.01  135.54  123.46  131.28  129.01  436.906261   \n",
       "  2022-04-04  1649030400  131.28  131.28  111.50  122.94  119.82  212.941765   \n",
       "  2022-04-05  1649116800  123.00  126.31  113.56  113.56  122.21   69.078153   \n",
       "  2022-04-06  1649203200  110.35  123.89   80.90  100.35  108.24  207.427530   \n",
       "  2022-04-07  1649289600  103.57  105.46  100.00  105.17  102.90   28.728670   \n",
       "  2022-04-08  1649376000  105.37  105.46   92.21   92.21   97.21  102.673094   \n",
       "  2022-04-09  1649462400   95.80   99.45   91.41   94.17   96.96   39.775522   \n",
       "  2022-04-10  1649548800   99.63   99.84   92.99   99.84   97.59   41.556499   \n",
       "  2022-04-11  1649635200   92.74   92.74   73.26   79.80   84.07  292.060899   \n",
       "  2022-04-12  1649721600   79.11   82.62   74.41   82.62   80.74  100.982228   \n",
       "  2022-04-13  1649808000   82.56   82.56   76.41   78.98   78.00  111.976880   \n",
       "  2022-04-14  1649894400   79.28   79.28   79.28   79.28   79.28    3.798430   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-04-01     62  \n",
       "  2022-04-02    222  \n",
       "  2022-04-03    114  \n",
       "  2022-04-04    110  \n",
       "  2022-04-05     40  \n",
       "  2022-04-06     63  \n",
       "  2022-04-07     29  \n",
       "  2022-04-08     50  \n",
       "  2022-04-09     28  \n",
       "  2022-04-10     29  \n",
       "  2022-04-11    121  \n",
       "  2022-04-12     49  \n",
       "  2022-04-13     42  \n",
       "  2022-04-14      2  ,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800  0.20829  0.22564  0.20272  0.21089  0.21730   \n",
       "  2020-04-26  1587859200  0.21228  0.23389  0.21144  0.22500  0.22391   \n",
       "  2020-04-27  1587945600  0.22607  0.22766  0.20770  0.21457  0.21567   \n",
       "  2020-04-28  1588032000  0.21763  0.22390  0.21016  0.21643  0.21742   \n",
       "  2020-04-29  1588118400  0.21582  0.23082  0.21573  0.23053  0.22443   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.78784  0.78976  0.74839  0.75103  0.77540   \n",
       "  2022-04-11  1649635200  0.74921  0.76041  0.68190  0.69252  0.71028   \n",
       "  2022-04-12  1649721600  0.69323  0.74395  0.68613  0.72541  0.71720   \n",
       "  2022-04-13  1649808000  0.72599  0.74775  0.71438  0.74540  0.73721   \n",
       "  2022-04-14  1649894400  0.74492  0.75548  0.74349  0.75325  0.75196   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  7.410636e+05    445  \n",
       "  2020-04-26  8.898391e+05    715  \n",
       "  2020-04-27  1.124848e+06    486  \n",
       "  2020-04-28  4.912756e+05    289  \n",
       "  2020-04-29  2.096269e+06    898  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  3.310764e+05   1472  \n",
       "  2022-04-11  1.746206e+06   2973  \n",
       "  2022-04-12  1.131823e+06   2273  \n",
       "  2022-04-13  8.034518e+05   1771  \n",
       "  2022-04-14  3.534661e+04    136  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2022-03-14  1647216000  5.573  5.603  5.489  5.489  5.509    131.928093      4\n",
       "  2022-03-15  1647302400  5.619  5.778  5.585  5.778  5.698   1189.455775     12\n",
       "  2022-03-16  1647388800  5.901  6.166  5.678  6.143  5.855   5612.774983     35\n",
       "  2022-03-17  1647475200  6.244  6.431  6.104  6.224  6.238   5265.958037     44\n",
       "  2022-03-18  1647561600  6.170  6.270  5.997  6.211  6.050   3191.265784     28\n",
       "  2022-03-19  1647648000  6.380  6.690  6.346  6.497  6.556   1783.901075     45\n",
       "  2022-03-20  1647734400  6.415  6.670  6.146  6.217  6.388   5102.002610     44\n",
       "  2022-03-21  1647820800  6.186  6.515  6.185  6.362  6.438   2044.892128     17\n",
       "  2022-03-22  1647907200  6.376  6.748  6.376  6.536  6.617   5774.402126     42\n",
       "  2022-03-23  1647993600  6.563  6.913  6.497  6.823  6.692   2533.141865     28\n",
       "  2022-03-24  1648080000  7.093  7.180  6.969  7.166  7.096   3510.720863     42\n",
       "  2022-03-25  1648166400  7.137  7.225  5.521  6.896  6.849   1755.185558     31\n",
       "  2022-03-26  1648252800  7.094  7.143  6.994  7.101  7.049    497.945496     13\n",
       "  2022-03-27  1648339200  7.185  7.633  7.185  7.633  7.369   5370.369639     59\n",
       "  2022-03-28  1648425600  7.676  8.047  7.171  7.171  7.589   7337.499284     83\n",
       "  2022-03-29  1648512000  7.443  7.803  7.398  7.398  7.508   2850.551706     36\n",
       "  2022-03-30  1648598400  7.563  7.918  7.326  7.793  7.761   5263.219748     47\n",
       "  2022-03-31  1648684800  7.853  8.237  7.460  7.460  7.861   8422.628446    120\n",
       "  2022-04-01  1648771200  7.517  8.707  7.038  8.374  7.816   9947.044909    102\n",
       "  2022-04-02  1648857600  8.331  8.765  8.194  8.345  8.447  14941.342554    150\n",
       "  2022-04-03  1648944000  8.283  8.368  7.916  8.111  8.105   2957.647392     29\n",
       "  2022-04-04  1649030400  8.229  8.346  7.641  7.860  7.928   2090.098948     29\n",
       "  2022-04-05  1649116800  8.048  8.197  7.831  7.886  7.981   3171.519507     24\n",
       "  2022-04-06  1649203200  7.407  7.439  6.697  6.697  7.047   9537.489107     76\n",
       "  2022-04-07  1649289600  6.894  7.058  6.595  7.000  6.772   1722.515770     14\n",
       "  2022-04-08  1649376000  7.107  7.107  6.522  6.522  7.029    198.385311     14\n",
       "  2022-04-09  1649462400  6.542  6.806  6.542  6.806  6.661    140.620631     15\n",
       "  2022-04-10  1649548800  6.800  6.920  6.661  6.700  6.720    221.460213     13\n",
       "  2022-04-11  1649635200  6.554  6.554  6.041  6.126  6.182   2903.596184     33\n",
       "  2022-04-12  1649721600  6.138  6.500  6.130  6.279  6.391   4184.041243     24\n",
       "  2022-04-13  1649808000  6.505  6.631  6.372  6.532  6.536    438.980953      9\n",
       "  2022-04-14  1649894400  6.592  6.592  6.592  6.592  6.592      1.029997      1,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2021-05-24  1621814400  0.13990  0.13990  0.10519  0.11241  0.11600   \n",
       "  2021-05-25  1621900800  0.11439  0.11515  0.09978  0.10630  0.10590   \n",
       "  2021-05-26  1621987200  0.10583  0.11449  0.10479  0.11388  0.11201   \n",
       "  2021-05-27  1622073600  0.11436  0.11482  0.10599  0.10965  0.11173   \n",
       "  2021-05-28  1622160000  0.10844  0.10975  0.09506  0.09729  0.09985   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.07899  0.07953  0.07578  0.07578  0.07737   \n",
       "  2022-04-11  1649635200  0.07618  0.07633  0.06687  0.06803  0.07111   \n",
       "  2022-04-12  1649721600  0.06858  0.08196  0.06769  0.07789  0.07685   \n",
       "  2022-04-13  1649808000  0.07723  0.07968  0.07554  0.07822  0.07779   \n",
       "  2022-04-14  1649894400  0.07800  0.07825  0.07685  0.07825  0.07761   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2021-05-24  6.224857e+05    377  \n",
       "  2021-05-25  4.677214e+05    208  \n",
       "  2021-05-26  6.490240e+05    193  \n",
       "  2021-05-27  2.689362e+05     95  \n",
       "  2021-05-28  2.304298e+05     75  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  3.945617e+05    147  \n",
       "  2022-04-11  8.626630e+05    358  \n",
       "  2022-04-12  4.645915e+06   1322  \n",
       "  2022-04-13  5.455726e+05    337  \n",
       "  2022-04-14  5.007874e+04     28  \n",
       "  \n",
       "  [326 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-11-24  1606176000  4.4100  5.9000  4.0000  4.0544  4.1736  37396.869350   \n",
       "  2020-11-25  1606262400  4.0649  4.6800  3.7000  3.9000  4.0867  28493.891222   \n",
       "  2020-11-26  1606348800  3.8700  4.2499  3.0100  3.2381  3.3519  28945.225544   \n",
       "  2020-11-27  1606435200  3.3988  3.3988  3.0312  3.1394  3.1534  16093.745324   \n",
       "  2020-11-28  1606521600  3.1452  3.3676  3.1390  3.2615  3.2643   8781.547220   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  4.7266  4.8164  4.5884  4.5900  4.7577  12042.144006   \n",
       "  2022-04-11  1649635200  4.5755  4.6065  4.1116  4.1455  4.3666  13628.313516   \n",
       "  2022-04-12  1649721600  4.1916  4.4355  4.1421  4.3518  4.2633  27978.036643   \n",
       "  2022-04-13  1649808000  4.3490  4.4498  4.2142  4.4495  4.3797  19615.025658   \n",
       "  2022-04-14  1649894400  4.4336  4.4909  4.4256  4.4909  4.4600    566.187011   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-11-24    429  \n",
       "  2020-11-25    686  \n",
       "  2020-11-26    402  \n",
       "  2020-11-27    184  \n",
       "  2020-11-28    125  \n",
       "  ...           ...  \n",
       "  2022-04-10    258  \n",
       "  2022-04-11    382  \n",
       "  2022-04-12    399  \n",
       "  2022-04-13    251  \n",
       "  2022-04-14     18  \n",
       "  \n",
       "  [507 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2022-03-22  1647907200  10.7726  12.6540  10.5258  12.1928  11.8144   \n",
       "  2022-03-23  1647993600  12.2321  13.5148  11.4591  13.2867  12.6639   \n",
       "  2022-03-24  1648080000  13.3203  14.5670  12.7434  12.8433  13.7081   \n",
       "  2022-03-25  1648166400  12.8673  13.6871  12.2588  12.3839  12.9152   \n",
       "  2022-03-26  1648252800  12.4012  14.2500  12.4012  13.8702  13.5858   \n",
       "  2022-03-27  1648339200  13.8452  14.3549  13.3236  14.2856  13.9495   \n",
       "  2022-03-28  1648425600  14.2666  15.5425  13.9228  14.0193  14.9365   \n",
       "  2022-03-29  1648512000  14.0323  14.5574  13.3300  13.6061  13.9628   \n",
       "  2022-03-30  1648598400  13.5950  14.5630  13.0490  14.2294  13.9499   \n",
       "  2022-03-31  1648684800  14.1970  14.3708  12.5259  12.6997  13.4531   \n",
       "  2022-04-01  1648771200  12.7203  13.5821  12.2558  12.8046  12.8716   \n",
       "  2022-04-02  1648857600  12.7635  13.8071  12.4000  12.4297  12.8122   \n",
       "  2022-04-03  1648944000  12.4366  12.9037  11.8972  12.3776  12.4394   \n",
       "  2022-04-04  1649030400  12.3751  12.3921  11.1721  11.9527  11.7364   \n",
       "  2022-04-05  1649116800  11.9491  12.7825  11.5301  11.6343  12.2882   \n",
       "  2022-04-06  1649203200  11.6089  12.0219  10.5380  10.6592  11.2406   \n",
       "  2022-04-07  1649289600  10.6598  11.2831  10.6557  11.2414  11.0206   \n",
       "  2022-04-08  1649376000  11.1832  11.5952  10.6818  10.7972  11.1850   \n",
       "  2022-04-09  1649462400  10.7895  11.0377  10.6138  10.9860  10.8106   \n",
       "  2022-04-10  1649548800  10.9910  12.3792  10.8387  12.0511  11.8772   \n",
       "  2022-04-11  1649635200  12.0608  12.2058  10.6818  10.9373  11.1991   \n",
       "  2022-04-12  1649721600  10.9396  12.0976  10.7131  11.6178  11.4493   \n",
       "  2022-04-13  1649808000  11.6004  13.4472  11.4730  13.2492  12.3635   \n",
       "  2022-04-14  1649894400  13.2762  13.3890  13.0105  13.1621  13.1861   \n",
       "  \n",
       "                     volume  count  \n",
       "  dtime                             \n",
       "  2022-03-22  370405.844246   4259  \n",
       "  2022-03-23  676958.863803   8052  \n",
       "  2022-03-24  480966.413697   6922  \n",
       "  2022-03-25  203824.721021   4402  \n",
       "  2022-03-26  285634.849011   4585  \n",
       "  2022-03-27  265316.384833   4541  \n",
       "  2022-03-28  559192.212216  11789  \n",
       "  2022-03-29  221919.754408   8330  \n",
       "  2022-03-30  322305.209190   9378  \n",
       "  2022-03-31  231645.003580   7553  \n",
       "  2022-04-01  177142.278236   6241  \n",
       "  2022-04-02  307716.070114   6922  \n",
       "  2022-04-03  370229.874962   5212  \n",
       "  2022-04-04  201124.068057   5404  \n",
       "  2022-04-05  304752.893705   6656  \n",
       "  2022-04-06  224013.000189   8378  \n",
       "  2022-04-07   85646.293900   5471  \n",
       "  2022-04-08   89879.380082   4845  \n",
       "  2022-04-09   35453.198735   1756  \n",
       "  2022-04-10  157780.973681   6230  \n",
       "  2022-04-11  175991.845273   8377  \n",
       "  2022-04-12  137613.724162   5989  \n",
       "  2022-04-13  258728.714509   8551  \n",
       "  2022-04-14    6615.791904    491  ,\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2022-03-14  1647216000  0.104  0.106  0.102  0.104  0.103  8.822015e+04     55\n",
       "  2022-03-15  1647302400  0.103  0.105  0.100  0.101  0.101  2.184457e+05     97\n",
       "  2022-03-16  1647388800  0.101  0.105  0.099  0.105  0.102  1.712400e+05    137\n",
       "  2022-03-17  1647475200  0.106  0.110  0.105  0.108  0.107  3.127817e+05    130\n",
       "  2022-03-18  1647561600  0.109  0.109  0.103  0.105  0.104  1.632795e+05     72\n",
       "  2022-03-19  1647648000  0.105  0.112  0.105  0.110  0.108  1.566694e+05     95\n",
       "  2022-03-20  1647734400  0.108  0.109  0.104  0.106  0.105  6.795490e+04     55\n",
       "  2022-03-21  1647820800  0.106  0.106  0.102  0.103  0.103  2.315644e+05    147\n",
       "  2022-03-22  1647907200  0.102  0.109  0.102  0.105  0.104  1.433405e+05    156\n",
       "  2022-03-23  1647993600  0.105  0.109  0.103  0.106  0.105  9.001764e+04    171\n",
       "  2022-03-24  1648080000  0.106  0.119  0.106  0.115  0.113  3.425056e+05    110\n",
       "  2022-03-25  1648166400  0.113  0.115  0.109  0.109  0.110  1.126897e+05     85\n",
       "  2022-03-26  1648252800  0.111  0.114  0.109  0.113  0.111  1.810279e+05     60\n",
       "  2022-03-27  1648339200  0.111  0.115  0.110  0.114  0.113  2.902268e+05     71\n",
       "  2022-03-28  1648425600  0.113  0.131  0.113  0.125  0.120  3.439155e+05    165\n",
       "  2022-03-29  1648512000  0.125  0.167  0.103  0.141  0.152  1.638263e+06    846\n",
       "  2022-03-30  1648598400  0.143  0.154  0.140  0.151  0.149  3.013329e+05    315\n",
       "  2022-03-31  1648684800  0.153  0.186  0.153  0.174  0.171  4.858458e+05    675\n",
       "  2022-04-01  1648771200  0.175  0.288  0.167  0.257  0.203  1.439116e+06    976\n",
       "  2022-04-02  1648857600  0.258  0.280  0.212  0.234  0.249  2.397584e+06   1561\n",
       "  2022-04-03  1648944000  0.237  0.243  0.213  0.216  0.229  5.341089e+05    348\n",
       "  2022-04-04  1649030400  0.217  0.238  0.198  0.231  0.208  8.232626e+05    448\n",
       "  2022-04-05  1649116800  0.230  0.272  0.218  0.218  0.246  3.230691e+06    870\n",
       "  2022-04-06  1649203200  0.216  0.237  0.206  0.211  0.217  6.106949e+05    277\n",
       "  2022-04-07  1649289600  0.210  0.245  0.205  0.236  0.229  1.698973e+06    839\n",
       "  2022-04-08  1649376000  0.237  0.285  0.224  0.234  0.238  1.998555e+06    951\n",
       "  2022-04-09  1649462400  0.234  0.289  0.228  0.265  0.259  1.537159e+06    996\n",
       "  2022-04-10  1649548800  0.267  0.338  0.259  0.307  0.302  1.793649e+06   1556\n",
       "  2022-04-11  1649635200  0.310  0.310  0.243  0.259  0.269  1.789046e+06    782\n",
       "  2022-04-12  1649721600  0.261  0.284  0.249  0.265  0.271  7.324565e+05    615\n",
       "  2022-04-13  1649808000  0.265  0.280  0.245  0.264  0.264  9.410868e+05    533\n",
       "  2022-04-14  1649894400  0.264  0.271  0.264  0.268  0.265  6.033580e+03     18,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2022-03-14  1647216000  0.02403  0.02451  0.02340  0.02399  0.02365   \n",
       "  2022-03-15  1647302400  0.02357  0.02382  0.02299  0.02362  0.02331   \n",
       "  2022-03-16  1647388800  0.02298  0.02613  0.02286  0.02569  0.02456   \n",
       "  2022-03-17  1647475200  0.02563  0.02636  0.02514  0.02571  0.02582   \n",
       "  2022-03-18  1647561600  0.02514  0.02575  0.02417  0.02548  0.02494   \n",
       "  2022-03-19  1647648000  0.02569  0.02789  0.02555  0.02706  0.02714   \n",
       "  2022-03-20  1647734400  0.02742  0.02742  0.02499  0.02550  0.02602   \n",
       "  2022-03-21  1647820800  0.02550  0.02676  0.02500  0.02616  0.02613   \n",
       "  2022-03-22  1647907200  0.02623  0.02755  0.02593  0.02670  0.02721   \n",
       "  2022-03-23  1647993600  0.02723  0.02838  0.02629  0.02695  0.02752   \n",
       "  2022-03-24  1648080000  0.02702  0.02981  0.02668  0.02911  0.02858   \n",
       "  2022-03-25  1648166400  0.02957  0.02999  0.02736  0.02870  0.02886   \n",
       "  2022-03-26  1648252800  0.02861  0.02900  0.02789  0.02894  0.02874   \n",
       "  2022-03-27  1648339200  0.02894  0.03424  0.02849  0.03350  0.03042   \n",
       "  2022-03-28  1648425600  0.03349  0.03472  0.03294  0.03362  0.03387   \n",
       "  2022-03-29  1648512000  0.03361  0.03503  0.03210  0.03292  0.03361   \n",
       "  2022-03-30  1648598400  0.03300  0.03422  0.03192  0.03322  0.03329   \n",
       "  2022-03-31  1648684800  0.03356  0.03479  0.03116  0.03116  0.03340   \n",
       "  2022-04-01  1648771200  0.03188  0.03386  0.03067  0.03257  0.03274   \n",
       "  2022-04-02  1648857600  0.03353  0.03454  0.03163  0.03163  0.03365   \n",
       "  2022-04-03  1648944000  0.03212  0.03316  0.03138  0.03230  0.03254   \n",
       "  2022-04-04  1649030400  0.03229  0.03281  0.02964  0.03060  0.03095   \n",
       "  2022-04-05  1649116800  0.03060  0.03174  0.02993  0.03037  0.03112   \n",
       "  2022-04-06  1649203200  0.02994  0.02998  0.02716  0.02717  0.02919   \n",
       "  2022-04-07  1649289600  0.02782  0.03026  0.02708  0.02884  0.02843   \n",
       "  2022-04-08  1649376000  0.02894  0.02914  0.02679  0.02736  0.02785   \n",
       "  2022-04-09  1649462400  0.02680  0.02753  0.02633  0.02633  0.02704   \n",
       "  2022-04-10  1649548800  0.02695  0.02711  0.02608  0.02615  0.02654   \n",
       "  2022-04-11  1649635200  0.02613  0.02776  0.02461  0.02544  0.02623   \n",
       "  2022-04-12  1649721600  0.02546  0.02590  0.02453  0.02541  0.02531   \n",
       "  2022-04-13  1649808000  0.02542  0.02599  0.02487  0.02599  0.02516   \n",
       "  2022-04-14  1649894400  0.02544  0.02618  0.02544  0.02618  0.02595   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2022-03-14  8.928161e+05     70  \n",
       "  2022-03-15  2.318633e+05     31  \n",
       "  2022-03-16  4.021077e+05     99  \n",
       "  2022-03-17  5.340998e+05     91  \n",
       "  2022-03-18  2.073782e+05    102  \n",
       "  2022-03-19  5.222013e+05    157  \n",
       "  2022-03-20  2.561388e+05     83  \n",
       "  2022-03-21  3.935518e+05    119  \n",
       "  2022-03-22  9.808551e+05    128  \n",
       "  2022-03-23  4.894787e+05    179  \n",
       "  2022-03-24  1.194103e+06    230  \n",
       "  2022-03-25  8.450424e+05    255  \n",
       "  2022-03-26  3.519888e+06    246  \n",
       "  2022-03-27  1.388814e+06    269  \n",
       "  2022-03-28  8.183320e+05    284  \n",
       "  2022-03-29  7.546977e+05    202  \n",
       "  2022-03-30  5.003411e+05    181  \n",
       "  2022-03-31  1.169239e+06    218  \n",
       "  2022-04-01  7.462787e+05    146  \n",
       "  2022-04-02  5.396898e+05    159  \n",
       "  2022-04-03  2.651828e+05    101  \n",
       "  2022-04-04  8.658634e+05    183  \n",
       "  2022-04-05  8.918331e+05    148  \n",
       "  2022-04-06  7.437794e+05    120  \n",
       "  2022-04-07  7.704018e+05    176  \n",
       "  2022-04-08  5.203389e+05    117  \n",
       "  2022-04-09  8.581273e+04     84  \n",
       "  2022-04-10  1.074095e+05     80  \n",
       "  2022-04-11  5.260336e+06    902  \n",
       "  2022-04-12  3.141354e+05    110  \n",
       "  2022-04-13  6.809660e+05     79  \n",
       "  2022-04-14  6.310769e+04      5  ,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800   2.7538   2.9560   2.6905   2.8635   2.8223   \n",
       "  2020-04-26  1587859200   2.8900   2.8925   2.7700   2.7970   2.8301   \n",
       "  2020-04-27  1587945600   2.8104   2.8257   2.6573   2.7680   2.7502   \n",
       "  2020-04-28  1588032000   2.7402   2.8511   2.7195   2.8071   2.8086   \n",
       "  2020-04-29  1588118400   2.8028   2.9900   2.7967   2.9352   2.9078   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  27.2700  27.4156  26.3891  26.5171  26.9416   \n",
       "  2022-04-11  1649635200  26.4539  26.5830  23.3332  23.8459  25.0301   \n",
       "  2022-04-12  1649721600  23.8622  25.4416  23.6834  24.6157  24.5030   \n",
       "  2022-04-13  1649808000  24.6142  25.1900  24.1329  24.6745  24.7339   \n",
       "  2022-04-14  1649894400  24.6323  24.8317  24.6100  24.8317  24.7287   \n",
       "  \n",
       "                     volume  count  \n",
       "  dtime                             \n",
       "  2020-04-25   65925.179153    429  \n",
       "  2020-04-26   24636.692995    242  \n",
       "  2020-04-27   36239.196362    376  \n",
       "  2020-04-28   14862.096225    253  \n",
       "  2020-04-29   66030.215482    591  \n",
       "  ...                   ...    ...  \n",
       "  2022-04-10   64878.372536   3827  \n",
       "  2022-04-11  221578.315037   9210  \n",
       "  2022-04-12   93970.524936   6411  \n",
       "  2022-04-13  102291.788725   4548  \n",
       "  2022-04-14    3336.438642    185  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2022-03-14  1647216000  0.7027  0.7030  0.6935  0.6945  0.7012    1978.699107   \n",
       "  2022-03-15  1647302400  0.7024  0.7101  0.7024  0.7101  0.7067    2968.758540   \n",
       "  2022-03-16  1647388800  0.7302  0.7425  0.7025  0.7417  0.7218   27374.006163   \n",
       "  2022-03-17  1647475200  0.7416  0.7552  0.7351  0.7351  0.7466   25295.910528   \n",
       "  2022-03-18  1647561600  0.7309  0.7731  0.7252  0.7619  0.7556   20945.349239   \n",
       "  2022-03-19  1647648000  0.7706  1.2596  0.7694  1.1251  1.0795  417052.911087   \n",
       "  2022-03-20  1647734400  1.1364  1.1862  1.0073  1.0498  1.0729   73813.437711   \n",
       "  2022-03-21  1647820800  1.0548  1.1723  1.0090  1.0092  1.0408  284852.193230   \n",
       "  2022-03-22  1647907200  1.0225  1.0450  1.0067  1.0131  1.0160  110459.832705   \n",
       "  2022-03-23  1647993600  1.0000  1.0646  0.9729  1.0258  1.0184  213096.215628   \n",
       "  2022-03-24  1648080000  1.0363  1.0898  1.0020  1.0544  1.0454   91228.522637   \n",
       "  2022-03-25  1648166400  1.0493  1.0755  0.9870  1.0018  1.0047  145022.329252   \n",
       "  2022-03-26  1648252800  1.0054  1.0408  0.9910  1.0384  1.0162  121344.154288   \n",
       "  2022-03-27  1648339200  1.0450  1.0719  1.0111  1.0595  1.0406   27919.368425   \n",
       "  2022-03-28  1648425600  1.0471  1.1497  1.0076  1.0350  1.0831  208003.869202   \n",
       "  2022-03-29  1648512000  1.0504  1.2042  1.0504  1.1044  1.1410  174947.254576   \n",
       "  2022-03-30  1648598400  1.1010  1.2829  1.0782  1.2033  1.1945  414824.319280   \n",
       "  2022-03-31  1648684800  1.2156  1.3176  1.1039  1.1291  1.1718  582100.220053   \n",
       "  2022-04-01  1648771200  1.1497  1.2185  1.0747  1.1711  1.1468  310245.696137   \n",
       "  2022-04-02  1648857600  1.1779  1.2513  1.1597  1.1597  1.2066  284156.293543   \n",
       "  2022-04-03  1648944000  1.1588  1.5698  1.1347  1.4399  1.3613  288009.550195   \n",
       "  2022-04-04  1649030400  1.4100  1.8060  1.3584  1.7294  1.4976  569897.763687   \n",
       "  2022-04-05  1649116800  1.7168  1.8030  1.4711  1.5120  1.5968  230349.045932   \n",
       "  2022-04-06  1649203200  1.5264  1.5804  1.2809  1.2809  1.4189  119924.235752   \n",
       "  2022-04-07  1649289600  1.2877  1.3059  1.2404  1.2807  1.2680   66250.463456   \n",
       "  2022-04-08  1649376000  1.3318  1.3318  1.1412  1.1412  1.2378   46660.178923   \n",
       "  2022-04-09  1649462400  1.1579  1.2249  1.1507  1.2012  1.1730   21264.110532   \n",
       "  2022-04-10  1649548800  1.2022  1.2045  1.1366  1.1391  1.1731   17404.251830   \n",
       "  2022-04-11  1649635200  1.1223  1.1223  1.0000  1.0207  1.0608   58261.882684   \n",
       "  2022-04-12  1649721600  1.0264  1.0967  1.0021  1.0288  1.0295   36425.402591   \n",
       "  2022-04-13  1649808000  1.0405  1.1181  1.0397  1.1055  1.0724    8427.845815   \n",
       "  2022-04-14  1649894400  1.1373  1.1481  1.1307  1.1401  1.1386    2896.825232   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14      8  \n",
       "  2022-03-15     15  \n",
       "  2022-03-16     42  \n",
       "  2022-03-17     31  \n",
       "  2022-03-18     39  \n",
       "  2022-03-19    685  \n",
       "  2022-03-20    175  \n",
       "  2022-03-21    289  \n",
       "  2022-03-22    148  \n",
       "  2022-03-23    155  \n",
       "  2022-03-24    131  \n",
       "  2022-03-25     86  \n",
       "  2022-03-26     80  \n",
       "  2022-03-27     58  \n",
       "  2022-03-28    146  \n",
       "  2022-03-29    189  \n",
       "  2022-03-30    313  \n",
       "  2022-03-31    372  \n",
       "  2022-04-01    163  \n",
       "  2022-04-02    158  \n",
       "  2022-04-03    414  \n",
       "  2022-04-04    611  \n",
       "  2022-04-05    377  \n",
       "  2022-04-06    175  \n",
       "  2022-04-07    114  \n",
       "  2022-04-08     82  \n",
       "  2022-04-09     61  \n",
       "  2022-04-10     42  \n",
       "  2022-04-11     78  \n",
       "  2022-04-12     69  \n",
       "  2022-04-13     58  \n",
       "  2022-04-14      4  ,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-06-16  1592265600  0.69012  0.69054  0.68663  0.68663  0.69039   \n",
       "  2020-06-17  1592352000  0.68434  0.68978  0.68332  0.68800  0.68751   \n",
       "  2020-06-18  1592438400  0.68576  0.68576  0.68141  0.68141  0.68366   \n",
       "  2020-06-19  1592524800  0.68328  0.69117  0.67841  0.68309  0.68856   \n",
       "  2020-06-20  1592611200  0.68096  0.68750  0.67928  0.68429  0.68485   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.74361  0.74521  0.74319  0.74356  0.74388   \n",
       "  2022-04-11  1649635200  0.74354  0.74521  0.74031  0.74116  0.74273   \n",
       "  2022-04-12  1649721600  0.74116  0.74823  0.74000  0.74517  0.74423   \n",
       "  2022-04-13  1649808000  0.74527  0.74708  0.73931  0.74358  0.74291   \n",
       "  2022-04-14  1649894400  0.74358  0.74516  0.73582  0.74371  0.74000   \n",
       "  \n",
       "                     volume  count  \n",
       "  dtime                             \n",
       "  2020-06-16    1646.433013      5  \n",
       "  2020-06-17   20099.718231     71  \n",
       "  2020-06-18    5320.547061     29  \n",
       "  2020-06-19   95034.534115     92  \n",
       "  2020-06-20   31368.497755     60  \n",
       "  ...                   ...    ...  \n",
       "  2022-04-10   66370.003057    679  \n",
       "  2022-04-11  457832.333712   1272  \n",
       "  2022-04-12  336792.900625    846  \n",
       "  2022-04-13  449509.398032   1402  \n",
       "  2022-04-14   54289.225234    253  \n",
       "  \n",
       "  [668 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-12-21  1640044800  119.99  150.00  116.83  123.47  120.33   15172.997488   \n",
       "  2021-12-22  1640131200  123.42  130.00  115.90  116.97  123.41   42505.941986   \n",
       "  2021-12-23  1640217600  116.97  130.00  116.65  122.22  122.48   23564.187829   \n",
       "  2021-12-24  1640304000  122.22  126.70  113.52  114.83  120.79   28885.851998   \n",
       "  2021-12-25  1640390400  114.80  119.23  112.52  115.45  115.57   12978.634585   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800   84.59   85.61   80.80   81.00   83.80   33383.208574   \n",
       "  2022-04-11  1649635200   80.90   81.47   72.82   74.09   76.45  101143.233086   \n",
       "  2022-04-12  1649721600   74.35   79.46   73.96   76.26   76.41   58577.443507   \n",
       "  2022-04-13  1649808000   76.36   80.64   75.74   80.08   79.00   78946.584556   \n",
       "  2022-04-14  1649894400   80.03   80.98   79.82   80.94   80.46     850.364589   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-12-21   1490  \n",
       "  2021-12-22   4083  \n",
       "  2021-12-23   3742  \n",
       "  2021-12-24   3297  \n",
       "  2021-12-25   2070  \n",
       "  ...           ...  \n",
       "  2022-04-10   2371  \n",
       "  2022-04-11   6690  \n",
       "  2022-04-12   4707  \n",
       "  2022-04-13   4315  \n",
       "  2022-04-14    190  \n",
       "  \n",
       "  [115 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2021-07-13  1626134400  22.011  29.244  19.497  20.956  21.899  41539.578690   \n",
       "  2021-07-14  1626220800  20.728  24.288  19.535  23.141  22.810  49905.424882   \n",
       "  2021-07-15  1626307200  23.061  28.858  22.983  24.000  25.976  37539.459014   \n",
       "  2021-07-16  1626393600  23.544  27.161  20.535  20.738  22.377  59827.523677   \n",
       "  2021-07-17  1626480000  20.600  20.600  17.491  18.500  19.099  25116.063798   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  51.833  52.155  48.933  49.057  51.062  16807.026093   \n",
       "  2022-04-11  1649635200  48.917  49.020  44.176  45.193  46.465  10229.376400   \n",
       "  2022-04-12  1649721600  45.312  48.880  44.962  47.350  47.275   8298.469676   \n",
       "  2022-04-13  1649808000  47.386  48.871  46.695  48.422  48.033  10655.651663   \n",
       "  2022-04-14  1649894400  48.382  49.497  48.277  49.207  49.178    871.972503   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-07-13    586  \n",
       "  2021-07-14    809  \n",
       "  2021-07-15    743  \n",
       "  2021-07-16    836  \n",
       "  2021-07-17    332  \n",
       "  ...           ...  \n",
       "  2022-04-10    957  \n",
       "  2022-04-11   1074  \n",
       "  2022-04-12   1151  \n",
       "  2022-04-13    901  \n",
       "  2022-04-14     84  \n",
       "  \n",
       "  [276 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2021-08-03  1627948800  11.555  13.000  10.599  13.000  11.925   5666.303793   \n",
       "  2021-08-04  1628035200  13.000  13.773  11.100  13.319  12.549   3836.924893   \n",
       "  2021-08-05  1628121600  13.462  19.980  13.374  17.999  15.264  27701.772821   \n",
       "  2021-08-06  1628208000  17.209  22.657  15.274  21.299  16.862  14375.387813   \n",
       "  2021-08-07  1628294400  22.421  31.999  20.100  25.800  26.501  14668.540471   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800   9.476  11.182   9.308  10.101  10.029  16893.378067   \n",
       "  2022-04-11  1649635200  10.101  10.349   8.595   8.736   9.312   9325.123736   \n",
       "  2022-04-12  1649721600   8.706   9.375   8.662   9.079   8.985   7938.838531   \n",
       "  2022-04-13  1649808000   9.043   9.200   8.800   8.955   9.014   4661.477945   \n",
       "  2022-04-14  1649894400   8.936   9.104   8.936   9.104   9.014     72.053086   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-08-03    256  \n",
       "  2021-08-04    148  \n",
       "  2021-08-05    494  \n",
       "  2021-08-06    318  \n",
       "  2021-08-07    775  \n",
       "  ...           ...  \n",
       "  2022-04-10    581  \n",
       "  2022-04-11    248  \n",
       "  2022-04-12    205  \n",
       "  2022-04-13    138  \n",
       "  2022-04-14      6  \n",
       "  \n",
       "  [255 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2020-09-17  1600300800  22.00  34.73  21.57  27.53  23.80   1879.931388    236\n",
       "  2020-09-18  1600387200  24.00  27.09  20.48  20.51  22.31   2487.714002    368\n",
       "  2020-09-19  1600473600  20.54  26.99  18.21  18.80  19.31   1998.579116    432\n",
       "  2020-09-20  1600560000  18.58  20.53  17.05  17.40  18.53    433.885294    195\n",
       "  2020-09-21  1600646400  17.40  18.23  14.60  15.28  16.72   4552.741200    390\n",
       "  ...                ...    ...    ...    ...    ...    ...           ...    ...\n",
       "  2022-04-10  1649548800  18.35  18.35  16.90  16.91  17.66  15833.274840    584\n",
       "  2022-04-11  1649635200  16.98  17.48  14.79  15.12  15.99  15434.786691    654\n",
       "  2022-04-12  1649721600  15.10  15.84  14.46  15.08  15.31   3935.529884    383\n",
       "  2022-04-13  1649808000  15.08  15.92  14.74  15.80  15.33   2049.530605    210\n",
       "  2022-04-14  1649894400  15.72  16.01  15.59  16.01  15.65     82.369620     19\n",
       "  \n",
       "  [575 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open    high    low  close   vwap        volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-08-10  1628553600  8.264  10.017  7.810  8.600  8.698   6736.005290   \n",
       "  2021-08-11  1628640000  8.600   9.599  7.250  8.190  8.356  15178.034099   \n",
       "  2021-08-12  1628726400  8.350   8.350  7.524  7.814  7.811   5745.046014   \n",
       "  2021-08-13  1628812800  7.907   8.347  7.811  8.301  8.154   7407.226168   \n",
       "  2021-08-14  1628899200  8.280   8.446  8.000  8.180  8.230   4812.605276   \n",
       "  ...                ...    ...     ...    ...    ...    ...           ...   \n",
       "  2022-04-10  1649548800  4.148   4.169  3.952  3.981  4.135   6178.824154   \n",
       "  2022-04-11  1649635200  3.949   3.949  3.542  3.610  3.667  18948.662491   \n",
       "  2022-04-12  1649721600  3.660   3.900  3.635  3.754  3.814   9516.951826   \n",
       "  2022-04-13  1649808000  3.772   3.925  3.737  3.909  3.814   2098.295971   \n",
       "  2022-04-14  1649894400  3.909   3.909  3.909  3.909  0.000      0.000000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-08-10    179  \n",
       "  2021-08-11    231  \n",
       "  2021-08-12     84  \n",
       "  2021-08-13     91  \n",
       "  2021-08-14     53  \n",
       "  ...           ...  \n",
       "  2022-04-10     28  \n",
       "  2022-04-11     66  \n",
       "  2022-04-12     49  \n",
       "  2022-04-13     20  \n",
       "  2022-04-14      0  \n",
       "  \n",
       "  [248 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800  0.17450  0.18880  0.17450  0.18256  0.18447   \n",
       "  2020-04-26  1587859200  0.18225  0.18852  0.18164  0.18461  0.18509   \n",
       "  2020-04-27  1587945600  0.18476  0.18615  0.17602  0.18157  0.18061   \n",
       "  2020-04-28  1588032000  0.18003  0.18445  0.17626  0.18365  0.18065   \n",
       "  2020-04-29  1588118400  0.18450  0.19709  0.18321  0.19299  0.19226   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.77090  0.77667  0.74072  0.74072  0.76434   \n",
       "  2022-04-11  1649635200  0.74037  0.74574  0.66735  0.68502  0.70386   \n",
       "  2022-04-12  1649721600  0.68288  0.72842  0.68151  0.72214  0.71589   \n",
       "  2022-04-13  1649808000  0.72000  0.74268  0.70711  0.74264  0.72534   \n",
       "  2022-04-14  1649894400  0.74372  0.75681  0.74158  0.75407  0.75153   \n",
       "  \n",
       "                     volume  count  \n",
       "  dtime                             \n",
       "  2020-04-25  284388.959518    246  \n",
       "  2020-04-26  228257.871698    212  \n",
       "  2020-04-27  210251.997296    207  \n",
       "  2020-04-28  377067.331521    235  \n",
       "  2020-04-29  729138.543443    546  \n",
       "  ...                   ...    ...  \n",
       "  2022-04-10   69221.908751    205  \n",
       "  2022-04-11  153203.813518    595  \n",
       "  2022-04-12  218635.522589    430  \n",
       "  2022-04-13   71544.420936    232  \n",
       "  2022-04-14   25165.516013     70  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-04-25  1587772800  237.90  245.50  234.50  238.50  238.92   5420.107964   \n",
       "  2020-04-26  1587859200  238.50  249.10  237.90  246.40  243.07   6559.851387   \n",
       "  2020-04-27  1587945600  246.50  248.00  234.40  243.00  240.83   6067.773013   \n",
       "  2020-04-28  1588032000  243.20  243.30  237.60  242.00  240.30   3673.855217   \n",
       "  2020-04-29  1588118400  242.10  263.20  241.50  257.90  253.45  12135.644679   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  326.04  332.17  318.60  318.60  327.15   1429.762840   \n",
       "  2022-04-11  1649635200  319.81  320.55  291.05  294.79  302.96   2972.569952   \n",
       "  2022-04-12  1649721600  295.69  307.25  293.68  304.68  302.53   1333.811330   \n",
       "  2022-04-13  1649808000  305.12  349.00  301.65  341.28  335.57   6979.093653   \n",
       "  2022-04-14  1649894400  341.41  345.32  340.82  345.32  342.13    124.808217   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25   2512  \n",
       "  2020-04-26   2414  \n",
       "  2020-04-27   2449  \n",
       "  2020-04-28   1351  \n",
       "  2020-04-29   4426  \n",
       "  ...           ...  \n",
       "  2022-04-10    818  \n",
       "  2022-04-11   1403  \n",
       "  2022-04-12    744  \n",
       "  2022-04-13   2393  \n",
       "  2022-04-14    168  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2022-03-14  1647216000  1.161  1.276  1.157  1.236  1.227   14496.183684   \n",
       "  2022-03-15  1647302400  1.238  1.242  1.179  1.209  1.224    6184.617282   \n",
       "  2022-03-16  1647388800  1.209  1.353  1.194  1.321  1.267   15366.349362   \n",
       "  2022-03-17  1647475200  1.321  1.396  1.271  1.283  1.306   53527.507167   \n",
       "  2022-03-18  1647561600  1.241  1.386  1.232  1.366  1.284   79789.633844   \n",
       "  2022-03-19  1647648000  1.359  1.630  1.322  1.580  1.510   92514.769879   \n",
       "  2022-03-20  1647734400  1.560  1.560  1.401  1.470  1.476    9860.091009   \n",
       "  2022-03-21  1647820800  1.481  1.752  1.477  1.618  1.627   71291.878247   \n",
       "  2022-03-22  1647907200  1.641  1.731  1.558  1.584  1.623   59016.968829   \n",
       "  2022-03-23  1647993600  1.574  1.574  1.494  1.526  1.527   54008.086646   \n",
       "  2022-03-24  1648080000  1.543  1.970  1.520  1.583  1.563   94070.087012   \n",
       "  2022-03-25  1648166400  1.572  1.607  1.475  1.496  1.503   86908.965333   \n",
       "  2022-03-26  1648252800  1.493  1.537  1.478  1.516  1.498   10556.078263   \n",
       "  2022-03-27  1648339200  1.511  1.624  1.511  1.595  1.569   12181.027585   \n",
       "  2022-03-28  1648425600  1.585  1.714  1.579  1.599  1.668   48726.678606   \n",
       "  2022-03-29  1648512000  1.612  1.749  1.600  1.696  1.657   27216.080272   \n",
       "  2022-03-30  1648598400  1.681  1.790  1.594  1.748  1.709   87284.488391   \n",
       "  2022-03-31  1648684800  1.751  1.838  1.556  1.592  1.706   67135.600866   \n",
       "  2022-04-01  1648771200  1.592  1.707  1.517  1.687  1.609   35286.437444   \n",
       "  2022-04-02  1648857600  1.715  2.348  1.708  2.019  1.898  206148.010789   \n",
       "  2022-04-03  1648944000  2.069  2.167  1.849  1.883  1.984   74964.686602   \n",
       "  2022-04-04  1649030400  1.897  1.919  1.762  1.874  1.820   42368.636044   \n",
       "  2022-04-05  1649116800  1.857  2.045  1.804  1.804  1.937   24807.242342   \n",
       "  2022-04-06  1649203200  1.807  1.821  1.540  1.576  1.696   26630.544646   \n",
       "  2022-04-07  1649289600  1.564  1.653  1.533  1.630  1.595   29067.799285   \n",
       "  2022-04-08  1649376000  1.638  1.671  1.510  1.515  1.558   28759.539108   \n",
       "  2022-04-09  1649462400  1.546  1.592  1.523  1.574  1.555    1476.272216   \n",
       "  2022-04-10  1649548800  1.564  1.590  1.500  1.500  1.557    3052.667320   \n",
       "  2022-04-11  1649635200  1.488  1.488  1.238  1.319  1.378   21282.477628   \n",
       "  2022-04-12  1649721600  1.336  1.403  1.326  1.365  1.374    4877.282596   \n",
       "  2022-04-13  1649808000  1.388  1.414  1.357  1.385  1.398   15107.552860   \n",
       "  2022-04-14  1649894400  1.406  1.433  1.406  1.433  1.428     207.486337   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14     90  \n",
       "  2022-03-15     46  \n",
       "  2022-03-16     96  \n",
       "  2022-03-17    130  \n",
       "  2022-03-18    225  \n",
       "  2022-03-19    749  \n",
       "  2022-03-20     98  \n",
       "  2022-03-21    418  \n",
       "  2022-03-22    284  \n",
       "  2022-03-23    189  \n",
       "  2022-03-24    517  \n",
       "  2022-03-25    221  \n",
       "  2022-03-26     57  \n",
       "  2022-03-27    154  \n",
       "  2022-03-28    437  \n",
       "  2022-03-29    266  \n",
       "  2022-03-30    376  \n",
       "  2022-03-31    351  \n",
       "  2022-04-01    223  \n",
       "  2022-04-02    953  \n",
       "  2022-04-03    590  \n",
       "  2022-04-04    305  \n",
       "  2022-04-05    391  \n",
       "  2022-04-06    160  \n",
       "  2022-04-07     81  \n",
       "  2022-04-08    125  \n",
       "  2022-04-09     40  \n",
       "  2022-04-10     59  \n",
       "  2022-04-11     98  \n",
       "  2022-04-12     42  \n",
       "  2022-04-13     45  \n",
       "  2022-04-14      6  ,\n",
       "  1649808000),\n",
       " (                  time  open  high   low  close  vwap         volume  count\n",
       "  dtime                                                                      \n",
       "  2021-10-26  1635206400  5.00  5.00  3.51   3.98  4.07  101123.888032    782\n",
       "  2021-10-27  1635292800  3.98  4.25  3.27   3.59  3.69   93825.674802   1454\n",
       "  2021-10-28  1635379200  3.59  3.85  3.31   3.39  3.57   54515.060911    938\n",
       "  2021-10-29  1635465600  3.41  3.67  3.20   3.57  3.44   65139.571203    836\n",
       "  2021-10-30  1635552000  3.54  3.84  3.27   3.70  3.63   32972.695884    555\n",
       "  ...                ...   ...   ...   ...    ...   ...            ...    ...\n",
       "  2022-04-10  1649548800  0.94  1.08  0.92   1.00  1.02   50347.532200    315\n",
       "  2022-04-11  1649635200  0.99  1.00  0.83   0.87  0.89   35632.080764    391\n",
       "  2022-04-12  1649721600  0.86  0.89  0.72   0.80  0.82   50143.930524    339\n",
       "  2022-04-13  1649808000  0.82  0.94  0.79   0.89  0.84   13069.205130    285\n",
       "  2022-04-14  1649894400  0.88  0.89  0.85   0.85  0.86     780.320984     16\n",
       "  \n",
       "  [171 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open    high    low  close   vwap       volume  count\n",
       "  dtime                                                                         \n",
       "  2021-05-24  1621814400  4.440  10.211  4.384  4.710  4.686  1382.663260     45\n",
       "  2021-05-25  1621900800  4.904   4.904  4.453  4.628  4.576  7120.311311     45\n",
       "  2021-05-26  1621987200  4.688   5.207  4.688  5.207  4.997  1754.816106     48\n",
       "  2021-05-27  1622073600  5.178   5.204  4.879  4.944  5.119  1548.610953     20\n",
       "  2021-05-28  1622160000  4.546   4.591  4.349  4.349  4.561  6291.943022     35\n",
       "  ...                ...    ...     ...    ...    ...    ...          ...    ...\n",
       "  2022-04-10  1649548800  2.552   2.584  2.493  2.493  2.546  3367.679976     33\n",
       "  2022-04-11  1649635200  2.493   2.495  2.222  2.246  2.361  3526.979680     53\n",
       "  2022-04-12  1649721600  2.249   2.320  2.238  2.273  2.247  2357.282973     67\n",
       "  2022-04-13  1649808000  2.265   2.322  2.246  2.315  2.309  1927.247818     23\n",
       "  2022-04-14  1649894400  2.322   2.339  2.322  2.339  2.325    73.593334      4\n",
       "  \n",
       "  [326 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high    low  close    vwap        volume  \\\n",
       "  dtime                                                                        \n",
       "  2022-04-01  1648771200   9.500  13.019  8.853  9.226   9.768    914.899428   \n",
       "  2022-04-02  1648857600   9.226  11.809  9.226  9.270   9.965    142.752000   \n",
       "  2022-04-03  1648944000   9.270  10.245  9.251  9.481   9.349    482.674164   \n",
       "  2022-04-04  1649030400   9.556   9.565  8.800  9.446   9.099    897.437477   \n",
       "  2022-04-05  1649116800   8.967  10.677  8.955  9.833  10.165   2640.724491   \n",
       "  2022-04-06  1649203200  10.053  14.900  8.878  9.030  10.268  13361.905072   \n",
       "  2022-04-07  1649289600   9.015   9.547  8.836  9.147   9.136   1447.078214   \n",
       "  2022-04-08  1649376000   9.101   9.317  8.702  8.741   8.971    685.153970   \n",
       "  2022-04-09  1649462400   8.698   9.314  8.698  8.995   8.871    814.414964   \n",
       "  2022-04-10  1649548800   8.922   9.222  8.659  8.877   8.883    375.147877   \n",
       "  2022-04-11  1649635200   8.833   8.949  7.949  7.949   8.503   1103.579420   \n",
       "  2022-04-12  1649721600   8.004   8.181  7.768  7.862   7.936    385.080908   \n",
       "  2022-04-13  1649808000   7.961   8.141  7.685  7.729   7.809    402.894211   \n",
       "  2022-04-14  1649894400   7.916   7.916  7.916  7.916   7.916      5.769960   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-04-01     32  \n",
       "  2022-04-02     18  \n",
       "  2022-04-03     24  \n",
       "  2022-04-04     43  \n",
       "  2022-04-05     79  \n",
       "  2022-04-06    565  \n",
       "  2022-04-07    137  \n",
       "  2022-04-08     69  \n",
       "  2022-04-09     99  \n",
       "  2022-04-10     84  \n",
       "  2022-04-11    118  \n",
       "  2022-04-12     28  \n",
       "  2022-04-13     19  \n",
       "  2022-04-14      1  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2021-07-13  1626134400  0.2450  0.2488  0.2399  0.2410  0.2438  8.781617e+04   \n",
       "  2021-07-14  1626220800  0.2402  0.2525  0.2270  0.2463  0.2385  1.393414e+05   \n",
       "  2021-07-15  1626307200  0.2502  0.2792  0.2502  0.2635  0.2636  1.124234e+06   \n",
       "  2021-07-16  1626393600  0.2592  0.2653  0.2388  0.2388  0.2533  8.022885e+05   \n",
       "  2021-07-17  1626480000  0.2332  0.2406  0.2322  0.2382  0.2362  1.947973e+05   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  0.2450  0.2463  0.2348  0.2349  0.2407  5.640008e+05   \n",
       "  2022-04-11  1649635200  0.2350  0.2490  0.2154  0.2170  0.2305  1.007963e+06   \n",
       "  2022-04-12  1649721600  0.2182  0.2319  0.2154  0.2280  0.2229  1.144846e+06   \n",
       "  2022-04-13  1649808000  0.2272  0.2547  0.2224  0.2425  0.2392  1.829291e+06   \n",
       "  2022-04-14  1649894400  0.2419  0.2454  0.2403  0.2449  0.2431  5.449377e+03   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-07-13     38  \n",
       "  2021-07-14     47  \n",
       "  2021-07-15    348  \n",
       "  2021-07-16    166  \n",
       "  2021-07-17     33  \n",
       "  ...           ...  \n",
       "  2022-04-10    435  \n",
       "  2022-04-11    980  \n",
       "  2022-04-12    750  \n",
       "  2022-04-13   1300  \n",
       "  2022-04-14     34  \n",
       "  \n",
       "  [276 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-07-15  1594771200  198.00  198.00  160.00  161.15  163.96    120.980168   \n",
       "  2020-07-16  1594857600  161.20  174.50  152.00  154.95  156.84    613.668247   \n",
       "  2020-07-17  1594944000  155.09  177.98  154.34  168.52  167.47   1273.293206   \n",
       "  2020-07-18  1595030400  166.70  167.03  161.55  163.42  164.19    478.342743   \n",
       "  2020-07-19  1595116800  164.88  164.89  160.32  163.10  162.43    245.638306   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  137.38  140.38  133.68  133.77  137.38    596.818874   \n",
       "  2022-04-11  1649635200  133.84  134.26  115.76  117.35  125.28   3851.868028   \n",
       "  2022-04-12  1649721600  117.55  133.35  117.19  128.82  128.09   6576.896027   \n",
       "  2022-04-13  1649808000  129.01  152.99  127.77  149.40  142.07  10455.711785   \n",
       "  2022-04-14  1649894400  149.45  150.45  147.83  149.90  149.33    395.832016   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-07-15    172  \n",
       "  2020-07-16    555  \n",
       "  2020-07-17   1121  \n",
       "  2020-07-18    397  \n",
       "  2020-07-19    153  \n",
       "  ...           ...  \n",
       "  2022-04-10    499  \n",
       "  2022-04-11   1336  \n",
       "  2022-04-12   2624  \n",
       "  2022-04-13   4079  \n",
       "  2022-04-14    305  \n",
       "  \n",
       "  [639 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-07-06  1625529600  0.469  0.500  0.400  0.458  0.442  709865.006621   \n",
       "  2021-07-07  1625616000  0.460  0.460  0.410  0.424  0.430  321265.329347   \n",
       "  2021-07-08  1625702400  0.421  0.479  0.377  0.464  0.424  341366.841719   \n",
       "  2021-07-09  1625788800  0.466  0.466  0.416  0.436  0.435  265078.078073   \n",
       "  2021-07-10  1625875200  0.436  0.446  0.421  0.433  0.434  126381.054607   \n",
       "  ...                ...    ...    ...    ...    ...    ...            ...   \n",
       "  2022-04-10  1649548800  0.340  0.346  0.331  0.343  0.337   42300.869716   \n",
       "  2022-04-11  1649635200  0.336  0.338  0.301  0.302  0.322  314753.941183   \n",
       "  2022-04-12  1649721600  0.305  0.320  0.303  0.308  0.308   75687.090963   \n",
       "  2022-04-13  1649808000  0.308  0.326  0.300  0.309  0.313   87991.408380   \n",
       "  2022-04-14  1649894400  0.312  0.312  0.312  0.312  0.312       7.126856   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-07-06    538  \n",
       "  2021-07-07    542  \n",
       "  2021-07-08    540  \n",
       "  2021-07-09    426  \n",
       "  2021-07-10    167  \n",
       "  ...           ...  \n",
       "  2022-04-10    157  \n",
       "  2022-04-11   1562  \n",
       "  2022-04-12    107  \n",
       "  2022-04-13    100  \n",
       "  2022-04-14      1  \n",
       "  \n",
       "  [283 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2020-09-17  1600300800  1.530  1.603  1.280  1.400  1.376  159830.075117   \n",
       "  2020-09-18  1600387200  1.334  1.597  1.229  1.290  1.330  137590.876634   \n",
       "  2020-09-19  1600473600  1.293  1.915  1.238  1.498  1.464  160306.888956   \n",
       "  2020-09-20  1600560000  1.498  1.800  1.276  1.372  1.419  227104.932145   \n",
       "  2020-09-21  1600646400  1.364  1.476  1.070  1.094  1.206  239459.725012   \n",
       "  ...                ...    ...    ...    ...    ...    ...            ...   \n",
       "  2022-04-10  1649548800  2.478  2.520  2.394  2.394  2.456  117511.964731   \n",
       "  2022-04-11  1649635200  2.399  2.443  2.141  2.165  2.248  132049.784335   \n",
       "  2022-04-12  1649721600  2.165  2.282  2.159  2.218  2.205   56898.911525   \n",
       "  2022-04-13  1649808000  2.231  2.392  2.181  2.296  2.278  123460.541716   \n",
       "  2022-04-14  1649894400  2.294  2.316  2.294  2.316  2.309   12880.851903   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-09-17    872  \n",
       "  2020-09-18    883  \n",
       "  2020-09-19   1257  \n",
       "  2020-09-20   1305  \n",
       "  2020-09-21   1194  \n",
       "  ...           ...  \n",
       "  2022-04-10    769  \n",
       "  2022-04-11   1018  \n",
       "  2022-04-12    629  \n",
       "  2022-04-13    642  \n",
       "  2022-04-14     31  \n",
       "  \n",
       "  [575 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-08-03  1627948800  0.4800  0.4800  0.4273  0.4337  0.4514   27882.133266   \n",
       "  2021-08-04  1628035200  0.4270  0.4611  0.4206  0.4407  0.4366   61813.797280   \n",
       "  2021-08-05  1628121600  0.4463  0.4999  0.4281  0.4703  0.4520   31923.724537   \n",
       "  2021-08-06  1628208000  0.4393  0.4739  0.4342  0.4633  0.4580   36234.616010   \n",
       "  2021-08-07  1628294400  0.4533  0.4870  0.4501  0.4737  0.4721  119968.688430   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  0.3869  0.3869  0.3696  0.3696  0.3815   23735.054606   \n",
       "  2022-04-11  1649635200  0.3646  0.3784  0.3300  0.3370  0.3509   51120.729655   \n",
       "  2022-04-12  1649721600  0.3400  0.3667  0.3383  0.3583  0.3524   86611.836620   \n",
       "  2022-04-13  1649808000  0.3623  0.3677  0.3522  0.3677  0.3638   12524.780252   \n",
       "  2022-04-14  1649894400  0.3707  0.3707  0.3707  0.3707  0.3707      13.377821   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-08-03     32  \n",
       "  2021-08-04     77  \n",
       "  2021-08-05     46  \n",
       "  2021-08-06     41  \n",
       "  2021-08-07     53  \n",
       "  ...           ...  \n",
       "  2022-04-10     19  \n",
       "  2022-04-11     60  \n",
       "  2022-04-12     46  \n",
       "  2022-04-13     13  \n",
       "  2022-04-14      1  \n",
       "  \n",
       "  [255 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2022-03-29  1648512000  42.00  42.00  29.71  31.86  34.01    142.450477     37\n",
       "  2022-03-30  1648598400  32.18  41.19  28.89  32.48  32.41    506.480686    137\n",
       "  2022-03-31  1648684800  36.98  36.98  28.55  31.94  30.69   1433.222226    159\n",
       "  2022-04-01  1648771200  29.17  32.54  28.52  32.54  30.88   3276.852157     79\n",
       "  2022-04-02  1648857600  31.46  35.33  29.44  33.49  33.17   3790.108433    196\n",
       "  2022-04-03  1648944000  33.66  38.65  32.68  38.49  36.10   2421.703856    180\n",
       "  2022-04-04  1649030400  38.43  39.57  35.22  37.24  37.02   1479.626261    148\n",
       "  2022-04-05  1649116800  37.05  39.47  35.61  36.46  36.82   1141.412272     83\n",
       "  2022-04-06  1649203200  35.50  36.97  33.72  34.74  35.45   1433.553958     72\n",
       "  2022-04-07  1649289600  34.02  34.40  33.44  34.01  33.83    659.182276     38\n",
       "  2022-04-08  1649376000  34.19  36.13  34.19  34.33  35.38    909.657408     51\n",
       "  2022-04-09  1649462400  34.95  35.00  33.82  34.77  34.65    985.892734     29\n",
       "  2022-04-10  1649548800  34.95  36.09  34.05  34.50  34.65    522.742596    152\n",
       "  2022-04-11  1649635200  33.94  34.39  29.16  29.93  32.11    839.124998    124\n",
       "  2022-04-12  1649721600  29.43  30.69  28.18  28.72  29.60    630.701165     83\n",
       "  2022-04-13  1649808000  28.49  29.94  28.49  29.52  29.22  12165.094069     95\n",
       "  2022-04-14  1649894400  30.37  30.37  30.37  30.37  30.37      0.250000      1,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800  1.01100  1.01393  1.01042  1.01247  1.01248   \n",
       "  2020-04-26  1587859200  1.01040  1.01681  1.00770  1.00824  1.01067   \n",
       "  2020-04-27  1587945600  1.00830  1.01388  1.00737  1.01277  1.01120   \n",
       "  2020-04-28  1588032000  1.01095  1.01450  1.00917  1.01342  1.01268   \n",
       "  2020-04-29  1588118400  1.01342  1.01507  1.00737  1.01346  1.01198   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.99995  1.00001  0.99978  0.99993  0.99992   \n",
       "  2022-04-11  1649635200  0.99992  1.00001  0.99880  0.99985  0.99985   \n",
       "  2022-04-12  1649721600  0.99985  1.00010  0.99849  0.99993  0.99990   \n",
       "  2022-04-13  1649808000  0.99992  1.00009  0.99925  0.99990  0.99988   \n",
       "  2022-04-14  1649894400  0.99987  0.99991  0.99983  0.99989  0.99988   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  3.302443e+04    168  \n",
       "  2020-04-26  1.881225e+05    325  \n",
       "  2020-04-27  7.915521e+04    220  \n",
       "  2020-04-28  1.308688e+05    338  \n",
       "  2020-04-29  2.029197e+05    870  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  1.389070e+06   6383  \n",
       "  2022-04-11  1.569014e+06   6327  \n",
       "  2022-04-12  2.815933e+06  12331  \n",
       "  2022-04-13  2.367124e+06  12544  \n",
       "  2022-04-14  1.210610e+05    920  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800   81.364   88.021   80.680   85.715   84.469   \n",
       "  2020-04-26  1587859200   86.218   87.391   82.774   84.128   84.920   \n",
       "  2020-04-27  1587945600   84.122   84.501   80.313   82.800   82.235   \n",
       "  2020-04-28  1588032000   82.373   82.950   80.000   82.446   81.732   \n",
       "  2020-04-29  1588118400   82.203   86.327   82.071   84.975   84.083   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  114.851  115.631  110.559  111.112  112.818   \n",
       "  2022-04-11  1649635200  110.994  112.098   99.005  100.656  103.487   \n",
       "  2022-04-12  1649721600  100.791  105.149   99.544  102.576  101.755   \n",
       "  2022-04-13  1649808000  102.124  106.998  101.233  105.565  104.414   \n",
       "  2022-04-14  1649894400  105.024  106.342  105.024  106.342  105.686   \n",
       "  \n",
       "                   volume  count  \n",
       "  dtime                           \n",
       "  2020-04-25  1554.612588    676  \n",
       "  2020-04-26  2341.485793    471  \n",
       "  2020-04-27  2192.509893    556  \n",
       "  2020-04-28  2199.540712    495  \n",
       "  2020-04-29  3956.356113    937  \n",
       "  ...                 ...    ...  \n",
       "  2022-04-10   767.004648    579  \n",
       "  2022-04-11  2622.066148   1333  \n",
       "  2022-04-12  4417.108738   1061  \n",
       "  2022-04-13  1428.960266    853  \n",
       "  2022-04-14    13.177990     22  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-08-18  1597708800  50.0000  50.7000   2.9000   3.1099   3.4332   \n",
       "  2020-08-19  1597795200   3.1099   3.1600   2.7100   2.9175   2.9720   \n",
       "  2020-08-20  1597881600   2.9175   2.9600   2.7300   2.9090   2.8356   \n",
       "  2020-08-21  1597968000   2.9380   3.7000   2.8000   3.0776   3.0377   \n",
       "  2020-08-22  1598054400   3.0776   4.4866   2.8500   4.4515   3.9072   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  19.7694  20.2309  19.1862  19.2128  19.8226   \n",
       "  2022-04-11  1649635200  19.2128  19.2747  17.0055  17.1946  18.1038   \n",
       "  2022-04-12  1649721600  17.2182  18.0174  17.1756  17.7620  17.5676   \n",
       "  2022-04-13  1649808000  17.7690  18.2803  17.3814  18.1780  17.9034   \n",
       "  2022-04-14  1649894400  18.1941  18.4167  18.1318  18.3977  18.3025   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-08-18  3.415657e+06   8207  \n",
       "  2020-08-19  1.378930e+06   7205  \n",
       "  2020-08-20  8.888622e+05   3583  \n",
       "  2020-08-21  1.066974e+06   5758  \n",
       "  2020-08-22  4.022332e+06  16887  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  3.386049e+05   4752  \n",
       "  2022-04-11  7.288167e+05   9982  \n",
       "  2022-04-12  3.425843e+05   6263  \n",
       "  2022-04-13  2.188928e+05   4654  \n",
       "  2022-04-14  3.842754e+03    246  \n",
       "  \n",
       "  [605 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-09-14  1631577600  18.880  18.880  11.000  11.684  11.700   94629.720333   \n",
       "  2021-09-15  1631664000  11.704  12.499  11.079  11.502  11.842  134477.970797   \n",
       "  2021-09-16  1631750400  11.686  16.950  11.686  15.409  14.787  230136.200672   \n",
       "  2021-09-17  1631836800  15.444  18.235  14.954  16.468  16.755  175105.001179   \n",
       "  2021-09-18  1631923200  16.458  17.908  15.711  16.095  16.836   61087.101226   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800   5.235   5.290   4.996   4.996   5.178    2026.731967   \n",
       "  2022-04-11  1649635200   4.989   5.065   4.487   4.580   4.746   28974.378806   \n",
       "  2022-04-12  1649721600   4.580   4.875   4.545   4.726   4.725    6102.522658   \n",
       "  2022-04-13  1649808000   4.728   4.886   4.649   4.830   4.814    6518.161599   \n",
       "  2022-04-14  1649894400   4.827   4.915   4.827   4.915   4.852    1671.361523   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-09-14   1262  \n",
       "  2021-09-15   1391  \n",
       "  2021-09-16   2845  \n",
       "  2021-09-17   2234  \n",
       "  2021-09-18   1009  \n",
       "  ...           ...  \n",
       "  2022-04-10     65  \n",
       "  2022-04-11    222  \n",
       "  2022-04-12    139  \n",
       "  2022-04-13     77  \n",
       "  2022-04-14     17  \n",
       "  \n",
       "  [213 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-05-20  1621468800  1.750  2.000  1.399  1.560  1.534   72138.993173   \n",
       "  2021-05-21  1621555200  1.560  1.750  1.055  1.258  1.476   83497.680948   \n",
       "  2021-05-22  1621641600  1.333  1.382  1.143  1.177  1.231   58100.848948   \n",
       "  2021-05-23  1621728000  1.357  1.357  0.750  1.133  1.104    7080.754926   \n",
       "  2021-05-24  1621814400  1.098  1.319  0.962  1.238  1.199   39924.831182   \n",
       "  ...                ...    ...    ...    ...    ...    ...            ...   \n",
       "  2022-04-10  1649548800  1.796  1.811  1.660  1.660  1.747  191344.387176   \n",
       "  2022-04-11  1649635200  1.665  1.667  1.468  1.500  1.545  500450.308238   \n",
       "  2022-04-12  1649721600  1.504  1.617  1.496  1.559  1.556  390663.278645   \n",
       "  2022-04-13  1649808000  1.558  1.609  1.528  1.590  1.565  297698.893125   \n",
       "  2022-04-14  1649894400  1.585  1.608  1.584  1.608  1.599    1309.796511   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-05-20    609  \n",
       "  2021-05-21    507  \n",
       "  2021-05-22    123  \n",
       "  2021-05-23     59  \n",
       "  2021-05-24    217  \n",
       "  ...           ...  \n",
       "  2022-04-10   1314  \n",
       "  2022-04-11   1670  \n",
       "  2022-04-12   1586  \n",
       "  2022-04-13    803  \n",
       "  2022-04-14     46  \n",
       "  \n",
       "  [330 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap       volume  count\n",
       "  dtime                                                                        \n",
       "  2022-03-14  1647216000  13.21  13.53  12.95  13.50  13.15  2298.773186     43\n",
       "  2022-03-15  1647302400  13.30  13.42  12.86  13.42  13.10    29.334521      7\n",
       "  2022-03-16  1647388800  13.50  14.51  13.28  14.34  13.79   357.769437     38\n",
       "  2022-03-17  1647475200  14.36  16.48  14.34  14.84  15.53  2444.008474    122\n",
       "  2022-03-18  1647561600  14.94  16.12  14.42  14.98  15.55  1921.935523     86\n",
       "  2022-03-19  1647648000  15.38  17.33  15.27  16.52  16.44  2049.900575     85\n",
       "  2022-03-20  1647734400  16.23  16.44  15.58  16.19  16.03   311.292204     51\n",
       "  2022-03-21  1647820800  15.97  16.84  15.68  15.76  16.19  1330.402680     96\n",
       "  2022-03-22  1647907200  15.78  18.35  15.71  17.50  17.29  2864.298099    178\n",
       "  2022-03-23  1647993600  17.28  19.09  17.16  18.10  18.33  3818.050802    173\n",
       "  2022-03-24  1648080000  18.23  18.46  17.28  18.23  17.98  1250.227669     84\n",
       "  2022-03-25  1648166400  18.04  18.66   7.72  17.44  17.15  1496.559941     72\n",
       "  2022-03-26  1648252800  17.76  17.76  17.12  17.32  17.33   437.484181     29\n",
       "  2022-03-27  1648339200  17.28  18.21  16.91  18.18  17.54  2149.786584     49\n",
       "  2022-03-28  1648425600  18.34  20.39  18.34  19.19  19.50  4197.322443    167\n",
       "  2022-03-29  1648512000  19.06  20.40  18.82  19.23  19.64  2100.902041     61\n",
       "  2022-03-30  1648598400  18.71  20.28  18.71  19.13  19.58  2239.878648     64\n",
       "  2022-03-31  1648684800  19.87  20.89  17.90  17.90  19.64  4952.410956    157\n",
       "  2022-04-01  1648771200  18.27  18.87  16.89  18.38  18.42  4465.054796     95\n",
       "  2022-04-02  1648857600  18.41  20.11  18.32  18.86  19.36  1732.967506     56\n",
       "  2022-04-03  1648944000  18.72  21.13  18.40  20.94  20.10  3221.114987    115\n",
       "  2022-04-04  1649030400  20.73  20.79  18.76  19.70  19.51  2667.045684     79\n",
       "  2022-04-05  1649116800  19.99  20.57  18.99  19.10  19.53  1664.591164     61\n",
       "  2022-04-06  1649203200  18.83  18.83  16.24  16.24  18.02  6315.668237    112\n",
       "  2022-04-07  1649289600  16.36  16.91  15.82  16.59  16.46   265.539761     36\n",
       "  2022-04-08  1649376000  16.62  16.81  15.05  15.05  16.28   713.983822     41\n",
       "  2022-04-09  1649462400  15.26  15.64  15.10  15.59  15.33   716.482854     36\n",
       "  2022-04-10  1649548800  15.75  16.13  15.20  15.31  15.59  1293.116952     35\n",
       "  2022-04-11  1649635200  15.15  15.40  13.60  13.80  14.55   922.310469     43\n",
       "  2022-04-12  1649721600  13.82  14.66  13.75  14.01  14.09  1331.449414     36\n",
       "  2022-04-13  1649808000  14.26  14.66  11.17  14.58  13.82  1321.514168     81\n",
       "  2022-04-14  1649894400  14.67  14.67  14.67  14.67  14.67     0.606904      1,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2020-04-25  1587772800  2.7019  2.8039  2.6678  2.6987  2.7118  150795.530025   \n",
       "  2020-04-26  1587859200  2.7043  2.7788  2.6821  2.7418  2.7258  116029.886961   \n",
       "  2020-04-27  1587945600  2.7456  2.8100  2.6835  2.7428  2.7496  179794.017369   \n",
       "  2020-04-28  1588032000  2.7448  2.7801  2.6904  2.7742  2.7299   85174.743207   \n",
       "  2020-04-29  1588118400  2.7691  3.0863  2.7669  3.0008  2.8978  393293.215461   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  2.4220  2.4820  2.3549  2.3633  2.4068  134469.924505   \n",
       "  2022-04-11  1649635200  2.3651  2.3795  2.1227  2.1628  2.2291  603162.939491   \n",
       "  2022-04-12  1649721600  2.1647  2.2518  2.1554  2.2420  2.2162  443952.467758   \n",
       "  2022-04-13  1649808000  2.2451  2.3598  2.2102  2.3592  2.2845  155813.699693   \n",
       "  2022-04-14  1649894400  2.3551  2.3569  2.3412  2.3499  2.3467    7658.885250   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25    445  \n",
       "  2020-04-26    288  \n",
       "  2020-04-27    444  \n",
       "  2020-04-28    257  \n",
       "  2020-04-29   1296  \n",
       "  ...           ...  \n",
       "  2022-04-10    965  \n",
       "  2022-04-11   1858  \n",
       "  2022-04-12   1975  \n",
       "  2022-04-13    679  \n",
       "  2022-04-14     47  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2021-03-03  1614729600  25.000  50.000  17.012  17.768  18.887  41919.942962   \n",
       "  2021-03-04  1614816000  17.640  19.000  15.502  16.266  16.782  49483.198212   \n",
       "  2021-03-05  1614902400  16.266  16.873  15.861  15.861  16.114  23447.761834   \n",
       "  2021-03-06  1614988800  15.936  17.995  14.338  15.530  15.236  15546.739941   \n",
       "  2021-03-07  1615075200  15.270  17.000  15.200  16.181  16.156  33288.976440   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800   5.399   5.400   5.086   5.086   5.284   3499.750686   \n",
       "  2022-04-11  1649635200   5.086   5.185   4.800   4.801   4.930  27658.973394   \n",
       "  2022-04-12  1649721600   4.810   5.161   4.770   5.074   5.033   4109.198963   \n",
       "  2022-04-13  1649808000   5.070   5.177   4.983   5.091   5.062   3924.217338   \n",
       "  2022-04-14  1649894400   5.091   5.118   5.062   5.070   5.096    936.826348   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-03-03   1582  \n",
       "  2021-03-04   1553  \n",
       "  2021-03-05    843  \n",
       "  2021-03-06    591  \n",
       "  2021-03-07   1194  \n",
       "  ...           ...  \n",
       "  2022-04-10    430  \n",
       "  2022-04-11    885  \n",
       "  2022-04-12    650  \n",
       "  2022-04-13    367  \n",
       "  2022-04-14     46  \n",
       "  \n",
       "  [408 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2022-03-14  1647216000  1.576  1.638  1.576  1.610  1.609   20862.820958   \n",
       "  2022-03-15  1647302400  1.591  1.708  1.563  1.596  1.619   39648.096182   \n",
       "  2022-03-16  1647388800  1.585  1.640  1.579  1.611  1.602   30533.223360   \n",
       "  2022-03-17  1647475200  1.614  1.734  1.614  1.654  1.655   28099.969959   \n",
       "  2022-03-18  1647561600  1.642  1.643  1.606  1.639  1.630    7455.409624   \n",
       "  2022-03-19  1647648000  1.644  1.824  1.644  1.718  1.723   56431.272651   \n",
       "  2022-03-20  1647734400  1.733  1.733  1.615  1.647  1.678   37281.642140   \n",
       "  2022-03-21  1647820800  1.639  1.738  1.639  1.687  1.687   17011.325078   \n",
       "  2022-03-22  1647907200  1.706  2.000  1.696  1.793  1.798   68532.012677   \n",
       "  2022-03-23  1647993600  1.776  1.850  1.737  1.801  1.778   23885.357002   \n",
       "  2022-03-24  1648080000  1.819  2.067  1.803  1.908  1.923  106832.230477   \n",
       "  2022-03-25  1648166400  1.902  1.917  1.818  1.843  1.881   26236.992024   \n",
       "  2022-03-26  1648252800  1.842  1.914  1.842  1.883  1.892   17745.917066   \n",
       "  2022-03-27  1648339200  1.901  2.019  1.892  1.995  1.953   29898.319422   \n",
       "  2022-03-28  1648425600  1.976  2.036  1.976  1.980  2.007   23816.687340   \n",
       "  2022-03-29  1648512000  1.967  2.029  1.916  1.941  1.953   34793.341388   \n",
       "  2022-03-30  1648598400  1.900  1.994  1.900  1.937  1.950   29112.064115   \n",
       "  2022-03-31  1648684800  1.932  1.990  1.836  1.839  1.908   64305.338720   \n",
       "  2022-04-01  1648771200  1.836  2.079  1.767  2.042  1.978  125329.127014   \n",
       "  2022-04-02  1648857600  2.032  2.061  1.969  2.000  2.019   57710.331466   \n",
       "  2022-04-03  1648944000  1.984  2.180  1.938  2.097  2.074  100483.553278   \n",
       "  2022-04-04  1649030400  2.101  2.129  1.911  1.981  2.032   76380.213991   \n",
       "  2022-04-05  1649116800  1.973  2.035  1.938  1.956  1.977   24916.307816   \n",
       "  2022-04-06  1649203200  1.942  1.942  1.684  1.696  1.779   60339.984557   \n",
       "  2022-04-07  1649289600  1.694  1.840  1.652  1.793  1.774   58755.758143   \n",
       "  2022-04-08  1649376000  1.804  1.822  1.647  1.647  1.726   47721.158784   \n",
       "  2022-04-09  1649462400  1.645  1.687  1.645  1.681  1.666   26551.670444   \n",
       "  2022-04-10  1649548800  1.687  1.700  1.643  1.647  1.671   21433.965464   \n",
       "  2022-04-11  1649635200  1.638  1.638  1.473  1.473  1.535   56646.400440   \n",
       "  2022-04-12  1649721600  1.476  1.536  1.435  1.461  1.485   37576.385523   \n",
       "  2022-04-13  1649808000  1.480  1.515  1.440  1.503  1.477   43390.827912   \n",
       "  2022-04-14  1649894400  1.504  1.504  1.504  1.504  1.504       1.563050   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14     37  \n",
       "  2022-03-15     64  \n",
       "  2022-03-16     59  \n",
       "  2022-03-17     74  \n",
       "  2022-03-18     25  \n",
       "  2022-03-19    149  \n",
       "  2022-03-20     75  \n",
       "  2022-03-21     47  \n",
       "  2022-03-22    199  \n",
       "  2022-03-23     56  \n",
       "  2022-03-24    202  \n",
       "  2022-03-25     73  \n",
       "  2022-03-26     41  \n",
       "  2022-03-27     82  \n",
       "  2022-03-28     59  \n",
       "  2022-03-29     83  \n",
       "  2022-03-30     53  \n",
       "  2022-03-31    168  \n",
       "  2022-04-01    273  \n",
       "  2022-04-02    131  \n",
       "  2022-04-03    215  \n",
       "  2022-04-04    164  \n",
       "  2022-04-05     54  \n",
       "  2022-04-06    133  \n",
       "  2022-04-07    180  \n",
       "  2022-04-08     93  \n",
       "  2022-04-09     57  \n",
       "  2022-04-10     45  \n",
       "  2022-04-11    123  \n",
       "  2022-04-12    111  \n",
       "  2022-04-13    118  \n",
       "  2022-04-14      1  ,\n",
       "  1649808000),\n",
       " (                  time     open     high     low   close    vwap  \\\n",
       "  dtime                                                              \n",
       "  2020-10-15  1602720000  111.000  150.000  53.190  62.500  66.820   \n",
       "  2020-10-16  1602806400   62.940   75.765  38.949  44.818  53.397   \n",
       "  2020-10-17  1602892800   44.320   50.293  40.446  42.326  44.112   \n",
       "  2020-10-18  1602979200   42.116   42.116  31.898  32.449  36.100   \n",
       "  2020-10-19  1603065600   32.378   56.880  30.000  33.817  32.749   \n",
       "  ...                ...      ...      ...     ...     ...     ...   \n",
       "  2022-04-10  1649548800   21.739   21.825  20.883  20.973  21.198   \n",
       "  2022-04-11  1649635200   21.022   21.477  18.017  18.330  19.617   \n",
       "  2022-04-12  1649721600   18.348   19.692  18.315  19.512  18.731   \n",
       "  2022-04-13  1649808000   19.475   19.551  18.778  19.416  19.207   \n",
       "  2022-04-14  1649894400   19.369   19.672  19.327  19.636  19.455   \n",
       "  \n",
       "                     volume  count  \n",
       "  dtime                             \n",
       "  2020-10-15   37420.820934   3952  \n",
       "  2020-10-16   55295.384409   3876  \n",
       "  2020-10-17   23049.285122   1501  \n",
       "  2020-10-18   28993.619706   1749  \n",
       "  2020-10-19  116525.954419   3538  \n",
       "  ...                   ...    ...  \n",
       "  2022-04-10   13325.202580    708  \n",
       "  2022-04-11  227174.471100   3372  \n",
       "  2022-04-12   61309.211460   1969  \n",
       "  2022-04-13   12527.607309   1033  \n",
       "  2022-04-14    1222.396655     94  \n",
       "  \n",
       "  [547 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open    high    low  close    vwap         volume  \\\n",
       "  dtime                                                                        \n",
       "  2021-01-27  1611705600  0.380  12.000  0.380  6.550   8.176  930668.340913   \n",
       "  2021-01-28  1611792000  6.550   7.940  6.011  7.000   6.908  396465.971983   \n",
       "  2021-01-29  1611878400  7.001   7.295  6.228  6.250   6.594  199996.263579   \n",
       "  2021-01-30  1611964800  6.243   9.361  6.210  9.023   7.943  294173.372502   \n",
       "  2021-01-31  1612051200  9.003  12.208  8.526  9.740  10.435  545408.912101   \n",
       "  ...                ...    ...     ...    ...    ...     ...            ...   \n",
       "  2022-04-10  1649548800  6.250   6.384  6.043  6.054   6.166   84505.785755   \n",
       "  2022-04-11  1649635200  6.059   6.247  5.327  5.398   5.673  182695.781268   \n",
       "  2022-04-12  1649721600  5.401   5.823  5.366  5.690   5.637  220997.023657   \n",
       "  2022-04-13  1649808000  5.693   5.974  5.575  5.909   5.800  133101.494550   \n",
       "  2022-04-14  1649894400  5.897   6.087  5.897  6.070   5.987   33040.402930   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-01-27   9465  \n",
       "  2021-01-28   4406  \n",
       "  2021-01-29   1410  \n",
       "  2021-01-30   3269  \n",
       "  2021-01-31   6342  \n",
       "  ...           ...  \n",
       "  2022-04-10   1829  \n",
       "  2022-04-11   3846  \n",
       "  2022-04-12   3267  \n",
       "  2022-04-13   2355  \n",
       "  2022-04-14    321  \n",
       "  \n",
       "  [443 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-30  1648598400  29.985  29.985  22.982  24.000  23.495    434.300117   \n",
       "  2022-03-31  1648684800  28.618  28.629  21.244  23.975  23.709  16034.076331   \n",
       "  2022-04-01  1648771200  23.394  26.549  21.500  26.531  22.760    547.340923   \n",
       "  2022-04-02  1648857600  26.534  53.499  25.506  37.466  35.994  14517.656493   \n",
       "  2022-04-03  1648944000  37.466  46.000  33.636  38.495  40.497  25992.679032   \n",
       "  2022-04-04  1649030400  38.350  39.971  32.161  34.830  35.914   5710.561739   \n",
       "  2022-04-05  1649116800  34.657  52.000  32.972  33.341  37.073  17243.578385   \n",
       "  2022-04-06  1649203200  32.972  35.644  30.234  30.695  31.896   7945.652677   \n",
       "  2022-04-07  1649289600  30.482  33.602  29.498  32.972  31.549   2569.238796   \n",
       "  2022-04-08  1649376000  33.077  36.790  30.023  30.317  33.263   3855.507329   \n",
       "  2022-04-09  1649462400  30.449  31.626  30.447  31.154  31.126    405.098177   \n",
       "  2022-04-10  1649548800  30.869  31.312  30.479  30.950  30.813   3732.899040   \n",
       "  2022-04-11  1649635200  30.631  30.631  25.000  26.016  26.624   3923.223348   \n",
       "  2022-04-12  1649721600  26.218  28.740  26.206  27.708  27.612   3948.624421   \n",
       "  2022-04-13  1649808000  27.570  35.644  27.205  33.024  30.049  15409.559377   \n",
       "  2022-04-14  1649894400  32.972  33.008  31.894  32.066  32.231    143.215210   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-30     54  \n",
       "  2022-03-31    121  \n",
       "  2022-04-01     67  \n",
       "  2022-04-02   2128  \n",
       "  2022-04-03   2491  \n",
       "  2022-04-04    712  \n",
       "  2022-04-05   1295  \n",
       "  2022-04-06    592  \n",
       "  2022-04-07    188  \n",
       "  2022-04-08    518  \n",
       "  2022-04-09     82  \n",
       "  2022-04-10    279  \n",
       "  2022-04-11    218  \n",
       "  2022-04-12    175  \n",
       "  2022-04-13    739  \n",
       "  2022-04-14     28  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-14  1647216000  0.2162  0.2240  0.2140  0.2186  0.2181  5.098317e+05   \n",
       "  2022-03-15  1647302400  0.2197  0.2231  0.2134  0.2151  0.2171  1.312329e+06   \n",
       "  2022-03-16  1647388800  0.2150  0.2396  0.2146  0.2394  0.2211  2.232507e+06   \n",
       "  2022-03-17  1647475200  0.2392  0.2410  0.2251  0.2275  0.2308  1.625479e+06   \n",
       "  2022-03-18  1647561600  0.2272  0.2327  0.2185  0.2302  0.2251  1.630989e+06   \n",
       "  2022-03-19  1647648000  0.2298  0.2580  0.2277  0.2493  0.2433  6.919862e+05   \n",
       "  2022-03-20  1647734400  0.2486  0.2567  0.2293  0.2332  0.2412  4.536942e+05   \n",
       "  2022-03-21  1647820800  0.2343  0.2387  0.2249  0.2358  0.2325  6.750953e+05   \n",
       "  2022-03-22  1647907200  0.2359  0.2548  0.2359  0.2408  0.2466  1.390452e+06   \n",
       "  2022-03-23  1647993600  0.2424  0.2516  0.2369  0.2496  0.2466  1.080655e+06   \n",
       "  2022-03-24  1648080000  0.2499  0.2610  0.2474  0.2515  0.2529  1.735685e+06   \n",
       "  2022-03-25  1648166400  0.2515  0.2659  0.2425  0.2452  0.2494  3.127763e+06   \n",
       "  2022-03-26  1648252800  0.2463  0.2534  0.2420  0.2520  0.2482  9.285016e+05   \n",
       "  2022-03-27  1648339200  0.2525  0.2640  0.2460  0.2635  0.2538  7.432316e+05   \n",
       "  2022-03-28  1648425600  0.2637  0.2906  0.2582  0.2631  0.2727  4.042440e+06   \n",
       "  2022-03-29  1648512000  0.2624  0.2818  0.2624  0.2711  0.2709  1.265146e+06   \n",
       "  2022-03-30  1648598400  0.2711  0.2841  0.2568  0.2718  0.2695  1.573156e+06   \n",
       "  2022-03-31  1648684800  0.2719  0.2871  0.2496  0.2541  0.2609  2.984978e+06   \n",
       "  2022-04-01  1648771200  0.2535  0.2675  0.2417  0.2615  0.2521  1.443113e+06   \n",
       "  2022-04-02  1648857600  0.2612  0.2777  0.2543  0.2545  0.2654  1.493815e+06   \n",
       "  2022-04-03  1648944000  0.2545  0.2687  0.2504  0.2659  0.2601  8.905467e+05   \n",
       "  2022-04-04  1649030400  0.2643  0.2652  0.2450  0.2571  0.2550  1.237683e+06   \n",
       "  2022-04-05  1649116800  0.2568  0.2633  0.2480  0.2486  0.2585  9.948205e+05   \n",
       "  2022-04-06  1649203200  0.2491  0.2491  0.2192  0.2214  0.2298  2.439343e+06   \n",
       "  2022-04-07  1649289600  0.2220  0.2312  0.2162  0.2295  0.2243  3.571040e+05   \n",
       "  2022-04-08  1649376000  0.2286  0.2313  0.2113  0.2136  0.2196  7.017858e+05   \n",
       "  2022-04-09  1649462400  0.2142  0.2262  0.2125  0.2258  0.2177  2.747892e+05   \n",
       "  2022-04-10  1649548800  0.2259  0.2263  0.2146  0.2146  0.2215  4.797409e+05   \n",
       "  2022-04-11  1649635200  0.2156  0.2178  0.1895  0.1924  0.2013  2.923362e+06   \n",
       "  2022-04-12  1649721600  0.1929  0.2067  0.1913  0.2014  0.2006  1.442835e+06   \n",
       "  2022-04-13  1649808000  0.2007  0.2079  0.1980  0.2075  0.2035  8.738024e+05   \n",
       "  2022-04-14  1649894400  0.2064  0.2102  0.2060  0.2099  0.2066  1.538104e+05   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14    308  \n",
       "  2022-03-15    267  \n",
       "  2022-03-16    638  \n",
       "  2022-03-17    523  \n",
       "  2022-03-18    488  \n",
       "  2022-03-19    620  \n",
       "  2022-03-20    469  \n",
       "  2022-03-21    413  \n",
       "  2022-03-22    324  \n",
       "  2022-03-23    270  \n",
       "  2022-03-24    419  \n",
       "  2022-03-25    507  \n",
       "  2022-03-26    285  \n",
       "  2022-03-27    324  \n",
       "  2022-03-28    969  \n",
       "  2022-03-29    454  \n",
       "  2022-03-30    501  \n",
       "  2022-03-31    638  \n",
       "  2022-04-01    391  \n",
       "  2022-04-02    502  \n",
       "  2022-04-03    287  \n",
       "  2022-04-04    423  \n",
       "  2022-04-05    336  \n",
       "  2022-04-06    644  \n",
       "  2022-04-07    255  \n",
       "  2022-04-08    315  \n",
       "  2022-04-09    193  \n",
       "  2022-04-10    235  \n",
       "  2022-04-11    713  \n",
       "  2022-04-12    347  \n",
       "  2022-04-13    303  \n",
       "  2022-04-14     40  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-05-17  1621209600  1.4481  1.5500  1.2000  1.3584  1.4485   54285.091490   \n",
       "  2021-05-18  1621296000  1.3602  1.4675  1.3232  1.4099  1.4057  153881.268022   \n",
       "  2021-05-19  1621382400  1.4099  1.4099  1.0186  1.1775  1.2809   61532.364990   \n",
       "  2021-05-20  1621468800  1.1892  1.3300  1.1791  1.2590  1.2537   97413.502046   \n",
       "  2021-05-21  1621555200  1.2590  1.3500  1.1167  1.1990  1.2457   28967.917560   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  2.0073  2.0073  1.9771  1.9812  1.9840    2440.609920   \n",
       "  2022-04-11  1649635200  1.9661  1.9801  1.9421  1.9421  1.9577    8516.221130   \n",
       "  2022-04-12  1649721600  1.9405  1.9649  1.9165  1.9504  1.9243    1778.415178   \n",
       "  2022-04-13  1649808000  1.9516  1.9623  1.9351  1.9442  1.9430     435.766039   \n",
       "  2022-04-14  1649894400  1.9526  1.9526  1.9521  1.9521  1.9523       4.756904   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-05-17    676  \n",
       "  2021-05-18    912  \n",
       "  2021-05-19    301  \n",
       "  2021-05-20    479  \n",
       "  2021-05-21     90  \n",
       "  ...           ...  \n",
       "  2022-04-10     25  \n",
       "  2022-04-11     80  \n",
       "  2022-04-12     27  \n",
       "  2022-04-13     13  \n",
       "  2022-04-14      2  \n",
       "  \n",
       "  [333 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2022-03-14  1647216000  2.228  2.448  2.187  2.368  2.273  1.267581e+05    377\n",
       "  2022-03-15  1647302400  2.388  2.388  2.184  2.237  2.258  1.804258e+05    584\n",
       "  2022-03-16  1647388800  2.237  2.675  2.214  2.572  2.345  3.465822e+05    825\n",
       "  2022-03-17  1647475200  2.522  2.537  2.378  2.404  2.437  1.046926e+05    295\n",
       "  2022-03-18  1647561600  2.410  2.458  2.332  2.369  2.389  7.841855e+04    236\n",
       "  2022-03-19  1647648000  2.377  2.947  2.377  2.850  2.692  2.073154e+05    633\n",
       "  2022-03-20  1647734400  2.850  3.167  2.631  2.680  2.816  1.140921e+05    478\n",
       "  2022-03-21  1647820800  2.744  2.867  2.676  2.763  2.766  1.182545e+05    448\n",
       "  2022-03-22  1647907200  2.750  2.918  2.738  2.762  2.853  1.558404e+05    509\n",
       "  2022-03-23  1647993600  2.763  2.844  2.674  2.791  2.763  7.958117e+04    305\n",
       "  2022-03-24  1648080000  2.792  2.920  2.751  2.846  2.815  7.592060e+04    363\n",
       "  2022-03-25  1648166400  2.847  2.900  2.746  2.746  2.809  6.581609e+04    287\n",
       "  2022-03-26  1648252800  2.757  2.780  2.705  2.775  2.736  6.659041e+04    224\n",
       "  2022-03-27  1648339200  2.787  2.881  2.745  2.864  2.804  6.636442e+04    220\n",
       "  2022-03-28  1648425600  2.865  3.390  2.860  3.061  3.148  2.480794e+05    825\n",
       "  2022-03-29  1648512000  3.095  3.627  3.067  3.305  3.367  3.194675e+05    958\n",
       "  2022-03-30  1648598400  3.293  3.611  3.196  3.313  3.396  1.480013e+05    527\n",
       "  2022-03-31  1648684800  3.304  3.466  3.077  3.115  3.274  1.403960e+05    477\n",
       "  2022-04-01  1648771200  3.162  3.510  2.942  3.470  3.185  3.473637e+05   1033\n",
       "  2022-04-02  1648857600  3.431  5.696  3.431  5.046  4.667  1.161047e+06   4950\n",
       "  2022-04-03  1648944000  5.069  5.550  4.435  5.278  4.965  7.329758e+05   2660\n",
       "  2022-04-04  1649030400  5.215  5.988  4.829  5.054  5.429  7.757355e+05   2564\n",
       "  2022-04-05  1649116800  5.097  5.416  4.330  4.347  4.894  4.292246e+05   1440\n",
       "  2022-04-06  1649203200  4.337  4.685  3.750  3.750  4.110  4.915010e+05   1426\n",
       "  2022-04-07  1649289600  3.767  4.171  3.710  4.070  3.982  3.601143e+05    918\n",
       "  2022-04-08  1649376000  4.086  4.146  3.706  3.733  3.957  4.331166e+05    910\n",
       "  2022-04-09  1649462400  3.760  3.965  3.698  3.955  3.844  1.826636e+05    419\n",
       "  2022-04-10  1649548800  3.913  4.482  3.913  4.001  4.198  2.768659e+05    824\n",
       "  2022-04-11  1649635200  3.980  3.983  3.384  3.385  3.638  3.333938e+05    768\n",
       "  2022-04-12  1649721600  3.391  3.768  3.391  3.674  3.638  2.452647e+05    579\n",
       "  2022-04-13  1649808000  3.615  4.218  3.434  3.947  3.758  1.817978e+05    627\n",
       "  2022-04-14  1649894400  3.967  4.117  3.967  4.001  4.060  1.051957e+03     15,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap      volume  \\\n",
       "  dtime                                                                        \n",
       "  2020-04-25  1587772800   17.50   19.00   17.50   17.99   18.45  114.292680   \n",
       "  2020-04-26  1587859200   17.99   19.00   17.80   17.96   18.32  176.184738   \n",
       "  2020-04-27  1587945600   17.96   18.15   17.71   18.11   17.95  441.632519   \n",
       "  2020-04-28  1588032000   18.25   18.25   17.92   18.06   18.04  168.382652   \n",
       "  2020-04-29  1588118400   18.27   20.14   18.19   20.07   19.26  588.787023   \n",
       "  ...                ...     ...     ...     ...     ...     ...         ...   \n",
       "  2022-04-10  1649548800  398.12  399.61  387.08  397.92  392.26  144.522710   \n",
       "  2022-04-11  1649635200  397.57  397.57  330.01  333.36  366.83  385.182460   \n",
       "  2022-04-12  1649721600  332.50  349.99  331.19  344.25  342.06  220.947187   \n",
       "  2022-04-13  1649808000  345.21  356.28  344.42  356.28  349.70   57.175591   \n",
       "  2022-04-14  1649894400  355.67  356.72  355.42  356.72  355.87    1.634986   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25     30  \n",
       "  2020-04-26     55  \n",
       "  2020-04-27     49  \n",
       "  2020-04-28     27  \n",
       "  2020-04-29    112  \n",
       "  ...           ...  \n",
       "  2022-04-10    117  \n",
       "  2022-04-11    628  \n",
       "  2022-04-12    521  \n",
       "  2022-04-13    160  \n",
       "  2022-04-14      8  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-12-18  1608249600  0.27000  0.27000  0.24656  0.26266  0.25957   \n",
       "  2020-12-19  1608336000  0.26039  0.72999  0.25777  0.49097  0.44654   \n",
       "  2020-12-20  1608422400  0.47571  0.99500  0.46464  0.74750  0.66250   \n",
       "  2020-12-21  1608508800  0.73495  0.76566  0.43414  0.47178  0.59370   \n",
       "  2020-12-22  1608595200  0.47334  0.62900  0.42501  0.53567  0.52863   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.40563  0.40827  0.38348  0.38396  0.40098   \n",
       "  2022-04-11  1649635200  0.38531  0.38596  0.34316  0.34847  0.36396   \n",
       "  2022-04-12  1649721600  0.34786  0.37499  0.34786  0.37282  0.36677   \n",
       "  2022-04-13  1649808000  0.37329  0.38605  0.36288  0.38358  0.37430   \n",
       "  2022-04-14  1649894400  0.38328  0.38776  0.38283  0.38776  0.38455   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-12-18  1.978826e+05    118  \n",
       "  2020-12-19  4.724322e+06   3990  \n",
       "  2020-12-20  8.641650e+06   6658  \n",
       "  2020-12-21  6.257616e+06   4076  \n",
       "  2020-12-22  4.625813e+06   2949  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  2.629983e+05    299  \n",
       "  2022-04-11  6.087232e+05    562  \n",
       "  2022-04-12  1.142645e+06   1185  \n",
       "  2022-04-13  4.221416e+05    331  \n",
       "  2022-04-14  3.303461e+03     15  \n",
       "  \n",
       "  [483 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2022-03-18  1647561600  18.990  18.990  16.618  16.890  16.846    7166.186746   \n",
       "  2022-03-19  1647648000  16.930  17.651  16.779  17.547  17.254    9888.352185   \n",
       "  2022-03-20  1647734400  17.689  17.718  16.595  16.780  17.196    4300.510393   \n",
       "  2022-03-21  1647820800  16.889  17.176  16.329  16.935  16.870   14553.822278   \n",
       "  2022-03-22  1647907200  16.957  18.455  16.861  18.061  18.025   14477.450776   \n",
       "  2022-03-23  1647993600  18.110  19.468  17.778  19.041  18.825   18143.309691   \n",
       "  2022-03-24  1648080000  19.112  19.700  18.681  19.360  19.155    8443.544656   \n",
       "  2022-03-25  1648166400  19.352  20.016  18.644  18.773  19.403    7743.908688   \n",
       "  2022-03-26  1648252800  18.824  19.586  18.582  19.341  19.083    9236.998353   \n",
       "  2022-03-27  1648339200  19.437  21.973  19.069  21.969  20.968   20671.997436   \n",
       "  2022-03-28  1648425600  21.860  23.570  21.137  22.220  22.501  206668.786194   \n",
       "  2022-03-29  1648512000  21.720  23.247  21.459  22.126  22.413   34843.203793   \n",
       "  2022-03-30  1648598400  22.037  22.390  21.147  21.945  21.940    9091.907922   \n",
       "  2022-03-31  1648684800  22.019  23.218  20.281  20.761  21.419   40464.787762   \n",
       "  2022-04-01  1648771200  21.050  21.860  20.019  21.606  21.080   40376.258121   \n",
       "  2022-04-02  1648857600  21.565  33.000  20.959  20.959  22.415   44159.768827   \n",
       "  2022-04-03  1648944000  21.142  22.799  20.660  22.561  21.555   18490.864618   \n",
       "  2022-04-04  1649030400  22.473  23.500  20.854  21.855  22.213    9678.405372   \n",
       "  2022-04-05  1649116800  22.003  22.786  20.891  21.048  22.187   25528.271999   \n",
       "  2022-04-06  1649203200  21.099  21.340  18.000  18.730  20.159   39340.743347   \n",
       "  2022-04-07  1649289600  18.852  19.456  18.421  19.305  18.983   10946.076052   \n",
       "  2022-04-08  1649376000  19.267  19.560  17.789  18.024  18.751   17052.780361   \n",
       "  2022-04-09  1649462400  18.060  18.404  17.819  18.365  18.161   12539.799114   \n",
       "  2022-04-10  1649548800  18.381  18.425  17.277  17.335  17.911   10893.339912   \n",
       "  2022-04-11  1649635200  17.327  17.511  15.625  16.028  16.298  212079.339387   \n",
       "  2022-04-12  1649721600  16.000  17.007  16.000  16.608  16.558   10207.575718   \n",
       "  2022-04-13  1649808000  16.725  17.085  16.223  16.954  16.981   58051.587777   \n",
       "  2022-04-14  1649894400  16.998  17.249  16.998  17.196  17.161      41.370674   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-18    208  \n",
       "  2022-03-19    294  \n",
       "  2022-03-20    117  \n",
       "  2022-03-21    187  \n",
       "  2022-03-22    307  \n",
       "  2022-03-23    355  \n",
       "  2022-03-24    186  \n",
       "  2022-03-25    181  \n",
       "  2022-03-26    169  \n",
       "  2022-03-27    394  \n",
       "  2022-03-28   1536  \n",
       "  2022-03-29    761  \n",
       "  2022-03-30    220  \n",
       "  2022-03-31    477  \n",
       "  2022-04-01    396  \n",
       "  2022-04-02    484  \n",
       "  2022-04-03    239  \n",
       "  2022-04-04    420  \n",
       "  2022-04-05    442  \n",
       "  2022-04-06    597  \n",
       "  2022-04-07    210  \n",
       "  2022-04-08    301  \n",
       "  2022-04-09    196  \n",
       "  2022-04-10    189  \n",
       "  2022-04-11   1370  \n",
       "  2022-04-12    189  \n",
       "  2022-04-13    557  \n",
       "  2022-04-14     10  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2020-04-25  1587772800  0.2624  0.2899  0.2619  0.2750  0.2755  196470.554154   \n",
       "  2020-04-26  1587859200  0.2797  0.3112  0.2797  0.2979  0.2966  253437.165224   \n",
       "  2020-04-27  1587945600  0.3000  0.3000  0.2740  0.2885  0.2830  180282.309057   \n",
       "  2020-04-28  1588032000  0.2853  0.2890  0.2776  0.2825  0.2824  127831.874279   \n",
       "  2020-04-29  1588118400  0.2850  0.3075  0.2836  0.3075  0.2924  283312.347307   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  0.8548  0.8624  0.8221  0.8221  0.8372   95394.236986   \n",
       "  2022-04-11  1649635200  0.8219  0.8221  0.7094  0.7316  0.7380  785167.416339   \n",
       "  2022-04-12  1649721600  0.7373  0.7724  0.7198  0.7556  0.7525  168370.619208   \n",
       "  2022-04-13  1649808000  0.7565  0.7940  0.7445  0.7940  0.7730  147724.066633   \n",
       "  2022-04-14  1649894400  0.7939  0.8082  0.7890  0.8036  0.7958    4306.836231   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25    282  \n",
       "  2020-04-26    341  \n",
       "  2020-04-27    246  \n",
       "  2020-04-28    218  \n",
       "  2020-04-29    352  \n",
       "  ...           ...  \n",
       "  2022-04-10    202  \n",
       "  2022-04-11    842  \n",
       "  2022-04-12    376  \n",
       "  2022-04-13    339  \n",
       "  2022-04-14     23  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2022-03-14  1647216000  1.688  1.741  1.563  1.654  1.658  117320.158444   \n",
       "  2022-03-15  1647302400  1.654  1.654  1.508  1.508  1.548  111539.149707   \n",
       "  2022-03-16  1647388800  1.518  1.666  1.458  1.653  1.529  148730.509997   \n",
       "  2022-03-17  1647475200  1.657  1.681  1.561  1.572  1.601  156586.180678   \n",
       "  2022-03-18  1647561600  1.571  1.642  1.491  1.642  1.560  123891.254968   \n",
       "  2022-03-19  1647648000  1.644  2.201  1.598  2.075  2.033  463353.981098   \n",
       "  2022-03-20  1647734400  2.074  2.353  1.938  2.192  2.092  366315.051985   \n",
       "  2022-03-21  1647820800  2.194  2.296  2.001  2.135  2.169  185757.265258   \n",
       "  2022-03-22  1647907200  2.132  2.425  2.092  2.317  2.277  253797.239451   \n",
       "  2022-03-23  1647993600  2.314  2.417  2.145  2.273  2.225  275724.916402   \n",
       "  2022-03-24  1648080000  2.266  2.361  2.113  2.163  2.203   95775.751035   \n",
       "  2022-03-25  1648166400  2.151  2.272  2.114  2.247  2.192  116320.165637   \n",
       "  2022-03-26  1648252800  2.252  2.261  2.162  2.203  2.213  101724.938807   \n",
       "  2022-03-27  1648339200  2.192  2.393  2.180  2.329  2.275  172141.477535   \n",
       "  2022-03-28  1648425600  2.328  2.700  2.276  2.682  2.517  349421.971864   \n",
       "  2022-03-29  1648512000  2.682  2.778  2.510  2.691  2.631  380992.333410   \n",
       "  2022-03-30  1648598400  2.706  2.723  2.526  2.636  2.617   74733.576729   \n",
       "  2022-03-31  1648684800  2.633  2.842  2.300  2.353  2.536  331600.437991   \n",
       "  2022-04-01  1648771200  2.354  2.552  2.220  2.495  2.388  169505.792632   \n",
       "  2022-04-02  1648857600  2.490  2.766  2.406  2.418  2.603  210703.617319   \n",
       "  2022-04-03  1648944000  2.429  2.670  2.356  2.619  2.559  121732.533244   \n",
       "  2022-04-04  1649030400  2.601  2.601  2.333  2.492  2.446   73366.904947   \n",
       "  2022-04-05  1649116800  2.496  2.550  2.333  2.333  2.436   73020.000390   \n",
       "  2022-04-06  1649203200  2.328  2.328  2.000  2.035  2.160  808235.958253   \n",
       "  2022-04-07  1649289600  2.035  2.172  1.972  2.149  2.044  220996.969870   \n",
       "  2022-04-08  1649376000  2.145  2.183  2.000  2.100  2.073  179659.874904   \n",
       "  2022-04-09  1649462400  2.115  2.305  2.058  2.160  2.178  305839.467591   \n",
       "  2022-04-10  1649548800  2.162  2.196  2.023  2.039  2.102   58540.242645   \n",
       "  2022-04-11  1649635200  2.041  2.089  1.721  1.731  1.868  885513.874532   \n",
       "  2022-04-12  1649721600  1.742  1.883  1.712  1.838  1.807   91788.277268   \n",
       "  2022-04-13  1649808000  1.830  1.869  1.734  1.847  1.811   46641.873055   \n",
       "  2022-04-14  1649894400  1.842  1.913  1.838  1.913  1.869    1524.001680   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14    555  \n",
       "  2022-03-15    499  \n",
       "  2022-03-16    717  \n",
       "  2022-03-17    507  \n",
       "  2022-03-18    433  \n",
       "  2022-03-19   2199  \n",
       "  2022-03-20   1923  \n",
       "  2022-03-21   1173  \n",
       "  2022-03-22   1012  \n",
       "  2022-03-23   1209  \n",
       "  2022-03-24    713  \n",
       "  2022-03-25    697  \n",
       "  2022-03-26    388  \n",
       "  2022-03-27    736  \n",
       "  2022-03-28   1658  \n",
       "  2022-03-29   1344  \n",
       "  2022-03-30    536  \n",
       "  2022-03-31   1180  \n",
       "  2022-04-01    972  \n",
       "  2022-04-02   1141  \n",
       "  2022-04-03    861  \n",
       "  2022-04-04    725  \n",
       "  2022-04-05    546  \n",
       "  2022-04-06   1998  \n",
       "  2022-04-07   1007  \n",
       "  2022-04-08    999  \n",
       "  2022-04-09   1394  \n",
       "  2022-04-10    478  \n",
       "  2022-04-11   1614  \n",
       "  2022-04-12    752  \n",
       "  2022-04-13    484  \n",
       "  2022-04-14     55  ,\n",
       "  1649808000),\n",
       " (                  time   open    high    low  close   vwap        volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-08-10  1628553600  8.600   8.777  8.453  8.667  8.624  10292.352868   \n",
       "  2021-08-11  1628640000  8.814  12.500  8.701  9.052  9.464  39152.977979   \n",
       "  2021-08-12  1628726400  9.052  10.500  8.513  9.477  9.031  34861.565586   \n",
       "  2021-08-13  1628812800  9.517   9.754  9.254  9.589  9.484  20592.006569   \n",
       "  2021-08-14  1628899200  9.499   9.998  9.096  9.428  9.410  12637.366543   \n",
       "  ...                ...    ...     ...    ...    ...    ...           ...   \n",
       "  2022-04-10  1649548800  6.323   6.397  6.091  6.091  6.264  35309.867181   \n",
       "  2022-04-11  1649635200  6.063   6.090  5.224  5.276  5.761  30108.312071   \n",
       "  2022-04-12  1649721600  5.294   5.661  5.294  5.502  5.420   8844.415908   \n",
       "  2022-04-13  1649808000  5.485   5.563  5.409  5.563  5.457   8662.633485   \n",
       "  2022-04-14  1649894400  5.563   5.563  5.563  5.563  0.000      0.000000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-08-10    101  \n",
       "  2021-08-11    508  \n",
       "  2021-08-12    423  \n",
       "  2021-08-13    213  \n",
       "  2021-08-14    138  \n",
       "  ...           ...  \n",
       "  2022-04-10    546  \n",
       "  2022-04-11    464  \n",
       "  2022-04-12    130  \n",
       "  2022-04-13     78  \n",
       "  2022-04-14      0  \n",
       "  \n",
       "  [248 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2022-04-01  1648771200  0.03600  0.04500  0.03040  0.03500  0.03496   \n",
       "  2022-04-02  1648857600  0.03500  0.03697  0.03116  0.03449  0.03406   \n",
       "  2022-04-03  1648944000  0.03486  0.03496  0.02877  0.03251  0.03025   \n",
       "  2022-04-04  1649030400  0.03251  0.03252  0.02885  0.03199  0.03017   \n",
       "  2022-04-05  1649116800  0.03030  0.03199  0.02874  0.02905  0.03000   \n",
       "  2022-04-06  1649203200  0.02870  0.04406  0.02833  0.03400  0.03133   \n",
       "  2022-04-07  1649289600  0.03400  0.03400  0.02897  0.03005  0.03026   \n",
       "  2022-04-08  1649376000  0.03004  0.03117  0.02601  0.02602  0.02767   \n",
       "  2022-04-09  1649462400  0.02627  0.02881  0.02535  0.02700  0.02614   \n",
       "  2022-04-10  1649548800  0.02668  0.02869  0.02502  0.02508  0.02612   \n",
       "  2022-04-11  1649635200  0.02496  0.02552  0.02068  0.02180  0.02286   \n",
       "  2022-04-12  1649721600  0.02178  0.02561  0.02006  0.02021  0.02131   \n",
       "  2022-04-13  1649808000  0.02088  0.02445  0.01901  0.02119  0.02027   \n",
       "  2022-04-14  1649894400  0.02119  0.02208  0.02034  0.02034  0.02041   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2022-04-01  5.806208e+05    221  \n",
       "  2022-04-02  7.246704e+05    217  \n",
       "  2022-04-03  1.654927e+06    182  \n",
       "  2022-04-04  1.078621e+06    188  \n",
       "  2022-04-05  2.027258e+06    203  \n",
       "  2022-04-06  4.617850e+06    594  \n",
       "  2022-04-07  8.790897e+05    186  \n",
       "  2022-04-08  2.246113e+06    246  \n",
       "  2022-04-09  1.001543e+06    144  \n",
       "  2022-04-10  9.191065e+05    127  \n",
       "  2022-04-11  2.778038e+06    241  \n",
       "  2022-04-12  1.723831e+06    165  \n",
       "  2022-04-13  1.137812e+06    118  \n",
       "  2022-04-14  4.524662e+04      3  ,\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-07-20  1626739200  3.000  5.500  3.000  5.137  4.398  116448.429387   \n",
       "  2021-07-21  1626825600  4.970  5.393  4.102  4.241  4.488   71774.944511   \n",
       "  2021-07-22  1626912000  4.310  4.513  3.864  4.190  4.123   49915.842850   \n",
       "  2021-07-23  1626998400  4.137  4.400  3.900  4.200  4.187   98173.613296   \n",
       "  2021-07-24  1627084800  4.200  4.260  4.004  4.131  4.162   38705.546879   \n",
       "  ...                ...    ...    ...    ...    ...    ...            ...   \n",
       "  2022-04-10  1649548800  1.456  1.586  1.450  1.561  1.518   11823.491118   \n",
       "  2022-04-11  1649635200  1.548  1.584  1.316  1.316  1.406   21641.335409   \n",
       "  2022-04-12  1649721600  1.307  1.455  1.307  1.357  1.361   25284.682367   \n",
       "  2022-04-13  1649808000  1.358  1.415  1.297  1.410  1.367    9206.612426   \n",
       "  2022-04-14  1649894400  1.410  1.423  1.408  1.422  1.411     803.118448   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-07-20   1133  \n",
       "  2021-07-21   1221  \n",
       "  2021-07-22    478  \n",
       "  2021-07-23    485  \n",
       "  2021-07-24    461  \n",
       "  ...           ...  \n",
       "  2022-04-10    230  \n",
       "  2022-04-11    309  \n",
       "  2022-04-12    418  \n",
       "  2022-04-13    256  \n",
       "  2022-04-14     19  \n",
       "  \n",
       "  [269 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2020-07-15  1594771200  2.1000  4.9900  1.9475  2.1270  2.0561   96193.614276   \n",
       "  2020-07-16  1594857600  2.1270  2.1420  1.9100  2.0589  2.0429  122339.257090   \n",
       "  2020-07-17  1594944000  2.0560  2.3030  1.9516  2.2588  2.1476  173283.728603   \n",
       "  2020-07-18  1595030400  2.2587  3.3344  2.0869  2.4800  2.3312  107532.469704   \n",
       "  2020-07-19  1595116800  2.4800  3.1000  2.4000  2.9934  2.7508  159228.789126   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  4.7441  4.8266  4.3547  4.7735  4.6248  337826.898958   \n",
       "  2022-04-11  1649635200  4.7558  4.7692  4.0774  4.1686  4.3810  396591.623699   \n",
       "  2022-04-12  1649721600  4.1812  4.2869  4.0000  4.1419  4.1202  404904.191967   \n",
       "  2022-04-13  1649808000  4.1448  4.1912  3.8662  4.1100  4.0433  334881.849287   \n",
       "  2022-04-14  1649894400  4.1137  4.2690  4.0899  4.2433  4.1745   43547.369768   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-07-15    516  \n",
       "  2020-07-16    747  \n",
       "  2020-07-17    869  \n",
       "  2020-07-18    782  \n",
       "  2020-07-19   1190  \n",
       "  ...           ...  \n",
       "  2022-04-10   2257  \n",
       "  2022-04-11   2748  \n",
       "  2022-04-12   2062  \n",
       "  2022-04-13   1636  \n",
       "  2022-04-14    269  \n",
       "  \n",
       "  [639 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-11-24  1606176000  0.39001  0.59989  0.35429  0.36993  0.39335   \n",
       "  2020-11-25  1606262400  0.37001  0.47999  0.30001  0.30744  0.33269   \n",
       "  2020-11-26  1606348800  0.31104  0.32000  0.26069  0.29818  0.29067   \n",
       "  2020-11-27  1606435200  0.29734  0.32066  0.28000  0.30102  0.30232   \n",
       "  2020-11-28  1606521600  0.30102  0.33998  0.29959  0.31730  0.31414   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.59224  0.60625  0.58673  0.58673  0.59680   \n",
       "  2022-04-11  1649635200  0.58663  0.58869  0.52608  0.53216  0.54551   \n",
       "  2022-04-12  1649721600  0.53095  0.57846  0.52861  0.54003  0.55167   \n",
       "  2022-04-13  1649808000  0.53912  0.58997  0.53820  0.55601  0.55532   \n",
       "  2022-04-14  1649894400  0.55610  0.55610  0.55035  0.55206  0.55158   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-11-24  7.822262e+05    812  \n",
       "  2020-11-25  8.528500e+05   1214  \n",
       "  2020-11-26  5.220218e+05    652  \n",
       "  2020-11-27  2.949097e+05    424  \n",
       "  2020-11-28  1.985937e+05    473  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  1.129599e+05    295  \n",
       "  2022-04-11  1.053766e+06   1181  \n",
       "  2022-04-12  6.691819e+05    968  \n",
       "  2022-04-13  2.980448e+05    739  \n",
       "  2022-04-14  5.314699e+04     66  \n",
       "  \n",
       "  [507 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time  open   high   low  close   vwap         volume  count\n",
       "  dtime                                                                        \n",
       "  2021-11-30  1638230400  9.25  14.99  9.25   9.90  10.86  145304.851874   1972\n",
       "  2021-12-01  1638316800  9.71  10.79  8.30   8.32   9.14  214465.515693   3038\n",
       "  2021-12-02  1638403200  8.32   8.83  7.50   7.87   8.01  291462.094045   9295\n",
       "  2021-12-03  1638489600  7.94   8.46  6.73   7.31   7.56  240344.861669   7923\n",
       "  2021-12-04  1638576000  7.31   7.89  5.15   6.44   6.61  215037.436410   4409\n",
       "  ...                ...   ...    ...   ...    ...    ...            ...    ...\n",
       "  2022-04-10  1649548800  1.56   1.63  1.51   1.53   1.56   54859.081955    214\n",
       "  2022-04-11  1649635200  1.53   1.57  1.25   1.36   1.37  187714.060586    451\n",
       "  2022-04-12  1649721600  1.31   1.37  1.18   1.22   1.25  147909.261264    375\n",
       "  2022-04-13  1649808000  1.22   1.32  1.13   1.30   1.24  120651.401858    364\n",
       "  2022-04-14  1649894400  1.28   1.28  1.26   1.28   1.26    1312.255533      4\n",
       "  \n",
       "  [136 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap       volume  count\n",
       "  dtime                                                                        \n",
       "  2022-03-14  1647216000  10.10  10.47  10.00  10.21  10.27  2169.519578   1480\n",
       "  2022-03-15  1647302400  10.08  10.76  10.08  10.61  10.54   431.797271   1414\n",
       "  2022-03-16  1647388800  10.61  10.93  10.56  10.93  10.81   308.665994    408\n",
       "  2022-03-17  1647475200  10.86  12.33  10.86  12.16  11.79  1610.234170    828\n",
       "  2022-03-18  1647561600  12.09  12.65  11.90  12.59  12.17   980.670463    977\n",
       "  2022-03-19  1647648000  12.59  12.68  12.18  12.36  12.49   308.913224    956\n",
       "  2022-03-20  1647734400  11.99  12.55  11.87  11.98  12.16   747.825369    951\n",
       "  2022-03-21  1647820800  11.63  12.08  11.25  11.60  11.71   654.603595    267\n",
       "  2022-03-22  1647907200  11.60  13.07  11.60  12.60  12.48  2282.703932     85\n",
       "  2022-03-23  1647993600  12.62  13.22  12.53  13.20  12.86  1127.264389     58\n",
       "  2022-03-24  1648080000  12.93  15.21  12.93  15.10  13.98  3776.451373    143\n",
       "  2022-03-25  1648166400  15.08  15.70  14.81  14.81  15.25  2898.110450    125\n",
       "  2022-03-26  1648252800  14.81  15.78  14.73  14.98  15.46  1607.285737     58\n",
       "  2022-03-27  1648339200  15.38  16.51  15.38  16.43  16.28   594.924493     93\n",
       "  2022-03-28  1648425600  16.51  17.81  16.51  17.35  17.31  2127.374423     90\n",
       "  2022-03-29  1648512000  17.26  17.31  15.86  16.10  16.85  3233.016450     81\n",
       "  2022-03-30  1648598400  16.68  16.88  16.24  16.88  16.70   866.466769     70\n",
       "  2022-03-31  1648684800  16.86  16.86  16.21  16.72  16.65  1013.209033   1304\n",
       "  2022-04-01  1648771200  16.72  16.91  15.41  15.59  16.33  1050.347078   1493\n",
       "  2022-04-02  1648857600  15.59  15.61  14.61  15.17  15.13  2239.153544   1527\n",
       "  2022-04-03  1648944000  15.18  15.56  15.17  15.47  15.38  1051.085094   1465\n",
       "  2022-04-04  1649030400  15.11  15.53  14.77  15.11  15.21  1429.832309   1470\n",
       "  2022-04-05  1649116800  15.12  15.38  14.97  15.14  15.27  2512.910553   1507\n",
       "  2022-04-06  1649203200  15.08  15.13  14.59  14.66  14.87   867.185855   1482\n",
       "  2022-04-07  1649289600  14.35  15.57  14.35  15.30  15.08  2312.460355   1432\n",
       "  2022-04-08  1649376000  14.39  15.85  14.39  15.54  15.65  2119.855733   1090\n",
       "  2022-04-09  1649462400  15.41  15.41  14.99  15.04  15.15   863.194541   1247\n",
       "  2022-04-10  1649548800  15.01  15.31  15.01  15.02  15.18   474.486003    225\n",
       "  2022-04-11  1649635200  15.02  15.02  14.44  14.44  14.73   589.790349     37\n",
       "  2022-04-12  1649721600  14.42  14.55  13.69  13.86  14.19  1295.902217     38\n",
       "  2022-04-13  1649808000  13.61  13.88  13.49  13.64  13.72  3439.096418     37\n",
       "  2022-04-14  1649894400  13.40  13.40  13.40  13.40  13.40    12.133750      1,\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2022-03-14  1647216000  0.000038  0.000039  0.000038  0.000038  0.000038   \n",
       "  2022-03-15  1647302400  0.000038  0.000039  0.000038  0.000039  0.000038   \n",
       "  2022-03-16  1647388800  0.000038  0.000039  0.000038  0.000038  0.000038   \n",
       "  2022-03-17  1647475200  0.000039  0.000039  0.000038  0.000038  0.000038   \n",
       "  2022-03-18  1647561600  0.000038  0.000040  0.000038  0.000039  0.000039   \n",
       "  2022-03-19  1647648000  0.000039  0.000041  0.000039  0.000041  0.000040   \n",
       "  2022-03-20  1647734400  0.000041  0.000041  0.000040  0.000040  0.000040   \n",
       "  2022-03-21  1647820800  0.000040  0.000040  0.000039  0.000040  0.000040   \n",
       "  2022-03-22  1647907200  0.000040  0.000041  0.000040  0.000040  0.000040   \n",
       "  2022-03-23  1647993600  0.000040  0.000041  0.000040  0.000040  0.000040   \n",
       "  2022-03-24  1648080000  0.000040  0.000041  0.000040  0.000040  0.000041   \n",
       "  2022-03-25  1648166400  0.000040  0.000041  0.000039  0.000039  0.000040   \n",
       "  2022-03-26  1648252800  0.000039  0.000040  0.000039  0.000040  0.000040   \n",
       "  2022-03-27  1648339200  0.000040  0.000041  0.000040  0.000041  0.000040   \n",
       "  2022-03-28  1648425600  0.000041  0.000043  0.000041  0.000041  0.000042   \n",
       "  2022-03-29  1648512000  0.000041  0.000042  0.000041  0.000042  0.000042   \n",
       "  2022-03-30  1648598400  0.000042  0.000042  0.000041  0.000041  0.000041   \n",
       "  2022-03-31  1648684800  0.000042  0.000047  0.000039  0.000039  0.000041   \n",
       "  2022-04-01  1648771200  0.000040  0.000041  0.000039  0.000040  0.000040   \n",
       "  2022-04-02  1648857600  0.000041  0.000041  0.000040  0.000040  0.000041   \n",
       "  2022-04-03  1648944000  0.000041  0.000041  0.000040  0.000041  0.000041   \n",
       "  2022-04-04  1649030400  0.000041  0.000041  0.000040  0.000041  0.000041   \n",
       "  2022-04-05  1649116800  0.000041  0.000041  0.000038  0.000040  0.000039   \n",
       "  2022-04-06  1649203200  0.000039  0.000039  0.000037  0.000037  0.000038   \n",
       "  2022-04-07  1649289600  0.000037  0.000038  0.000037  0.000037  0.000037   \n",
       "  2022-04-08  1649376000  0.000037  0.000044  0.000036  0.000036  0.000037   \n",
       "  2022-04-09  1649462400  0.000037  0.000037  0.000036  0.000037  0.000036   \n",
       "  2022-04-10  1649548800  0.000037  0.000037  0.000037  0.000037  0.000037   \n",
       "  2022-04-11  1649635200  0.000037  0.000037  0.000035  0.000035  0.000035   \n",
       "  2022-04-12  1649721600  0.000035  0.000036  0.000035  0.000035  0.000035   \n",
       "  2022-04-13  1649808000  0.000035  0.000036  0.000035  0.000036  0.000035   \n",
       "  2022-04-14  1649894400  0.000036  0.000036  0.000036  0.000036  0.000036   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2022-03-14  2.091718e+08     83  \n",
       "  2022-03-15  7.049123e+07     46  \n",
       "  2022-03-16  1.146702e+08     56  \n",
       "  2022-03-17  8.353294e+07     73  \n",
       "  2022-03-18  6.665448e+08    173  \n",
       "  2022-03-19  6.246983e+08    113  \n",
       "  2022-03-20  1.351872e+08     60  \n",
       "  2022-03-21  1.005588e+08     65  \n",
       "  2022-03-22  3.587721e+08    124  \n",
       "  2022-03-23  1.032419e+08     66  \n",
       "  2022-03-24  2.929187e+08    167  \n",
       "  2022-03-25  2.388597e+08    139  \n",
       "  2022-03-26  2.580277e+08    118  \n",
       "  2022-03-27  3.763424e+08    174  \n",
       "  2022-03-28  8.726974e+08    352  \n",
       "  2022-03-29  6.572750e+08    158  \n",
       "  2022-03-30  1.860616e+08    114  \n",
       "  2022-03-31  2.511336e+09    550  \n",
       "  2022-04-01  4.450886e+08    158  \n",
       "  2022-04-02  3.837206e+08    155  \n",
       "  2022-04-03  1.442196e+08     84  \n",
       "  2022-04-04  3.104136e+08    133  \n",
       "  2022-04-05  1.566096e+09    340  \n",
       "  2022-04-06  3.980335e+08     93  \n",
       "  2022-04-07  9.064513e+07     71  \n",
       "  2022-04-08  6.802209e+08    133  \n",
       "  2022-04-09  1.080238e+08     51  \n",
       "  2022-04-10  8.163129e+07     53  \n",
       "  2022-04-11  4.215565e+08    137  \n",
       "  2022-04-12  2.533425e+08     97  \n",
       "  2022-04-13  3.244312e+08     84  \n",
       "  2022-04-14  7.179372e+04      1  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2020-07-15  1594771200  2.2000  2.2000  1.5803  1.5943  1.6291   48167.298511   \n",
       "  2020-07-16  1594857600  1.5801  1.9898  1.5001  1.5650  1.5823   90257.122320   \n",
       "  2020-07-17  1594944000  1.5650  1.6798  1.5550  1.6167  1.5998   59342.794153   \n",
       "  2020-07-18  1595030400  1.6560  2.0199  1.6560  1.8311  1.8159  137786.992960   \n",
       "  2020-07-19  1595116800  1.8250  1.8397  1.6200  1.6985  1.7240  127161.853353   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  3.7110  4.4909  3.5400  4.1098  4.0743  338059.135360   \n",
       "  2022-04-11  1649635200  4.1029  4.4500  3.8831  4.0177  4.0937  559931.323806   \n",
       "  2022-04-12  1649721600  4.0532  4.4366  3.7842  3.8228  4.1244  271537.419885   \n",
       "  2022-04-13  1649808000  3.8196  3.9912  3.6590  3.8584  3.8218  159867.683305   \n",
       "  2022-04-14  1649894400  3.8549  3.9202  3.8086  3.8874  3.8594   11842.032026   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-07-15    222  \n",
       "  2020-07-16    336  \n",
       "  2020-07-17    204  \n",
       "  2020-07-18    741  \n",
       "  2020-07-19    467  \n",
       "  ...           ...  \n",
       "  2022-04-10   5585  \n",
       "  2022-04-11   9983  \n",
       "  2022-04-12   5320  \n",
       "  2022-04-13   3104  \n",
       "  2022-04-14    296  \n",
       "  \n",
       "  [639 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap       volume  count\n",
       "  dtime                                                                        \n",
       "  2022-03-14  1647216000  343.7  360.6  343.7  354.1  351.8   384.697222     98\n",
       "  2022-03-15  1647302400  354.9  360.3  345.6  352.0  352.3   289.426423     83\n",
       "  2022-03-16  1647388800  354.3  371.5  351.9  365.4  359.3    56.977841     93\n",
       "  2022-03-17  1647475200  363.7  373.3  356.2  363.2  361.5    56.763819     75\n",
       "  2022-03-18  1647561600  360.2  390.9  350.7  368.5  375.0   190.295182    135\n",
       "  2022-03-19  1647648000  369.4  380.7  367.0  374.7  373.3   138.464042     94\n",
       "  2022-03-20  1647734400  371.0  430.2  366.9  393.0  402.5   956.240972    298\n",
       "  2022-03-21  1647820800  390.8  397.8  377.9  384.6  388.0   234.017083    124\n",
       "  2022-03-22  1647907200  382.7  410.1  382.7  400.2  396.9   323.289095    133\n",
       "  2022-03-23  1647993600  399.5  399.5  386.4  391.1  390.2   209.490317    110\n",
       "  2022-03-24  1648080000  393.2  408.8  390.6  395.7  395.4   113.051579     72\n",
       "  2022-03-25  1648166400  395.8  485.0  394.9  476.8  421.6   478.458096    250\n",
       "  2022-03-26  1648252800  478.6  640.5  458.2  585.6  560.0  1711.121399   1232\n",
       "  2022-03-27  1648339200  579.6  593.3  537.6  558.7  567.5  1063.572914    627\n",
       "  2022-03-28  1648425600  553.9  585.7  529.6  533.7  548.8   613.722955    437\n",
       "  2022-03-29  1648512000  531.1  553.0  492.0  506.2  528.5   600.939880    285\n",
       "  2022-03-30  1648598400  507.2  541.9  489.1  511.6  516.7   433.024583    239\n",
       "  2022-03-31  1648684800  514.8  527.2  494.0  498.6  511.3   934.413298    270\n",
       "  2022-04-01  1648771200  502.2  842.0  481.9  564.3  545.3  1516.933063    587\n",
       "  2022-04-02  1648857600  558.8  584.5  527.6  527.6  550.3   472.668890    201\n",
       "  2022-04-03  1648944000  531.0  542.2  514.0  531.7  527.9   468.275857    191\n",
       "  2022-04-04  1649030400  531.2  531.2  499.0  507.8  513.4   282.398897    180\n",
       "  2022-04-05  1649116800  507.2  515.5  491.1  491.1  501.9   212.835453    186\n",
       "  2022-04-06  1649203200  483.0  494.6  438.0  438.5  461.0   751.506179    222\n",
       "  2022-04-07  1649289600  436.9  457.0  427.9  446.6  440.1   282.451344     94\n",
       "  2022-04-08  1649376000  445.4  493.0  425.1  432.0  453.1   825.447649    217\n",
       "  2022-04-09  1649462400  435.0  480.8  435.0  464.2  461.6   682.173848    222\n",
       "  2022-04-10  1649548800  463.7  472.9  438.6  443.4  461.8   600.660876    154\n",
       "  2022-04-11  1649635200  443.5  443.8  395.0  401.9  416.9   607.564861    144\n",
       "  2022-04-12  1649721600  396.9  421.0  392.7  409.1  411.3   148.352269     63\n",
       "  2022-04-13  1649808000  412.4  418.5  409.2  417.9  412.3    80.281224     33\n",
       "  2022-04-14  1649894400  416.4  416.4  416.2  416.2  416.2     0.015708      2,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap       volume  \\\n",
       "  dtime                                                                         \n",
       "  2020-09-17  1600300800   58.98   58.98   43.54   47.82   46.86  1849.726245   \n",
       "  2020-09-18  1600387200   48.14   50.07   41.10   45.94   44.28  2173.781578   \n",
       "  2020-09-19  1600473600   45.13   46.85   43.25   43.34   44.78  1262.413342   \n",
       "  2020-09-20  1600560000   43.34   44.49   37.05   39.99   40.15   959.934094   \n",
       "  2020-09-21  1600646400   38.69   39.79   31.56   33.73   36.01   981.388385   \n",
       "  ...                ...     ...     ...     ...     ...     ...          ...   \n",
       "  2022-04-10  1649548800  178.23  179.42  169.11  169.11  176.46  2933.663733   \n",
       "  2022-04-11  1649635200  169.77  169.89  150.24  152.27  156.92  7030.555466   \n",
       "  2022-04-12  1649721600  152.99  159.30  148.54  153.75  154.50  8873.608439   \n",
       "  2022-04-13  1649808000  153.60  162.00  150.86  160.80  158.40  4571.537521   \n",
       "  2022-04-14  1649894400  161.06  165.54  160.92  165.54  163.81   600.955583   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-09-17    347  \n",
       "  2020-09-18    226  \n",
       "  2020-09-19    205  \n",
       "  2020-09-20    148  \n",
       "  2020-09-21    297  \n",
       "  ...           ...  \n",
       "  2022-04-10    791  \n",
       "  2022-04-11   1718  \n",
       "  2022-04-12   1361  \n",
       "  2022-04-13   1469  \n",
       "  2022-04-14    156  \n",
       "  \n",
       "  [575 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2020-04-25  1587772800   3.77100   3.90303   3.75000   3.79206   3.81913   \n",
       "  2020-04-26  1587859200   3.78820   3.81242   3.66933   3.71059   3.74065   \n",
       "  2020-04-27  1587945600   3.74239   3.74239   3.46579   3.63417   3.58759   \n",
       "  2020-04-28  1588032000   3.62665   3.73099   3.56289   3.66291   3.67606   \n",
       "  2020-04-29  1588118400   3.65160   3.99453   3.64250   3.89713   3.80824   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800  15.38929  15.91599  15.19334  15.21799  15.54679   \n",
       "  2022-04-11  1649635200  15.22173  15.26557  13.53432  13.74681  14.14871   \n",
       "  2022-04-12  1649721600  13.76540  14.31016  13.64968  13.97175  13.95387   \n",
       "  2022-04-13  1649808000  13.98591  14.20178  13.69349  14.18951  14.03133   \n",
       "  2022-04-14  1649894400  14.16297  14.28461  14.11322  14.26992  14.18558   \n",
       "  \n",
       "                     volume  count  \n",
       "  dtime                             \n",
       "  2020-04-25  199811.278033    707  \n",
       "  2020-04-26  269326.707876    986  \n",
       "  2020-04-27  157537.774058    825  \n",
       "  2020-04-28  145880.069947    648  \n",
       "  2020-04-29  348895.955145   1394  \n",
       "  ...                   ...    ...  \n",
       "  2022-04-10   90845.065692   2018  \n",
       "  2022-04-11  199475.031593   4401  \n",
       "  2022-04-12  146842.392420   3415  \n",
       "  2022-04-13  146079.903634   2939  \n",
       "  2022-04-14    6282.287768    180  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap       volume  count\n",
       "  dtime                                                                        \n",
       "  2021-05-20  1621468800  23.00  23.15  22.06  22.94  22.74  2231.826471     54\n",
       "  2021-05-21  1621555200  22.95  23.37  17.65  17.82  20.47  3237.003346     77\n",
       "  2021-05-22  1621641600  18.33  18.42  16.84  17.58  17.72  1865.408035     19\n",
       "  2021-05-23  1621728000  16.98  16.98  10.72  13.76  12.43  9302.900506    180\n",
       "  2021-05-24  1621814400  14.29  20.71  14.29  20.71  17.90  5045.857679    102\n",
       "  ...                ...    ...    ...    ...    ...    ...          ...    ...\n",
       "  2022-04-10  1649548800  25.40  25.47  24.13  24.13  24.87  2172.698026    381\n",
       "  2022-04-11  1649635200  24.16  24.28  22.11  22.30  23.10  3234.453584    438\n",
       "  2022-04-12  1649721600  22.36  24.07  22.23  23.88  23.24  4033.320883    437\n",
       "  2022-04-13  1649808000  23.94  24.82  23.61  24.40  24.02  2159.041212    391\n",
       "  2022-04-14  1649894400  24.33  24.86  24.33  24.86  24.58   181.431808     27\n",
       "  \n",
       "  [330 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-08-03  1627948800  0.2441  0.2600  0.2411  0.2423  0.2498  267127.167151   \n",
       "  2021-08-04  1628035200  0.2408  0.2572  0.2402  0.2550  0.2467  137371.557402   \n",
       "  2021-08-05  1628121600  0.2470  0.2634  0.2470  0.2586  0.2567  107493.173809   \n",
       "  2021-08-06  1628208000  0.2501  0.2694  0.2500  0.2693  0.2599   67541.357882   \n",
       "  2021-08-07  1628294400  0.2691  0.2911  0.2444  0.2820  0.2740  237799.393437   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  1.0102  1.0134  0.9572  0.9592  0.9834  100340.798431   \n",
       "  2022-04-11  1649635200  0.9577  0.9615  0.8366  0.8481  0.9030  562031.061801   \n",
       "  2022-04-12  1649721600  0.8532  0.9213  0.8397  0.9183  0.8839  454240.372428   \n",
       "  2022-04-13  1649808000  0.9122  0.9243  0.8893  0.9176  0.9135  173664.568379   \n",
       "  2022-04-14  1649894400  0.9169  0.9398  0.9169  0.9398  0.9296   19184.095770   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-08-03     88  \n",
       "  2021-08-04     67  \n",
       "  2021-08-05     46  \n",
       "  2021-08-06     36  \n",
       "  2021-08-07     86  \n",
       "  ...           ...  \n",
       "  2022-04-10    517  \n",
       "  2022-04-11   1403  \n",
       "  2022-04-12   1085  \n",
       "  2022-04-13    593  \n",
       "  2022-04-14     95  \n",
       "  \n",
       "  [255 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2020-04-25  1587772800  1.046897  1.065877  1.046689  1.049591  1.058173   \n",
       "  2020-04-26  1587859200  1.050589  1.067116  1.041714  1.067116  1.048960   \n",
       "  2020-04-27  1587945600  1.070172  1.192216  1.054070  1.178366  1.125724   \n",
       "  2020-04-28  1588032000  1.157830  1.313171  1.130469  1.284959  1.245112   \n",
       "  2020-04-29  1588118400  1.264157  1.400000  1.248531  1.281368  1.283703   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800  2.219187  2.242101  2.165000  2.165000  2.209685   \n",
       "  2022-04-11  1649635200  2.156802  2.156802  1.974848  1.995436  2.023921   \n",
       "  2022-04-12  1649721600  2.000047  2.275915  1.973941  2.120809  2.129312   \n",
       "  2022-04-13  1649808000  2.138918  2.185171  2.078250  2.171639  2.141052   \n",
       "  2022-04-14  1649894400  2.174484  2.192672  2.174484  2.192672  2.179854   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25   7265.047301     75  \n",
       "  2020-04-26  16011.937378    106  \n",
       "  2020-04-27  51191.376813    322  \n",
       "  2020-04-28  60778.836967    438  \n",
       "  2020-04-29  31127.610222    166  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  20477.347671    154  \n",
       "  2022-04-11  42400.584978    259  \n",
       "  2022-04-12  69157.362970    456  \n",
       "  2022-04-13  42971.573498    233  \n",
       "  2022-04-14    705.442656     17  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-12-16  1639612800  66.91  75.00  63.51  63.51  66.37   31539.636355   \n",
       "  2021-12-17  1639699200  64.67  75.00  60.76  65.64  65.72   59796.021566   \n",
       "  2021-12-18  1639785600  65.57  74.80  62.51  74.62  70.22   65327.583512   \n",
       "  2021-12-19  1639872000  74.48  79.03  72.78  78.30  74.96   50633.007874   \n",
       "  2021-12-20  1639958400  78.09  82.90  72.30  81.90  78.64   94061.908393   \n",
       "  ...                ...    ...    ...    ...    ...    ...            ...   \n",
       "  2022-04-10  1649548800  97.51  97.51  91.35  91.94  94.57   52112.749165   \n",
       "  2022-04-11  1649635200  91.81  92.01  80.71  82.46  85.90  132266.520698   \n",
       "  2022-04-12  1649721600  82.48  88.35  81.39  84.61  84.39   88820.633949   \n",
       "  2022-04-13  1649808000  84.54  88.07  82.87  87.80  86.33   47279.820341   \n",
       "  2022-04-14  1649894400  87.61  89.39  87.54  89.39  88.55    4015.466753   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-12-16   1031  \n",
       "  2021-12-17   3805  \n",
       "  2021-12-18   1994  \n",
       "  2021-12-19   2167  \n",
       "  2021-12-20   5029  \n",
       "  ...           ...  \n",
       "  2022-04-10   6305  \n",
       "  2022-04-11  14299  \n",
       "  2022-04-12  10232  \n",
       "  2022-04-13   6507  \n",
       "  2022-04-14    544  \n",
       "  \n",
       "  [120 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-12-15  1607990400  0.09301  0.09400  0.08529  0.08950  0.09045   \n",
       "  2020-12-16  1608076800  0.08950  0.09500  0.08405  0.08917  0.08711   \n",
       "  2020-12-17  1608163200  0.08762  0.11999  0.08674  0.08749  0.08925   \n",
       "  2020-12-18  1608249600  0.08705  0.09390  0.08651  0.08851  0.08886   \n",
       "  2020-12-19  1608336000  0.08901  0.09979  0.08901  0.09273  0.09315   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  2.33845  2.35186  2.26057  2.26057  2.32550   \n",
       "  2022-04-11  1649635200  2.26010  2.28088  2.03465  2.05473  2.13975   \n",
       "  2022-04-12  1649721600  2.06596  2.19813  2.04773  2.15296  2.14572   \n",
       "  2022-04-13  1649808000  2.15187  2.21884  2.11105  2.20795  2.18007   \n",
       "  2022-04-14  1649894400  2.20101  2.22986  2.19886  2.22986  2.20373   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-12-15  6.591298e+05    340  \n",
       "  2020-12-16  1.079133e+06    861  \n",
       "  2020-12-17  5.660425e+05    334  \n",
       "  2020-12-18  2.749397e+05    127  \n",
       "  2020-12-19  5.230976e+05    330  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  3.168330e+05   1180  \n",
       "  2022-04-11  1.148514e+06   3080  \n",
       "  2022-04-12  3.171693e+05   1693  \n",
       "  2022-04-13  2.717961e+05   1188  \n",
       "  2022-04-14  1.486626e+04     99  \n",
       "  \n",
       "  [486 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap       volume  count\n",
       "  dtime                                                                        \n",
       "  2022-04-01  1648771200  8.998  9.000  5.789  6.790  7.813  1237.731588     64\n",
       "  2022-04-02  1648857600  6.789  7.095  5.943  5.948  6.258  3119.251303    113\n",
       "  2022-04-03  1648944000  5.978  6.168  5.877  5.900  6.036   828.081766     22\n",
       "  2022-04-04  1649030400  5.981  5.981  5.373  5.629  5.679  1945.899876     38\n",
       "  2022-04-05  1649116800  5.684  5.850  5.333  5.374  5.714   361.364931     24\n",
       "  2022-04-06  1649203200  5.127  5.271  4.650  4.658  4.967  3260.699611     21\n",
       "  2022-04-07  1649289600  4.510  4.743  4.444  4.693  4.688  2081.773045     15\n",
       "  2022-04-08  1649376000  4.767  4.767  4.444  4.444  4.590    53.014682      6\n",
       "  2022-04-09  1649462400  4.512  4.606  4.512  4.593  4.558   206.477543      8\n",
       "  2022-04-10  1649548800  4.624  4.683  4.515  4.683  4.615    45.709440      4\n",
       "  2022-04-11  1649635200  4.440  4.442  3.984  3.984  4.162   362.596056     20\n",
       "  2022-04-12  1649721600  3.993  4.266  3.993  4.252  4.146   439.824687     17\n",
       "  2022-04-13  1649808000  4.248  4.426  4.178  4.349  4.316   257.675067     14\n",
       "  2022-04-14  1649894400  4.349  4.349  4.349  4.349  0.000     0.000000      0,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2021-05-17  1621209600  1.6825  1.7838  1.6108  1.7290  1.6981  5.884530e+05   \n",
       "  2021-05-18  1621296000  1.7453  3.0000  1.7152  2.4531  2.2942  4.192329e+06   \n",
       "  2021-05-19  1621382400  2.4700  2.8500  1.1000  1.6359  2.0754  6.430444e+06   \n",
       "  2021-05-20  1621468800  1.6308  2.6500  1.3455  1.8453  1.9083  3.563748e+06   \n",
       "  2021-05-21  1621555200  1.8351  1.9541  1.2057  1.4856  1.5571  3.644859e+06   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  1.4601  1.4893  1.4211  1.4211  1.4601  6.143105e+05   \n",
       "  2022-04-11  1649635200  1.4247  1.4384  1.3142  1.3346  1.3601  1.770991e+06   \n",
       "  2022-04-12  1649721600  1.3366  1.4766  1.3278  1.3926  1.4213  3.249104e+06   \n",
       "  2022-04-13  1649808000  1.3926  1.4372  1.3651  1.4196  1.4033  1.460028e+06   \n",
       "  2022-04-14  1649894400  1.4198  1.4363  1.4169  1.4359  1.4307  3.902532e+04   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-05-17    726  \n",
       "  2021-05-18   7420  \n",
       "  2021-05-19   9211  \n",
       "  2021-05-20   5148  \n",
       "  2021-05-21   3388  \n",
       "  ...           ...  \n",
       "  2022-04-10   1732  \n",
       "  2022-04-11   3564  \n",
       "  2022-04-12   5229  \n",
       "  2022-04-13   3492  \n",
       "  2022-04-14    166  \n",
       "  \n",
       "  [333 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2022-03-14  1647216000  1.880  1.931  1.870  1.918  1.915  13447.804125    181\n",
       "  2022-03-15  1647302400  1.920  1.957  1.859  1.929  1.918  32193.522881    156\n",
       "  2022-03-16  1647388800  1.929  2.300  1.904  2.127  1.976  71111.531007    894\n",
       "  2022-03-17  1647475200  2.133  2.140  2.079  2.115  2.111   6117.109951     95\n",
       "  2022-03-18  1647561600  2.115  2.307  2.078  2.286  2.168  50263.721784    340\n",
       "  2022-03-19  1647648000  2.285  2.424  2.256  2.309  2.324  32542.844302    273\n",
       "  2022-03-20  1647734400  2.318  2.318  2.222  2.238  2.263   2308.229281     44\n",
       "  2022-03-21  1647820800  2.239  2.354  2.211  2.253  2.282   9436.099403    120\n",
       "  2022-03-22  1647907200  2.244  2.321  2.244  2.258  2.290   4332.571349     76\n",
       "  2022-03-23  1647993600  2.257  2.318  2.189  2.318  2.260   4469.606887     69\n",
       "  2022-03-24  1648080000  2.321  2.670  2.305  2.565  2.530  43373.283508    492\n",
       "  2022-03-25  1648166400  2.563  2.717  2.491  2.491  2.579  15934.239893    193\n",
       "  2022-03-26  1648252800  2.507  2.507  1.959  2.484  2.411   6360.918586     71\n",
       "  2022-03-27  1648339200  2.490  2.638  2.489  2.637  2.561   4740.136829     80\n",
       "  2022-03-28  1648425600  2.648  2.778  2.630  2.632  2.715  14630.150455    167\n",
       "  2022-03-29  1648512000  2.666  2.847  2.666  2.737  2.751  10607.965707    149\n",
       "  2022-03-30  1648598400  2.750  2.809  2.680  2.758  2.751  11112.448030    131\n",
       "  2022-03-31  1648684800  2.771  2.861  2.654  2.658  2.780   8740.890155    118\n",
       "  2022-04-01  1648771200  2.669  2.895  2.613  2.853  2.853  24784.876570    216\n",
       "  2022-04-02  1648857600  2.863  3.053  2.590  2.906  2.937  26666.715367    169\n",
       "  2022-04-03  1648944000  2.886  2.945  2.833  2.929  2.914   6831.379838     73\n",
       "  2022-04-04  1649030400  2.893  2.893  2.723  2.807  2.799   4919.826885     66\n",
       "  2022-04-05  1649116800  2.824  2.841  2.684  2.689  2.768   5388.216551     78\n",
       "  2022-04-06  1649203200  2.667  2.667  2.304  2.403  2.496   7585.764078    114\n",
       "  2022-04-07  1649289600  2.401  2.430  2.352  2.409  2.388   3086.263283     52\n",
       "  2022-04-08  1649376000  2.410  2.445  2.251  2.253  2.330   7196.375175    110\n",
       "  2022-04-09  1649462400  2.249  2.259  2.173  2.210  2.219   6415.800540     88\n",
       "  2022-04-10  1649548800  2.232  2.364  2.216  2.259  2.294   7676.359273    130\n",
       "  2022-04-11  1649635200  2.245  2.250  1.997  2.029  2.110   7857.479584    139\n",
       "  2022-04-12  1649721600  2.020  2.107  2.008  2.086  2.057   6531.650323    109\n",
       "  2022-04-13  1649808000  2.077  2.772  2.067  2.329  2.365  20794.626458    297\n",
       "  2022-04-14  1649894400  2.364  2.371  2.340  2.352  2.359    587.921442     10,\n",
       "  1649808000),\n",
       " (                  time   open   high   low  close  vwap        volume  count\n",
       "  dtime                                                                       \n",
       "  2021-06-01  1622505600  10.00  19.00  2.73   3.25  4.08  3.105506e+06  17735\n",
       "  2021-06-02  1622592000   3.23   4.37  2.83   4.08  3.45  1.651540e+06   6048\n",
       "  2021-06-03  1622678400   4.08   5.46  3.70   4.55  4.69  2.146178e+06  14915\n",
       "  2021-06-04  1622764800   4.56   4.56  3.55   3.85  3.95  1.476516e+06   6119\n",
       "  2021-06-05  1622851200   3.86   4.04  3.36   3.47  3.72  1.012177e+06   2965\n",
       "  ...                ...    ...    ...   ...    ...   ...           ...    ...\n",
       "  2022-04-10  1649548800   3.24   3.25  2.93   2.97  3.06  5.928566e+05   2741\n",
       "  2022-04-11  1649635200   2.97   2.97  2.54   2.56  2.72  8.430636e+05   2753\n",
       "  2022-04-12  1649721600   2.56   2.68  2.35   2.40  2.49  7.922734e+05   3390\n",
       "  2022-04-13  1649808000   2.41   2.56  2.27   2.53  2.42  3.503862e+05   1989\n",
       "  2022-04-14  1649894400   2.52   2.61  2.51   2.59  2.55  1.853110e+04    150\n",
       "  \n",
       "  [318 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2021-08-10  1628553600  3.700  3.700  3.327  3.409  3.438  17375.018052    201\n",
       "  2021-08-11  1628640000  3.409  4.000  3.400  3.644  3.647  22645.080509    328\n",
       "  2021-08-12  1628726400  3.657  3.753  3.347  3.414  3.503  12198.986026    127\n",
       "  2021-08-13  1628812800  3.436  3.999  3.436  3.790  3.695  13847.124494    149\n",
       "  2021-08-14  1628899200  3.816  4.144  3.700  4.029  3.902  14498.215209    214\n",
       "  ...                ...    ...    ...    ...    ...    ...           ...    ...\n",
       "  2022-04-10  1649548800  1.935  1.935  1.802  1.820  1.839  20376.822831    123\n",
       "  2022-04-11  1649635200  1.800  1.832  1.559  1.559  1.662  63924.856329    194\n",
       "  2022-04-12  1649721600  1.565  1.676  1.548  1.661  1.592  57928.161097    202\n",
       "  2022-04-13  1649808000  1.654  1.701  1.610  1.649  1.648  30742.688203    143\n",
       "  2022-04-14  1649894400  1.659  1.682  1.659  1.682  1.681   1259.010506      4\n",
       "  \n",
       "  [248 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open     high     low   close    vwap      volume  \\\n",
       "  dtime                                                                         \n",
       "  2021-05-14  1620950400  5650.0  10000.0  4724.3  5029.6  5159.8   14.943816   \n",
       "  2021-05-15  1621036800  5048.6   5109.6  4611.7  4788.2  4826.6   18.972182   \n",
       "  2021-05-16  1621123200  4771.9   4906.8  4210.6  4517.1  4573.9   25.293961   \n",
       "  2021-05-17  1621209600  4557.9   4936.7  4158.5  4274.8  4389.7   89.530402   \n",
       "  2021-05-18  1621296000  4318.0   5025.4  4313.6  4597.3  4807.9   48.940322   \n",
       "  ...                ...     ...      ...     ...     ...     ...         ...   \n",
       "  2022-04-10  1649548800  2092.4   2097.4  2013.1  2013.1  2052.0    9.610513   \n",
       "  2022-04-11  1649635200  2020.4   2030.2  1802.1  1810.5  1903.5   44.744981   \n",
       "  2022-04-12  1649721600  1804.2   1916.9  1804.2  1860.0  1842.9   26.770393   \n",
       "  2022-04-13  1649808000  1848.6   1959.1  1800.3  1942.1  1920.4  231.350570   \n",
       "  2022-04-14  1649894400  1943.4   1951.3  1943.4  1951.3  1945.4    0.250754   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-05-14    151  \n",
       "  2021-05-15     69  \n",
       "  2021-05-16    132  \n",
       "  2021-05-17    286  \n",
       "  2021-05-18    258  \n",
       "  ...           ...  \n",
       "  2022-04-10     76  \n",
       "  2022-04-11    152  \n",
       "  2022-04-12     97  \n",
       "  2022-04-13    241  \n",
       "  2022-04-14      3  \n",
       "  \n",
       "  [336 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-14  1647216000  0.1502  0.1514  0.1502  0.1509  0.1510   1110.037289   \n",
       "  2022-03-15  1647302400  0.1512  0.1512  0.1469  0.1477  0.1480  35777.420908   \n",
       "  2022-03-16  1647388800  0.1459  0.1508  0.1449  0.1508  0.1466  36597.288290   \n",
       "  2022-03-17  1647475200  0.1497  0.1509  0.1496  0.1509  0.1501   3483.138669   \n",
       "  2022-03-18  1647561600  0.1509  0.1511  0.1496  0.1510  0.1504  16827.248219   \n",
       "  2022-03-19  1647648000  0.1500  0.1618  0.1500  0.1589  0.1582  14118.202488   \n",
       "  2022-03-20  1647734400  0.1579  0.1579  0.1512  0.1521  0.1551  43913.702951   \n",
       "  2022-03-21  1647820800  0.1514  0.1541  0.1514  0.1541  0.1534   2860.862399   \n",
       "  2022-03-22  1647907200  0.1520  0.1556  0.1520  0.1535  0.1536  34660.174280   \n",
       "  2022-03-23  1647993600  0.1517  0.1558  0.1517  0.1558  0.1552   2668.209861   \n",
       "  2022-03-24  1648080000  0.1561  0.1618  0.1560  0.1573  0.1578  17291.509869   \n",
       "  2022-03-25  1648166400  0.1573  0.1579  0.1540  0.1558  0.1549   5686.091138   \n",
       "  2022-03-26  1648252800  0.1553  0.1559  0.1515  0.1530  0.1526  28891.776796   \n",
       "  2022-03-27  1648339200  0.1558  0.1572  0.1530  0.1572  0.1545   6492.881300   \n",
       "  2022-03-28  1648425600  0.1584  0.1698  0.1575  0.1698  0.1647  87812.406014   \n",
       "  2022-03-29  1648512000  0.1658  0.1709  0.1641  0.1692  0.1688  93148.586961   \n",
       "  2022-03-30  1648598400  0.1684  0.1726  0.1654  0.1721  0.1680  44301.789248   \n",
       "  2022-03-31  1648684800  0.1744  0.1754  0.1633  0.1641  0.1672  25898.684455   \n",
       "  2022-04-01  1648771200  0.1634  0.1667  0.1619  0.1667  0.1635   8007.625120   \n",
       "  2022-04-02  1648857600  0.1697  0.1709  0.1680  0.1680  0.1701   5349.169286   \n",
       "  2022-04-03  1648944000  0.1657  0.1693  0.1636  0.1670  0.1664  28502.188909   \n",
       "  2022-04-04  1649030400  0.1648  0.1681  0.1636  0.1643  0.1664  29908.676950   \n",
       "  2022-04-05  1649116800  0.1649  0.1649  0.1600  0.1607  0.1609   8914.595747   \n",
       "  2022-04-06  1649203200  0.1596  0.1608  0.1507  0.1577  0.1584   2638.867172   \n",
       "  2022-04-07  1649289600  0.1567  0.1570  0.1546  0.1561  0.1551   6631.965788   \n",
       "  2022-04-08  1649376000  0.1582  0.1582  0.1535  0.1535  0.1571   6697.487840   \n",
       "  2022-04-09  1649462400  0.1533  0.1547  0.1527  0.1535  0.1533   3453.201553   \n",
       "  2022-04-10  1649548800  0.1541  0.1541  0.1524  0.1534  0.1533   2263.170725   \n",
       "  2022-04-11  1649635200  0.1534  0.1534  0.1484  0.1502  0.1508  11120.592504   \n",
       "  2022-04-12  1649721600  0.1510  0.1516  0.1503  0.1503  0.1506   3506.031432   \n",
       "  2022-04-13  1649808000  0.1515  0.1534  0.1511  0.1511  0.1514   1777.002124   \n",
       "  2022-04-14  1649894400  0.1513  0.1513  0.1513  0.1513  0.1513     25.537516   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14      3  \n",
       "  2022-03-15     21  \n",
       "  2022-03-16     31  \n",
       "  2022-03-17     17  \n",
       "  2022-03-18     25  \n",
       "  2022-03-19     27  \n",
       "  2022-03-20     29  \n",
       "  2022-03-21     16  \n",
       "  2022-03-22     29  \n",
       "  2022-03-23      8  \n",
       "  2022-03-24     18  \n",
       "  2022-03-25     24  \n",
       "  2022-03-26     16  \n",
       "  2022-03-27     15  \n",
       "  2022-03-28    117  \n",
       "  2022-03-29     51  \n",
       "  2022-03-30     34  \n",
       "  2022-03-31     30  \n",
       "  2022-04-01     15  \n",
       "  2022-04-02      8  \n",
       "  2022-04-03     19  \n",
       "  2022-04-04     35  \n",
       "  2022-04-05     11  \n",
       "  2022-04-06     19  \n",
       "  2022-04-07     14  \n",
       "  2022-04-08      6  \n",
       "  2022-04-09     12  \n",
       "  2022-04-10     10  \n",
       "  2022-04-11     28  \n",
       "  2022-04-12     14  \n",
       "  2022-04-13      9  \n",
       "  2022-04-14      1  ,\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2021-08-27  1630022400   89.0900  120.0000   50.0000   83.7467   86.1340   \n",
       "  2021-08-28  1630108800   82.9175   98.0000   78.5001   93.9999   89.5380   \n",
       "  2021-08-29  1630195200   93.9999  199.0000   83.0835  163.9018  124.8386   \n",
       "  2021-08-30  1630281600  162.2884  180.0000  121.0000  160.2578  148.6522   \n",
       "  2021-08-31  1630368000  159.4998  189.0000  142.0000  156.0000  171.0416   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800   66.5019   71.3892   64.5954   64.6100   66.7904   \n",
       "  2022-04-11  1649635200   64.6654   68.6198   55.6700   56.1952   60.0772   \n",
       "  2022-04-12  1649721600   57.1628   61.2593   56.4160   58.2436   58.7194   \n",
       "  2022-04-13  1649808000   58.2436   60.0538   56.2982   59.5722   58.4790   \n",
       "  2022-04-14  1649894400   60.0315   60.1146   59.6254   60.1146   60.0347   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2021-08-27  59295.881104  10364  \n",
       "  2021-08-28  29377.061785   5449  \n",
       "  2021-08-29  48845.672897  10023  \n",
       "  2021-08-30  27497.879946   7577  \n",
       "  2021-08-31  23027.027736   7435  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10   2806.653208    384  \n",
       "  2022-04-11   4851.353174    618  \n",
       "  2022-04-12   3825.361538    820  \n",
       "  2022-04-13   3751.569458    296  \n",
       "  2022-04-14    112.009456     12  \n",
       "  \n",
       "  [231 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-29  1648512000  13.010  31.999  12.086  12.500  13.282   3421.777976   \n",
       "  2022-03-30  1648598400  12.499  25.605  11.349  12.988  13.507  38320.076889   \n",
       "  2022-03-31  1648684800  13.040  13.542  12.260  12.416  12.557  37749.347265   \n",
       "  2022-04-01  1648771200  12.499  16.528  11.068  13.700  12.863  78679.643581   \n",
       "  2022-04-02  1648857600  13.999  14.027  12.610  13.361  13.525    837.992173   \n",
       "  2022-04-03  1648944000  13.899  15.603  12.901  14.289  13.991    359.965754   \n",
       "  2022-04-04  1649030400  15.204  15.599  12.820  14.856  14.308   3588.376301   \n",
       "  2022-04-05  1649116800  14.756  22.811  14.091  16.500  16.432   4315.807736   \n",
       "  2022-04-06  1649203200  16.500  24.024  14.289  18.116  17.725  31520.626062   \n",
       "  2022-04-07  1649289600  18.517  19.303  14.716  15.399  15.671  12279.851051   \n",
       "  2022-04-08  1649376000  15.289  17.345  14.795  14.931  16.032   7250.258721   \n",
       "  2022-04-09  1649462400  15.169  15.390  13.899  14.256  14.279   1474.656854   \n",
       "  2022-04-10  1649548800  14.386  14.515  13.211  13.445  13.643   3576.162526   \n",
       "  2022-04-11  1649635200  13.305  13.318  11.207  11.375  12.090  72436.432566   \n",
       "  2022-04-12  1649721600  11.396  12.726  11.396  12.170  12.071  76308.862754   \n",
       "  2022-04-13  1649808000  12.115  13.306  12.012  12.231  12.702  66925.876924   \n",
       "  2022-04-14  1649894400  12.240  12.353  12.240  12.353  12.320   1671.916250   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-29     92  \n",
       "  2022-03-30    416  \n",
       "  2022-03-31    409  \n",
       "  2022-04-01    986  \n",
       "  2022-04-02     79  \n",
       "  2022-04-03     50  \n",
       "  2022-04-04    116  \n",
       "  2022-04-05    208  \n",
       "  2022-04-06   1598  \n",
       "  2022-04-07    944  \n",
       "  2022-04-08    566  \n",
       "  2022-04-09    109  \n",
       "  2022-04-10    275  \n",
       "  2022-04-11   3884  \n",
       "  2022-04-12   4132  \n",
       "  2022-04-13   3534  \n",
       "  2022-04-14    114  ,\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2020-04-25  1587772800  0.587014  0.602348  0.582716  0.584726  0.590652   \n",
       "  2020-04-26  1587859200  0.585436  0.602657  0.584152  0.600267  0.592199   \n",
       "  2020-04-27  1587945600  0.602192  0.602192  0.581361  0.592061  0.588548   \n",
       "  2020-04-28  1588032000  0.592505  0.599194  0.582485  0.596637  0.591329   \n",
       "  2020-04-29  1588118400  0.601200  0.661679  0.597460  0.633823  0.630459   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800  2.447435  2.599702  2.400002  2.462229  2.467223   \n",
       "  2022-04-11  1649635200  2.462229  2.462229  2.189413  2.189413  2.314859   \n",
       "  2022-04-12  1649721600  2.192621  2.331876  2.178463  2.268834  2.268683   \n",
       "  2022-04-13  1649808000  2.277258  2.297469  2.180000  2.274208  2.225351   \n",
       "  2022-04-14  1649894400  2.280190  2.286112  2.276000  2.286081  2.277388   \n",
       "  \n",
       "                     volume  count  \n",
       "  dtime                             \n",
       "  2020-04-25   14366.504902    103  \n",
       "  2020-04-26   71918.230842    157  \n",
       "  2020-04-27   17973.950883    102  \n",
       "  2020-04-28   23607.813012     88  \n",
       "  2020-04-29   55813.871933    299  \n",
       "  ...                   ...    ...  \n",
       "  2022-04-10   56975.685736    530  \n",
       "  2022-04-11  106384.666050    727  \n",
       "  2022-04-12   75212.710885    503  \n",
       "  2022-04-13  321876.723731    975  \n",
       "  2022-04-14     468.139746     15  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2021-03-03  1614729600  1.9000  2.9500  1.0780  1.0940  1.2712  4.969424e+06   \n",
       "  2021-03-04  1614816000  1.0901  1.1301  1.0200  1.0885  1.0860  2.176098e+06   \n",
       "  2021-03-05  1614902400  1.0885  1.1603  1.0200  1.1007  1.1020  1.388713e+06   \n",
       "  2021-03-06  1614988800  1.1007  1.6000  1.0686  1.3943  1.2928  2.344670e+06   \n",
       "  2021-03-07  1615075200  1.3950  1.6825  1.3103  1.4920  1.5410  6.460376e+06   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  0.5523  0.5630  0.5300  0.5300  0.5460  6.021747e+05   \n",
       "  2022-04-11  1649635200  0.5270  0.5333  0.4693  0.4759  0.5050  1.753579e+06   \n",
       "  2022-04-12  1649721600  0.4778  0.5085  0.4758  0.4979  0.4934  2.660221e+05   \n",
       "  2022-04-13  1649808000  0.4991  0.5134  0.4892  0.5070  0.5039  1.743701e+05   \n",
       "  2022-04-14  1649894400  0.5087  0.5114  0.5087  0.5114  0.5111  1.744371e+03   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-03-03   7765  \n",
       "  2021-03-04   3983  \n",
       "  2021-03-05   2411  \n",
       "  2021-03-06   4430  \n",
       "  2021-03-07  14940  \n",
       "  ...           ...  \n",
       "  2022-04-10    293  \n",
       "  2022-04-11    766  \n",
       "  2022-04-12    255  \n",
       "  2022-04-13    164  \n",
       "  2022-04-14      4  \n",
       "  \n",
       "  [408 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-07-13  1626134400  0.6938  0.7393  0.6938  0.7393  0.7064   34406.217283   \n",
       "  2021-07-14  1626220800  0.7254  0.8461  0.6760  0.8194  0.7840  140085.771365   \n",
       "  2021-07-15  1626307200  0.8089  0.9512  0.8009  0.9318  0.8811  409838.282278   \n",
       "  2021-07-16  1626393600  0.9200  0.9200  0.7409  0.7409  0.8103   98288.490564   \n",
       "  2021-07-17  1626480000  0.7409  0.7731  0.7063  0.7095  0.7406  108956.005691   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  0.6063  0.6126  0.5593  0.5593  0.5862  204810.792441   \n",
       "  2022-04-11  1649635200  0.5590  0.5590  0.4760  0.4760  0.5038  105632.946208   \n",
       "  2022-04-12  1649721600  0.4828  0.4897  0.4442  0.4621  0.4733   49089.916134   \n",
       "  2022-04-13  1649808000  0.4602  0.4941  0.4589  0.4829  0.4760   12667.669896   \n",
       "  2022-04-14  1649894400  0.4829  0.4829  0.4829  0.4829  0.0000       0.000000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-07-13     57  \n",
       "  2021-07-14    290  \n",
       "  2021-07-15    588  \n",
       "  2021-07-16    191  \n",
       "  2021-07-17    142  \n",
       "  ...           ...  \n",
       "  2022-04-10    261  \n",
       "  2022-04-11    150  \n",
       "  2022-04-12    106  \n",
       "  2022-04-13     52  \n",
       "  2022-04-14      0  \n",
       "  \n",
       "  [276 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2020-04-25  1587772800  0.620205  0.633166  0.609462  0.628678  0.625626   \n",
       "  2020-04-26  1587859200  0.631874  0.658682  0.628396  0.657700  0.642936   \n",
       "  2020-04-27  1587945600  0.663728  0.688304  0.645794  0.653744  0.665215   \n",
       "  2020-04-28  1588032000  0.662006  0.675188  0.647791  0.664958  0.662027   \n",
       "  2020-04-29  1588118400  0.671701  0.769129  0.665824  0.762575  0.733701   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800  4.856220  4.920514  4.702975  4.703928  4.810851   \n",
       "  2022-04-11  1649635200  4.697615  4.697615  4.183294  4.221142  4.418937   \n",
       "  2022-04-12  1649721600  4.236818  4.580433  4.200067  4.427852  4.443641   \n",
       "  2022-04-13  1649808000  4.451811  4.668440  4.402959  4.643082  4.638734   \n",
       "  2022-04-14  1649894400  4.631853  4.724533  4.631853  4.724533  4.691465   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25   6915.111930     44  \n",
       "  2020-04-26   9823.432100     58  \n",
       "  2020-04-27   6952.616821     54  \n",
       "  2020-04-28   1898.057022     17  \n",
       "  2020-04-29  21358.736368    129  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10   5933.353079     97  \n",
       "  2022-04-11  65677.997540    468  \n",
       "  2022-04-12  51898.810526    364  \n",
       "  2022-04-13  71173.266996    285  \n",
       "  2022-04-14    450.842911     12  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2022-03-14  1647216000  2.022  2.231  1.927  2.001  2.043  28688.037541    501\n",
       "  2022-03-15  1647302400  2.032  2.124  1.927  1.953  1.987  18549.641036    313\n",
       "  2022-03-16  1647388800  2.027  2.590  1.920  2.090  2.019  28272.840844    537\n",
       "  2022-03-17  1647475200  2.071  2.182  2.049  2.093  2.098  21359.764076    340\n",
       "  2022-03-18  1647561600  2.091  2.163  2.016  2.156  2.065  14681.998651    265\n",
       "  2022-03-19  1647648000  2.137  2.380  2.022  2.142  2.140  36042.441503    755\n",
       "  2022-03-20  1647734400  2.133  2.211  2.096  2.138  2.137  21851.609627    402\n",
       "  2022-03-21  1647820800  2.132  2.268  2.089  2.145  2.140   7613.665761    138\n",
       "  2022-03-22  1647907200  2.138  2.169  2.070  2.160  2.123   8164.958170    130\n",
       "  2022-03-23  1647993600  2.158  2.189  2.080  2.163  2.144  16146.422329    276\n",
       "  2022-03-24  1648080000  2.166  2.500  2.164  2.289  2.302  28411.563522    415\n",
       "  2022-03-25  1648166400  2.268  2.408  2.194  2.247  2.277  24020.875116    337\n",
       "  2022-03-26  1648252800  2.257  2.718  2.206  2.278  2.360  33274.066921    478\n",
       "  2022-03-27  1648339200  2.265  2.372  2.220  2.301  2.269  16445.373869    292\n",
       "  2022-03-28  1648425600  2.283  2.395  2.263  2.275  2.335  21937.315644    364\n",
       "  2022-03-29  1648512000  2.313  2.448  2.127  2.327  2.281  98408.081062   1204\n",
       "  2022-03-30  1648598400  2.439  2.613  2.270  2.394  2.378  32766.615293    490\n",
       "  2022-03-31  1648684800  2.382  2.578  2.240  2.313  2.332  30183.155585    459\n",
       "  2022-04-01  1648771200  2.305  2.417  2.276  2.381  2.345  15279.902845    256\n",
       "  2022-04-02  1648857600  2.415  2.517  2.348  2.406  2.424   8783.928903    176\n",
       "  2022-04-03  1648944000  2.406  2.427  2.369  2.416  2.396   9996.011150    232\n",
       "  2022-04-04  1649030400  2.409  2.409  2.309  2.310  2.363   4280.828848     59\n",
       "  2022-04-05  1649116800  2.337  2.387  2.215  2.215  2.275  13667.668142     96\n",
       "  2022-04-06  1649203200  2.254  2.254  2.099  2.107  2.200  14349.584067    263\n",
       "  2022-04-07  1649289600  2.069  2.151  2.050  2.088  2.090   6238.605734    127\n",
       "  2022-04-08  1649376000  2.107  2.167  1.959  1.977  2.028   7630.851722    131\n",
       "  2022-04-09  1649462400  1.985  2.019  1.952  1.980  1.983   6949.827487    100\n",
       "  2022-04-10  1649548800  2.005  2.068  1.980  2.026  2.004  11954.868145    164\n",
       "  2022-04-11  1649635200  2.012  2.038  1.866  1.910  1.939  15496.515290    213\n",
       "  2022-04-12  1649721600  1.878  1.940  1.801  1.898  1.898   8003.134381    163\n",
       "  2022-04-13  1649808000  1.893  1.976  1.821  1.932  1.892  10678.219151    147\n",
       "  2022-04-14  1649894400  1.932  1.932  1.932  1.932  0.000      0.000000      0,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-06-02  1591056000  0.32000  0.33000  0.19850  0.20334  0.21388   \n",
       "  2020-06-03  1591142400  0.19856  0.20805  0.19711  0.20111  0.20057   \n",
       "  2020-06-04  1591228800  0.20138  0.20997  0.14000  0.20144  0.19694   \n",
       "  2020-06-05  1591315200  0.20192  0.20999  0.19590  0.19945  0.20209   \n",
       "  2020-06-06  1591401600  0.19941  0.20081  0.19693  0.19898  0.19886   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.28169  0.29312  0.26612  0.26628  0.27914   \n",
       "  2022-04-11  1649635200  0.26600  0.26775  0.21825  0.24235  0.24125   \n",
       "  2022-04-12  1649721600  0.24229  0.25075  0.23655  0.24530  0.24127   \n",
       "  2022-04-13  1649808000  0.24359  0.25488  0.24189  0.25018  0.24949   \n",
       "  2022-04-14  1649894400  0.25083  0.25083  0.25034  0.25034  0.25043   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-06-02  1.038133e+06    834  \n",
       "  2020-06-03  4.343968e+05    472  \n",
       "  2020-06-04  4.593771e+05    365  \n",
       "  2020-06-05  3.677983e+05    245  \n",
       "  2020-06-06  4.583646e+04     55  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  1.188586e+06   1080  \n",
       "  2022-04-11  2.692890e+06   1127  \n",
       "  2022-04-12  1.189613e+06    665  \n",
       "  2022-04-13  2.457178e+05    344  \n",
       "  2022-04-14  2.999038e+03      4  \n",
       "  \n",
       "  [682 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-09-28  1632787200  3.000  3.880  1.973  2.164  2.095  255654.311709   \n",
       "  2021-09-29  1632873600  2.154  2.286  2.108  2.222  2.219  238550.328132   \n",
       "  2021-09-30  1632960000  2.222  2.263  2.194  2.223  2.218   52817.065290   \n",
       "  2021-10-01  1633046400  2.230  2.433  2.212  2.376  2.320  103962.569907   \n",
       "  2021-10-02  1633132800  2.381  2.800  2.326  2.405  2.398  127450.907947   \n",
       "  ...                ...    ...    ...    ...    ...    ...            ...   \n",
       "  2022-04-10  1649548800  0.285  0.288  0.267  0.267  0.277   84860.031751   \n",
       "  2022-04-11  1649635200  0.272  0.272  0.249  0.252  0.259   98635.361360   \n",
       "  2022-04-12  1649721600  0.248  0.274  0.246  0.268  0.263   22629.895421   \n",
       "  2022-04-13  1649808000  0.265  0.271  0.262  0.269  0.266   28970.599585   \n",
       "  2022-04-14  1649894400  0.269  0.272  0.269  0.272  0.270   14029.121243   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-09-28   1513  \n",
       "  2021-09-29   2074  \n",
       "  2021-09-30    500  \n",
       "  2021-10-01    726  \n",
       "  2021-10-02    851  \n",
       "  ...           ...  \n",
       "  2022-04-10    186  \n",
       "  2022-04-11    129  \n",
       "  2022-04-12    105  \n",
       "  2022-04-13     97  \n",
       "  2022-04-14     30  \n",
       "  \n",
       "  [199 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800  1727.59  1746.44  1727.59  1729.09  1735.12   \n",
       "  2020-04-26  1587859200  1729.08  1739.25  1724.26  1729.34  1731.92   \n",
       "  2020-04-27  1587945600  1727.50  1737.33  1715.16  1720.52  1728.45   \n",
       "  2020-04-28  1588032000  1718.16  1727.00  1705.69  1714.04  1716.95   \n",
       "  2020-04-29  1588118400  1714.04  1724.39  1705.04  1718.99  1719.14   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  1951.45  1953.32  1943.84  1944.11  1947.82   \n",
       "  2022-04-11  1649635200  1944.00  1973.16  1940.00  1954.53  1949.07   \n",
       "  2022-04-12  1649721600  1954.14  1982.06  1951.05  1962.05  1965.03   \n",
       "  2022-04-13  1649808000  1962.05  1980.87  1960.00  1976.00  1971.27   \n",
       "  2022-04-14  1649894400  1976.66  1976.66  1975.75  1975.76  1975.75   \n",
       "  \n",
       "                   volume  count  \n",
       "  dtime                           \n",
       "  2020-04-25    39.386578    246  \n",
       "  2020-04-26    36.589456    247  \n",
       "  2020-04-27    99.257764    485  \n",
       "  2020-04-28    48.545193    399  \n",
       "  2020-04-29    77.479574    716  \n",
       "  ...                 ...    ...  \n",
       "  2022-04-10    43.653193    205  \n",
       "  2022-04-11  1482.563383   1947  \n",
       "  2022-04-12   591.863038    781  \n",
       "  2022-04-13  1324.108120    954  \n",
       "  2022-04-14    76.885536     12  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2021-07-13  1626134400  8.018  8.503  7.486  7.486  7.851   4095.114386     64\n",
       "  2021-07-14  1626220800  7.507  8.353  7.209  8.102  7.743   5630.612690     59\n",
       "  2021-07-15  1626307200  8.011  8.094  7.394  7.975  7.780   4812.662982     51\n",
       "  2021-07-16  1626393600  8.211  8.667  7.506  7.506  8.056   9296.854280    119\n",
       "  2021-07-17  1626480000  7.403  8.383  7.340  8.191  7.897   2258.442949     40\n",
       "  ...                ...    ...    ...    ...    ...    ...           ...    ...\n",
       "  2022-04-10  1649548800  4.546  4.651  4.526  4.543  4.609  11082.320182     59\n",
       "  2022-04-11  1649635200  4.531  4.531  4.046  4.046  4.251  23003.740753    127\n",
       "  2022-04-12  1649721600  4.061  4.216  4.061  4.169  4.150  15354.013272     60\n",
       "  2022-04-13  1649808000  4.174  4.263  4.100  4.263  4.198  11303.683292     67\n",
       "  2022-04-14  1649894400  4.270  4.300  4.270  4.300  4.296    491.344065      5\n",
       "  \n",
       "  [276 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open    high    low  close   vwap        volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-10-08  1633651200  0.910  11.456  0.800  0.867  0.992  2.675608e+06   \n",
       "  2021-10-09  1633737600  0.867   1.050  0.791  0.877  0.896  1.824295e+06   \n",
       "  2021-10-10  1633824000  0.877   0.888  0.811  0.812  0.840  5.248025e+05   \n",
       "  2021-10-11  1633910400  0.813   0.855  0.753  0.793  0.797  1.392345e+06   \n",
       "  2021-10-12  1633996800  0.793   0.794  0.739  0.763  0.754  3.784195e+05   \n",
       "  ...                ...    ...     ...    ...    ...    ...           ...   \n",
       "  2022-04-10  1649548800  0.300   0.331  0.297  0.306  0.315  4.605761e+05   \n",
       "  2022-04-11  1649635200  0.303   0.311  0.268  0.269  0.286  1.566549e+05   \n",
       "  2022-04-12  1649721600  0.271   0.286  0.271  0.279  0.280  1.320447e+05   \n",
       "  2022-04-13  1649808000  0.279   0.281  0.269  0.277  0.277  6.614156e+04   \n",
       "  2022-04-14  1649894400  0.277   0.278  0.276  0.277  0.277  6.494210e+03   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-10-08   3264  \n",
       "  2021-10-09   2378  \n",
       "  2021-10-10    493  \n",
       "  2021-10-11    992  \n",
       "  2021-10-12    395  \n",
       "  ...           ...  \n",
       "  2022-04-10    744  \n",
       "  2022-04-11    203  \n",
       "  2022-04-12    126  \n",
       "  2022-04-13    130  \n",
       "  2022-04-14      8  \n",
       "  \n",
       "  [189 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open      high     low   close    vwap  \\\n",
       "  dtime                                                               \n",
       "  2022-03-29  1648512000  17.1000  117.1000  1.1000  1.2690  1.3168   \n",
       "  2022-03-30  1648598400   1.2689    1.8000  1.1004  1.3800  1.2037   \n",
       "  2022-03-31  1648684800   1.3800    1.6799  1.1525  1.2924  1.2769   \n",
       "  2022-04-01  1648771200   1.1871    1.2924  1.1194  1.1695  1.1601   \n",
       "  2022-04-02  1648857600   1.1850    1.2027  1.1539  1.1815  1.1848   \n",
       "  2022-04-03  1648944000   1.1927    1.1927  1.1405  1.1549  1.1567   \n",
       "  2022-04-04  1649030400   1.1668    1.1683  1.0702  1.1138  1.1001   \n",
       "  2022-04-05  1649116800   1.1039    1.1113  1.0693  1.0753  1.0874   \n",
       "  2022-04-06  1649203200   1.0568    1.0568  0.9421  0.9443  0.9714   \n",
       "  2022-04-07  1649289600   0.9355    0.9894  0.9183  0.9894  0.9543   \n",
       "  2022-04-08  1649376000   0.9818    1.0032  0.9374  0.9374  0.9707   \n",
       "  2022-04-09  1649462400   0.9613    0.9903  0.9500  0.9660  0.9681   \n",
       "  2022-04-10  1649548800   0.9600    0.9633  0.9323  0.9323  0.9417   \n",
       "  2022-04-11  1649635200   0.9468    0.9719  0.8349  0.8427  0.9195   \n",
       "  2022-04-12  1649721600   0.8400    0.8996  0.8400  0.8751  0.8754   \n",
       "  2022-04-13  1649808000   0.8814    0.9318  0.8407  0.9138  0.9089   \n",
       "  2022-04-14  1649894400   0.9381    0.9759  0.9381  0.9654  0.9614   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2022-03-29  33790.014037    285  \n",
       "  2022-03-30  79711.006806    624  \n",
       "  2022-03-31  41904.060902    306  \n",
       "  2022-04-01  25609.488117    218  \n",
       "  2022-04-02  16655.830455     83  \n",
       "  2022-04-03   3738.820805     33  \n",
       "  2022-04-04  24741.987688     68  \n",
       "  2022-04-05   5521.021658     44  \n",
       "  2022-04-06  18211.297631     66  \n",
       "  2022-04-07   8244.585115     59  \n",
       "  2022-04-08  14408.080584     62  \n",
       "  2022-04-09    697.257939     30  \n",
       "  2022-04-10   7590.524688     32  \n",
       "  2022-04-11  31476.840529     71  \n",
       "  2022-04-12   2488.103657     41  \n",
       "  2022-04-13   7255.788148     38  \n",
       "  2022-04-14   1368.765028     16  ,\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap       volume  count\n",
       "  dtime                                                                        \n",
       "  2022-03-14  1647216000  1.394  1.427  1.364  1.369  1.389   254.108253      7\n",
       "  2022-03-15  1647302400  1.438  1.438  1.342  1.408  1.408   364.821546      8\n",
       "  2022-03-16  1647388800  1.344  1.438  1.344  1.370  1.379  2095.288319     13\n",
       "  2022-03-17  1647475200  1.431  1.784  1.372  1.378  1.482  3316.847789     38\n",
       "  2022-03-18  1647561600  1.374  1.450  1.341  1.447  1.389   597.730026     30\n",
       "  2022-03-19  1647648000  1.476  1.785  1.476  1.728  1.669  5644.637823     96\n",
       "  2022-03-20  1647734400  1.668  1.717  1.604  1.604  1.653  1770.963125     15\n",
       "  2022-03-21  1647820800  1.567  1.668  1.567  1.668  1.590  1216.956013     19\n",
       "  2022-03-22  1647907200  1.668  1.717  1.668  1.717  1.696   450.287442      8\n",
       "  2022-03-23  1647993600  1.702  1.770  1.650  1.707  1.728   206.893674      8\n",
       "  2022-03-24  1648080000  1.885  1.918  1.802  1.802  1.847  2234.843668     37\n",
       "  2022-03-25  1648166400  1.857  1.904  1.737  1.820  1.820  2031.746118     41\n",
       "  2022-03-26  1648252800  1.785  1.803  1.711  1.766  1.754   334.472349     18\n",
       "  2022-03-27  1648339200  1.767  1.836  1.694  1.794  1.722  5667.919257     53\n",
       "  2022-03-28  1648425600  1.801  1.909  1.801  1.827  1.842  2046.208637     21\n",
       "  2022-03-29  1648512000  1.831  1.988  1.825  1.985  1.892  2987.149312     29\n",
       "  2022-03-30  1648598400  1.927  2.044  1.878  1.936  1.945  6277.504749     40\n",
       "  2022-03-31  1648684800  1.999  2.055  1.869  1.893  1.954  1552.645587     18\n",
       "  2022-04-01  1648771200  1.925  2.140  1.910  2.140  2.026  2606.477610     35\n",
       "  2022-04-02  1648857600  2.160  2.261  1.976  1.976  2.095  3872.963701     33\n",
       "  2022-04-03  1648944000  1.976  2.065  1.970  2.047  2.005  1675.778266     16\n",
       "  2022-04-04  1649030400  1.993  1.993  1.850  1.921  1.891   333.124878     12\n",
       "  2022-04-05  1649116800  1.932  1.945  1.900  1.909  1.904  3621.488426     50\n",
       "  2022-04-06  1649203200  1.863  1.959  1.717  1.717  1.815  3120.242148     35\n",
       "  2022-04-07  1649289600  1.773  1.796  1.696  1.715  1.743   461.704437     14\n",
       "  2022-04-08  1649376000  1.781  1.781  1.638  1.638  1.710  1309.002584     15\n",
       "  2022-04-09  1649462400  1.690  1.690  1.595  1.628  1.606  2800.245219     17\n",
       "  2022-04-10  1649548800  1.637  1.683  1.578  1.640  1.646  1299.087731     36\n",
       "  2022-04-11  1649635200  1.597  1.673  1.500  1.562  1.546   746.634664     29\n",
       "  2022-04-12  1649721600  1.500  1.563  1.470  1.519  1.528   832.045471     23\n",
       "  2022-04-13  1649808000  1.519  1.562  1.490  1.562  1.549   227.459656     13\n",
       "  2022-04-14  1649894400  1.562  1.562  1.562  1.562  0.000     0.000000      0,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-29  1648512000  0.6000  5.0000  0.5769  0.6927  0.6080  21692.250940   \n",
       "  2022-03-30  1648598400  0.6400  0.6813  0.5355  0.5846  0.6034  39804.685274   \n",
       "  2022-03-31  1648684800  0.6209  0.6324  0.5535  0.6323  0.6081   6346.755590   \n",
       "  2022-04-01  1648771200  0.6323  0.6450  0.5720  0.6378  0.6048  16969.617475   \n",
       "  2022-04-02  1648857600  0.6377  0.6911  0.6166  0.6409  0.6631  38295.306480   \n",
       "  2022-04-03  1648944000  0.6369  0.6449  0.6166  0.6262  0.6308  15910.317188   \n",
       "  2022-04-04  1649030400  0.6200  0.6233  0.5786  0.5961  0.5980   9394.388282   \n",
       "  2022-04-05  1649116800  0.5980  0.6103  0.5767  0.5955  0.5978  25934.388066   \n",
       "  2022-04-06  1649203200  0.5862  0.5862  0.5287  0.5446  0.5471  24863.141352   \n",
       "  2022-04-07  1649289600  0.5186  0.5509  0.5185  0.5481  0.5413  12610.938891   \n",
       "  2022-04-08  1649376000  0.5435  0.5543  0.5255  0.5255  0.5431  12868.424764   \n",
       "  2022-04-09  1649462400  0.5323  0.5413  0.5267  0.5362  0.5350   4142.502333   \n",
       "  2022-04-10  1649548800  0.5389  0.5457  0.5250  0.5457  0.5391   4385.189762   \n",
       "  2022-04-11  1649635200  0.5245  0.5245  0.4808  0.4808  0.4912   4576.281465   \n",
       "  2022-04-12  1649721600  0.4890  0.6038  0.4890  0.5105  0.5134  12959.641250   \n",
       "  2022-04-13  1649808000  0.5163  0.5308  0.5050  0.5283  0.5184  19217.363165   \n",
       "  2022-04-14  1649894400  0.5283  0.5283  0.5283  0.5283  0.0000      0.000000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-29    106  \n",
       "  2022-03-30    246  \n",
       "  2022-03-31     73  \n",
       "  2022-04-01    187  \n",
       "  2022-04-02    205  \n",
       "  2022-04-03     59  \n",
       "  2022-04-04     43  \n",
       "  2022-04-05     58  \n",
       "  2022-04-06     85  \n",
       "  2022-04-07     31  \n",
       "  2022-04-08     38  \n",
       "  2022-04-09     19  \n",
       "  2022-04-10     15  \n",
       "  2022-04-11     31  \n",
       "  2022-04-12     72  \n",
       "  2022-04-13     27  \n",
       "  2022-04-14      0  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-14  1647216000  0.6806  0.6828  0.6164  0.6650  0.6594   5184.367874   \n",
       "  2022-03-15  1647302400  0.6609  0.6707  0.6177  0.6396  0.6538   6377.413093   \n",
       "  2022-03-16  1647388800  0.6394  0.9053  0.6394  0.7355  0.7252  24449.311721   \n",
       "  2022-03-17  1647475200  0.7333  0.9053  0.6802  0.6802  0.7610  10548.066375   \n",
       "  2022-03-18  1647561600  0.7427  0.7427  0.7131  0.7294  0.7204  19609.145959   \n",
       "  2022-03-19  1647648000  0.7452  0.7452  0.7216  0.7265  0.7318   4399.303571   \n",
       "  2022-03-20  1647734400  0.7307  0.7348  0.6625  0.7051  0.7249   3277.790787   \n",
       "  2022-03-21  1647820800  0.7017  0.7069  0.6835  0.6854  0.6949   5425.787522   \n",
       "  2022-03-22  1647907200  0.6804  0.7270  0.6804  0.7007  0.7227  11273.260938   \n",
       "  2022-03-23  1647993600  0.6969  0.7201  0.6955  0.7198  0.6992   1918.891200   \n",
       "  2022-03-24  1648080000  0.7057  0.7057  0.6672  0.6817  0.6746  36873.499711   \n",
       "  2022-03-25  1648166400  0.6793  0.6960  0.6461  0.6678  0.6788  20096.009947   \n",
       "  2022-03-26  1648252800  0.6630  0.6962  0.6628  0.6764  0.6804  25873.781396   \n",
       "  2022-03-27  1648339200  0.6701  0.6820  0.6459  0.6820  0.6683   6406.412660   \n",
       "  2022-03-28  1648425600  0.6820  0.7450  0.6746  0.7140  0.7086  37929.051467   \n",
       "  2022-03-29  1648512000  0.7429  0.7429  0.6631  0.6631  0.7334   7503.292369   \n",
       "  2022-03-30  1648598400  0.6993  0.8021  0.6835  0.7100  0.7128   5802.554921   \n",
       "  2022-03-31  1648684800  0.7218  0.7227  0.6960  0.6963  0.7138   6197.922734   \n",
       "  2022-04-01  1648771200  0.6863  0.7894  0.6799  0.7649  0.7379  89317.684380   \n",
       "  2022-04-02  1648857600  0.7637  0.7876  0.7499  0.7499  0.7711  15411.776320   \n",
       "  2022-04-03  1648944000  0.7423  0.7423  0.7145  0.7274  0.7251   7684.165664   \n",
       "  2022-04-04  1649030400  0.7316  0.7316  0.7100  0.7100  0.7185   9935.188088   \n",
       "  2022-04-05  1649116800  0.7112  0.7400  0.7112  0.7172  0.7324   7769.448383   \n",
       "  2022-04-06  1649203200  0.7158  0.7158  0.6619  0.6619  0.7023  11410.773171   \n",
       "  2022-04-07  1649289600  0.6884  0.7462  0.6723  0.7462  0.6927   4929.985372   \n",
       "  2022-04-08  1649376000  0.7520  0.7520  0.7014  0.7519  0.7074  20372.728248   \n",
       "  2022-04-09  1649462400  0.7059  0.8929  0.7049  0.7581  0.7684  12356.472345   \n",
       "  2022-04-10  1649548800  0.7578  0.8854  0.7345  0.8208  0.7665  11064.853891   \n",
       "  2022-04-11  1649635200  0.7405  0.9128  0.7147  0.7175  0.7492   8951.516020   \n",
       "  2022-04-12  1649721600  0.7114  0.7163  0.6835  0.6906  0.6993   4595.061344   \n",
       "  2022-04-13  1649808000  0.6768  0.7080  0.6215  0.6763  0.6624   2388.219599   \n",
       "  2022-04-14  1649894400  0.6763  0.6763  0.6763  0.6763  0.0000      0.000000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14     46  \n",
       "  2022-03-15     17  \n",
       "  2022-03-16     91  \n",
       "  2022-03-17     62  \n",
       "  2022-03-18     46  \n",
       "  2022-03-19     20  \n",
       "  2022-03-20     11  \n",
       "  2022-03-21     19  \n",
       "  2022-03-22     24  \n",
       "  2022-03-23     12  \n",
       "  2022-03-24     53  \n",
       "  2022-03-25     34  \n",
       "  2022-03-26     28  \n",
       "  2022-03-27     24  \n",
       "  2022-03-28     54  \n",
       "  2022-03-29     20  \n",
       "  2022-03-30     29  \n",
       "  2022-03-31     21  \n",
       "  2022-04-01    102  \n",
       "  2022-04-02     24  \n",
       "  2022-04-03     25  \n",
       "  2022-04-04     18  \n",
       "  2022-04-05     19  \n",
       "  2022-04-06     15  \n",
       "  2022-04-07     16  \n",
       "  2022-04-08     28  \n",
       "  2022-04-09     84  \n",
       "  2022-04-10     55  \n",
       "  2022-04-11     60  \n",
       "  2022-04-12     25  \n",
       "  2022-04-13     23  \n",
       "  2022-04-14      0  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap       volume  \\\n",
       "  dtime                                                                         \n",
       "  2022-03-29  1648512000  164.99  199.00  143.58  152.00  150.94   269.626107   \n",
       "  2022-03-30  1648598400  152.00  152.00  141.06  144.75  144.77   331.072195   \n",
       "  2022-03-31  1648684800  144.75  156.90  135.98  138.90  147.18   527.965352   \n",
       "  2022-04-01  1648771200  137.00  155.88  136.01  143.00  145.37   233.600050   \n",
       "  2022-04-02  1648857600  142.00  177.00  140.05  140.80  146.67   406.668023   \n",
       "  2022-04-03  1648944000  141.00  142.34  138.46  141.85  140.73   450.567915   \n",
       "  2022-04-04  1649030400  137.55  153.00  132.00  139.94  136.76   384.868628   \n",
       "  2022-04-05  1649116800  138.95  149.09  134.04  134.68  139.37   580.710194   \n",
       "  2022-04-06  1649203200  132.75  142.33  124.31  127.29  132.37   266.318744   \n",
       "  2022-04-07  1649289600  124.93  139.00  120.00  134.75  129.01  1670.770153   \n",
       "  2022-04-08  1649376000  134.75  136.50  122.02  122.59  128.13    97.931782   \n",
       "  2022-04-09  1649462400  123.39  124.01  118.48  122.14  121.54   449.472355   \n",
       "  2022-04-10  1649548800  122.26  128.65  121.84  122.10  124.94   217.962726   \n",
       "  2022-04-11  1649635200  121.30  127.59  112.97  115.52  118.97   170.729747   \n",
       "  2022-04-12  1649721600  116.32  126.98  112.96  115.50  116.83   248.706108   \n",
       "  2022-04-13  1649808000  116.75  124.24  113.47  115.67  117.69   250.450989   \n",
       "  2022-04-14  1649894400  115.60  117.35  115.60  117.35  116.29     3.723818   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-29     81  \n",
       "  2022-03-30    137  \n",
       "  2022-03-31    148  \n",
       "  2022-04-01     99  \n",
       "  2022-04-02    163  \n",
       "  2022-04-03     72  \n",
       "  2022-04-04     92  \n",
       "  2022-04-05    142  \n",
       "  2022-04-06    120  \n",
       "  2022-04-07    298  \n",
       "  2022-04-08     43  \n",
       "  2022-04-09     77  \n",
       "  2022-04-10     72  \n",
       "  2022-04-11    138  \n",
       "  2022-04-12    128  \n",
       "  2022-04-13    178  \n",
       "  2022-04-14      9  ,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800  1.41630  1.54016  1.41133  1.48127  1.49935   \n",
       "  2020-04-26  1587859200  1.49796  1.56004  1.47787  1.52386  1.53043   \n",
       "  2020-04-27  1587945600  1.53930  1.54811  1.45501  1.50669  1.50507   \n",
       "  2020-04-28  1588032000  1.47997  1.52674  1.47997  1.52100  1.50651   \n",
       "  2020-04-29  1588118400  1.53496  1.65515  1.53027  1.61572  1.60903   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  7.07658  7.16827  6.80956  6.80956  7.00246   \n",
       "  2022-04-11  1649635200  6.82386  6.87825  6.07517  6.16919  6.47161   \n",
       "  2022-04-12  1649721600  6.21227  6.55783  6.13221  6.44545  6.34126   \n",
       "  2022-04-13  1649808000  6.44887  6.75390  6.35840  6.74375  6.55092   \n",
       "  2022-04-14  1649894400  6.76020  6.87737  6.75702  6.86898  6.82682   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  28313.875880    158  \n",
       "  2020-04-26  11834.208903    132  \n",
       "  2020-04-27  27439.065547    168  \n",
       "  2020-04-28   3071.856714     67  \n",
       "  2020-04-29  26995.886864    345  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10   5355.471265    358  \n",
       "  2022-04-11  22020.160468    460  \n",
       "  2022-04-12  14022.156027    306  \n",
       "  2022-04-13   7040.122556    209  \n",
       "  2022-04-14    586.615184     26  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2022-03-29  1648512000  2.1048  2.1048  0.6023  0.6750  0.7019  138193.416897   \n",
       "  2022-03-30  1648598400  0.6750  0.7284  0.6406  0.6554  0.6819  159676.850258   \n",
       "  2022-03-31  1648684800  0.6871  0.7337  0.6302  0.6302  0.6699   98492.183562   \n",
       "  2022-04-01  1648771200  0.6550  0.6700  0.6092  0.6321  0.6342   37123.635499   \n",
       "  2022-04-02  1648857600  0.6321  0.9800  0.6300  0.7153  0.7760  273646.752044   \n",
       "  2022-04-03  1648944000  0.7243  0.7899  0.6800  0.7186  0.7033   60406.560780   \n",
       "  2022-04-04  1649030400  0.7048  0.7200  0.6468  0.6702  0.6766   33871.386410   \n",
       "  2022-04-05  1649116800  0.7181  0.7181  0.6101  0.6370  0.6553   96410.289994   \n",
       "  2022-04-06  1649203200  0.6350  0.6463  0.5744  0.5944  0.6183  153226.568268   \n",
       "  2022-04-07  1649289600  0.5816  0.5974  0.5468  0.5817  0.5738   12247.550020   \n",
       "  2022-04-08  1649376000  0.5816  0.6270  0.5563  0.5563  0.5844   54775.964420   \n",
       "  2022-04-09  1649462400  0.5622  0.5789  0.5500  0.5709  0.5623    2716.610069   \n",
       "  2022-04-10  1649548800  0.5698  0.7630  0.5591  0.6700  0.6988  417596.605930   \n",
       "  2022-04-11  1649635200  0.6700  0.6941  0.5654  0.5777  0.6116  258877.847361   \n",
       "  2022-04-12  1649721600  0.5923  0.6399  0.5738  0.6057  0.6063   58118.625665   \n",
       "  2022-04-13  1649808000  0.6057  0.6098  0.5756  0.6000  0.5905   22027.177705   \n",
       "  2022-04-14  1649894400  0.6000  0.6304  0.5892  0.6078  0.6103    8132.922805   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-29    713  \n",
       "  2022-03-30    944  \n",
       "  2022-03-31    471  \n",
       "  2022-04-01    203  \n",
       "  2022-04-02   1454  \n",
       "  2022-04-03    278  \n",
       "  2022-04-04    183  \n",
       "  2022-04-05    370  \n",
       "  2022-04-06    335  \n",
       "  2022-04-07     65  \n",
       "  2022-04-08    130  \n",
       "  2022-04-09     38  \n",
       "  2022-04-10    947  \n",
       "  2022-04-11    737  \n",
       "  2022-04-12    241  \n",
       "  2022-04-13     90  \n",
       "  2022-04-14     35  ,\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2021-05-17  1621209600  20.99  20.99  15.00  15.68  16.67   8230.988305    415\n",
       "  2021-05-18  1621296000  15.70  50.00  15.70  19.95  23.66  59801.425201   3469\n",
       "  2021-05-19  1621382400  19.94  23.00  11.00  12.31  16.30  43091.094182   1805\n",
       "  2021-05-20  1621468800  12.47  16.99  11.71  13.61  14.15  14722.082665    853\n",
       "  2021-05-21  1621555200  13.80  14.90  10.49  12.40  13.00  12588.716969    791\n",
       "  ...                ...    ...    ...    ...    ...    ...           ...    ...\n",
       "  2022-04-10  1649548800   8.16   8.33   7.99   8.11   8.08   1773.731771     80\n",
       "  2022-04-11  1649635200   8.04   8.18   7.35   7.35   7.66  10013.991841    226\n",
       "  2022-04-12  1649721600   7.35   8.39   7.20   7.48   7.79   8159.942165    254\n",
       "  2022-04-13  1649808000   7.62   7.89   7.40   7.82   7.65   2528.831058    104\n",
       "  2022-04-14  1649894400   7.82   7.82   7.82   7.82   0.00      0.000000      0\n",
       "  \n",
       "  [333 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2021-09-28  1632787200  12.000  12.000   9.094   9.113   9.398  41420.795082   \n",
       "  2021-09-29  1632873600   9.272   9.570   8.950   9.141   9.345  22484.350780   \n",
       "  2021-09-30  1632960000   9.174   9.615   9.168   9.576   9.458  10350.349911   \n",
       "  2021-10-01  1633046400   9.660  11.258   9.408  10.987  10.397  53023.338815   \n",
       "  2021-10-02  1633132800  11.043  12.192  10.601  11.197  11.386  28481.962740   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800   2.964   2.986   2.914   2.951   2.969   2212.592144   \n",
       "  2022-04-11  1649635200   2.883   2.883   2.702   2.719   2.788  14864.547280   \n",
       "  2022-04-12  1649721600   2.728   2.846   2.715   2.715   2.781   1922.221577   \n",
       "  2022-04-13  1649808000   2.757   2.855   2.712   2.824   2.767    483.187449   \n",
       "  2022-04-14  1649894400   2.829   2.829   2.829   2.829   2.829      0.713435   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-09-28    383  \n",
       "  2021-09-29    176  \n",
       "  2021-09-30    115  \n",
       "  2021-10-01    408  \n",
       "  2021-10-02    326  \n",
       "  ...           ...  \n",
       "  2022-04-10     19  \n",
       "  2022-04-11     70  \n",
       "  2022-04-12     16  \n",
       "  2022-04-13     17  \n",
       "  2022-04-14      1  \n",
       "  \n",
       "  [199 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2022-03-29  1648512000  0.79990  0.79990  0.27000  0.29383  0.31264   \n",
       "  2022-03-30  1648598400  0.32839  0.34297  0.24100  0.31749  0.30233   \n",
       "  2022-03-31  1648684800  0.31750  0.33382  0.27385  0.27385  0.29927   \n",
       "  2022-04-01  1648771200  0.27485  0.30502  0.20000  0.30300  0.29044   \n",
       "  2022-04-02  1648857600  0.29306  0.32646  0.29207  0.32646  0.30871   \n",
       "  2022-04-03  1648944000  0.30500  0.35000  0.30093  0.32729  0.32895   \n",
       "  2022-04-04  1649030400  0.31022  0.48800  0.31022  0.38001  0.37768   \n",
       "  2022-04-05  1649116800  0.38436  0.40799  0.35588  0.35636  0.37212   \n",
       "  2022-04-06  1649203200  0.36278  0.36990  0.27624  0.31692  0.32272   \n",
       "  2022-04-07  1649289600  0.30141  0.35671  0.28322  0.32615  0.32157   \n",
       "  2022-04-08  1649376000  0.32615  0.35482  0.32300  0.35144  0.33643   \n",
       "  2022-04-09  1649462400  0.35144  0.35454  0.32300  0.33500  0.34092   \n",
       "  2022-04-10  1649548800  0.33500  0.34150  0.32101  0.33887  0.32754   \n",
       "  2022-04-11  1649635200  0.33638  0.33638  0.27584  0.27718  0.30293   \n",
       "  2022-04-12  1649721600  0.28942  0.31470  0.27527  0.30273  0.30070   \n",
       "  2022-04-13  1649808000  0.30272  0.32997  0.29399  0.31126  0.30572   \n",
       "  2022-04-14  1649894400  0.31105  0.31652  0.30453  0.30826  0.30791   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2022-03-29  3.811775e+05    320  \n",
       "  2022-03-30  3.689116e+05    696  \n",
       "  2022-03-31  3.059744e+05    356  \n",
       "  2022-04-01  1.547481e+05    378  \n",
       "  2022-04-02  3.959242e+04    184  \n",
       "  2022-04-03  4.437465e+04    124  \n",
       "  2022-04-04  3.933383e+05    745  \n",
       "  2022-04-05  1.484315e+05    322  \n",
       "  2022-04-06  2.655852e+05    401  \n",
       "  2022-04-07  1.112644e+05    191  \n",
       "  2022-04-08  1.024032e+05    179  \n",
       "  2022-04-09  3.826509e+04     61  \n",
       "  2022-04-10  3.114235e+04     68  \n",
       "  2022-04-11  9.984316e+04    114  \n",
       "  2022-04-12  9.853561e+04    420  \n",
       "  2022-04-13  1.854262e+06   3753  \n",
       "  2022-04-14  1.577977e+05    300  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-05-14  1620950400  0.9500  1.2052  0.8119  0.9000  0.9226  372908.855351   \n",
       "  2021-05-15  1621036800  0.9038  0.9888  0.7733  0.7733  0.8381  432470.255602   \n",
       "  2021-05-16  1621123200  0.7744  0.8303  0.7227  0.7772  0.7962  204844.118536   \n",
       "  2021-05-17  1621209600  0.7735  0.7735  0.6986  0.7183  0.7270  134101.997086   \n",
       "  2021-05-18  1621296000  0.7255  0.7791  0.7255  0.7504  0.7568  144852.564555   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  0.3992  0.4008  0.3765  0.3766  0.3901   37941.567405   \n",
       "  2022-04-11  1649635200  0.3700  0.3764  0.3179  0.3221  0.3493  167001.109898   \n",
       "  2022-04-12  1649721600  0.3237  0.3495  0.3237  0.3380  0.3406   38792.850368   \n",
       "  2022-04-13  1649808000  0.3365  0.3473  0.3321  0.3450  0.3410   50676.206116   \n",
       "  2022-04-14  1649894400  0.3459  0.3487  0.3459  0.3487  0.3472     113.289927   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-05-14   1316  \n",
       "  2021-05-15   1395  \n",
       "  2021-05-16    287  \n",
       "  2021-05-17    258  \n",
       "  2021-05-18    160  \n",
       "  ...           ...  \n",
       "  2022-04-10    112  \n",
       "  2022-04-11    143  \n",
       "  2022-04-12    106  \n",
       "  2022-04-13     76  \n",
       "  2022-04-14      3  \n",
       "  \n",
       "  [336 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap       volume  \\\n",
       "  dtime                                                                         \n",
       "  2020-08-05  1596585600  29.799  29.899  17.530  21.183  21.319  2686.273356   \n",
       "  2020-08-06  1596672000  21.177  23.800  19.248  20.787  20.979  1108.886087   \n",
       "  2020-08-07  1596758400  20.900  22.999  19.332  21.095  20.914   827.454517   \n",
       "  2020-08-08  1596844800  20.986  21.042  20.621  20.705  20.754   236.310717   \n",
       "  2020-08-09  1596931200  20.900  22.599  20.621  22.599  21.218  1426.166614   \n",
       "  ...                ...     ...     ...     ...     ...     ...          ...   \n",
       "  2022-04-10  1649548800  14.313  14.733  14.167  14.327  14.423   144.657798   \n",
       "  2022-04-11  1649635200  14.277  14.447  12.962  13.100  13.648  1067.965723   \n",
       "  2022-04-12  1649721600  13.175  13.878  12.971  13.343  13.389   695.416113   \n",
       "  2022-04-13  1649808000  13.509  13.997  13.447  13.997  13.751   438.925659   \n",
       "  2022-04-14  1649894400  13.997  14.032  13.997  14.032  14.016     1.558491   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-08-05    332  \n",
       "  2020-08-06    177  \n",
       "  2020-08-07     68  \n",
       "  2020-08-08     65  \n",
       "  2020-08-09    152  \n",
       "  ...           ...  \n",
       "  2022-04-10     32  \n",
       "  2022-04-11    229  \n",
       "  2022-04-12    132  \n",
       "  2022-04-13     60  \n",
       "  2022-04-14      4  \n",
       "  \n",
       "  [618 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2022-04-01  1648771200  3.0226  3.0876  2.9561  2.9561  3.0547    9117.049960   \n",
       "  2022-04-02  1648857600  2.9532  3.2418  2.9532  3.0526  3.1544   35611.470716   \n",
       "  2022-04-03  1648944000  3.0621  3.1584  3.0303  3.0570  3.0904   23394.990583   \n",
       "  2022-04-04  1649030400  3.0306  3.0306  2.7247  2.9105  2.9122   33971.672955   \n",
       "  2022-04-05  1649116800  2.9140  2.9696  2.7956  2.8011  2.8692   60084.534444   \n",
       "  2022-04-06  1649203200  2.8010  2.8010  2.5028  2.5225  2.6488   38048.310467   \n",
       "  2022-04-07  1649289600  2.5128  2.6519  2.4788  2.5800  2.5667   21462.793806   \n",
       "  2022-04-08  1649376000  2.5864  2.5875  2.4188  2.4369  2.5154   44546.346945   \n",
       "  2022-04-09  1649462400  2.4395  2.5066  2.4010  2.5030  2.4746    4518.044924   \n",
       "  2022-04-10  1649548800  2.4948  2.5700  2.4535  2.4690  2.5049    7194.318560   \n",
       "  2022-04-11  1649635200  2.4500  2.4500  2.0216  2.0784  2.1620   91158.475567   \n",
       "  2022-04-12  1649721600  2.0738  2.1477  1.9888  2.0555  2.0509  107400.736198   \n",
       "  2022-04-13  1649808000  2.0475  2.1180  1.9727  2.0874  2.0278   60480.753111   \n",
       "  2022-04-14  1649894400  2.0941  2.0958  2.0941  2.0958  2.0944     473.501907   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-04-01     79  \n",
       "  2022-04-02    298  \n",
       "  2022-04-03    133  \n",
       "  2022-04-04    276  \n",
       "  2022-04-05    206  \n",
       "  2022-04-06    248  \n",
       "  2022-04-07    185  \n",
       "  2022-04-08    213  \n",
       "  2022-04-09     39  \n",
       "  2022-04-10     59  \n",
       "  2022-04-11    387  \n",
       "  2022-04-12    475  \n",
       "  2022-04-13    240  \n",
       "  2022-04-14      5  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-05-20  1621468800  0.3490  0.4007  0.2731  0.3129  0.3085  917055.069723   \n",
       "  2021-05-21  1621555200  0.3166  0.5000  0.2379  0.2844  0.3143  287086.873463   \n",
       "  2021-05-22  1621641600  0.2917  0.5100  0.2834  0.4701  0.3819  445751.523807   \n",
       "  2021-05-23  1621728000  0.4709  0.5500  0.2216  0.2924  0.3287  654274.557731   \n",
       "  2021-05-24  1621814400  0.2864  0.3206  0.2582  0.3110  0.2967  488966.683237   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  2.9991  3.0269  2.8739  2.8816  2.9422   80300.652718   \n",
       "  2022-04-11  1649635200  2.8892  2.9047  2.6462  2.6708  2.7552  471651.287037   \n",
       "  2022-04-12  1649721600  2.6863  2.8244  2.6645  2.7790  2.7542  288857.373558   \n",
       "  2022-04-13  1649808000  2.7767  2.8848  2.7468  2.8712  2.8109  179042.559382   \n",
       "  2022-04-14  1649894400  2.8653  2.9124  2.8615  2.9101  2.8907   18574.712535   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-05-20    544  \n",
       "  2021-05-21    460  \n",
       "  2021-05-22    694  \n",
       "  2021-05-23    755  \n",
       "  2021-05-24    280  \n",
       "  ...           ...  \n",
       "  2022-04-10    651  \n",
       "  2022-04-11   2207  \n",
       "  2022-04-12   1511  \n",
       "  2022-04-13    877  \n",
       "  2022-04-14     74  \n",
       "  \n",
       "  [330 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2022-03-14  1647216000  0.03294  0.03302  0.02968  0.03019  0.03147   \n",
       "  2022-03-15  1647302400  0.03098  0.03256  0.02932  0.03256  0.03093   \n",
       "  2022-03-16  1647388800  0.03256  0.03681  0.03050  0.03298  0.03305   \n",
       "  2022-03-17  1647475200  0.03302  0.03474  0.03146  0.03268  0.03383   \n",
       "  2022-03-18  1647561600  0.03213  0.03563  0.03203  0.03466  0.03397   \n",
       "  2022-03-19  1647648000  0.03465  0.04320  0.03343  0.03833  0.03884   \n",
       "  2022-03-20  1647734400  0.03941  0.04320  0.03641  0.03815  0.03885   \n",
       "  2022-03-21  1647820800  0.03806  0.04665  0.03806  0.04366  0.04188   \n",
       "  2022-03-22  1647907200  0.04370  0.04773  0.03117  0.04224  0.04077   \n",
       "  2022-03-23  1647993600  0.04198  0.04988  0.03893  0.04116  0.04616   \n",
       "  2022-03-24  1648080000  0.04259  0.05547  0.04014  0.04507  0.04424   \n",
       "  2022-03-25  1648166400  0.04550  0.04634  0.03450  0.03636  0.03991   \n",
       "  2022-03-26  1648252800  0.03635  0.04107  0.03466  0.03775  0.03755   \n",
       "  2022-03-27  1648339200  0.03716  0.04162  0.03498  0.03689  0.03726   \n",
       "  2022-03-28  1648425600  0.03690  0.04600  0.03250  0.03796  0.03651   \n",
       "  2022-03-29  1648512000  0.03796  0.03900  0.03592  0.03801  0.03783   \n",
       "  2022-03-30  1648598400  0.03803  0.04133  0.03528  0.03805  0.03880   \n",
       "  2022-03-31  1648684800  0.04039  0.04119  0.03448  0.03545  0.03733   \n",
       "  2022-04-01  1648771200  0.03727  0.03782  0.03408  0.03504  0.03598   \n",
       "  2022-04-02  1648857600  0.03605  0.03695  0.03396  0.03629  0.03541   \n",
       "  2022-04-03  1648944000  0.03629  0.03652  0.03356  0.03550  0.03468   \n",
       "  2022-04-04  1649030400  0.03549  0.03581  0.03340  0.03434  0.03472   \n",
       "  2022-04-05  1649116800  0.03434  0.03550  0.03236  0.03467  0.03373   \n",
       "  2022-04-06  1649203200  0.03470  0.03763  0.03200  0.03201  0.03430   \n",
       "  2022-04-07  1649289600  0.03211  0.03763  0.03201  0.03543  0.03477   \n",
       "  2022-04-08  1649376000  0.03589  0.03600  0.03290  0.03300  0.03445   \n",
       "  2022-04-09  1649462400  0.03348  0.03446  0.03240  0.03356  0.03286   \n",
       "  2022-04-10  1649548800  0.03305  0.03371  0.03118  0.03243  0.03255   \n",
       "  2022-04-11  1649635200  0.03202  0.03202  0.02615  0.02701  0.02947   \n",
       "  2022-04-12  1649721600  0.02751  0.02937  0.02723  0.02805  0.02827   \n",
       "  2022-04-13  1649808000  0.02854  0.03005  0.02853  0.03005  0.02880   \n",
       "  2022-04-14  1649894400  0.03005  0.03005  0.03005  0.03005  0.00000   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2022-03-14  7.018095e+04     34  \n",
       "  2022-03-15  8.376694e+04     61  \n",
       "  2022-03-16  1.581121e+05    105  \n",
       "  2022-03-17  1.686886e+05     54  \n",
       "  2022-03-18  6.505991e+04     55  \n",
       "  2022-03-19  3.325992e+05    164  \n",
       "  2022-03-20  1.505036e+05     79  \n",
       "  2022-03-21  1.228025e+05     95  \n",
       "  2022-03-22  4.196237e+05    182  \n",
       "  2022-03-23  9.886113e+05    268  \n",
       "  2022-03-24  5.783062e+05    291  \n",
       "  2022-03-25  6.340280e+05    523  \n",
       "  2022-03-26  3.784396e+05    320  \n",
       "  2022-03-27  1.767008e+05    295  \n",
       "  2022-03-28  1.406478e+06    693  \n",
       "  2022-03-29  3.723191e+05    137  \n",
       "  2022-03-30  4.415804e+05    158  \n",
       "  2022-03-31  3.374344e+05    162  \n",
       "  2022-04-01  3.438493e+05    108  \n",
       "  2022-04-02  2.211910e+05     52  \n",
       "  2022-04-03  2.325950e+05     94  \n",
       "  2022-04-04  1.307754e+05     60  \n",
       "  2022-04-05  3.819576e+05    118  \n",
       "  2022-04-06  6.376363e+05    234  \n",
       "  2022-04-07  2.153723e+05     89  \n",
       "  2022-04-08  2.270735e+05     70  \n",
       "  2022-04-09  5.012585e+04     17  \n",
       "  2022-04-10  3.835761e+04     48  \n",
       "  2022-04-11  2.442132e+05     94  \n",
       "  2022-04-12  5.602346e+04     34  \n",
       "  2022-04-13  3.457050e+04     18  \n",
       "  2022-04-14  0.000000e+00      0  ,\n",
       "  1649808000),\n",
       " (                  time    open    high    low  close   vwap         volume  \\\n",
       "  dtime                                                                        \n",
       "  2022-04-01  1648771200  10.000  10.000  0.002  5.849  5.795   40521.915298   \n",
       "  2022-04-02  1648857600   5.849   7.770  5.711  6.329  6.365  136532.646196   \n",
       "  2022-04-03  1648944000   6.340   7.140  6.192  6.407  6.467   65168.727828   \n",
       "  2022-04-04  1649030400   6.390   6.477  6.018  6.261  6.206   43300.520180   \n",
       "  2022-04-05  1649116800   6.256   6.436  6.177  6.198  6.287   37185.167132   \n",
       "  2022-04-06  1649203200   6.177   6.875  5.633  5.679  5.873  122546.414323   \n",
       "  2022-04-07  1649289600   5.699   6.292  5.636  5.698  5.766   83199.545484   \n",
       "  2022-04-08  1649376000   5.694   6.600  5.270  5.293  5.614   94798.186118   \n",
       "  2022-04-09  1649462400   5.262   5.843  5.143  5.400  5.351   49480.997306   \n",
       "  2022-04-10  1649548800   5.404   5.479  5.140  5.160  5.372   29251.079465   \n",
       "  2022-04-11  1649635200   5.136   5.217  4.662  4.715  4.907   55547.122359   \n",
       "  2022-04-12  1649721600   4.752   5.046  4.684  4.922  4.898   59599.781524   \n",
       "  2022-04-13  1649808000   4.915   5.276  4.862  5.169  5.063   24873.257734   \n",
       "  2022-04-14  1649894400   5.191   5.212  5.165  5.212  5.191     104.776948   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-04-01    530  \n",
       "  2022-04-02   1164  \n",
       "  2022-04-03    593  \n",
       "  2022-04-04    411  \n",
       "  2022-04-05    336  \n",
       "  2022-04-06   1468  \n",
       "  2022-04-07   1069  \n",
       "  2022-04-08   1044  \n",
       "  2022-04-09    529  \n",
       "  2022-04-10    390  \n",
       "  2022-04-11    656  \n",
       "  2022-04-12    505  \n",
       "  2022-04-13    314  \n",
       "  2022-04-14     14  ,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800  0.00140  0.00149  0.00139  0.00143  0.00144   \n",
       "  2020-04-26  1587859200  0.00148  0.00185  0.00144  0.00181  0.00169   \n",
       "  2020-04-27  1587945600  0.00184  0.00189  0.00167  0.00170  0.00174   \n",
       "  2020-04-28  1588032000  0.00170  0.00178  0.00164  0.00171  0.00173   \n",
       "  2020-04-29  1588118400  0.00173  0.00202  0.00169  0.00195  0.00184   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.01132  0.01137  0.01088  0.01088  0.01111   \n",
       "  2022-04-11  1649635200  0.01086  0.01095  0.00954  0.00971  0.01018   \n",
       "  2022-04-12  1649721600  0.00969  0.01031  0.00952  0.01007  0.00999   \n",
       "  2022-04-13  1649808000  0.01007  0.01081  0.01003  0.01071  0.01044   \n",
       "  2022-04-14  1649894400  0.01069  0.01088  0.01067  0.01087  0.01079   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  1.026731e+07    744  \n",
       "  2020-04-26  4.103799e+07    538  \n",
       "  2020-04-27  2.041557e+07    291  \n",
       "  2020-04-28  4.024157e+06     89  \n",
       "  2020-04-29  3.109115e+07    665  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  1.459146e+07    465  \n",
       "  2022-04-11  3.648104e+07   1634  \n",
       "  2022-04-12  4.880916e+07   1225  \n",
       "  2022-04-13  6.935234e+07   1348  \n",
       "  2022-04-14  7.984741e+05     62  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high    low  close   vwap         volume  \\\n",
       "  dtime                                                                        \n",
       "  2021-09-02  1630540800  50.000  51.000  4.600  5.919  6.080  641501.687065   \n",
       "  2021-09-03  1630627200   5.901   7.045  5.547  6.541  6.204  401676.447247   \n",
       "  2021-09-04  1630713600   6.541   6.607  5.770  5.771  6.008  187412.518537   \n",
       "  2021-09-05  1630800000   5.853   6.000  5.400  5.500  5.638  200253.180901   \n",
       "  2021-09-06  1630886400   5.486   5.646  4.951  5.114  5.314  129872.634150   \n",
       "  ...                ...     ...     ...    ...    ...    ...            ...   \n",
       "  2022-04-10  1649548800   1.486   1.743  1.486  1.607  1.638   52340.917554   \n",
       "  2022-04-11  1649635200   1.595   1.595  1.281  1.383  1.410   63825.377904   \n",
       "  2022-04-12  1649721600   1.375   1.520  1.327  1.405  1.436   20402.099512   \n",
       "  2022-04-13  1649808000   1.410   1.472  1.283  1.396  1.395   35017.385880   \n",
       "  2022-04-14  1649894400   1.389   1.435  1.389  1.408  1.407     162.764573   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-09-02   3786  \n",
       "  2021-09-03   2964  \n",
       "  2021-09-04   1580  \n",
       "  2021-09-05   2818  \n",
       "  2021-09-06   1168  \n",
       "  ...           ...  \n",
       "  2022-04-10    628  \n",
       "  2022-04-11    723  \n",
       "  2022-04-12    297  \n",
       "  2022-04-13    482  \n",
       "  2022-04-14     12  \n",
       "  \n",
       "  [225 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-02-22  1645488000  0.0623  0.0623  0.0521  0.0559  0.0548  8.841752e+05   \n",
       "  2022-02-23  1645574400  0.0559  0.0640  0.0535  0.0583  0.0590  2.157433e+06   \n",
       "  2022-02-24  1645660800  0.0579  0.0652  0.0460  0.0643  0.0548  3.959541e+06   \n",
       "  2022-02-25  1645747200  0.0643  0.1200  0.0610  0.0898  0.0814  1.003467e+07   \n",
       "  2022-02-26  1645833600  0.0904  0.1170  0.0750  0.0809  0.0908  1.126174e+07   \n",
       "  2022-02-27  1645920000  0.0809  0.1003  0.0775  0.0818  0.0911  1.064978e+07   \n",
       "  2022-02-28  1646006400  0.0822  0.1050  0.0715  0.0890  0.0888  1.224629e+07   \n",
       "  2022-03-01  1646092800  0.0891  0.0896  0.0800  0.0840  0.0855  1.156291e+07   \n",
       "  2022-03-02  1646179200  0.0840  0.0863  0.0761  0.0773  0.0801  5.742463e+06   \n",
       "  2022-03-03  1646265600  0.0778  0.0950  0.0759  0.0800  0.0814  1.087601e+07   \n",
       "  2022-03-04  1646352000  0.0802  0.0830  0.0741  0.0751  0.0787  1.098199e+07   \n",
       "  2022-03-05  1646438400  0.0751  0.0793  0.0749  0.0779  0.0775  2.609879e+06   \n",
       "  2022-03-06  1646524800  0.0784  0.0834  0.0763  0.0768  0.0785  3.937444e+06   \n",
       "  2022-03-07  1646611200  0.0768  0.0780  0.0661  0.0744  0.0730  4.077951e+06   \n",
       "  2022-03-08  1646697600  0.0744  0.0765  0.0700  0.0724  0.0732  2.626277e+06   \n",
       "  2022-03-09  1646784000  0.0722  0.0758  0.0683  0.0718  0.0730  7.220451e+06   \n",
       "  2022-03-10  1646870400  0.0719  0.0861  0.0681  0.0726  0.0750  4.100821e+06   \n",
       "  2022-03-11  1646956800  0.0726  0.0743  0.0656  0.0666  0.0695  3.534401e+06   \n",
       "  2022-03-12  1647043200  0.0668  0.0680  0.0644  0.0644  0.0668  3.501789e+06   \n",
       "  2022-03-13  1647129600  0.0645  0.0670  0.0631  0.0635  0.0652  1.970373e+06   \n",
       "  2022-03-14  1647216000  0.0636  0.0667  0.0609  0.0614  0.0638  2.617362e+06   \n",
       "  2022-03-15  1647302400  0.0615  0.0634  0.0597  0.0606  0.0614  5.165513e+06   \n",
       "  2022-03-16  1647388800  0.0606  0.0650  0.0603  0.0647  0.0621  2.572847e+06   \n",
       "  2022-03-17  1647475200  0.0649  0.0649  0.0632  0.0633  0.0639  1.558330e+06   \n",
       "  2022-03-18  1647561600  0.0634  0.0651  0.0623  0.0644  0.0640  3.218385e+06   \n",
       "  2022-03-19  1647648000  0.0645  0.0689  0.0640  0.0675  0.0662  3.355017e+06   \n",
       "  2022-03-20  1647734400  0.0675  0.0676  0.0631  0.0642  0.0651  1.801844e+06   \n",
       "  2022-03-21  1647820800  0.0642  0.0671  0.0615  0.0637  0.0639  1.100862e+07   \n",
       "  2022-03-22  1647907200  0.0635  0.0662  0.0632  0.0638  0.0645  2.127042e+06   \n",
       "  2022-03-23  1647993600  0.0639  0.0659  0.0636  0.0654  0.0648  1.280481e+06   \n",
       "  2022-03-24  1648080000  0.0654  0.0656  0.0636  0.0640  0.0644  2.352433e+06   \n",
       "  2022-03-25  1648166400  0.0640  0.0642  0.0630  0.0640  0.0639  2.331595e+06   \n",
       "  2022-03-26  1648252800  0.0639  0.0641  0.0609  0.0612  0.0619  1.648028e+06   \n",
       "  2022-03-27  1648339200  0.0616  0.0975  0.0612  0.0662  0.0661  8.089164e+06   \n",
       "  2022-03-28  1648425600  0.0662  0.0899  0.0660  0.0743  0.0742  2.703580e+07   \n",
       "  2022-03-29  1648512000  0.0742  0.0746  0.0721  0.0721  0.0733  2.110485e+06   \n",
       "  2022-03-30  1648598400  0.0724  0.0726  0.0698  0.0718  0.0709  3.014431e+06   \n",
       "  2022-03-31  1648684800  0.0717  0.0749  0.0710  0.0738  0.0730  3.962691e+06   \n",
       "  2022-04-01  1648771200  0.0737  0.0770  0.0721  0.0725  0.0739  6.515799e+06   \n",
       "  2022-04-02  1648857600  0.0725  0.0742  0.0708  0.0709  0.0727  3.608424e+06   \n",
       "  2022-04-03  1648944000  0.0711  0.0742  0.0709  0.0727  0.0727  3.449297e+06   \n",
       "  2022-04-04  1649030400  0.0726  0.0728  0.0688  0.0694  0.0702  2.201848e+06   \n",
       "  2022-04-05  1649116800  0.0694  0.0716  0.0691  0.0699  0.0704  1.661108e+06   \n",
       "  2022-04-06  1649203200  0.0698  0.0714  0.0685  0.0685  0.0697  1.281345e+06   \n",
       "  2022-04-07  1649289600  0.0686  0.0707  0.0684  0.0691  0.0692  3.565524e+06   \n",
       "  2022-04-08  1649376000  0.0690  0.0692  0.0680  0.0684  0.0685  8.759240e+05   \n",
       "  2022-04-09  1649462400  0.0681  0.0692  0.0676  0.0686  0.0686  1.165608e+06   \n",
       "  2022-04-10  1649548800  0.0685  0.0687  0.0677  0.0684  0.0682  1.348359e+06   \n",
       "  2022-04-11  1649635200  0.0681  0.0684  0.0643  0.0653  0.0654  2.490982e+06   \n",
       "  2022-04-12  1649721600  0.0650  0.0661  0.0623  0.0629  0.0639  8.151666e+06   \n",
       "  2022-04-13  1649808000  0.0629  0.0643  0.0616  0.0623  0.0628  7.459316e+06   \n",
       "  2022-04-14  1649894400  0.0625  0.0625  0.0622  0.0623  0.0624  2.568605e+04   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-02-22    552  \n",
       "  2022-02-23   1369  \n",
       "  2022-02-24   1307  \n",
       "  2022-02-25   3561  \n",
       "  2022-02-26   3053  \n",
       "  2022-02-27   2367  \n",
       "  2022-02-28   2917  \n",
       "  2022-03-01   1755  \n",
       "  2022-03-02   1984  \n",
       "  2022-03-03   4242  \n",
       "  2022-03-04   2454  \n",
       "  2022-03-05   1639  \n",
       "  2022-03-06   3477  \n",
       "  2022-03-07   1163  \n",
       "  2022-03-08    818  \n",
       "  2022-03-09   1430  \n",
       "  2022-03-10   1836  \n",
       "  2022-03-11    789  \n",
       "  2022-03-12    521  \n",
       "  2022-03-13    392  \n",
       "  2022-03-14    676  \n",
       "  2022-03-15    752  \n",
       "  2022-03-16   1672  \n",
       "  2022-03-17    607  \n",
       "  2022-03-18    781  \n",
       "  2022-03-19   1062  \n",
       "  2022-03-20    545  \n",
       "  2022-03-21   1739  \n",
       "  2022-03-22    565  \n",
       "  2022-03-23    962  \n",
       "  2022-03-24   1065  \n",
       "  2022-03-25    808  \n",
       "  2022-03-26    777  \n",
       "  2022-03-27   1718  \n",
       "  2022-03-28   2855  \n",
       "  2022-03-29    944  \n",
       "  2022-03-30    892  \n",
       "  2022-03-31   1191  \n",
       "  2022-04-01   2055  \n",
       "  2022-04-02   1491  \n",
       "  2022-04-03    665  \n",
       "  2022-04-04    593  \n",
       "  2022-04-05    857  \n",
       "  2022-04-06    537  \n",
       "  2022-04-07    316  \n",
       "  2022-04-08    233  \n",
       "  2022-04-09    225  \n",
       "  2022-04-10    252  \n",
       "  2022-04-11    399  \n",
       "  2022-04-12    379  \n",
       "  2022-04-13    412  \n",
       "  2022-04-14      8  ,\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2021-11-30  1638230400  0.000049  0.000055  0.000046  0.000048  0.000048   \n",
       "  2021-12-01  1638316800  0.000048  0.000049  0.000044  0.000044  0.000046   \n",
       "  2021-12-02  1638403200  0.000044  0.000044  0.000041  0.000042  0.000043   \n",
       "  2021-12-03  1638489600  0.000042  0.000045  0.000039  0.000041  0.000041   \n",
       "  2021-12-04  1638576000  0.000041  0.000041  0.000030  0.000036  0.000036   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800  0.000025  0.000025  0.000024  0.000024  0.000025   \n",
       "  2022-04-11  1649635200  0.000024  0.000025  0.000022  0.000022  0.000023   \n",
       "  2022-04-12  1649721600  0.000022  0.000030  0.000022  0.000027  0.000026   \n",
       "  2022-04-13  1649808000  0.000027  0.000028  0.000026  0.000027  0.000027   \n",
       "  2022-04-14  1649894400  0.000027  0.000027  0.000026  0.000027  0.000027   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2021-11-30  1.410812e+11   8143  \n",
       "  2021-12-01  1.467816e+11   7587  \n",
       "  2021-12-02  8.870544e+10   3950  \n",
       "  2021-12-03  1.186418e+11   4522  \n",
       "  2021-12-04  1.936757e+11   8704  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  4.219109e+10   1965  \n",
       "  2022-04-11  5.517548e+10   2563  \n",
       "  2022-04-12  3.576429e+11  14775  \n",
       "  2022-04-13  1.423685e+11   7363  \n",
       "  2022-04-14  5.479269e+09    308  \n",
       "  \n",
       "  [136 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high    low  close   vwap        volume  \\\n",
       "  dtime                                                                       \n",
       "  2020-09-17  1600300800  10.000  10.000  4.433  4.551  4.696  32727.548965   \n",
       "  2020-09-18  1600387200   4.600   4.919  4.410  4.744  4.599  53924.180990   \n",
       "  2020-09-19  1600473600   4.670   4.970  4.275  4.500  4.447  11386.817727   \n",
       "  2020-09-20  1600560000   4.430   4.788  4.051  4.150  4.304  10662.989974   \n",
       "  2020-09-21  1600646400   4.180   4.319  3.511  3.610  3.752  71937.203962   \n",
       "  ...                ...     ...     ...    ...    ...    ...           ...   \n",
       "  2022-04-10  1649548800   5.426   5.429  5.090  5.090  5.311  12784.433367   \n",
       "  2022-04-11  1649635200   5.075   5.166  4.442  4.486  4.733  72273.666331   \n",
       "  2022-04-12  1649721600   4.517   5.077  4.470  4.982  4.783  79691.202926   \n",
       "  2022-04-13  1649808000   4.929   5.195  4.846  5.154  5.021  30096.863145   \n",
       "  2022-04-14  1649894400   5.153   5.279  5.151  5.230  5.190   3838.624163   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-09-17    632  \n",
       "  2020-09-18    685  \n",
       "  2020-09-19    338  \n",
       "  2020-09-20    363  \n",
       "  2020-09-21    947  \n",
       "  ...           ...  \n",
       "  2022-04-10    207  \n",
       "  2022-04-11    562  \n",
       "  2022-04-12    784  \n",
       "  2022-04-13    491  \n",
       "  2022-04-14     49  \n",
       "  \n",
       "  [575 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-06-17  1623888000   40.23   40.57   38.30   39.13   39.38    6007.618490   \n",
       "  2021-06-18  1623974400   39.14   39.36   35.00   36.62   37.06   13557.357196   \n",
       "  2021-06-19  1624060800   36.82   37.35   35.00   35.45   35.87   16986.163716   \n",
       "  2021-06-20  1624147200   35.09   35.89   31.48   35.28   33.78   38681.265775   \n",
       "  2021-06-21  1624233600   35.08   35.08   26.00   26.55   30.01   41903.613224   \n",
       "  ...                ...     ...     ...     ...     ...     ...            ...   \n",
       "  2022-04-10  1649548800  113.02  115.96  109.82  111.04  113.11  113837.268335   \n",
       "  2022-04-11  1649635200  110.96  111.96   98.21   99.52  103.93  281488.499266   \n",
       "  2022-04-12  1649721600   99.77  109.33   98.41  103.16  105.07  314236.943851   \n",
       "  2022-04-13  1649808000  103.25  106.03  100.08  104.97  103.74  112206.572560   \n",
       "  2022-04-14  1649894400  104.96  106.74  104.61  106.22  105.67   11198.440650   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-06-17    258  \n",
       "  2021-06-18    526  \n",
       "  2021-06-19    574  \n",
       "  2021-06-20   1229  \n",
       "  2021-06-21   1588  \n",
       "  ...           ...  \n",
       "  2022-04-10  10119  \n",
       "  2022-04-11  22535  \n",
       "  2022-04-12  20239  \n",
       "  2022-04-13  12751  \n",
       "  2022-04-14    790  \n",
       "  \n",
       "  [302 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2022-04-01  1648771200  0.009000  0.009990  0.003451  0.004899  0.004716   \n",
       "  2022-04-02  1648857600  0.004899  0.005988  0.004501  0.004999  0.005073   \n",
       "  2022-04-03  1648944000  0.005001  0.007700  0.004890  0.005869  0.005790   \n",
       "  2022-04-04  1649030400  0.005900  0.006721  0.005041  0.005521  0.005856   \n",
       "  2022-04-05  1649116800  0.005480  0.006450  0.005073  0.005075  0.005416   \n",
       "  2022-04-06  1649203200  0.005063  0.005418  0.004751  0.004795  0.004985   \n",
       "  2022-04-07  1649289600  0.004831  0.005465  0.004751  0.005151  0.005159   \n",
       "  2022-04-08  1649376000  0.005121  0.005225  0.004563  0.004659  0.004989   \n",
       "  2022-04-09  1649462400  0.004689  0.005458  0.004616  0.004922  0.004899   \n",
       "  2022-04-10  1649548800  0.004878  0.004894  0.004656  0.004663  0.004802   \n",
       "  2022-04-11  1649635200  0.004665  0.004717  0.004142  0.004143  0.004362   \n",
       "  2022-04-12  1649721600  0.004163  0.004367  0.004016  0.004135  0.004230   \n",
       "  2022-04-13  1649808000  0.004131  0.004303  0.004115  0.004253  0.004190   \n",
       "  2022-04-14  1649894400  0.004207  0.004255  0.004207  0.004255  0.004244   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2022-04-01  1.431135e+07    224  \n",
       "  2022-04-02  3.188311e+07   1094  \n",
       "  2022-04-03  6.987753e+07   1768  \n",
       "  2022-04-04  6.034483e+07   1339  \n",
       "  2022-04-05  1.982475e+07    568  \n",
       "  2022-04-06  2.665213e+07    523  \n",
       "  2022-04-07  2.400508e+07    556  \n",
       "  2022-04-08  2.065820e+07    456  \n",
       "  2022-04-09  1.114791e+07    252  \n",
       "  2022-04-10  4.086929e+06    141  \n",
       "  2022-04-11  1.337353e+07    196  \n",
       "  2022-04-12  9.936852e+06    199  \n",
       "  2022-04-13  5.366564e+06    161  \n",
       "  2022-04-14  1.175485e+05      8  ,\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2021-06-17  1623888000  4.200  4.580  3.991  4.084  4.096  16620.338767    291\n",
       "  2021-06-18  1623974400  4.084  4.084  3.667  3.826  3.897  19539.101196    327\n",
       "  2021-06-19  1624060800  3.839  3.913  3.707  3.738  3.807  42282.326968    507\n",
       "  2021-06-20  1624147200  3.723  3.779  3.465  3.764  3.603  21624.337239    400\n",
       "  2021-06-21  1624233600  3.720  3.726  2.900  2.957  3.272  35308.924516    444\n",
       "  ...                ...    ...    ...    ...    ...    ...           ...    ...\n",
       "  2022-04-10  1649548800  2.670  2.680  2.549  2.550  2.642   5292.341583     33\n",
       "  2022-04-11  1649635200  2.547  2.551  2.243  2.266  2.341  65809.932295    172\n",
       "  2022-04-12  1649721600  2.260  2.388  2.227  2.352  2.342  58738.275437    134\n",
       "  2022-04-13  1649808000  2.368  2.574  2.368  2.574  2.474  57369.224711    195\n",
       "  2022-04-14  1649894400  2.545  2.573  2.545  2.566  2.555     79.926082      3\n",
       "  \n",
       "  [302 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2022-03-14  1647216000  0.140  0.150  0.138  0.142  0.142    9106.371301   \n",
       "  2022-03-15  1647302400  0.153  0.156  0.147  0.151  0.153   24932.225878   \n",
       "  2022-03-16  1647388800  0.150  0.152  0.143  0.149  0.148    9226.386244   \n",
       "  2022-03-17  1647475200  0.150  0.159  0.150  0.155  0.156   15367.701022   \n",
       "  2022-03-18  1647561600  0.154  0.158  0.149  0.158  0.152    4124.413097   \n",
       "  2022-03-19  1647648000  0.162  0.200  0.162  0.170  0.178   61911.323128   \n",
       "  2022-03-20  1647734400  0.173  0.175  0.164  0.165  0.170   26538.881150   \n",
       "  2022-03-21  1647820800  0.162  0.180  0.162  0.169  0.170   15054.156995   \n",
       "  2022-03-22  1647907200  0.168  0.183  0.165  0.178  0.176   13787.013145   \n",
       "  2022-03-23  1647993600  0.177  0.183  0.166  0.174  0.169   37321.367362   \n",
       "  2022-03-24  1648080000  0.177  0.185  0.172  0.179  0.176  100591.762113   \n",
       "  2022-03-25  1648166400  0.178  0.188  0.160  0.163  0.169  116074.987097   \n",
       "  2022-03-26  1648252800  0.163  0.169  0.159  0.160  0.162   35699.880227   \n",
       "  2022-03-27  1648339200  0.159  0.176  0.149  0.167  0.160   88597.817904   \n",
       "  2022-03-28  1648425600  0.167  0.182  0.162  0.170  0.170   54221.428088   \n",
       "  2022-03-29  1648512000  0.165  0.169  0.146  0.154  0.161  158447.866237   \n",
       "  2022-03-30  1648598400  0.152  0.173  0.149  0.163  0.159  261742.310461   \n",
       "  2022-03-31  1648684800  0.166  0.172  0.151  0.152  0.160  269253.331920   \n",
       "  2022-04-01  1648771200  0.150  0.275  0.148  0.208  0.198  552985.896142   \n",
       "  2022-04-02  1648857600  0.205  0.270  0.179  0.191  0.216  505780.668255   \n",
       "  2022-04-03  1648944000  0.202  0.265  0.199  0.200  0.211  125037.863159   \n",
       "  2022-04-04  1649030400  0.202  0.202  0.181  0.194  0.191   71252.367299   \n",
       "  2022-04-05  1649116800  0.188  0.194  0.171  0.171  0.181  342638.558884   \n",
       "  2022-04-06  1649203200  0.171  0.173  0.141  0.153  0.153  322026.304411   \n",
       "  2022-04-07  1649289600  0.153  0.155  0.146  0.151  0.151   44794.590386   \n",
       "  2022-04-08  1649376000  0.154  0.188  0.128  0.131  0.143  556429.787295   \n",
       "  2022-04-09  1649462400  0.131  0.139  0.125  0.132  0.131  192281.367203   \n",
       "  2022-04-10  1649548800  0.128  0.133  0.121  0.124  0.124  260447.027658   \n",
       "  2022-04-11  1649635200  0.124  0.125  0.110  0.115  0.119  287515.647403   \n",
       "  2022-04-12  1649721600  0.112  0.124  0.111  0.119  0.116   74239.173519   \n",
       "  2022-04-13  1649808000  0.116  0.124  0.112  0.120  0.117   50531.091893   \n",
       "  2022-04-14  1649894400  0.125  0.128  0.125  0.128  0.126   19725.007046   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14     21  \n",
       "  2022-03-15     46  \n",
       "  2022-03-16     27  \n",
       "  2022-03-17     36  \n",
       "  2022-03-18     15  \n",
       "  2022-03-19     75  \n",
       "  2022-03-20     42  \n",
       "  2022-03-21     55  \n",
       "  2022-03-22     51  \n",
       "  2022-03-23     60  \n",
       "  2022-03-24     79  \n",
       "  2022-03-25    135  \n",
       "  2022-03-26     87  \n",
       "  2022-03-27    146  \n",
       "  2022-03-28     97  \n",
       "  2022-03-29    152  \n",
       "  2022-03-30    249  \n",
       "  2022-03-31    208  \n",
       "  2022-04-01    436  \n",
       "  2022-04-02    713  \n",
       "  2022-04-03    129  \n",
       "  2022-04-04     84  \n",
       "  2022-04-05    387  \n",
       "  2022-04-06    299  \n",
       "  2022-04-07     85  \n",
       "  2022-04-08    460  \n",
       "  2022-04-09    201  \n",
       "  2022-04-10    231  \n",
       "  2022-04-11    190  \n",
       "  2022-04-12    136  \n",
       "  2022-04-13    114  \n",
       "  2022-04-14     36  ,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-07-15  1594771200  0.19000  0.20990  0.17774  0.17784  0.18191   \n",
       "  2020-07-16  1594857600  0.18000  0.19809  0.12000  0.16999  0.16477   \n",
       "  2020-07-17  1594944000  0.16999  0.17999  0.16057  0.17050  0.17178   \n",
       "  2020-07-18  1595030400  0.16425  0.17200  0.14000  0.17000  0.16234   \n",
       "  2020-07-19  1595116800  0.17200  0.18989  0.16800  0.16841  0.17412   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  1.13735  1.15689  1.09733  1.09887  1.12115   \n",
       "  2022-04-11  1649635200  1.09733  1.10201  0.98270  0.98693  1.02398   \n",
       "  2022-04-12  1649721600  0.99294  1.13403  0.97780  1.04482  1.05484   \n",
       "  2022-04-13  1649808000  1.04666  1.13533  1.04532  1.12324  1.08612   \n",
       "  2022-04-14  1649894400  1.12204  1.13533  1.11646  1.13533  1.12699   \n",
       "  \n",
       "                     volume  count  \n",
       "  dtime                             \n",
       "  2020-07-15  239025.218678    196  \n",
       "  2020-07-16  312247.190545    233  \n",
       "  2020-07-17  201860.350106    172  \n",
       "  2020-07-18  107528.873763    112  \n",
       "  2020-07-19   68905.641035    113  \n",
       "  ...                   ...    ...  \n",
       "  2022-04-10   50129.755751    408  \n",
       "  2022-04-11  105229.868189    703  \n",
       "  2022-04-12  224233.256225   1450  \n",
       "  2022-04-13  175879.220892   1115  \n",
       "  2022-04-14    2909.093666     53  \n",
       "  \n",
       "  [639 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap        volume  count\n",
       "  dtime                                                                         \n",
       "  2021-05-24  1621814400  11.19  12.29  10.45  11.76  11.50   4676.449545    143\n",
       "  2021-05-25  1621900800  12.00  12.62   9.71  12.17  11.25   8046.373239    152\n",
       "  2021-05-26  1621987200  12.31  13.78  11.66  13.43  12.83  33540.729915    316\n",
       "  2021-05-27  1622073600  13.35  13.35  11.69  12.21  12.44   7026.512073    103\n",
       "  2021-05-28  1622160000  12.13  12.13  10.16  10.63  11.32   7693.848874     85\n",
       "  ...                ...    ...    ...    ...    ...    ...           ...    ...\n",
       "  2022-04-10  1649548800   3.56   3.63   3.40   3.40   3.53  27789.449300    183\n",
       "  2022-04-11  1649635200   3.40   3.43   3.08   3.10   3.18  79695.378221    285\n",
       "  2022-04-12  1649721600   3.12   3.29   3.10   3.23   3.17  12477.028395    195\n",
       "  2022-04-13  1649808000   3.24   3.34   3.18   3.34   3.24   7866.365452    139\n",
       "  2022-04-14  1649894400   3.34   3.40   3.34   3.37   3.37    138.631317     14\n",
       "  \n",
       "  [326 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time      open      high      low    close     vwap  \\\n",
       "  dtime                                                                   \n",
       "  2020-11-25  1606262400  100000.0  148716.9  19000.0  20999.0  21544.6   \n",
       "  2020-11-26  1606348800   20999.0   20999.0  17853.8  19767.3  19089.8   \n",
       "  2020-11-27  1606435200   17400.0   18168.8  16094.8  17030.5  16855.5   \n",
       "  2020-11-28  1606521600   17164.3   17850.7  16899.0  17767.8  17342.1   \n",
       "  2020-11-29  1606608000   18000.9   18345.9  17989.4  18289.7  18122.8   \n",
       "  ...                ...       ...       ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800   44363.5   44677.2  41867.2  42705.0  44147.2   \n",
       "  2022-04-11  1649635200   42705.0   43251.6  40001.0  40001.0  40719.4   \n",
       "  2022-04-12  1649721600   40062.8   41983.7  38557.1  38557.1  40742.1   \n",
       "  2022-04-13  1649808000   41141.5   42321.6  38280.6  42321.6  40853.7   \n",
       "  2022-04-14  1649894400   42321.6   42321.6  42321.6  42321.6      0.0   \n",
       "  \n",
       "                volume  count  \n",
       "  dtime                        \n",
       "  2020-11-25  4.275568    203  \n",
       "  2020-11-26  0.829568     55  \n",
       "  2020-11-27  2.238704     43  \n",
       "  2020-11-28  1.022489     69  \n",
       "  2020-11-29  0.613017     38  \n",
       "  ...              ...    ...  \n",
       "  2022-04-10  0.041458     12  \n",
       "  2022-04-11  0.065688     21  \n",
       "  2022-04-12  0.006172     10  \n",
       "  2022-04-13  0.019277     13  \n",
       "  2022-04-14  0.000000      0  \n",
       "  \n",
       "  [506 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap       volume  count\n",
       "  dtime                                                                        \n",
       "  2022-03-29  1648512000  29.99  35.00  27.50  27.50  29.83   440.311444     35\n",
       "  2022-03-30  1648598400  30.78  30.78  27.50  29.97  27.80   168.613220     25\n",
       "  2022-03-31  1648684800  27.51  29.97  25.00  25.11  26.87  1184.674291     31\n",
       "  2022-04-01  1648771200  28.09  30.49  23.91  28.68  26.98   129.366790     20\n",
       "  2022-04-02  1648857600  28.74  28.74  25.77  25.77  27.35    59.838862     23\n",
       "  2022-04-03  1648944000  27.94  27.94  26.37  26.98  27.11    15.107710     16\n",
       "  2022-04-04  1649030400  27.19  27.80  26.50  26.50  26.50  1192.903327     21\n",
       "  2022-04-05  1649116800  27.77  27.77  26.00  26.00  26.37   130.553874     13\n",
       "  2022-04-06  1649203200  26.00  27.40  23.50  23.50  25.53    71.509729     11\n",
       "  2022-04-07  1649289600  26.00  26.00  23.50  26.00  24.98    20.421579      8\n",
       "  2022-04-08  1649376000  26.00  26.00  26.00  26.00  26.00     3.408746      2\n",
       "  2022-04-09  1649462400  23.49  23.49  23.49  23.49  23.49     0.300000      1\n",
       "  2022-04-10  1649548800  23.50  25.64  20.00  25.64  23.73   152.857113     29\n",
       "  2022-04-11  1649635200  22.50  22.50  20.64  20.64  22.25    39.627143     12\n",
       "  2022-04-12  1649721600  22.50  22.50  20.59  20.59  20.78     9.812262      2\n",
       "  2022-04-13  1649808000  20.59  20.59  20.59  20.59   0.00     0.000000      0\n",
       "  2022-04-14  1649894400  20.59  20.59  20.59  20.59   0.00     0.000000      0,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap         volume  \\\n",
       "  dtime                                                                           \n",
       "  2022-04-01  1648771200  0.7000  5.0000  0.3583  0.6200  0.6155   37287.362395   \n",
       "  2022-04-02  1648857600  0.5750  4.5783  0.5195  0.7999  0.6194   52165.609552   \n",
       "  2022-04-03  1648944000  0.7999  0.7999  0.5745  0.5930  0.6177   81673.210693   \n",
       "  2022-04-04  1649030400  0.6230  0.6230  0.5745  0.6038  0.6041   51178.935421   \n",
       "  2022-04-05  1649116800  0.5831  0.7000  0.5745  0.5745  0.5794   72921.968483   \n",
       "  2022-04-06  1649203200  0.5745  0.6000  0.4836  0.5856  0.5695   96435.011449   \n",
       "  2022-04-07  1649289600  0.5800  0.6000  0.5446  0.5998  0.5834   10286.120043   \n",
       "  2022-04-08  1649376000  0.5700  0.5998  0.5321  0.5810  0.5595   21700.035255   \n",
       "  2022-04-09  1649462400  0.5679  0.5997  0.5347  0.5997  0.5700    2340.271082   \n",
       "  2022-04-10  1649548800  0.5750  0.5799  0.5001  0.5486  0.5507   34299.211061   \n",
       "  2022-04-11  1649635200  0.5328  0.5571  0.5001  0.5089  0.5331   10763.840420   \n",
       "  2022-04-12  1649721600  0.5534  0.5534  0.4549  0.4876  0.4976  147972.196422   \n",
       "  2022-04-13  1649808000  0.5141  0.5902  0.4185  0.5291  0.5107   57153.222934   \n",
       "  2022-04-14  1649894400  0.5289  0.5290  0.5101  0.5101  0.5287     651.654467   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-04-01     98  \n",
       "  2022-04-02    115  \n",
       "  2022-04-03    146  \n",
       "  2022-04-04    132  \n",
       "  2022-04-05     82  \n",
       "  2022-04-06     75  \n",
       "  2022-04-07     25  \n",
       "  2022-04-08     44  \n",
       "  2022-04-09     17  \n",
       "  2022-04-10     62  \n",
       "  2022-04-11     38  \n",
       "  2022-04-12     65  \n",
       "  2022-04-13    119  \n",
       "  2022-04-14      7  ,\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2020-04-25  1587772800  0.013920  0.014204  0.013670  0.013895  0.014009   \n",
       "  2020-04-26  1587859200  0.013972  0.014259  0.013909  0.014208  0.014096   \n",
       "  2020-04-27  1587945600  0.014276  0.014678  0.014257  0.014535  0.014457   \n",
       "  2020-04-28  1588032000  0.014473  0.015334  0.014381  0.015295  0.015121   \n",
       "  2020-04-29  1588118400  0.015356  0.016539  0.015033  0.016200  0.015856   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800  0.063875  0.064295  0.062253  0.062515  0.063548   \n",
       "  2022-04-11  1649635200  0.062313  0.062475  0.057929  0.058052  0.059818   \n",
       "  2022-04-12  1649721600  0.058294  0.060426  0.057993  0.059892  0.059378   \n",
       "  2022-04-13  1649808000  0.059952  0.061529  0.059404  0.061489  0.060929   \n",
       "  2022-04-14  1649894400  0.061400  0.061705  0.061369  0.061693  0.061633   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  1.347605e+06    122  \n",
       "  2020-04-26  1.095679e+06     74  \n",
       "  2020-04-27  1.649498e+06    110  \n",
       "  2020-04-28  5.243362e+06    182  \n",
       "  2020-04-29  4.896011e+06    284  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  1.414000e+06    794  \n",
       "  2022-04-11  3.516273e+06    805  \n",
       "  2022-04-12  3.117095e+06    789  \n",
       "  2022-04-13  2.378143e+06    767  \n",
       "  2022-04-14  7.896614e+04     41  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high    low  close   vwap       volume  \\\n",
       "  dtime                                                                      \n",
       "  2022-04-01  1648771200   8.450   9.000  8.140  8.140  8.875   107.687192   \n",
       "  2022-04-02  1648857600  18.006  18.006  7.824  7.971  8.201  5675.164223   \n",
       "  2022-04-03  1648944000   7.972   8.880  7.584  8.237  8.205  2860.292737   \n",
       "  2022-04-04  1649030400   8.180   8.699  7.798  8.191  8.113  1642.895925   \n",
       "  2022-04-05  1649116800   8.125   8.499  7.794  7.902  8.029  3354.588690   \n",
       "  2022-04-06  1649203200   7.852   7.905  6.659  6.902  7.306  6190.256703   \n",
       "  2022-04-07  1649289600   6.881   8.077  6.807  7.452  7.412  1115.785477   \n",
       "  2022-04-08  1649376000   7.434   8.764  6.733  7.172  7.520   892.726876   \n",
       "  2022-04-09  1649462400   7.086   7.476  6.985  7.292  7.136   539.559810   \n",
       "  2022-04-10  1649548800   7.292   7.800  7.067  7.197  7.196  2049.759113   \n",
       "  2022-04-11  1649635200   7.034   7.344  6.121  6.158  6.805  1113.209498   \n",
       "  2022-04-12  1649721600   6.136   7.009  6.136  6.460  6.422   503.271478   \n",
       "  2022-04-13  1649808000   6.480   6.732  6.147  6.550  6.501   154.567107   \n",
       "  2022-04-14  1649894400   6.602   6.602  6.602  6.602  6.602     1.000000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-04-01     15  \n",
       "  2022-04-02    475  \n",
       "  2022-04-03    161  \n",
       "  2022-04-04    128  \n",
       "  2022-04-05    295  \n",
       "  2022-04-06    374  \n",
       "  2022-04-07    128  \n",
       "  2022-04-08    107  \n",
       "  2022-04-09     65  \n",
       "  2022-04-10     99  \n",
       "  2022-04-11    103  \n",
       "  2022-04-12     73  \n",
       "  2022-04-13     22  \n",
       "  2022-04-14      1  ,\n",
       "  1649808000),\n",
       " (                  time    open    high    low  close    vwap         volume  \\\n",
       "  dtime                                                                         \n",
       "  2020-10-15  1602720000   3.210   3.728  3.018  3.090   3.142  103744.215368   \n",
       "  2020-10-16  1602806400   3.074   3.418  2.936  3.016   3.147   96592.280389   \n",
       "  2020-10-17  1602892800   3.013   3.183  2.990  3.183   3.057   54383.978039   \n",
       "  2020-10-18  1602979200   3.061   3.302  3.055  3.253   3.182   37980.496767   \n",
       "  2020-10-19  1603065600   3.268   3.268  3.118  3.150   3.204   28487.892724   \n",
       "  ...                ...     ...     ...    ...    ...     ...            ...   \n",
       "  2022-04-10  1649548800  10.068  10.313  9.846  9.849  10.131   19068.585013   \n",
       "  2022-04-11  1649635200   9.865   9.878  8.912  8.953   9.323   29079.163504   \n",
       "  2022-04-12  1649721600   9.000   9.488  8.954  9.340   9.256   22849.211654   \n",
       "  2022-04-13  1649808000   9.320   9.725  9.279  9.661   9.569   23080.354427   \n",
       "  2022-04-14  1649894400   9.631   9.707  9.618  9.707   9.641     790.842585   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-10-15    778  \n",
       "  2020-10-16    808  \n",
       "  2020-10-17    318  \n",
       "  2020-10-18    256  \n",
       "  2020-10-19    259  \n",
       "  ...           ...  \n",
       "  2022-04-10    671  \n",
       "  2022-04-11    900  \n",
       "  2022-04-12    679  \n",
       "  2022-04-13    774  \n",
       "  2022-04-14     56  \n",
       "  \n",
       "  [547 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-04-25  1587772800  1.0001  1.0004  0.9990  1.0002  0.9998  2.613355e+05   \n",
       "  2020-04-26  1587859200  0.9998  1.0002  0.9993  0.9999  0.9996  2.288450e+05   \n",
       "  2020-04-27  1587945600  1.0000  1.0005  0.9992  0.9998  0.9999  3.749468e+05   \n",
       "  2020-04-28  1588032000  0.9995  1.0004  0.9992  0.9999  1.0000  2.927011e+05   \n",
       "  2020-04-29  1588118400  0.9999  1.0005  0.9990  0.9996  0.9998  8.190938e+05   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  0.9999  1.0001  0.9999  0.9999  0.9999  8.781264e+06   \n",
       "  2022-04-11  1649635200  0.9999  1.0001  0.9999  0.9999  0.9999  1.719804e+07   \n",
       "  2022-04-12  1649721600  0.9999  1.0000  0.9994  0.9999  0.9999  2.902651e+07   \n",
       "  2022-04-13  1649808000  0.9999  1.0001  0.9998  1.0000  0.9999  2.527782e+07   \n",
       "  2022-04-14  1649894400  1.0000  1.0000  0.9999  1.0000  0.9999  1.476924e+06   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25    620  \n",
       "  2020-04-26    635  \n",
       "  2020-04-27    954  \n",
       "  2020-04-28    713  \n",
       "  2020-04-29   1765  \n",
       "  ...           ...  \n",
       "  2022-04-10   3166  \n",
       "  2022-04-11   3990  \n",
       "  2022-04-12   6116  \n",
       "  2022-04-13   4877  \n",
       "  2022-04-14    145  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-04-25  1587772800  1.0013  1.0015  1.0001  1.0009  1.0007  4.516869e+06   \n",
       "  2020-04-26  1587859200  1.0010  1.0013  0.9999  1.0009  1.0007  3.347495e+06   \n",
       "  2020-04-27  1587945600  1.0009  1.0017  1.0007  1.0015  1.0012  4.642460e+06   \n",
       "  2020-04-28  1588032000  1.0015  1.0019  1.0008  1.0016  1.0013  5.444346e+06   \n",
       "  2020-04-29  1588118400  1.0016  1.0030  1.0009  1.0009  1.0018  9.386555e+06   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  1.0002  1.0005  1.0002  1.0003  1.0003  3.189971e+07   \n",
       "  2022-04-11  1649635200  1.0003  1.0004  0.9999  1.0001  1.0001  1.980677e+08   \n",
       "  2022-04-12  1649721600  1.0001  1.0004  1.0000  1.0002  1.0002  1.630110e+08   \n",
       "  2022-04-13  1649808000  1.0002  1.0003  1.0000  1.0002  1.0002  1.377669e+08   \n",
       "  2022-04-14  1649894400  1.0002  1.0002  1.0001  1.0002  1.0001  2.032889e+06   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25   5765  \n",
       "  2020-04-26   4672  \n",
       "  2020-04-27   5344  \n",
       "  2020-04-28   5272  \n",
       "  2020-04-29  11251  \n",
       "  ...           ...  \n",
       "  2022-04-10  24198  \n",
       "  2022-04-11  52507  \n",
       "  2022-04-12  53999  \n",
       "  2022-04-13  47947  \n",
       "  2022-04-14   1525  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-14  1647216000  1.0053  1.0260  1.0045  1.0055  1.0065  5.048760e+06   \n",
       "  2022-03-15  1647302400  1.0060  1.0074  1.0042  1.0055  1.0052  5.524502e+06   \n",
       "  2022-03-16  1647388800  1.0053  1.0069  1.0034  1.0040  1.0046  4.045704e+06   \n",
       "  2022-03-17  1647475200  1.0044  1.0055  1.0025  1.0046  1.0042  2.881309e+06   \n",
       "  2022-03-18  1647561600  1.0044  1.0048  1.0025  1.0047  1.0040  1.436327e+06   \n",
       "  2022-03-19  1647648000  1.0047  1.0050  1.0032  1.0040  1.0042  1.037994e+06   \n",
       "  2022-03-20  1647734400  1.0040  1.0049  1.0027  1.0031  1.0039  6.090838e+05   \n",
       "  2022-03-21  1647820800  1.0032  1.0056  1.0029  1.0042  1.0039  2.216560e+06   \n",
       "  2022-03-22  1647907200  1.0040  1.0047  1.0031  1.0037  1.0040  1.534211e+06   \n",
       "  2022-03-23  1647993600  1.0033  1.0047  1.0020  1.0041  1.0035  2.623188e+06   \n",
       "  2022-03-24  1648080000  1.0036  1.0100  0.9980  0.9997  1.0023  5.262690e+06   \n",
       "  2022-03-25  1648166400  0.9997  1.0084  0.9978  1.0013  1.0004  2.522819e+06   \n",
       "  2022-03-26  1648252800  1.0007  1.0015  1.0001  1.0010  1.0008  7.238216e+05   \n",
       "  2022-03-27  1648339200  1.0010  1.0016  1.0000  1.0008  1.0008  1.490219e+06   \n",
       "  2022-03-28  1648425600  1.0008  1.0025  1.0000  1.0007  1.0007  3.901606e+06   \n",
       "  2022-03-29  1648512000  1.0007  1.5000  1.0002  1.0007  1.0057  5.494754e+06   \n",
       "  2022-03-30  1648598400  1.0009  1.0012  0.9950  1.0002  1.0002  2.287712e+06   \n",
       "  2022-03-31  1648684800  1.0002  1.0010  0.9974  1.0000  0.9999  3.585789e+06   \n",
       "  2022-04-01  1648771200  1.0001  1.0013  0.9992  1.0009  1.0008  2.548991e+06   \n",
       "  2022-04-02  1648857600  1.0010  1.0011  0.9992  1.0005  1.0004  1.879732e+06   \n",
       "  2022-04-03  1648944000  1.0005  1.0011  0.9994  1.0001  1.0000  1.701672e+06   \n",
       "  2022-04-04  1649030400  1.0002  1.0056  0.9997  1.0010  1.0013  6.952660e+06   \n",
       "  2022-04-05  1649116800  1.0010  1.0055  0.9998  1.0008  1.0010  6.206717e+06   \n",
       "  2022-04-06  1649203200  1.0008  1.0096  0.9996  1.0005  1.0006  8.163157e+06   \n",
       "  2022-04-07  1649289600  0.9997  1.0011  0.9995  1.0004  1.0005  7.369693e+06   \n",
       "  2022-04-08  1649376000  1.0004  1.0053  1.0001  1.0008  1.0007  6.750155e+06   \n",
       "  2022-04-09  1649462400  1.0011  1.0056  1.0000  1.0009  1.0010  2.773292e+06   \n",
       "  2022-04-10  1649548800  1.0009  1.0016  0.9999  1.0000  1.0006  3.307945e+06   \n",
       "  2022-04-11  1649635200  1.0000  1.0014  0.9995  1.0005  1.0003  5.104586e+06   \n",
       "  2022-04-12  1649721600  1.0004  1.0021  0.9996  1.0007  1.0006  6.788166e+06   \n",
       "  2022-04-13  1649808000  1.0007  1.0020  0.9998  1.0008  1.0010  7.462304e+06   \n",
       "  2022-04-14  1649894400  1.0008  1.0019  0.9999  1.0003  1.0005  3.800288e+05   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14   5901  \n",
       "  2022-03-15   4703  \n",
       "  2022-03-16   2786  \n",
       "  2022-03-17   4082  \n",
       "  2022-03-18    806  \n",
       "  2022-03-19    961  \n",
       "  2022-03-20    594  \n",
       "  2022-03-21   2707  \n",
       "  2022-03-22   2397  \n",
       "  2022-03-23   1421  \n",
       "  2022-03-24   3194  \n",
       "  2022-03-25   1577  \n",
       "  2022-03-26    716  \n",
       "  2022-03-27   1320  \n",
       "  2022-03-28   3216  \n",
       "  2022-03-29   1949  \n",
       "  2022-03-30   2839  \n",
       "  2022-03-31   4231  \n",
       "  2022-04-01   3333  \n",
       "  2022-04-02   2269  \n",
       "  2022-04-03   1880  \n",
       "  2022-04-04   4274  \n",
       "  2022-04-05   6465  \n",
       "  2022-04-06   4079  \n",
       "  2022-04-07   2223  \n",
       "  2022-04-08   3077  \n",
       "  2022-04-09   3617  \n",
       "  2022-04-10   4336  \n",
       "  2022-04-11   6440  \n",
       "  2022-04-12   9434  \n",
       "  2022-04-13   8499  \n",
       "  2022-04-14    824  ,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800   1.0095   1.0305   1.0055   1.0173   1.0219   \n",
       "  2020-04-26  1587859200   1.0158   1.0500   1.0125   1.0500   1.0366   \n",
       "  2020-04-27  1587945600   1.0500   1.0500   1.0500   1.0500   0.0000   \n",
       "  2020-04-28  1588032000   1.0569   1.0933   1.0477   1.0549   1.0626   \n",
       "  2020-04-29  1588118400   1.0602   1.1318   1.0602   1.0953   1.1082   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  24.6442  26.3770  23.0456  23.0701  24.7986   \n",
       "  2022-04-11  1649635200  23.0106  23.9255  21.3588  23.7268  22.3693   \n",
       "  2022-04-12  1649721600  23.8150  24.1927  21.7500  22.1163  22.9059   \n",
       "  2022-04-13  1649808000  22.0550  22.5112  20.3416  21.8480  21.1365   \n",
       "  2022-04-14  1649894400  21.6702  23.1948  21.6702  23.0072  22.5803   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25   6972.018794     59  \n",
       "  2020-04-26   5194.593395     40  \n",
       "  2020-04-27      0.000000      0  \n",
       "  2020-04-28  65382.204900    163  \n",
       "  2020-04-29  59514.566389    269  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  31209.512503   1101  \n",
       "  2022-04-11  40881.799939   1119  \n",
       "  2022-04-12  40935.483096   1409  \n",
       "  2022-04-13  36836.556252   1032  \n",
       "  2022-04-14   3667.140052    334  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap    volume  \\\n",
       "  dtime                                                                           \n",
       "  2021-08-03  1627948800  38618.3  39781.3  38259.2  39781.3  38686.9  0.112445   \n",
       "  2021-08-04  1628035200  38854.1  40187.9  38276.8  40187.9  39167.7  0.025735   \n",
       "  2021-08-05  1628121600  39900.5  39900.5  37500.0  39696.0  38743.4  0.062168   \n",
       "  2021-08-06  1628208000  40651.4  43000.8  40650.8  43000.8  42249.1  0.077730   \n",
       "  2021-08-07  1628294400  43542.9  47749.5  41467.3  47749.5  43970.8  0.813589   \n",
       "  ...                ...      ...      ...      ...      ...      ...       ...   \n",
       "  2022-04-10  1649548800  42791.9  43370.3  42069.3  42359.4  42250.7  1.168410   \n",
       "  2022-04-11  1649635200  41897.8  42327.5  39417.1  39541.4  40712.7  1.395084   \n",
       "  2022-04-12  1649721600  39413.8  40610.2  39332.7  40155.1  40052.2  1.517249   \n",
       "  2022-04-13  1649808000  40131.8  41343.1  39986.7  41343.1  40876.6  0.648049   \n",
       "  2022-04-14  1649894400  41343.1  41343.1  41343.1  41343.1      0.0  0.000000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-08-03      7  \n",
       "  2021-08-04      8  \n",
       "  2021-08-05      7  \n",
       "  2021-08-06     13  \n",
       "  2021-08-07     44  \n",
       "  ...           ...  \n",
       "  2022-04-10     21  \n",
       "  2022-04-11     27  \n",
       "  2022-04-12     33  \n",
       "  2022-04-13     13  \n",
       "  2022-04-14      0  \n",
       "  \n",
       "  [255 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-14  1647216000  0.4409  0.4608  0.4342  0.4608  0.4425   2884.976249   \n",
       "  2022-03-15  1647302400  0.4389  0.4473  0.3849  0.4322  0.4102  25832.136886   \n",
       "  2022-03-16  1647388800  0.4312  0.5746  0.4310  0.4984  0.4847  29806.653649   \n",
       "  2022-03-17  1647475200  0.5381  0.5716  0.4971  0.5116  0.5334  14158.117315   \n",
       "  2022-03-18  1647561600  0.5021  0.5880  0.4682  0.5880  0.5352   8567.695181   \n",
       "  2022-03-19  1647648000  0.5880  0.6642  0.5535  0.5930  0.6017  32698.167491   \n",
       "  2022-03-20  1647734400  0.5828  0.6072  0.5531  0.6004  0.5775   5975.550188   \n",
       "  2022-03-21  1647820800  0.5824  0.6199  0.5616  0.5990  0.5955   5219.628617   \n",
       "  2022-03-22  1647907200  0.5701  0.5991  0.5617  0.5639  0.5790   8337.499945   \n",
       "  2022-03-23  1647993600  0.5999  0.6099  0.5543  0.5900  0.5778  28362.520462   \n",
       "  2022-03-24  1648080000  0.5900  0.6900  0.5738  0.6067  0.6178  14415.965938   \n",
       "  2022-03-25  1648166400  0.6636  0.6708  0.5738  0.5739  0.6187  11933.590951   \n",
       "  2022-03-26  1648252800  0.5717  0.6488  0.5707  0.6343  0.6200   4502.838096   \n",
       "  2022-03-27  1648339200  0.6343  0.6343  0.5900  0.6200  0.6170   3237.520271   \n",
       "  2022-03-28  1648425600  0.6250  0.6677  0.5969  0.6223  0.6278  45533.670986   \n",
       "  2022-03-29  1648512000  0.6495  0.6799  0.6145  0.6395  0.6408   8170.351215   \n",
       "  2022-03-30  1648598400  0.6260  0.6800  0.6254  0.6800  0.6536   8286.450251   \n",
       "  2022-03-31  1648684800  0.6800  0.7003  0.6398  0.6406  0.6636  14873.584650   \n",
       "  2022-04-01  1648771200  0.6570  0.6869  0.5801  0.6386  0.6183  28169.917162   \n",
       "  2022-04-02  1648857600  0.6419  0.6527  0.6101  0.6101  0.6411   4402.036692   \n",
       "  2022-04-03  1648944000  0.6273  0.6530  0.5984  0.6123  0.6193   6850.152989   \n",
       "  2022-04-04  1649030400  0.6298  0.6298  0.5523  0.5891  0.5831  40512.486720   \n",
       "  2022-04-05  1649116800  0.5945  0.6054  0.5600  0.5600  0.5831   8501.450873   \n",
       "  2022-04-06  1649203200  0.5601  0.5741  0.4955  0.5423  0.5117  38134.372291   \n",
       "  2022-04-07  1649289600  0.5470  0.5470  0.4999  0.5393  0.5167  26695.560521   \n",
       "  2022-04-08  1649376000  0.5405  0.6300  0.5075  0.5123  0.5874  64928.623270   \n",
       "  2022-04-09  1649462400  0.5091  0.5442  0.5091  0.5201  0.5217  16633.141296   \n",
       "  2022-04-10  1649548800  0.5231  0.5442  0.5074  0.5079  0.5190  10679.933717   \n",
       "  2022-04-11  1649635200  0.5144  0.5253  0.4117  0.4805  0.4689  18869.211628   \n",
       "  2022-04-12  1649721600  0.4794  0.5277  0.4546  0.4628  0.4856  13158.807203   \n",
       "  2022-04-13  1649808000  0.4704  0.5174  0.4631  0.4812  0.4770  25194.938534   \n",
       "  2022-04-14  1649894400  0.4812  0.4812  0.4812  0.4812  0.0000      0.000000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14     10  \n",
       "  2022-03-15     46  \n",
       "  2022-03-16    108  \n",
       "  2022-03-17     93  \n",
       "  2022-03-18     86  \n",
       "  2022-03-19    121  \n",
       "  2022-03-20     48  \n",
       "  2022-03-21     58  \n",
       "  2022-03-22     48  \n",
       "  2022-03-23     86  \n",
       "  2022-03-24     89  \n",
       "  2022-03-25     59  \n",
       "  2022-03-26     27  \n",
       "  2022-03-27     24  \n",
       "  2022-03-28    123  \n",
       "  2022-03-29     54  \n",
       "  2022-03-30     67  \n",
       "  2022-03-31    155  \n",
       "  2022-04-01    144  \n",
       "  2022-04-02     35  \n",
       "  2022-04-03     60  \n",
       "  2022-04-04    173  \n",
       "  2022-04-05     47  \n",
       "  2022-04-06     88  \n",
       "  2022-04-07     63  \n",
       "  2022-04-08    218  \n",
       "  2022-04-09     52  \n",
       "  2022-04-10     37  \n",
       "  2022-04-11     94  \n",
       "  2022-04-12     58  \n",
       "  2022-04-13     90  \n",
       "  2022-04-14      0  ,\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2020-04-25  1587772800  0.002080  0.002178  0.002080  0.002118  0.002117   \n",
       "  2020-04-26  1587859200  0.002148  0.002500  0.002148  0.002429  0.002326   \n",
       "  2020-04-27  1587945600  0.002401  0.002401  0.002250  0.002348  0.002343   \n",
       "  2020-04-28  1588032000  0.002340  0.002386  0.002300  0.002328  0.002339   \n",
       "  2020-04-29  1588118400  0.002313  0.002565  0.002308  0.002430  0.002401   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800  0.143974  0.157539  0.143779  0.148057  0.151977   \n",
       "  2022-04-11  1649635200  0.148258  0.151343  0.133000  0.134052  0.141157   \n",
       "  2022-04-12  1649721600  0.134030  0.144474  0.133304  0.138099  0.137046   \n",
       "  2022-04-13  1649808000  0.137946  0.143278  0.136372  0.139866  0.139674   \n",
       "  2022-04-14  1649894400  0.139997  0.142151  0.139648  0.141558  0.140952   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  1.096883e+06     25  \n",
       "  2020-04-26  2.819715e+07    445  \n",
       "  2020-04-27  1.479699e+07    330  \n",
       "  2020-04-28  1.243749e+07    360  \n",
       "  2020-04-29  3.857693e+07    461  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  7.496968e+07   8707  \n",
       "  2022-04-11  9.223008e+07   7146  \n",
       "  2022-04-12  7.776192e+07   6775  \n",
       "  2022-04-13  2.726763e+07   4491  \n",
       "  2022-04-14  1.073959e+06    271  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-04-25  1587772800   5.585   5.875   5.568   5.749   5.724   6334.246564   \n",
       "  2020-04-26  1587859200   5.740   6.263   5.740   6.225   6.069  29665.057794   \n",
       "  2020-04-27  1587945600   6.253   6.266   5.964   6.102   6.103  16309.260905   \n",
       "  2020-04-28  1588032000   6.104   6.185   5.974   6.181   6.099   8971.774494   \n",
       "  2020-04-29  1588118400   6.184   6.900   6.156   6.731   6.625  55909.248290   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  42.024  42.549  40.248  40.248  41.796   5705.926841   \n",
       "  2022-04-11  1649635200  40.172  40.280  35.824  36.930  38.314  13782.010665   \n",
       "  2022-04-12  1649721600  37.137  39.103  36.474  38.163  37.490  13862.845878   \n",
       "  2022-04-13  1649808000  38.087  38.821  36.738  38.416  38.042  14502.931619   \n",
       "  2022-04-14  1649894400  38.588  39.115  38.444  38.884  38.855    643.850625   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25    283  \n",
       "  2020-04-26    634  \n",
       "  2020-04-27    425  \n",
       "  2020-04-28    218  \n",
       "  2020-04-29    997  \n",
       "  ...           ...  \n",
       "  2022-04-10    343  \n",
       "  2022-04-11    787  \n",
       "  2022-04-12    552  \n",
       "  2022-04-13    705  \n",
       "  2022-04-14     49  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800   187.81   198.00   185.81   194.52   193.83   \n",
       "  2020-04-26  1587859200   194.51   200.00   192.50   197.83   195.76   \n",
       "  2020-04-27  1587945600   197.85   199.33   187.30   196.84   194.66   \n",
       "  2020-04-28  1588032000   196.72   198.10   192.42   196.71   195.71   \n",
       "  2020-04-29  1588118400   197.05   219.09   196.75   215.45   208.77   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  3260.16  3307.51  3190.00  3201.59  3254.03   \n",
       "  2022-04-11  1649635200  3201.93  3213.60  2951.00  2978.32  3057.35   \n",
       "  2022-04-12  1649721600  2978.33  3084.10  2951.04  3029.95  3020.67   \n",
       "  2022-04-13  1649808000  3029.94  3131.00  2997.74  3117.99  3076.05   \n",
       "  2022-04-14  1649894400  3117.99  3135.00  3110.16  3132.17  3120.74   \n",
       "  \n",
       "                     volume  count  \n",
       "  dtime                             \n",
       "  2020-04-25   86637.305315  10757  \n",
       "  2020-04-26   77204.521678   9084  \n",
       "  2020-04-27   79847.054571   9578  \n",
       "  2020-04-28   68848.627276   7386  \n",
       "  2020-04-29  143120.489781  25440  \n",
       "  ...                   ...    ...  \n",
       "  2022-04-10   19517.261883  12589  \n",
       "  2022-04-11   45706.176903  28613  \n",
       "  2022-04-12   34644.325729  21463  \n",
       "  2022-04-13   32263.726984  19363  \n",
       "  2022-04-14     378.301249    765  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-04-25  1587772800   44.51   45.66   43.92   44.40   44.71  14592.023111   \n",
       "  2020-04-26  1587859200   44.37   45.37   43.81   44.66   44.48  10556.895922   \n",
       "  2020-04-27  1587945600   44.62   45.09   43.23   44.56   44.08  10653.944552   \n",
       "  2020-04-28  1588032000   44.53   46.17   43.60   45.78   44.84  13840.332748   \n",
       "  2020-04-29  1588118400   46.01   49.99   45.75   48.81   48.10  39560.390158   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  112.73  114.46  110.18  110.18  112.65  19792.684499   \n",
       "  2022-04-11  1649635200  110.20  110.45  101.95  102.41  104.38  29938.343779   \n",
       "  2022-04-12  1649721600  102.46  105.81  101.82  104.74  103.99  10527.223270   \n",
       "  2022-04-13  1649808000  104.86  110.71  104.04  110.54  107.63  20456.344618   \n",
       "  2022-04-14  1649894400  110.53  110.93  109.99  110.29  110.45   1151.144066   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25   1028  \n",
       "  2020-04-26    817  \n",
       "  2020-04-27    825  \n",
       "  2020-04-28    934  \n",
       "  2020-04-29   2283  \n",
       "  ...           ...  \n",
       "  2022-04-10   2488  \n",
       "  2022-04-11   3879  \n",
       "  2022-04-12   2699  \n",
       "  2022-04-13   3827  \n",
       "  2022-04-14    186  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap       volume  \\\n",
       "  dtime                                                                         \n",
       "  2020-04-25  1587772800   2.938   3.400   2.938   3.067   3.153  1068.557984   \n",
       "  2020-04-26  1587859200   3.002   3.123   2.981   3.035   3.040   405.083397   \n",
       "  2020-04-27  1587945600   3.068   3.165   3.038   3.110   3.089    70.178678   \n",
       "  2020-04-28  1588032000   3.070   3.192   3.035   3.192   3.066   189.925366   \n",
       "  2020-04-29  1588118400   3.142   3.539   3.063   3.492   3.310  1820.289635   \n",
       "  ...                ...     ...     ...     ...     ...     ...          ...   \n",
       "  2022-04-10  1649548800  57.441  60.480  56.681  56.724  58.870  1723.371454   \n",
       "  2022-04-11  1649635200  56.692  56.728  51.954  52.124  54.349  2240.504157   \n",
       "  2022-04-12  1649721600  52.228  55.083  52.195  54.368  53.896   864.325073   \n",
       "  2022-04-13  1649808000  54.572  56.439  54.483  56.146  55.582   443.173838   \n",
       "  2022-04-14  1649894400  56.200  56.360  56.200  56.360  56.202    10.100000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25     45  \n",
       "  2020-04-26     25  \n",
       "  2020-04-27     26  \n",
       "  2020-04-28     21  \n",
       "  2020-04-29    279  \n",
       "  ...           ...  \n",
       "  2022-04-10    232  \n",
       "  2022-04-11    251  \n",
       "  2022-04-12    150  \n",
       "  2022-04-13     75  \n",
       "  2022-04-14      3  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap       volume  \\\n",
       "  dtime                                                                         \n",
       "  2020-04-25  1587772800  10.154  10.309  10.097  10.156  10.220   994.978986   \n",
       "  2020-04-26  1587859200  10.233  10.605  10.201  10.390  10.440  3628.666779   \n",
       "  2020-04-27  1587945600  10.390  10.440  10.167  10.417  10.319  1191.827291   \n",
       "  2020-04-28  1588032000  10.433  10.571  10.273  10.529  10.470   460.184440   \n",
       "  2020-04-29  1588118400  10.535  11.229  10.504  10.900  10.897  9615.040661   \n",
       "  ...                ...     ...     ...     ...     ...     ...          ...   \n",
       "  2022-04-10  1649548800  14.334  14.626  14.127  14.282  14.381  1499.420749   \n",
       "  2022-04-11  1649635200  14.286  14.286  13.035  13.035  13.466  1577.312591   \n",
       "  2022-04-12  1649721600  13.097  13.824  13.045  13.418  13.399  1341.863078   \n",
       "  2022-04-13  1649808000  13.508  14.205  13.508  14.175  13.886  1506.379095   \n",
       "  2022-04-14  1649894400  14.178  14.208  14.178  14.208  14.188     0.430000   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25     75  \n",
       "  2020-04-26    160  \n",
       "  2020-04-27     80  \n",
       "  2020-04-28     44  \n",
       "  2020-04-29    368  \n",
       "  ...           ...  \n",
       "  2022-04-10     77  \n",
       "  2022-04-11    120  \n",
       "  2022-04-12    106  \n",
       "  2022-04-13     99  \n",
       "  2022-04-14      2  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2022-03-24  1648080000  228.00  336.90  100.00  144.00  137.89     22.815620   \n",
       "  2022-03-25  1648166400  134.51  134.51   30.00   31.85   45.30   8900.134190   \n",
       "  2022-03-26  1648252800   33.49   33.57   13.50   16.19   18.85  15356.859185   \n",
       "  2022-03-27  1648339200   16.12   19.00   13.76   16.91   16.70  11954.577063   \n",
       "  2022-03-28  1648425600   16.96   19.00   14.32   17.50   17.55   9594.518021   \n",
       "  2022-03-29  1648512000   17.50   17.50   15.29   15.91   16.50   6435.968816   \n",
       "  2022-03-30  1648598400   16.69   16.75   14.66   15.79   15.36   3992.138555   \n",
       "  2022-03-31  1648684800   14.70   18.67   14.52   14.75   15.56   1816.916808   \n",
       "  2022-04-01  1648771200   15.14   15.69   12.23   13.71   14.40   2235.498761   \n",
       "  2022-04-02  1648857600   14.51   14.54   13.71   13.80   14.01    952.796097   \n",
       "  2022-04-03  1648944000   14.24   15.53   11.30   13.81   13.64   9975.223377   \n",
       "  2022-04-04  1649030400   13.99   15.21   12.63   13.24   13.89   4158.428623   \n",
       "  2022-04-05  1649116800   13.25   13.97   12.30   12.56   12.89   2140.084851   \n",
       "  2022-04-06  1649203200   13.13   13.71   12.00   13.11   12.67    840.281393   \n",
       "  2022-04-07  1649289600   12.01   12.43   11.44   12.00   11.97    180.236289   \n",
       "  2022-04-08  1649376000   13.33   13.33   11.03   11.03   11.89   1845.965643   \n",
       "  2022-04-09  1649462400   12.40   12.40   10.77   12.10   11.61    461.039231   \n",
       "  2022-04-10  1649548800   11.39   12.59   11.39   12.29   11.95    285.327614   \n",
       "  2022-04-11  1649635200   12.24   12.38   10.54   11.26   11.52    545.365683   \n",
       "  2022-04-12  1649721600   10.65   15.52   10.64   11.50   11.94   1319.834898   \n",
       "  2022-04-13  1649808000   11.01   11.35   10.76   10.77   11.09    434.348918   \n",
       "  2022-04-14  1649894400   11.24   11.24   11.24   11.24   11.24      5.040600   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-24     24  \n",
       "  2022-03-25   1311  \n",
       "  2022-03-26    987  \n",
       "  2022-03-27    596  \n",
       "  2022-03-28    539  \n",
       "  2022-03-29    280  \n",
       "  2022-03-30    169  \n",
       "  2022-03-31    137  \n",
       "  2022-04-01    124  \n",
       "  2022-04-02     92  \n",
       "  2022-04-03    241  \n",
       "  2022-04-04    284  \n",
       "  2022-04-05     89  \n",
       "  2022-04-06     74  \n",
       "  2022-04-07     17  \n",
       "  2022-04-08     68  \n",
       "  2022-04-09     40  \n",
       "  2022-04-10     43  \n",
       "  2022-04-11     73  \n",
       "  2022-04-12     94  \n",
       "  2022-04-13     42  \n",
       "  2022-04-14      1  ,\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-04-25  1587772800  2.7146  2.8862  2.6434  2.8599  2.7894  1.451026e+06   \n",
       "  2020-04-26  1587859200  2.8547  2.8586  2.7316  2.7685  2.7968  9.395624e+05   \n",
       "  2020-04-27  1587945600  2.7729  2.7919  2.5600  2.7442  2.6689  1.030329e+06   \n",
       "  2020-04-28  1588032000  2.7432  2.8141  2.6632  2.7572  2.7751  1.105700e+06   \n",
       "  2020-04-29  1588118400  2.7600  3.0000  2.7432  2.9406  2.8881  2.117423e+06   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  3.1956  3.3000  3.1116  3.1116  3.2075  2.122373e+05   \n",
       "  2022-04-11  1649635200  3.1241  3.1413  2.9481  2.9578  3.0260  7.282340e+05   \n",
       "  2022-04-12  1649721600  2.9584  3.1955  2.9465  3.0640  3.0876  3.351667e+05   \n",
       "  2022-04-13  1649808000  3.0692  3.1958  3.0410  3.1756  3.1260  2.710257e+05   \n",
       "  2022-04-14  1649894400  3.1706  3.2271  3.1685  3.2271  3.2015  1.257837e+04   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25   4090  \n",
       "  2020-04-26   3027  \n",
       "  2020-04-27   3357  \n",
       "  2020-04-28   2745  \n",
       "  2020-04-29   5947  \n",
       "  ...           ...  \n",
       "  2022-04-10   1222  \n",
       "  2022-04-11   2759  \n",
       "  2022-04-12   2966  \n",
       "  2022-04-13   1434  \n",
       "  2022-04-14    128  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800   7509.4   7731.8   7442.2   7550.1   7557.8   \n",
       "  2020-04-26  1587859200   7550.0   7710.0   7480.0   7703.9   7613.5   \n",
       "  2020-04-27  1587945600   7706.6   7795.0   7629.7   7792.4   7716.1   \n",
       "  2020-04-28  1588032000   7792.4   7794.9   7671.1   7755.8   7729.4   \n",
       "  2020-04-29  1588118400   7753.0   8978.0   7727.6   8779.9   8403.2   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  42781.7  43416.4  41805.4  42160.0  42649.3   \n",
       "  2022-04-11  1649635200  42164.9  42411.0  39240.0  39534.6  40768.1   \n",
       "  2022-04-12  1649721600  39530.5  40683.4  39269.4  40078.7  39996.9   \n",
       "  2022-04-13  1649808000  40078.7  41548.4  39598.0  41150.0  40742.5   \n",
       "  2022-04-14  1649894400  41150.0  41394.7  41086.0  41357.6  41245.4   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25   5605.490597  12772  \n",
       "  2020-04-26   4518.490227  11633  \n",
       "  2020-04-27   6358.904211  15933  \n",
       "  2020-04-28   4236.805664   9992  \n",
       "  2020-04-29  20471.051907  54201  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10   1121.270951  15302  \n",
       "  2022-04-11   3303.899091  31753  \n",
       "  2022-04-12   2170.327376  24269  \n",
       "  2022-04-13   2414.270577  24018  \n",
       "  2022-04-14     64.766372   1100  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time      open      high       low     close      vwap  \\\n",
       "  dtime                                                                      \n",
       "  2020-04-25  1587772800  0.060923  0.063300  0.060797  0.061389  0.062296   \n",
       "  2020-04-26  1587859200  0.061758  0.062958  0.060953  0.062193  0.062167   \n",
       "  2020-04-27  1587945600  0.062132  0.068917  0.061433  0.067307  0.064124   \n",
       "  2020-04-28  1588032000  0.067000  0.071495  0.066568  0.068607  0.068894   \n",
       "  2020-04-29  1588118400  0.068769  0.073160  0.068414  0.072201  0.071064   \n",
       "  ...                ...       ...       ...       ...       ...       ...   \n",
       "  2022-04-10  1649548800  0.205000  0.207708  0.200404  0.200573  0.205366   \n",
       "  2022-04-11  1649635200  0.200723  0.200900  0.185590  0.186073  0.191622   \n",
       "  2022-04-12  1649721600  0.186717  0.193690  0.186001  0.192553  0.190370   \n",
       "  2022-04-13  1649808000  0.192034  0.197229  0.190842  0.196511  0.194688   \n",
       "  2022-04-14  1649894400  0.196290  0.198866  0.196086  0.198774  0.197005   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  3.426301e+06    488  \n",
       "  2020-04-26  3.135795e+06    423  \n",
       "  2020-04-27  5.167821e+06    907  \n",
       "  2020-04-28  6.557406e+06   1043  \n",
       "  2020-04-29  8.781694e+06   1375  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  3.314893e+06   1216  \n",
       "  2022-04-11  6.374511e+06   2204  \n",
       "  2022-04-12  4.436174e+06   1907  \n",
       "  2022-04-13  3.607588e+06   1298  \n",
       "  2022-04-14  1.017116e+05     61  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-04-25  1587772800   60.58   62.35   59.89   60.50   61.20   1362.938820   \n",
       "  2020-04-26  1587859200   60.54   61.98   59.98   61.30   60.94   1654.037033   \n",
       "  2020-04-27  1587945600   61.40   62.56   61.10   62.30   61.79   3591.143389   \n",
       "  2020-04-28  1588032000   62.29   63.80   61.37   62.27   62.56   4564.555292   \n",
       "  2020-04-29  1588118400   62.23   67.00   61.82   66.25   65.33   8907.436186   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  239.66  244.62  228.92  235.44  235.75  16055.055621   \n",
       "  2022-04-11  1649635200  235.77  243.90  215.94  226.68  224.16  21521.161916   \n",
       "  2022-04-12  1649721600  226.74  249.99  224.72  232.30  239.16  18109.229865   \n",
       "  2022-04-13  1649808000  232.83  238.43  227.64  237.09  233.58  11733.856585   \n",
       "  2022-04-14  1649894400  237.02  239.07  236.12  237.65  238.73    708.095369   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25    395  \n",
       "  2020-04-26    393  \n",
       "  2020-04-27    643  \n",
       "  2020-04-28    720  \n",
       "  2020-04-29   1515  \n",
       "  ...           ...  \n",
       "  2022-04-10   3990  \n",
       "  2022-04-11   5328  \n",
       "  2022-04-12   6059  \n",
       "  2022-04-13   2983  \n",
       "  2022-04-14    296  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800  0.19342  0.19805  0.19169  0.19437  0.19471   \n",
       "  2020-04-26  1587859200  0.19430  0.19756  0.19229  0.19706  0.19543   \n",
       "  2020-04-27  1587945600  0.19682  0.19974  0.19448  0.19792  0.19668   \n",
       "  2020-04-28  1588032000  0.19782  0.21844  0.19501  0.21489  0.20760   \n",
       "  2020-04-29  1588118400  0.21441  0.23500  0.20483  0.22662  0.22177   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  0.76292  0.77281  0.75274  0.75418  0.76377   \n",
       "  2022-04-11  1649635200  0.75539  0.75539  0.68161  0.69447  0.72005   \n",
       "  2022-04-12  1649721600  0.69820  0.72589  0.69266  0.71511  0.70614   \n",
       "  2022-04-13  1649808000  0.71539  0.72530  0.70240  0.72359  0.71660   \n",
       "  2022-04-14  1649894400  0.72294  0.73256  0.72235  0.73256  0.72659   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  6.549128e+06   1755  \n",
       "  2020-04-26  1.019279e+07   1998  \n",
       "  2020-04-27  1.184228e+07   2352  \n",
       "  2020-04-28  1.619262e+07   4313  \n",
       "  2020-04-29  3.516058e+07   6918  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  1.572674e+06   1385  \n",
       "  2022-04-11  1.018305e+07   5346  \n",
       "  2022-04-12  4.572390e+06   3529  \n",
       "  2022-04-13  3.001118e+06   2546  \n",
       "  2022-04-14  2.538011e+05    175  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time    open    high     low   close    vwap        volume  \\\n",
       "  dtime                                                                          \n",
       "  2020-04-25  1587772800   44.11   45.85   43.47   44.39   44.71   3651.177644   \n",
       "  2020-04-26  1587859200   44.65   45.33   43.95   44.76   44.68   1067.345846   \n",
       "  2020-04-27  1587945600   44.83   44.98   42.41   44.40   43.53   3585.226198   \n",
       "  2020-04-28  1588032000   44.51   44.88   43.12   44.88   43.94   2395.672049   \n",
       "  2020-04-29  1588118400   44.84   47.72   44.63   47.10   46.37   8204.532725   \n",
       "  ...                ...     ...     ...     ...     ...     ...           ...   \n",
       "  2022-04-10  1649548800  169.53  169.78  160.63  161.02  166.03   3105.257261   \n",
       "  2022-04-11  1649635200  160.59  163.25  141.61  142.71  150.37  38118.003418   \n",
       "  2022-04-12  1649721600  142.72  149.86  141.13  147.50  144.91   8068.852005   \n",
       "  2022-04-13  1649808000  147.03  153.05  144.00  153.03  151.15  17066.060448   \n",
       "  2022-04-14  1649894400  152.53  154.11  151.66  154.11  152.17   1496.403638   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2020-04-25    786  \n",
       "  2020-04-26    192  \n",
       "  2020-04-27    472  \n",
       "  2020-04-28    417  \n",
       "  2020-04-29    956  \n",
       "  ...           ...  \n",
       "  2022-04-10    771  \n",
       "  2022-04-11   2755  \n",
       "  2022-04-12   1379  \n",
       "  2022-04-13   1181  \n",
       "  2022-04-14    137  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-10-15  1602720000  15150.0  17750.0  14300.0  14555.0  15066.0   \n",
       "  2020-10-16  1602806400  14500.0  15500.0  13410.0  13410.0  14112.0   \n",
       "  2020-10-17  1602892800  13413.0  14442.0  12865.0  14101.0  13702.0   \n",
       "  2020-10-18  1602979200  14027.0  16999.0  14019.0  15250.0  15054.0   \n",
       "  2020-10-19  1603065600  15592.0  17489.0   9995.0  13876.0  14363.0   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  20550.0  20875.0  20034.0  20153.0  20553.0   \n",
       "  2022-04-11  1649635200  20082.0  20085.0  18296.0  18556.0  18798.0   \n",
       "  2022-04-12  1649721600  18620.0  19423.0  18389.0  18792.0  18794.0   \n",
       "  2022-04-13  1649808000  18804.0  19468.0  18747.0  19379.0  19114.0   \n",
       "  2022-04-14  1649894400  19368.0  19368.0  19238.0  19343.0  19345.0   \n",
       "  \n",
       "                 volume  count  \n",
       "  dtime                         \n",
       "  2020-10-15  24.537968    428  \n",
       "  2020-10-16  15.364151    306  \n",
       "  2020-10-17   6.226707    183  \n",
       "  2020-10-18  26.181045    588  \n",
       "  2020-10-19  22.705136    469  \n",
       "  ...               ...    ...  \n",
       "  2022-04-10   2.991673     79  \n",
       "  2022-04-11  10.140462    226  \n",
       "  2022-04-12   1.096981     81  \n",
       "  2022-04-13   9.001151    122  \n",
       "  2022-04-14   0.277933      8  \n",
       "  \n",
       "  [547 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2022-03-14  1647216000  2.417  2.527  2.416  2.416  2.471    9343.969949   \n",
       "  2022-03-15  1647302400  2.428  2.474  2.388  2.402  2.421    6952.522168   \n",
       "  2022-03-16  1647388800  2.396  2.488  2.349  2.488  2.414   17278.044324   \n",
       "  2022-03-17  1647475200  2.505  2.648  2.476  2.555  2.549   74484.974821   \n",
       "  2022-03-18  1647561600  2.531  2.593  2.473  2.566  2.528   15496.551413   \n",
       "  2022-03-19  1647648000  2.596  2.772  2.573  2.713  2.689   30961.600275   \n",
       "  2022-03-20  1647734400  2.705  2.706  2.522  2.623  2.638   21935.758937   \n",
       "  2022-03-21  1647820800  2.600  2.652  2.577  2.599  2.614    2499.375383   \n",
       "  2022-03-22  1647907200  2.636  2.713  2.636  2.669  2.688    9550.527757   \n",
       "  2022-03-23  1647993600  2.617  2.857  2.613  2.740  2.760   33023.746642   \n",
       "  2022-03-24  1648080000  2.788  3.037  2.788  2.866  2.882   53734.796061   \n",
       "  2022-03-25  1648166400  2.875  2.992  2.718  2.764  2.886   57194.294979   \n",
       "  2022-03-26  1648252800  2.763  2.829  2.747  2.786  2.789    8563.214392   \n",
       "  2022-03-27  1648339200  2.791  2.936  2.767  2.913  2.842   11638.501064   \n",
       "  2022-03-28  1648425600  2.945  3.172  2.874  2.889  3.038   47243.915679   \n",
       "  2022-03-29  1648512000  2.900  3.069  2.855  2.930  2.946   62363.705012   \n",
       "  2022-03-30  1648598400  2.931  3.222  2.824  3.072  3.066  134170.257729   \n",
       "  2022-03-31  1648684800  3.132  3.210  2.876  2.998  3.046  149697.199665   \n",
       "  2022-04-01  1648771200  2.989  3.431  2.927  3.248  3.196  199925.615654   \n",
       "  2022-04-02  1648857600  3.236  3.552  3.100  3.119  3.308  162448.776369   \n",
       "  2022-04-03  1648944000  3.113  3.239  3.057  3.195  3.163   67010.872596   \n",
       "  2022-04-04  1649030400  3.142  3.175  2.896  3.018  3.045   50169.760035   \n",
       "  2022-04-05  1649116800  3.041  3.090  2.835  2.835  3.035   44821.448303   \n",
       "  2022-04-06  1649203200  2.809  2.809  2.520  2.525  2.664   89768.049724   \n",
       "  2022-04-07  1649289600  2.497  2.614  2.453  2.606  2.533   31288.197578   \n",
       "  2022-04-08  1649376000  2.613  2.635  2.465  2.470  2.562   41241.900293   \n",
       "  2022-04-09  1649462400  2.481  2.499  2.411  2.480  2.458   39563.650267   \n",
       "  2022-04-10  1649548800  2.498  2.538  2.413  2.427  2.489   27535.501879   \n",
       "  2022-04-11  1649635200  2.395  2.405  2.177  2.192  2.281   64090.342619   \n",
       "  2022-04-12  1649721600  2.196  2.274  2.177  2.235  2.223   32490.117800   \n",
       "  2022-04-13  1649808000  2.233  2.311  2.201  2.284  2.285   15844.325686   \n",
       "  2022-04-14  1649894400  2.260  2.282  2.259  2.282  2.267    4953.545101   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2022-03-14     42  \n",
       "  2022-03-15     28  \n",
       "  2022-03-16     50  \n",
       "  2022-03-17    145  \n",
       "  2022-03-18     65  \n",
       "  2022-03-19    115  \n",
       "  2022-03-20     71  \n",
       "  2022-03-21     18  \n",
       "  2022-03-22     29  \n",
       "  2022-03-23     77  \n",
       "  2022-03-24    146  \n",
       "  2022-03-25    133  \n",
       "  2022-03-26     35  \n",
       "  2022-03-27     57  \n",
       "  2022-03-28    163  \n",
       "  2022-03-29    124  \n",
       "  2022-03-30    256  \n",
       "  2022-03-31    260  \n",
       "  2022-04-01    344  \n",
       "  2022-04-02    294  \n",
       "  2022-04-03    122  \n",
       "  2022-04-04    106  \n",
       "  2022-04-05    101  \n",
       "  2022-04-06    149  \n",
       "  2022-04-07     47  \n",
       "  2022-04-08     76  \n",
       "  2022-04-09     50  \n",
       "  2022-04-10     47  \n",
       "  2022-04-11     98  \n",
       "  2022-04-12     91  \n",
       "  2022-04-13     37  \n",
       "  2022-04-14     14  ,\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800  1.08082  1.08750  1.07806  1.07928  1.08234   \n",
       "  2020-04-26  1587859200  1.08130  1.08187  1.07643  1.08187  1.08034   \n",
       "  2020-04-27  1587945600  1.08038  1.08427  1.07900  1.08114  1.08199   \n",
       "  2020-04-28  1588032000  1.08086  1.08627  1.07912  1.08055  1.08216   \n",
       "  2020-04-29  1588118400  1.08100  1.08994  1.07943  1.08763  1.08376   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  1.08642  1.09208  1.08575  1.08796  1.08822   \n",
       "  2022-04-11  1649635200  1.08805  1.09313  1.08695  1.08747  1.08869   \n",
       "  2022-04-12  1649721600  1.08747  1.08979  1.08121  1.08215  1.08615   \n",
       "  2022-04-13  1649808000  1.08243  1.08980  1.08090  1.08933  1.08438   \n",
       "  2022-04-14  1649894400  1.08927  1.08978  1.08815  1.08915  1.08882   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  9.050504e+05   1216  \n",
       "  2020-04-26  2.904695e+05    646  \n",
       "  2020-04-27  6.655837e+05   1270  \n",
       "  2020-04-28  2.437886e+05    648  \n",
       "  2020-04-29  1.097523e+06   1790  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  8.649258e+06   8542  \n",
       "  2022-04-11  1.228627e+07  15060  \n",
       "  2022-04-12  3.765970e+07  22410  \n",
       "  2022-04-13  2.396945e+07  15975  \n",
       "  2022-04-14  1.382810e+05    257  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time     open     high      low    close     vwap  \\\n",
       "  dtime                                                                 \n",
       "  2020-04-25  1587772800  1.23355  1.23355  1.22685  1.22703  1.23107   \n",
       "  2020-04-26  1587859200  1.22701  1.23023  1.22517  1.22677  1.22754   \n",
       "  2020-04-27  1587945600  1.23524  1.23866  1.22515  1.23471  1.23424   \n",
       "  2020-04-28  1588032000  1.23383  1.24482  1.23203  1.23772  1.23948   \n",
       "  2020-04-29  1588118400  1.23693  1.24285  1.20244  1.23882  1.23552   \n",
       "  ...                ...      ...      ...      ...      ...      ...   \n",
       "  2022-04-10  1649548800  1.30251  1.30383  1.30039  1.30277  1.30218   \n",
       "  2022-04-11  1649635200  1.30295  1.30520  1.29871  1.30138  1.30143   \n",
       "  2022-04-12  1649721600  1.30138  1.30519  1.29934  1.29984  1.30216   \n",
       "  2022-04-13  1649808000  1.30004  1.31324  1.29753  1.31245  1.30635   \n",
       "  2022-04-14  1649894400  1.31250  1.31309  1.31163  1.31285  1.31261   \n",
       "  \n",
       "                    volume  count  \n",
       "  dtime                            \n",
       "  2020-04-25  3.165094e+04    122  \n",
       "  2020-04-26  2.017754e+04     58  \n",
       "  2020-04-27  2.267173e+04    118  \n",
       "  2020-04-28  5.594296e+04    217  \n",
       "  2020-04-29  1.165476e+05    283  \n",
       "  ...                  ...    ...  \n",
       "  2022-04-10  1.396872e+06   4090  \n",
       "  2022-04-11  3.352382e+06   5134  \n",
       "  2022-04-12  2.136562e+06   4393  \n",
       "  2022-04-13  1.720112e+06   3521  \n",
       "  2022-04-14  2.085525e+04     95  \n",
       "  \n",
       "  [720 rows x 8 columns],\n",
       "  1649808000),\n",
       " (                  time   open   high    low  close   vwap         volume  \\\n",
       "  dtime                                                                      \n",
       "  2021-05-14  1620950400  1.900  2.000  1.635  1.760  1.766   97188.593568   \n",
       "  2021-05-15  1621036800  1.760  1.760  1.539  1.554  1.613  125274.145889   \n",
       "  2021-05-16  1621123200  1.554  2.000  1.479  1.579  1.657  248511.808119   \n",
       "  2021-05-17  1621209600  1.564  1.572  1.395  1.478  1.471   32933.527489   \n",
       "  2021-05-18  1621296000  1.490  1.745  1.476  1.608  1.612  163190.692048   \n",
       "  ...                ...    ...    ...    ...    ...    ...            ...   \n",
       "  2022-04-10  1649548800  0.797  0.811  0.748  0.748  0.778   36146.257266   \n",
       "  2022-04-11  1649635200  0.750  0.755  0.679  0.680  0.706  147480.284807   \n",
       "  2022-04-12  1649721600  0.685  0.717  0.662  0.711  0.702  204913.840797   \n",
       "  2022-04-13  1649808000  0.712  0.776  0.706  0.763  0.737  641735.105521   \n",
       "  2022-04-14  1649894400  0.762  0.768  0.759  0.766  0.765   12669.530649   \n",
       "  \n",
       "              count  \n",
       "  dtime              \n",
       "  2021-05-14    580  \n",
       "  2021-05-15    420  \n",
       "  2021-05-16    840  \n",
       "  2021-05-17    217  \n",
       "  2021-05-18    408  \n",
       "  ...           ...  \n",
       "  2022-04-10    477  \n",
       "  2022-04-11   1077  \n",
       "  2022-04-12    953  \n",
       "  2022-04-13   1054  \n",
       "  2022-04-14     48  \n",
       "  \n",
       "  [336 rows x 8 columns],\n",
       "  1649808000)]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "147"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "len(list_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
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       "      <th>2020-04-25</th>\n",
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       "      <th>2020-04-27</th>\n",
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       "      <th>2020-04-28</th>\n",
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       "      <th>2020-04-29</th>\n",
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       "                  time    open    high     low   close    vwap        volume  \\\n",
       "dtime                                                                          \n",
       "2020-04-25  1587772800  7509.4  7731.8  7442.2  7550.1  7557.8   5605.490597   \n",
       "2020-04-26  1587859200  7550.0  7710.0  7480.0  7703.9  7613.5   4518.490227   \n",
       "2020-04-27  1587945600  7706.6  7795.0  7629.7  7792.4  7716.1   6358.904211   \n",
       "2020-04-28  1588032000  7792.4  7794.9  7671.1  7755.8  7729.4   4236.805664   \n",
       "2020-04-29  1588118400  7753.0  8978.0  7727.6  8779.9  8403.2  20471.051907   \n",
       "\n",
       "            count  \n",
       "dtime              \n",
       "2020-04-25  12772  \n",
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       "2020-04-28   9992  \n",
       "2020-04-29  54201  "
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     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ohlc = k.get_ohlc_data('BTCUSD', interval=1440, ascending = True)\n",
    "ohlc[0].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "SMA's"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
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       "      <th>2022-04-13</th>\n",
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      ],
      "text/plain": [
       "                  time     open     high      low    close     vwap  \\\n",
       "dtime                                                                 \n",
       "2022-04-09  1649462400  42282.6  42805.1  42111.0  42764.0  42428.0   \n",
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       "2022-04-13  1649808000  40078.7  41548.4  39598.0  41307.0  40736.2   \n",
       "\n",
       "                 volume  count     20 SMA  \n",
       "dtime                                      \n",
       "2022-04-09   621.746082  13343  44776.395  \n",
       "2022-04-10  1121.270951  15302  44833.680  \n",
       "2022-04-11  3303.899091  31753  44691.520  \n",
       "2022-04-12  2170.327376  24269  44549.940  \n",
       "2022-04-13  2376.591454  23394  44415.840  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "ohlc[0]['20 SMA'] = ohlc[0]['close'].rolling(20).mean()\n",
    "ohlc[0].tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "import plotly.express as px\n",
    "\n",
    "fig = go.Figure(data=[go.Candlestick(x = ohlc[0].index,\n",
    "                                    open = ohlc[0]['open'],\n",
    "                                    high = ohlc[0]['high'],\n",
    "                                    low = ohlc[0]['low'],\n",
    "                                    close = ohlc[0]['close'],\n",
    "                                    ),\n",
    "                     go.Scatter(x=ohlc[0].index, y=ohlc[0]['20 SMA'], line=dict(color='purple', width=1))])\n",
    "\n",
    "fig.show()"
   ]
  }
 ],
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