Fundamental_information.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d746db90-bb43-46df-97c7-cc44801cfe52",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data Handling\n",
    "import pandas as pd\n",
    "\n",
    "# Date time format\n",
    "import datetime as dt\n",
    "\n",
    "# Visualize Results\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn')\n",
    "\n",
    "# Pull in financial information\n",
    "import yfinance as yf \n",
    "\n",
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45ef9965-3f8d-49e1-a8b7-e8e7bc39bf37",
   "metadata": {
    "tags": []
   },
   "source": [
    "### First 2 cells are commented out for efficiency.\n",
    "Cell 1 initated all tickers in the Dow Jones Industrial Average, to be organized in a list to be used in a loop\n",
    "\n",
    "For loop iterates through the tickers list and pulls their fundamental information in dictionary format\n",
    "\n",
    "Cell 2 - Saves this information into a CSV file to be read in, saving about 5 minutes of load time for the API to pull all data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5660af80-ee75-4097-847e-4ea0ec683675",
   "metadata": {},
   "outputs": [],
   "source": [
    "# List all tickers in the Dow30\n",
    "# tickers = ('AXP', 'AMGN', 'AAPL', 'BA', 'CAT', 'CSCO', 'CVX', 'GS', 'HD', 'HON', 'IBM', 'INTC', 'JNJ', 'KO', 'JPM', 'MCD', 'MMM', 'MRK', 'MSFT', 'NKE', 'PG', 'TRV', 'UNH','CRM', 'VZ', 'V', 'WBA', 'WMT', 'DIS', 'DOW')\n",
    "\n",
    "# For loop to read in all tickers into the API and pull their fundamental information\n",
    "# '.info' pull all the fundamental information into a dictionary\n",
    "\n",
    "# fundamental_info = []\n",
    "# for ticker in tickers:\n",
    "#     fundamental_info.append(yf.Ticker(ticker).info)\n",
    "\n",
    "# fundamental_info    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "87dfc11a-8ee5-4b06-b60e-70306fc0a147",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the DataFrame to the `Resources` folder\n",
    "\n",
    "# fundamental_info_df.to_csv(\"./Resources/fundamental_info_df.csv\")\n",
    "# fundamental_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1370b3af-8b62-499d-a086-17ed2f110ec3",
   "metadata": {},
   "outputs": [
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       "      <td>Technology</td>\n",
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       "      <th>CVX</th>\n",
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       "      <td>Energy</td>\n",
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       "      <td>https://www.chevron.com</td>\n",
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       "      <td>30339</td>\n",
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       "      <td>500000.0</td>\n",
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       "      <td>1.7929</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>35.2850</td>\n",
       "      <td>35.360</td>\n",
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       "      <td>4.8047</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>JNJ</th>\n",
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       "      <td>Healthcare</td>\n",
       "      <td>141700.0</td>\n",
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       "      <td>New Brunswick</td>\n",
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       "      <td>NJ</td>\n",
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       "      <td>https://www.jnj.com</td>\n",
       "      <td>...</td>\n",
       "      <td>171.1600</td>\n",
       "      <td>171.400</td>\n",
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       "      <td>4.0508</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>79000.0</td>\n",
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       "      <td>https://www.coca-colacompany.com</td>\n",
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       "      <td>63.810</td>\n",
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       "      <td>3.5643</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>JPM</th>\n",
       "      <td>10179</td>\n",
       "      <td>Financial Services</td>\n",
       "      <td>278494.0</td>\n",
       "      <td>JPMorgan Chase &amp; Co. operates as a financial s...</td>\n",
       "      <td>New York</td>\n",
       "      <td>212 270 6000</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.jpmorganchase.com</td>\n",
       "      <td>...</td>\n",
       "      <td>116.0000</td>\n",
       "      <td>112.600</td>\n",
       "      <td>https://logo.clearbit.com/jpmorganchase.com</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>MCD</th>\n",
       "      <td>60607</td>\n",
       "      <td>Consumer Cyclical</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>McDonald's Corporation operates and franchises...</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>630 623 3000</td>\n",
       "      <td>IL</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://corporate.mcdonalds.com</td>\n",
       "      <td>...</td>\n",
       "      <td>258.5300</td>\n",
       "      <td>258.849</td>\n",
       "      <td>https://logo.clearbit.com/corporate.mcdonalds.com</td>\n",
       "      <td>3.7428</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>MMM</th>\n",
       "      <td>55144-1000</td>\n",
       "      <td>Industrials</td>\n",
       "      <td>95000.0</td>\n",
       "      <td>3M Company operates as a diversified technolog...</td>\n",
       "      <td>Saint Paul</td>\n",
       "      <td>651 733 1110</td>\n",
       "      <td>MN</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.3m.com</td>\n",
       "      <td>...</td>\n",
       "      <td>147.4350</td>\n",
       "      <td>147.300</td>\n",
       "      <td>https://logo.clearbit.com/3m.com</td>\n",
       "      <td>2.4144</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MRK</th>\n",
       "      <td>07033</td>\n",
       "      <td>Healthcare</td>\n",
       "      <td>67000.0</td>\n",
       "      <td>Merck &amp; Co., Inc. operates as a healthcare com...</td>\n",
       "      <td>Kenilworth</td>\n",
       "      <td>908 740 4000</td>\n",
       "      <td>NJ</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.merck.com</td>\n",
       "      <td>...</td>\n",
       "      <td>87.1900</td>\n",
       "      <td>86.230</td>\n",
       "      <td>https://logo.clearbit.com/merck.com</td>\n",
       "      <td>1.1323</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSFT</th>\n",
       "      <td>98052-6399</td>\n",
       "      <td>Technology</td>\n",
       "      <td>221000.0</td>\n",
       "      <td>Microsoft Corporation develops, licenses, and ...</td>\n",
       "      <td>Redmond</td>\n",
       "      <td>425 882 8080</td>\n",
       "      <td>WA</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.microsoft.com</td>\n",
       "      <td>...</td>\n",
       "      <td>282.3700</td>\n",
       "      <td>279.130</td>\n",
       "      <td>https://logo.clearbit.com/microsoft.com</td>\n",
       "      <td>2.1040</td>\n",
       "      <td>425 706 7329</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NKE</th>\n",
       "      <td>97005-6453</td>\n",
       "      <td>Consumer Cyclical</td>\n",
       "      <td>79100.0</td>\n",
       "      <td>NIKE, Inc., together with its subsidiaries, de...</td>\n",
       "      <td>Beaverton</td>\n",
       "      <td>503 671 6453</td>\n",
       "      <td>OR</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://investors.nike.com</td>\n",
       "      <td>...</td>\n",
       "      <td>113.6256</td>\n",
       "      <td>112.970</td>\n",
       "      <td>https://logo.clearbit.com/investors.nike.com</td>\n",
       "      <td>2.4180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PG</th>\n",
       "      <td>45202</td>\n",
       "      <td>Consumer Defensive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Procter &amp; Gamble Company provides branded ...</td>\n",
       "      <td>Cincinnati</td>\n",
       "      <td>513 983 1100</td>\n",
       "      <td>OH</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.pginvestor.com</td>\n",
       "      <td>...</td>\n",
       "      <td>143.9700</td>\n",
       "      <td>144.050</td>\n",
       "      <td>https://logo.clearbit.com/pginvestor.com</td>\n",
       "      <td>4.4144</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TRV</th>\n",
       "      <td>10017</td>\n",
       "      <td>Financial Services</td>\n",
       "      <td>30184.0</td>\n",
       "      <td>The Travelers Companies, Inc., through its sub...</td>\n",
       "      <td>New York</td>\n",
       "      <td>917 778 6000</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.travelers.com</td>\n",
       "      <td>...</td>\n",
       "      <td>159.0500</td>\n",
       "      <td>157.700</td>\n",
       "      <td>https://logo.clearbit.com/travelers.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UNH</th>\n",
       "      <td>55343</td>\n",
       "      <td>Healthcare</td>\n",
       "      <td>350000.0</td>\n",
       "      <td>UnitedHealth Group Incorporated operates as a ...</td>\n",
       "      <td>Minnetonka</td>\n",
       "      <td>952 936 1300</td>\n",
       "      <td>MN</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.unitedhealthgroup.com</td>\n",
       "      <td>...</td>\n",
       "      <td>531.3475</td>\n",
       "      <td>533.750</td>\n",
       "      <td>https://logo.clearbit.com/unitedhealthgroup.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9900 Bren Road East</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33ae4437-560d-3a42-9aa4-234d48c993c5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRM</th>\n",
       "      <td>94105</td>\n",
       "      <td>Technology</td>\n",
       "      <td>77810.0</td>\n",
       "      <td>Salesforce, Inc. provides customer relationshi...</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>415 901 7000</td>\n",
       "      <td>CA</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.salesforce.com</td>\n",
       "      <td>...</td>\n",
       "      <td>189.9650</td>\n",
       "      <td>187.360</td>\n",
       "      <td>https://logo.clearbit.com/salesforce.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>415 901 7040</td>\n",
       "      <td>3rd Floor 415 Mission Street</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01d3fcca-fdd3-37b7-b601-1bfd3a695ce7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VZ</th>\n",
       "      <td>10036</td>\n",
       "      <td>Communication Services</td>\n",
       "      <td>119400.0</td>\n",
       "      <td>Verizon Communications Inc., through its subsi...</td>\n",
       "      <td>New York</td>\n",
       "      <td>212 395 1000</td>\n",
       "      <td>NY</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.verizon.com</td>\n",
       "      <td>...</td>\n",
       "      <td>44.8200</td>\n",
       "      <td>44.430</td>\n",
       "      <td>https://logo.clearbit.com/verizon.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>a708480c-0400-3ea0-b2d3-ca752db5c3b1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>94128-8999</td>\n",
       "      <td>Financial Services</td>\n",
       "      <td>21500.0</td>\n",
       "      <td>Visa Inc. operates as a payments technology co...</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>650 432 3200</td>\n",
       "      <td>CA</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://usa.visa.com</td>\n",
       "      <td>...</td>\n",
       "      <td>214.4700</td>\n",
       "      <td>210.280</td>\n",
       "      <td>https://logo.clearbit.com/usa.visa.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5206560a-306a-3e08-9a43-7fd258eb57ce</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WBA</th>\n",
       "      <td>60015</td>\n",
       "      <td>Healthcare</td>\n",
       "      <td>315000.0</td>\n",
       "      <td>Walgreens Boots Alliance, Inc. operates as a p...</td>\n",
       "      <td>Deerfield</td>\n",
       "      <td>847 315 3700</td>\n",
       "      <td>IL</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.walgreensbootsalliance.com</td>\n",
       "      <td>...</td>\n",
       "      <td>38.8350</td>\n",
       "      <td>38.980</td>\n",
       "      <td>https://logo.clearbit.com/walgreensbootsallian...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WMT</th>\n",
       "      <td>72716</td>\n",
       "      <td>Consumer Defensive</td>\n",
       "      <td>2300000.0</td>\n",
       "      <td>Walmart Inc. engages in the operation of retai...</td>\n",
       "      <td>Bentonville</td>\n",
       "      <td>479 273 4000</td>\n",
       "      <td>AR</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.stock.walmart.com</td>\n",
       "      <td>...</td>\n",
       "      <td>125.4900</td>\n",
       "      <td>125.500</td>\n",
       "      <td>https://logo.clearbit.com/stock.walmart.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>902d429a-38af-3903-a1d7-3374c3560928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIS</th>\n",
       "      <td>91521</td>\n",
       "      <td>Communication Services</td>\n",
       "      <td>152000.0</td>\n",
       "      <td>The Walt Disney Company, together with its sub...</td>\n",
       "      <td>Burbank</td>\n",
       "      <td>818 560 1000</td>\n",
       "      <td>CA</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.thewaltdisneycompany.com</td>\n",
       "      <td>...</td>\n",
       "      <td>106.6907</td>\n",
       "      <td>106.870</td>\n",
       "      <td>https://logo.clearbit.com/thewaltdisneycompany...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>aef70f8f-79be-3478-9d04-39acf5bad0ef</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOW</th>\n",
       "      <td>48674</td>\n",
       "      <td>Basic Materials</td>\n",
       "      <td>35700.0</td>\n",
       "      <td>Dow Inc. provides various materials science so...</td>\n",
       "      <td>Midland</td>\n",
       "      <td>989 636 1000</td>\n",
       "      <td>MI</td>\n",
       "      <td>United States</td>\n",
       "      <td>[]</td>\n",
       "      <td>https://www.dow.com</td>\n",
       "      <td>...</td>\n",
       "      <td>51.3750</td>\n",
       "      <td>50.580</td>\n",
       "      <td>https://logo.clearbit.com/dow.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>989 832 1456</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9510e206-86db-3ea5-bd8f-fbd901232728</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 159 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               zip                  sector  fullTimeEmployees  \\\n",
       "symbol                                                          \n",
       "AXP          10285      Financial Services            64000.0   \n",
       "AMGN    91320-1799              Healthcare            24200.0   \n",
       "AAPL         95014              Technology           154000.0   \n",
       "BA      60606-1596             Industrials           142000.0   \n",
       "CAT          60015             Industrials           107700.0   \n",
       "CSCO         95134              Technology            79500.0   \n",
       "CVX     94583-2324                  Energy            42595.0   \n",
       "GS           10282      Financial Services            47000.0   \n",
       "HD           30339       Consumer Cyclical           500000.0   \n",
       "HON          28202             Industrials            99000.0   \n",
       "IBM          10504              Technology           282100.0   \n",
       "INTC    95054-1549              Technology           121100.0   \n",
       "JNJ          08933              Healthcare           141700.0   \n",
       "KO           30313      Consumer Defensive            79000.0   \n",
       "JPM          10179      Financial Services           278494.0   \n",
       "MCD          60607       Consumer Cyclical           100000.0   \n",
       "MMM     55144-1000             Industrials            95000.0   \n",
       "MRK          07033              Healthcare            67000.0   \n",
       "MSFT    98052-6399              Technology           221000.0   \n",
       "NKE     97005-6453       Consumer Cyclical            79100.0   \n",
       "PG           45202      Consumer Defensive                NaN   \n",
       "TRV          10017      Financial Services            30184.0   \n",
       "UNH          55343              Healthcare           350000.0   \n",
       "CRM          94105              Technology            77810.0   \n",
       "VZ           10036  Communication Services           119400.0   \n",
       "V       94128-8999      Financial Services            21500.0   \n",
       "WBA          60015              Healthcare           315000.0   \n",
       "WMT          72716      Consumer Defensive          2300000.0   \n",
       "DIS          91521  Communication Services           152000.0   \n",
       "DOW          48674         Basic Materials            35700.0   \n",
       "\n",
       "                                      longBusinessSummary           city  \\\n",
       "symbol                                                                     \n",
       "AXP     American Express Company, together with its su...       New York   \n",
       "AMGN    Amgen Inc. discovers, develops, manufactures, ...  Thousand Oaks   \n",
       "AAPL    Apple Inc. designs, manufactures, and markets ...      Cupertino   \n",
       "BA      The Boeing Company, together with its subsidia...        Chicago   \n",
       "CAT     Caterpillar Inc. manufactures and sells constr...      Deerfield   \n",
       "CSCO    Cisco Systems, Inc. designs, manufactures, and...       San Jose   \n",
       "CVX     Chevron Corporation, through its subsidiaries,...      San Ramon   \n",
       "GS      The Goldman Sachs Group, Inc., a financial ins...       New York   \n",
       "HD      The Home Depot, Inc. operates as a home improv...        Atlanta   \n",
       "HON     Honeywell International Inc. operates as a div...      Charlotte   \n",
       "IBM     International Business Machines Corporation pr...         Armonk   \n",
       "INTC    Intel Corporation engages in the design, manuf...    Santa Clara   \n",
       "JNJ     Johnson & Johnson, together with its subsidiar...  New Brunswick   \n",
       "KO      The Coca-Cola Company, a beverage company, man...        Atlanta   \n",
       "JPM     JPMorgan Chase & Co. operates as a financial s...       New York   \n",
       "MCD     McDonald's Corporation operates and franchises...        Chicago   \n",
       "MMM     3M Company operates as a diversified technolog...     Saint Paul   \n",
       "MRK     Merck & Co., Inc. operates as a healthcare com...     Kenilworth   \n",
       "MSFT    Microsoft Corporation develops, licenses, and ...        Redmond   \n",
       "NKE     NIKE, Inc., together with its subsidiaries, de...      Beaverton   \n",
       "PG      The Procter & Gamble Company provides branded ...     Cincinnati   \n",
       "TRV     The Travelers Companies, Inc., through its sub...       New York   \n",
       "UNH     UnitedHealth Group Incorporated operates as a ...     Minnetonka   \n",
       "CRM     Salesforce, Inc. provides customer relationshi...  San Francisco   \n",
       "VZ      Verizon Communications Inc., through its subsi...       New York   \n",
       "V       Visa Inc. operates as a payments technology co...  San Francisco   \n",
       "WBA     Walgreens Boots Alliance, Inc. operates as a p...      Deerfield   \n",
       "WMT     Walmart Inc. engages in the operation of retai...    Bentonville   \n",
       "DIS     The Walt Disney Company, together with its sub...        Burbank   \n",
       "DOW     Dow Inc. provides various materials science so...        Midland   \n",
       "\n",
       "               phone state        country companyOfficers  \\\n",
       "symbol                                                      \n",
       "AXP     212 640 2000    NY  United States              []   \n",
       "AMGN    805 447 1000    CA  United States              []   \n",
       "AAPL    408 996 1010    CA  United States              []   \n",
       "BA      312 544 2000    IL  United States              []   \n",
       "CAT     224-551-4000    IL  United States              []   \n",
       "CSCO    408 526 4000    CA  United States              []   \n",
       "CVX     925 842 1000    CA  United States              []   \n",
       "GS      212-902-1000    NY  United States              []   \n",
       "HD      770 433 8211    GA  United States              []   \n",
       "HON     704 627 6200    NC  United States              []   \n",
       "IBM     914 499 1900    NY  United States              []   \n",
       "INTC    408 765 8080    CA  United States              []   \n",
       "JNJ     732 524 0400    NJ  United States              []   \n",
       "KO      404 676 2121    GA  United States              []   \n",
       "JPM     212 270 6000    NY  United States              []   \n",
       "MCD     630 623 3000    IL  United States              []   \n",
       "MMM     651 733 1110    MN  United States              []   \n",
       "MRK     908 740 4000    NJ  United States              []   \n",
       "MSFT    425 882 8080    WA  United States              []   \n",
       "NKE     503 671 6453    OR  United States              []   \n",
       "PG      513 983 1100    OH  United States              []   \n",
       "TRV     917 778 6000    NY  United States              []   \n",
       "UNH     952 936 1300    MN  United States              []   \n",
       "CRM     415 901 7000    CA  United States              []   \n",
       "VZ      212 395 1000    NY  United States              []   \n",
       "V       650 432 3200    CA  United States              []   \n",
       "WBA     847 315 3700    IL  United States              []   \n",
       "WMT     479 273 4000    AR  United States              []   \n",
       "DIS     818 560 1000    CA  United States              []   \n",
       "DOW     989 636 1000    MI  United States              []   \n",
       "\n",
       "                                       website  ...  regularMarketPrice  \\\n",
       "symbol                                          ...                       \n",
       "AXP            https://www.americanexpress.com  ...            157.3900   \n",
       "AMGN                     https://www.amgen.com  ...            246.1300   \n",
       "AAPL                     https://www.apple.com  ...            164.9400   \n",
       "BA                      https://www.boeing.com  ...            164.7813   \n",
       "CAT                https://www.caterpillar.com  ...            185.5400   \n",
       "CSCO                     https://www.cisco.com  ...             44.8888   \n",
       "CVX                    https://www.chevron.com  ...            154.3800   \n",
       "GS                https://www.goldmansachs.com  ...            334.9500   \n",
       "HD                   https://www.homedepot.com  ...            308.4850   \n",
       "HON                  https://www.honeywell.com  ...            192.1019   \n",
       "IBM                        https://www.ibm.com  ...            132.1700   \n",
       "INTC                     https://www.intel.com  ...             35.2850   \n",
       "JNJ                        https://www.jnj.com  ...            171.1600   \n",
       "KO            https://www.coca-colacompany.com  ...             63.0700   \n",
       "JPM              https://www.jpmorganchase.com  ...            116.0000   \n",
       "MCD            https://corporate.mcdonalds.com  ...            258.5300   \n",
       "MMM                         https://www.3m.com  ...            147.4350   \n",
       "MRK                      https://www.merck.com  ...             87.1900   \n",
       "MSFT                 https://www.microsoft.com  ...            282.3700   \n",
       "NKE                 https://investors.nike.com  ...            113.6256   \n",
       "PG                  https://www.pginvestor.com  ...            143.9700   \n",
       "TRV                  https://www.travelers.com  ...            159.0500   \n",
       "UNH          https://www.unitedhealthgroup.com  ...            531.3475   \n",
       "CRM                 https://www.salesforce.com  ...            189.9650   \n",
       "VZ                     https://www.verizon.com  ...             44.8200   \n",
       "V                         https://usa.visa.com  ...            214.4700   \n",
       "WBA     https://www.walgreensbootsalliance.com  ...             38.8350   \n",
       "WMT              https://www.stock.walmart.com  ...            125.4900   \n",
       "DIS       https://www.thewaltdisneycompany.com  ...            106.6907   \n",
       "DOW                        https://www.dow.com  ...             51.3750   \n",
       "\n",
       "       preMarketPrice                                           logo_url  \\\n",
       "symbol                                                                     \n",
       "AXP           156.730      https://logo.clearbit.com/americanexpress.com   \n",
       "AMGN          246.000                https://logo.clearbit.com/amgen.com   \n",
       "AAPL          163.000                https://logo.clearbit.com/apple.com   \n",
       "BA            164.240               https://logo.clearbit.com/boeing.com   \n",
       "CAT           183.640          https://logo.clearbit.com/caterpillar.com   \n",
       "CSCO           44.800                https://logo.clearbit.com/cisco.com   \n",
       "CVX           149.080              https://logo.clearbit.com/chevron.com   \n",
       "GS            331.560         https://logo.clearbit.com/goldmansachs.com   \n",
       "HD            305.000            https://logo.clearbit.com/homedepot.com   \n",
       "HON           190.250            https://logo.clearbit.com/honeywell.com   \n",
       "IBM           131.210                  https://logo.clearbit.com/ibm.com   \n",
       "INTC           35.360                https://logo.clearbit.com/intel.com   \n",
       "JNJ           171.400                  https://logo.clearbit.com/jnj.com   \n",
       "KO             63.810     https://logo.clearbit.com/coca-colacompany.com   \n",
       "JPM           112.600        https://logo.clearbit.com/jpmorganchase.com   \n",
       "MCD           258.849  https://logo.clearbit.com/corporate.mcdonalds.com   \n",
       "MMM           147.300                   https://logo.clearbit.com/3m.com   \n",
       "MRK            86.230                https://logo.clearbit.com/merck.com   \n",
       "MSFT          279.130            https://logo.clearbit.com/microsoft.com   \n",
       "NKE           112.970       https://logo.clearbit.com/investors.nike.com   \n",
       "PG            144.050           https://logo.clearbit.com/pginvestor.com   \n",
       "TRV           157.700            https://logo.clearbit.com/travelers.com   \n",
       "UNH           533.750    https://logo.clearbit.com/unitedhealthgroup.com   \n",
       "CRM           187.360           https://logo.clearbit.com/salesforce.com   \n",
       "VZ             44.430              https://logo.clearbit.com/verizon.com   \n",
       "V             210.280             https://logo.clearbit.com/usa.visa.com   \n",
       "WBA            38.980  https://logo.clearbit.com/walgreensbootsallian...   \n",
       "WMT           125.500        https://logo.clearbit.com/stock.walmart.com   \n",
       "DIS           106.870  https://logo.clearbit.com/thewaltdisneycompany...   \n",
       "DOW            50.580                  https://logo.clearbit.com/dow.com   \n",
       "\n",
       "        trailingPegRatio           fax                      address2  \\\n",
       "symbol                                                                 \n",
       "AXP               1.3560           NaN                           NaN   \n",
       "AMGN              1.4832  805 447 1010                           NaN   \n",
       "AAPL              2.9709           NaN                           NaN   \n",
       "BA                6.5305           NaN                           NaN   \n",
       "CAT               1.4547           NaN                     Suite 100   \n",
       "CSCO              2.2976           NaN                           NaN   \n",
       "CVX               2.2028           NaN                           NaN   \n",
       "GS                   NaN           NaN                           NaN   \n",
       "HD                2.6173           NaN                           NaN   \n",
       "HON               1.9560           NaN                           NaN   \n",
       "IBM               1.7929           NaN                           NaN   \n",
       "INTC              4.8047           NaN                           NaN   \n",
       "JNJ               4.0508           NaN                           NaN   \n",
       "KO                3.5643           NaN                           NaN   \n",
       "JPM                  NaN           NaN                           NaN   \n",
       "MCD               3.7428           NaN                           NaN   \n",
       "MMM               2.4144           NaN                           NaN   \n",
       "MRK               1.1323           NaN                           NaN   \n",
       "MSFT              2.1040  425 706 7329                           NaN   \n",
       "NKE               2.4180           NaN                           NaN   \n",
       "PG                4.4144           NaN                           NaN   \n",
       "TRV                  NaN           NaN                           NaN   \n",
       "UNH                  NaN           NaN           9900 Bren Road East   \n",
       "CRM                  NaN  415 901 7040  3rd Floor 415 Mission Street   \n",
       "VZ                   NaN           NaN                           NaN   \n",
       "V                    NaN           NaN                           NaN   \n",
       "WBA                  NaN           NaN                           NaN   \n",
       "WMT                  NaN           NaN                           NaN   \n",
       "DIS                  NaN           NaN                           NaN   \n",
       "DOW                  NaN  989 832 1456                           NaN   \n",
       "\n",
       "        underlyingSymbol  underlyingExchangeSymbol  headSymbol  \\\n",
       "symbol                                                           \n",
       "AXP                  NaN                       NaN         NaN   \n",
       "AMGN                 NaN                       NaN         NaN   \n",
       "AAPL                 NaN                       NaN         NaN   \n",
       "BA                   NaN                       NaN         NaN   \n",
       "CAT                  NaN                       NaN         NaN   \n",
       "CSCO                 NaN                       NaN         NaN   \n",
       "CVX                  NaN                       NaN         NaN   \n",
       "GS                   NaN                       NaN         NaN   \n",
       "HD                   NaN                       NaN         NaN   \n",
       "HON                  NaN                       NaN         NaN   \n",
       "IBM                  NaN                       NaN         NaN   \n",
       "INTC                 NaN                       NaN         NaN   \n",
       "JNJ                  NaN                       NaN         NaN   \n",
       "KO                   NaN                       NaN         NaN   \n",
       "JPM                  NaN                       NaN         NaN   \n",
       "MCD                  NaN                       NaN         NaN   \n",
       "MMM                  NaN                       NaN         NaN   \n",
       "MRK                  NaN                       NaN         NaN   \n",
       "MSFT                 NaN                       NaN         NaN   \n",
       "NKE                  NaN                       NaN         NaN   \n",
       "PG                   NaN                       NaN         NaN   \n",
       "TRV                  NaN                       NaN         NaN   \n",
       "UNH                  NaN                       NaN         NaN   \n",
       "CRM                  NaN                       NaN         NaN   \n",
       "VZ                   NaN                       NaN         NaN   \n",
       "V                    NaN                       NaN         NaN   \n",
       "WBA                  NaN                       NaN         NaN   \n",
       "WMT                  NaN                       NaN         NaN   \n",
       "DIS                  NaN                       NaN         NaN   \n",
       "DOW                  NaN                       NaN         NaN   \n",
       "\n",
       "                                        uuid  \n",
       "symbol                                        \n",
       "AXP                                      NaN  \n",
       "AMGN                                     NaN  \n",
       "AAPL                                     NaN  \n",
       "BA                                       NaN  \n",
       "CAT                                      NaN  \n",
       "CSCO                                     NaN  \n",
       "CVX                                      NaN  \n",
       "GS                                       NaN  \n",
       "HD                                       NaN  \n",
       "HON                                      NaN  \n",
       "IBM                                      NaN  \n",
       "INTC                                     NaN  \n",
       "JNJ                                      NaN  \n",
       "KO                                       NaN  \n",
       "JPM                                      NaN  \n",
       "MCD                                      NaN  \n",
       "MMM                                      NaN  \n",
       "MRK                                      NaN  \n",
       "MSFT                                     NaN  \n",
       "NKE                                      NaN  \n",
       "PG                                       NaN  \n",
       "TRV                                      NaN  \n",
       "UNH     33ae4437-560d-3a42-9aa4-234d48c993c5  \n",
       "CRM     01d3fcca-fdd3-37b7-b601-1bfd3a695ce7  \n",
       "VZ      a708480c-0400-3ea0-b2d3-ca752db5c3b1  \n",
       "V       5206560a-306a-3e08-9a43-7fd258eb57ce  \n",
       "WBA                                      NaN  \n",
       "WMT     902d429a-38af-3903-a1d7-3374c3560928  \n",
       "DIS     aef70f8f-79be-3478-9d04-39acf5bad0ef  \n",
       "DOW     9510e206-86db-3ea5-bd8f-fbd901232728  \n",
       "\n",
       "[30 rows x 159 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use the Pathlib libary to set the path to the CSV\n",
    "csv_path = Path(\"./Resources/fundamental_info_df.csv\")\n",
    "\n",
    "# Use the file path to read the CSV into a DataFrame and display a few rows\n",
    "fundamental_info_df = pd.read_csv(csv_path, index_col = 'symbol')\n",
    "fundamental_info_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "979d2fb4-3009-4cb0-8ba7-fe1ba36722dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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>beta</th>\n",
       "      <th>marketCap</th>\n",
       "      <th>forwardPE</th>\n",
       "      <th>dividendYield</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AXP</th>\n",
       "      <td>1.146400</td>\n",
       "      <td>1.180028e+11</td>\n",
       "      <td>13.940656</td>\n",
       "      <td>0.0134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMGN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.315678e+11</td>\n",
       "      <td>13.022752</td>\n",
       "      <td>0.0314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>1.230174</td>\n",
       "      <td>2.650718e+12</td>\n",
       "      <td>25.651634</td>\n",
       "      <td>0.0055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>1.367816</td>\n",
       "      <td>9.784895e+10</td>\n",
       "      <td>39.515896</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAT</th>\n",
       "      <td>0.993188</td>\n",
       "      <td>9.896221e+10</td>\n",
       "      <td>13.474218</td>\n",
       "      <td>0.0242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CSCO</th>\n",
       "      <td>0.950386</td>\n",
       "      <td>1.872348e+11</td>\n",
       "      <td>12.716374</td>\n",
       "      <td>0.0333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CVX</th>\n",
       "      <td>1.146807</td>\n",
       "      <td>3.117967e+11</td>\n",
       "      <td>9.512015</td>\n",
       "      <td>0.0366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GS</th>\n",
       "      <td>1.385929</td>\n",
       "      <td>1.154881e+11</td>\n",
       "      <td>8.679710</td>\n",
       "      <td>0.0240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HD</th>\n",
       "      <td>0.991459</td>\n",
       "      <td>3.170454e+11</td>\n",
       "      <td>17.800634</td>\n",
       "      <td>0.0248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HON</th>\n",
       "      <td>1.082588</td>\n",
       "      <td>1.307701e+11</td>\n",
       "      <td>19.948277</td>\n",
       "      <td>0.0204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IBM</th>\n",
       "      <td>0.852785</td>\n",
       "      <td>1.184666e+11</td>\n",
       "      <td>13.060277</td>\n",
       "      <td>0.0499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INTC</th>\n",
       "      <td>0.619357</td>\n",
       "      <td>1.483741e+11</td>\n",
       "      <td>10.197977</td>\n",
       "      <td>0.0400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JNJ</th>\n",
       "      <td>0.589263</td>\n",
       "      <td>4.500104e+11</td>\n",
       "      <td>16.177694</td>\n",
       "      <td>0.0259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KO</th>\n",
       "      <td>0.557684</td>\n",
       "      <td>2.727544e+11</td>\n",
       "      <td>24.164751</td>\n",
       "      <td>0.0274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JPM</th>\n",
       "      <td>1.103294</td>\n",
       "      <td>3.444875e+11</td>\n",
       "      <td>9.228322</td>\n",
       "      <td>0.0352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MCD</th>\n",
       "      <td>0.561203</td>\n",
       "      <td>1.911951e+11</td>\n",
       "      <td>24.366636</td>\n",
       "      <td>0.0211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MMM</th>\n",
       "      <td>0.966653</td>\n",
       "      <td>8.397956e+10</td>\n",
       "      <td>13.501373</td>\n",
       "      <td>0.0415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MRK</th>\n",
       "      <td>0.324928</td>\n",
       "      <td>2.225185e+11</td>\n",
       "      <td>11.782433</td>\n",
       "      <td>0.0315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSFT</th>\n",
       "      <td>0.927206</td>\n",
       "      <td>2.105884e+12</td>\n",
       "      <td>23.317093</td>\n",
       "      <td>0.0088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NKE</th>\n",
       "      <td>1.023586</td>\n",
       "      <td>1.779172e+11</td>\n",
       "      <td>24.755032</td>\n",
       "      <td>0.0107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PG</th>\n",
       "      <td>0.342822</td>\n",
       "      <td>3.459757e+11</td>\n",
       "      <td>21.649624</td>\n",
       "      <td>0.0252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TRV</th>\n",
       "      <td>0.635217</td>\n",
       "      <td>3.784515e+10</td>\n",
       "      <td>10.753888</td>\n",
       "      <td>0.0235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UNH</th>\n",
       "      <td>0.774372</td>\n",
       "      <td>5.004502e+11</td>\n",
       "      <td>24.542608</td>\n",
       "      <td>0.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRM</th>\n",
       "      <td>1.075776</td>\n",
       "      <td>1.871155e+11</td>\n",
       "      <td>40.332270</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VZ</th>\n",
       "      <td>0.383567</td>\n",
       "      <td>1.881436e+11</td>\n",
       "      <td>8.300000</td>\n",
       "      <td>0.0554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>0.896977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WBA</th>\n",
       "      <td>0.590890</td>\n",
       "      <td>3.356342e+10</td>\n",
       "      <td>8.315846</td>\n",
       "      <td>0.0490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WMT</th>\n",
       "      <td>0.522349</td>\n",
       "      <td>3.480942e+11</td>\n",
       "      <td>18.674107</td>\n",
       "      <td>0.0170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIS</th>\n",
       "      <td>1.237122</td>\n",
       "      <td>1.939274e+11</td>\n",
       "      <td>21.085117</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOW</th>\n",
       "      <td>1.406411</td>\n",
       "      <td>3.799767e+10</td>\n",
       "      <td>8.052507</td>\n",
       "      <td>0.0526</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            beta     marketCap  forwardPE  dividendYield\n",
       "symbol                                                  \n",
       "AXP     1.146400  1.180028e+11  13.940656         0.0134\n",
       "AMGN         NaN  1.315678e+11  13.022752         0.0314\n",
       "AAPL    1.230174  2.650718e+12  25.651634         0.0055\n",
       "BA      1.367816  9.784895e+10  39.515896            NaN\n",
       "CAT     0.993188  9.896221e+10  13.474218         0.0242\n",
       "CSCO    0.950386  1.872348e+11  12.716374         0.0333\n",
       "CVX     1.146807  3.117967e+11   9.512015         0.0366\n",
       "GS      1.385929  1.154881e+11   8.679710         0.0240\n",
       "HD      0.991459  3.170454e+11  17.800634         0.0248\n",
       "HON     1.082588  1.307701e+11  19.948277         0.0204\n",
       "IBM     0.852785  1.184666e+11  13.060277         0.0499\n",
       "INTC    0.619357  1.483741e+11  10.197977         0.0400\n",
       "JNJ     0.589263  4.500104e+11  16.177694         0.0259\n",
       "KO      0.557684  2.727544e+11  24.164751         0.0274\n",
       "JPM     1.103294  3.444875e+11   9.228322         0.0352\n",
       "MCD     0.561203  1.911951e+11  24.366636         0.0211\n",
       "MMM     0.966653  8.397956e+10  13.501373         0.0415\n",
       "MRK     0.324928  2.225185e+11  11.782433         0.0315\n",
       "MSFT    0.927206  2.105884e+12  23.317093         0.0088\n",
       "NKE     1.023586  1.779172e+11  24.755032         0.0107\n",
       "PG      0.342822  3.459757e+11  21.649624         0.0252\n",
       "TRV     0.635217  3.784515e+10  10.753888         0.0235\n",
       "UNH     0.774372  5.004502e+11  24.542608         0.0122\n",
       "CRM     1.075776  1.871155e+11  40.332270            NaN\n",
       "VZ      0.383567  1.881436e+11   8.300000         0.0554\n",
       "V       0.896977           NaN        NaN         0.0071\n",
       "WBA     0.590890  3.356342e+10   8.315846         0.0490\n",
       "WMT     0.522349  3.480942e+11  18.674107         0.0170\n",
       "DIS     1.237122  1.939274e+11  21.085117            NaN\n",
       "DOW     1.406411  3.799767e+10   8.052507         0.0526"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Example\n",
    "test = fundamental_info_df[['beta', 'marketCap', 'forwardPE', 'dividendYield']]\n",
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "9c53f1e8-3c52-4513-9bd6-a7883da829c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>symbol</th>\n",
       "      <th>AAPL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>longBusinessSummary</th>\n",
       "      <td>Apple Inc. designs, manufactures, and markets ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>previousClose</th>\n",
       "      <td>165.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>open</th>\n",
       "      <td>163.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bid</th>\n",
       "      <td>164.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ask</th>\n",
       "      <td>164.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dayHigh</th>\n",
       "      <td>165.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dayLow</th>\n",
       "      <td>163.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiftyTwoWeekHigh</th>\n",
       "      <td>182.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiftyTwoWeekLow</th>\n",
       "      <td>129.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52WeekChange</th>\n",
       "      <td>0.134597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>volume</th>\n",
       "      <td>38955349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>averageVolume</th>\n",
       "      <td>87290604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketCap</th>\n",
       "      <td>2650717814784.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta</th>\n",
       "      <td>1.230174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>earningsGrowth</th>\n",
       "      <td>-0.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dividendYield</th>\n",
       "      <td>0.0055</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "symbol                                                            AAPL\n",
       "longBusinessSummary  Apple Inc. designs, manufactures, and markets ...\n",
       "previousClose                                                   165.58\n",
       "open                                                            163.21\n",
       "bid                                                             164.79\n",
       "ask                                                              164.8\n",
       "dayHigh                                                         165.85\n",
       "dayLow                                                           163.0\n",
       "fiftyTwoWeekHigh                                                182.94\n",
       "fiftyTwoWeekLow                                                 129.04\n",
       "52WeekChange                                                  0.134597\n",
       "volume                                                        38955349\n",
       "averageVolume                                                 87290604\n",
       "marketCap                                              2650717814784.0\n",
       "beta                                                          1.230174\n",
       "earningsGrowth                                                  -0.077\n",
       "dividendYield                                                   0.0055"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list of all available information for the yfinance dictionary\n",
    "list = fundamental_info_df[['longBusinessSummary', 'previousClose', 'open', 'bid', 'ask', 'dayHigh', 'dayLow', 'fiftyTwoWeekHigh', 'fiftyTwoWeekLow', '52WeekChange', 'volume', 'averageVolume', 'marketCap', 'beta', 'earningsGrowth', 'dividendYield']]\n",
    "\n",
    "# set tickers as columns\n",
    "info_list = list.transpose()\n",
    "info_list[['AAPL']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "449b14d3-0175-484e-89a1-4bad9e4ac5e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longBusinessSummary</th>\n",
       "      <th>previousClose</th>\n",
       "      <th>open</th>\n",
       "      <th>bid</th>\n",
       "      <th>ask</th>\n",
       "      <th>52WeekChange</th>\n",
       "      <th>volume</th>\n",
       "      <th>averageVolume</th>\n",
       "      <th>marketCap</th>\n",
       "      <th>beta</th>\n",
       "      <th>earningsGrowth</th>\n",
       "      <th>dividendYield</th>\n",
       "      <th>dayHigh</th>\n",
       "      <th>dayLow</th>\n",
       "      <th>fiftyTwoWeekHigh</th>\n",
       "      <th>fiftyTwoWeekLow</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>symbol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AXP</th>\n",
       "      <td>American Express Company, together with its su...</td>\n",
       "      <td>156.87</td>\n",
       "      <td>156.480</td>\n",
       "      <td>157.31</td>\n",
       "      <td>157.36</td>\n",
       "      <td>-0.084559</td>\n",
       "      <td>1451049</td>\n",
       "      <td>3559309</td>\n",
       "      <td>1.180028e+11</td>\n",
       "      <td>1.146400</td>\n",
       "      <td>-0.082</td>\n",
       "      <td>0.0134</td>\n",
       "      <td>158.0390</td>\n",
       "      <td>156.0000</td>\n",
       "      <td>199.55</td>\n",
       "      <td>134.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMGN</th>\n",
       "      <td>Amgen Inc. discovers, develops, manufactures, ...</td>\n",
       "      <td>246.98</td>\n",
       "      <td>246.460</td>\n",
       "      <td>246.06</td>\n",
       "      <td>246.10</td>\n",
       "      <td>0.073126</td>\n",
       "      <td>1456077</td>\n",
       "      <td>3134937</td>\n",
       "      <td>1.315678e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.026</td>\n",
       "      <td>0.0314</td>\n",
       "      <td>247.0800</td>\n",
       "      <td>241.7900</td>\n",
       "      <td>258.45</td>\n",
       "      <td>198.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>Apple Inc. designs, manufactures, and markets ...</td>\n",
       "      <td>165.58</td>\n",
       "      <td>163.210</td>\n",
       "      <td>164.79</td>\n",
       "      <td>164.80</td>\n",
       "      <td>0.134597</td>\n",
       "      <td>38955349</td>\n",
       "      <td>87290604</td>\n",
       "      <td>2.650718e+12</td>\n",
       "      <td>1.230174</td>\n",
       "      <td>-0.077</td>\n",
       "      <td>0.0055</td>\n",
       "      <td>165.8500</td>\n",
       "      <td>163.0000</td>\n",
       "      <td>182.94</td>\n",
       "      <td>129.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>The Boeing Company, together with its subsidia...</td>\n",
       "      <td>166.50</td>\n",
       "      <td>164.400</td>\n",
       "      <td>164.79</td>\n",
       "      <td>164.79</td>\n",
       "      <td>-0.280249</td>\n",
       "      <td>2894596</td>\n",
       "      <td>10537591</td>\n",
       "      <td>9.784895e+10</td>\n",
       "      <td>1.367816</td>\n",
       "      <td>-0.680</td>\n",
       "      <td>NaN</td>\n",
       "      <td>167.0700</td>\n",
       "      <td>164.0000</td>\n",
       "      <td>241.15</td>\n",
       "      <td>113.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAT</th>\n",
       "      <td>Caterpillar Inc. manufactures and sells constr...</td>\n",
       "      <td>183.64</td>\n",
       "      <td>183.580</td>\n",
       "      <td>185.54</td>\n",
       "      <td>185.62</td>\n",
       "      <td>-0.118599</td>\n",
       "      <td>1221492</td>\n",
       "      <td>3137691</td>\n",
       "      <td>9.896221e+10</td>\n",
       "      <td>0.993188</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.0242</td>\n",
       "      <td>186.0900</td>\n",
       "      <td>183.2300</td>\n",
       "      <td>237.90</td>\n",
       "      <td>167.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CSCO</th>\n",
       "      <td>Cisco Systems, Inc. designs, manufactures, and...</td>\n",
       "      <td>45.38</td>\n",
       "      <td>44.910</td>\n",
       "      <td>44.86</td>\n",
       "      <td>44.87</td>\n",
       "      <td>-0.183666</td>\n",
       "      <td>9883664</td>\n",
       "      <td>23821166</td>\n",
       "      <td>1.872348e+11</td>\n",
       "      <td>0.950386</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.0333</td>\n",
       "      <td>45.0700</td>\n",
       "      <td>44.5450</td>\n",
       "      <td>64.29</td>\n",
       "      <td>40.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CVX</th>\n",
       "      <td>Chevron Corporation, through its subsidiaries,...</td>\n",
       "      <td>151.14</td>\n",
       "      <td>149.640</td>\n",
       "      <td>154.41</td>\n",
       "      <td>154.43</td>\n",
       "      <td>0.482491</td>\n",
       "      <td>4771723</td>\n",
       "      <td>10568296</td>\n",
       "      <td>3.117967e+11</td>\n",
       "      <td>1.146807</td>\n",
       "      <td>2.719</td>\n",
       "      <td>0.0366</td>\n",
       "      <td>155.0100</td>\n",
       "      <td>149.0400</td>\n",
       "      <td>182.40</td>\n",
       "      <td>92.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GS</th>\n",
       "      <td>The Goldman Sachs Group, Inc., a financial ins...</td>\n",
       "      <td>331.87</td>\n",
       "      <td>330.900</td>\n",
       "      <td>334.53</td>\n",
       "      <td>334.77</td>\n",
       "      <td>-0.165925</td>\n",
       "      <td>1054771</td>\n",
       "      <td>2517750</td>\n",
       "      <td>1.154881e+11</td>\n",
       "      <td>1.385929</td>\n",
       "      <td>-0.485</td>\n",
       "      <td>0.0240</td>\n",
       "      <td>336.9100</td>\n",
       "      <td>329.6700</td>\n",
       "      <td>426.16</td>\n",
       "      <td>277.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HD</th>\n",
       "      <td>The Home Depot, Inc. operates as a home improv...</td>\n",
       "      <td>307.17</td>\n",
       "      <td>305.380</td>\n",
       "      <td>308.05</td>\n",
       "      <td>308.06</td>\n",
       "      <td>-0.068730</td>\n",
       "      <td>1145639</td>\n",
       "      <td>4038029</td>\n",
       "      <td>3.170454e+11</td>\n",
       "      <td>0.991459</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.0248</td>\n",
       "      <td>308.8100</td>\n",
       "      <td>304.4950</td>\n",
       "      <td>420.61</td>\n",
       "      <td>264.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HON</th>\n",
       "      <td>Honeywell International Inc. operates as a div...</td>\n",
       "      <td>192.44</td>\n",
       "      <td>191.570</td>\n",
       "      <td>192.27</td>\n",
       "      <td>192.32</td>\n",
       "      <td>-0.162139</td>\n",
       "      <td>913704</td>\n",
       "      <td>2840575</td>\n",
       "      <td>1.307701e+11</td>\n",
       "      <td>1.082588</td>\n",
       "      <td>-0.098</td>\n",
       "      <td>0.0204</td>\n",
       "      <td>192.4000</td>\n",
       "      <td>190.3400</td>\n",
       "      <td>234.68</td>\n",
       "      <td>167.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IBM</th>\n",
       "      <td>International Business Machines Corporation pr...</td>\n",
       "      <td>131.64</td>\n",
       "      <td>131.250</td>\n",
       "      <td>132.14</td>\n",
       "      <td>132.16</td>\n",
       "      <td>-0.044379</td>\n",
       "      <td>1410444</td>\n",
       "      <td>5545901</td>\n",
       "      <td>1.184666e+11</td>\n",
       "      <td>0.852785</td>\n",
       "      <td>0.041</td>\n",
       "      <td>0.0499</td>\n",
       "      <td>132.4000</td>\n",
       "      <td>131.0800</td>\n",
       "      <td>144.73</td>\n",
       "      <td>114.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INTC</th>\n",
       "      <td>Intel Corporation engages in the design, manuf...</td>\n",
       "      <td>35.66</td>\n",
       "      <td>35.345</td>\n",
       "      <td>35.26</td>\n",
       "      <td>35.27</td>\n",
       "      <td>-0.338650</td>\n",
       "      <td>25666702</td>\n",
       "      <td>38486506</td>\n",
       "      <td>1.483741e+11</td>\n",
       "      <td>0.619357</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0400</td>\n",
       "      <td>35.6900</td>\n",
       "      <td>35.1800</td>\n",
       "      <td>56.28</td>\n",
       "      <td>35.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JNJ</th>\n",
       "      <td>Johnson &amp; Johnson, together with its subsidiar...</td>\n",
       "      <td>171.79</td>\n",
       "      <td>171.300</td>\n",
       "      <td>171.07</td>\n",
       "      <td>171.08</td>\n",
       "      <td>-0.007625</td>\n",
       "      <td>2997064</td>\n",
       "      <td>6815009</td>\n",
       "      <td>4.500104e+11</td>\n",
       "      <td>0.589263</td>\n",
       "      <td>-0.234</td>\n",
       "      <td>0.0259</td>\n",
       "      <td>171.4900</td>\n",
       "      <td>169.8000</td>\n",
       "      <td>186.69</td>\n",
       "      <td>155.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KO</th>\n",
       "      <td>The Coca-Cola Company, a beverage company, man...</td>\n",
       "      <td>63.67</td>\n",
       "      <td>63.630</td>\n",
       "      <td>63.02</td>\n",
       "      <td>63.03</td>\n",
       "      <td>0.124117</td>\n",
       "      <td>6269856</td>\n",
       "      <td>16990719</td>\n",
       "      <td>2.727544e+11</td>\n",
       "      <td>0.557684</td>\n",
       "      <td>-0.279</td>\n",
       "      <td>0.0274</td>\n",
       "      <td>63.6400</td>\n",
       "      <td>62.6700</td>\n",
       "      <td>67.20</td>\n",
       "      <td>52.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JPM</th>\n",
       "      <td>JPMorgan Chase &amp; Co. operates as a financial s...</td>\n",
       "      <td>112.36</td>\n",
       "      <td>112.530</td>\n",
       "      <td>115.85</td>\n",
       "      <td>115.86</td>\n",
       "      <td>-0.286603</td>\n",
       "      <td>9817044</td>\n",
       "      <td>13179170</td>\n",
       "      <td>3.444875e+11</td>\n",
       "      <td>1.103294</td>\n",
       "      <td>-0.270</td>\n",
       "      <td>0.0352</td>\n",
       "      <td>116.1899</td>\n",
       "      <td>112.0500</td>\n",
       "      <td>172.96</td>\n",
       "      <td>106.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MCD</th>\n",
       "      <td>McDonald's Corporation operates and franchises...</td>\n",
       "      <td>260.64</td>\n",
       "      <td>259.640</td>\n",
       "      <td>258.54</td>\n",
       "      <td>258.59</td>\n",
       "      <td>0.103191</td>\n",
       "      <td>960726</td>\n",
       "      <td>2766145</td>\n",
       "      <td>1.911951e+11</td>\n",
       "      <td>0.561203</td>\n",
       "      <td>-0.458</td>\n",
       "      <td>0.0211</td>\n",
       "      <td>260.0299</td>\n",
       "      <td>257.0700</td>\n",
       "      <td>271.15</td>\n",
       "      <td>217.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MMM</th>\n",
       "      <td>3M Company operates as a diversified technolog...</td>\n",
       "      <td>148.12</td>\n",
       "      <td>147.010</td>\n",
       "      <td>147.80</td>\n",
       "      <td>147.83</td>\n",
       "      <td>-0.252410</td>\n",
       "      <td>2679588</td>\n",
       "      <td>3123577</td>\n",
       "      <td>8.397956e+10</td>\n",
       "      <td>0.966653</td>\n",
       "      <td>-0.947</td>\n",
       "      <td>0.0415</td>\n",
       "      <td>148.4900</td>\n",
       "      <td>146.4300</td>\n",
       "      <td>202.77</td>\n",
       "      <td>125.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MRK</th>\n",
       "      <td>Merck &amp; Co., Inc. operates as a healthcare com...</td>\n",
       "      <td>86.82</td>\n",
       "      <td>86.530</td>\n",
       "      <td>87.22</td>\n",
       "      <td>87.23</td>\n",
       "      <td>0.150848</td>\n",
       "      <td>4860070</td>\n",
       "      <td>11348829</td>\n",
       "      <td>2.225185e+11</td>\n",
       "      <td>0.324928</td>\n",
       "      <td>1.541</td>\n",
       "      <td>0.0315</td>\n",
       "      <td>87.5000</td>\n",
       "      <td>86.0200</td>\n",
       "      <td>95.72</td>\n",
       "      <td>70.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSFT</th>\n",
       "      <td>Microsoft Corporation develops, licenses, and ...</td>\n",
       "      <td>283.65</td>\n",
       "      <td>279.150</td>\n",
       "      <td>282.22</td>\n",
       "      <td>282.26</td>\n",
       "      <td>-0.020072</td>\n",
       "      <td>10450026</td>\n",
       "      <td>29791038</td>\n",
       "      <td>2.105884e+12</td>\n",
       "      <td>0.927206</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.0088</td>\n",
       "      <td>283.6500</td>\n",
       "      <td>278.6800</td>\n",
       "      <td>349.67</td>\n",
       "      <td>241.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NKE</th>\n",
       "      <td>NIKE, Inc., together with its subsidiaries, de...</td>\n",
       "      <td>114.48</td>\n",
       "      <td>112.790</td>\n",
       "      <td>113.50</td>\n",
       "      <td>113.53</td>\n",
       "      <td>-0.337500</td>\n",
       "      <td>2551638</td>\n",
       "      <td>7484835</td>\n",
       "      <td>1.779172e+11</td>\n",
       "      <td>1.023586</td>\n",
       "      <td>-0.043</td>\n",
       "      <td>0.0107</td>\n",
       "      <td>114.2750</td>\n",
       "      <td>112.5725</td>\n",
       "      <td>179.10</td>\n",
       "      <td>99.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PG</th>\n",
       "      <td>The Procter &amp; Gamble Company provides branded ...</td>\n",
       "      <td>144.65</td>\n",
       "      <td>143.750</td>\n",
       "      <td>143.92</td>\n",
       "      <td>143.95</td>\n",
       "      <td>0.022912</td>\n",
       "      <td>2803762</td>\n",
       "      <td>7505674</td>\n",
       "      <td>3.459757e+11</td>\n",
       "      <td>0.342822</td>\n",
       "      <td>0.071</td>\n",
       "      <td>0.0252</td>\n",
       "      <td>144.4050</td>\n",
       "      <td>142.7700</td>\n",
       "      <td>165.35</td>\n",
       "      <td>129.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TRV</th>\n",
       "      <td>The Travelers Companies, Inc., through its sub...</td>\n",
       "      <td>157.70</td>\n",
       "      <td>158.270</td>\n",
       "      <td>158.91</td>\n",
       "      <td>158.99</td>\n",
       "      <td>0.031933</td>\n",
       "      <td>447141</td>\n",
       "      <td>1235390</td>\n",
       "      <td>3.784515e+10</td>\n",
       "      <td>0.635217</td>\n",
       "      <td>-0.380</td>\n",
       "      <td>0.0235</td>\n",
       "      <td>159.5450</td>\n",
       "      <td>157.9700</td>\n",
       "      <td>187.98</td>\n",
       "      <td>145.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UNH</th>\n",
       "      <td>UnitedHealth Group Incorporated operates as a ...</td>\n",
       "      <td>533.75</td>\n",
       "      <td>530.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1377469</td>\n",
       "      <td>3332833</td>\n",
       "      <td>5.004502e+11</td>\n",
       "      <td>0.774372</td>\n",
       "      <td>0.197</td>\n",
       "      <td>0.0122</td>\n",
       "      <td>533.1600</td>\n",
       "      <td>527.5600</td>\n",
       "      <td>553.29</td>\n",
       "      <td>383.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRM</th>\n",
       "      <td>Salesforce, Inc. provides customer relationshi...</td>\n",
       "      <td>191.27</td>\n",
       "      <td>187.000</td>\n",
       "      <td>189.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2610629</td>\n",
       "      <td>7413259</td>\n",
       "      <td>1.871155e+11</td>\n",
       "      <td>1.075776</td>\n",
       "      <td>-0.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>191.7300</td>\n",
       "      <td>186.2800</td>\n",
       "      <td>311.75</td>\n",
       "      <td>154.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VZ</th>\n",
       "      <td>Verizon Communications Inc., through its subsi...</td>\n",
       "      <td>44.43</td>\n",
       "      <td>44.480</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10147980</td>\n",
       "      <td>20449301</td>\n",
       "      <td>1.881436e+11</td>\n",
       "      <td>0.383567</td>\n",
       "      <td>-0.116</td>\n",
       "      <td>0.0554</td>\n",
       "      <td>44.9150</td>\n",
       "      <td>44.3601</td>\n",
       "      <td>56.20</td>\n",
       "      <td>43.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V</th>\n",
       "      <td>Visa Inc. operates as a payments technology co...</td>\n",
       "      <td>213.47</td>\n",
       "      <td>210.710</td>\n",
       "      <td>208.51</td>\n",
       "      <td>215.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2997924</td>\n",
       "      <td>6814374</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.896977</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.0071</td>\n",
       "      <td>214.7600</td>\n",
       "      <td>210.5000</td>\n",
       "      <td>242.60</td>\n",
       "      <td>185.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WBA</th>\n",
       "      <td>Walgreens Boots Alliance, Inc. operates as a p...</td>\n",
       "      <td>38.98</td>\n",
       "      <td>38.920</td>\n",
       "      <td>38.86</td>\n",
       "      <td>38.87</td>\n",
       "      <td>-0.172399</td>\n",
       "      <td>3389350</td>\n",
       "      <td>6647400</td>\n",
       "      <td>3.356342e+10</td>\n",
       "      <td>0.590890</td>\n",
       "      <td>-0.760</td>\n",
       "      <td>0.0490</td>\n",
       "      <td>39.1350</td>\n",
       "      <td>38.6200</td>\n",
       "      <td>55.00</td>\n",
       "      <td>36.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WMT</th>\n",
       "      <td>Walmart Inc. engages in the operation of retai...</td>\n",
       "      <td>125.57</td>\n",
       "      <td>125.510</td>\n",
       "      <td>125.22</td>\n",
       "      <td>127.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6551062</td>\n",
       "      <td>9949890</td>\n",
       "      <td>3.480942e+11</td>\n",
       "      <td>0.522349</td>\n",
       "      <td>-0.237</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>126.7900</td>\n",
       "      <td>125.3500</td>\n",
       "      <td>160.77</td>\n",
       "      <td>117.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIS</th>\n",
       "      <td>The Walt Disney Company, together with its sub...</td>\n",
       "      <td>108.12</td>\n",
       "      <td>106.810</td>\n",
       "      <td>108.20</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6369904</td>\n",
       "      <td>12042498</td>\n",
       "      <td>1.939274e+11</td>\n",
       "      <td>1.237122</td>\n",
       "      <td>-0.478</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.7000</td>\n",
       "      <td>105.3800</td>\n",
       "      <td>187.58</td>\n",
       "      <td>90.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOW</th>\n",
       "      <td>Dow Inc. provides various materials science so...</td>\n",
       "      <td>50.99</td>\n",
       "      <td>50.770</td>\n",
       "      <td>50.18</td>\n",
       "      <td>51.57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3280017</td>\n",
       "      <td>6007443</td>\n",
       "      <td>3.799767e+10</td>\n",
       "      <td>1.406411</td>\n",
       "      <td>-0.100</td>\n",
       "      <td>0.0526</td>\n",
       "      <td>51.7700</td>\n",
       "      <td>50.7300</td>\n",
       "      <td>71.86</td>\n",
       "      <td>48.27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      longBusinessSummary  previousClose  \\\n",
       "symbol                                                                     \n",
       "AXP     American Express Company, together with its su...         156.87   \n",
       "AMGN    Amgen Inc. discovers, develops, manufactures, ...         246.98   \n",
       "AAPL    Apple Inc. designs, manufactures, and markets ...         165.58   \n",
       "BA      The Boeing Company, together with its subsidia...         166.50   \n",
       "CAT     Caterpillar Inc. manufactures and sells constr...         183.64   \n",
       "CSCO    Cisco Systems, Inc. designs, manufactures, and...          45.38   \n",
       "CVX     Chevron Corporation, through its subsidiaries,...         151.14   \n",
       "GS      The Goldman Sachs Group, Inc., a financial ins...         331.87   \n",
       "HD      The Home Depot, Inc. operates as a home improv...         307.17   \n",
       "HON     Honeywell International Inc. operates as a div...         192.44   \n",
       "IBM     International Business Machines Corporation pr...         131.64   \n",
       "INTC    Intel Corporation engages in the design, manuf...          35.66   \n",
       "JNJ     Johnson & Johnson, together with its subsidiar...         171.79   \n",
       "KO      The Coca-Cola Company, a beverage company, man...          63.67   \n",
       "JPM     JPMorgan Chase & Co. operates as a financial s...         112.36   \n",
       "MCD     McDonald's Corporation operates and franchises...         260.64   \n",
       "MMM     3M Company operates as a diversified technolog...         148.12   \n",
       "MRK     Merck & Co., Inc. operates as a healthcare com...          86.82   \n",
       "MSFT    Microsoft Corporation develops, licenses, and ...         283.65   \n",
       "NKE     NIKE, Inc., together with its subsidiaries, de...         114.48   \n",
       "PG      The Procter & Gamble Company provides branded ...         144.65   \n",
       "TRV     The Travelers Companies, Inc., through its sub...         157.70   \n",
       "UNH     UnitedHealth Group Incorporated operates as a ...         533.75   \n",
       "CRM     Salesforce, Inc. provides customer relationshi...         191.27   \n",
       "VZ      Verizon Communications Inc., through its subsi...          44.43   \n",
       "V       Visa Inc. operates as a payments technology co...         213.47   \n",
       "WBA     Walgreens Boots Alliance, Inc. operates as a p...          38.98   \n",
       "WMT     Walmart Inc. engages in the operation of retai...         125.57   \n",
       "DIS     The Walt Disney Company, together with its sub...         108.12   \n",
       "DOW     Dow Inc. provides various materials science so...          50.99   \n",
       "\n",
       "           open     bid     ask  52WeekChange    volume  averageVolume  \\\n",
       "symbol                                                                   \n",
       "AXP     156.480  157.31  157.36     -0.084559   1451049        3559309   \n",
       "AMGN    246.460  246.06  246.10      0.073126   1456077        3134937   \n",
       "AAPL    163.210  164.79  164.80      0.134597  38955349       87290604   \n",
       "BA      164.400  164.79  164.79     -0.280249   2894596       10537591   \n",
       "CAT     183.580  185.54  185.62     -0.118599   1221492        3137691   \n",
       "CSCO     44.910   44.86   44.87     -0.183666   9883664       23821166   \n",
       "CVX     149.640  154.41  154.43      0.482491   4771723       10568296   \n",
       "GS      330.900  334.53  334.77     -0.165925   1054771        2517750   \n",
       "HD      305.380  308.05  308.06     -0.068730   1145639        4038029   \n",
       "HON     191.570  192.27  192.32     -0.162139    913704        2840575   \n",
       "IBM     131.250  132.14  132.16     -0.044379   1410444        5545901   \n",
       "INTC     35.345   35.26   35.27     -0.338650  25666702       38486506   \n",
       "JNJ     171.300  171.07  171.08     -0.007625   2997064        6815009   \n",
       "KO       63.630   63.02   63.03      0.124117   6269856       16990719   \n",
       "JPM     112.530  115.85  115.86     -0.286603   9817044       13179170   \n",
       "MCD     259.640  258.54  258.59      0.103191    960726        2766145   \n",
       "MMM     147.010  147.80  147.83     -0.252410   2679588        3123577   \n",
       "MRK      86.530   87.22   87.23      0.150848   4860070       11348829   \n",
       "MSFT    279.150  282.22  282.26     -0.020072  10450026       29791038   \n",
       "NKE     112.790  113.50  113.53     -0.337500   2551638        7484835   \n",
       "PG      143.750  143.92  143.95      0.022912   2803762        7505674   \n",
       "TRV     158.270  158.91  158.99      0.031933    447141        1235390   \n",
       "UNH     530.000    0.00    0.00           NaN   1377469        3332833   \n",
       "CRM     187.000  189.48    0.00           NaN   2610629        7413259   \n",
       "VZ       44.480    0.00    0.00           NaN  10147980       20449301   \n",
       "V       210.710  208.51  215.03           NaN   2997924        6814374   \n",
       "WBA      38.920   38.86   38.87     -0.172399   3389350        6647400   \n",
       "WMT     125.510  125.22  127.37           NaN   6551062        9949890   \n",
       "DIS     106.810  108.20    0.00           NaN   6369904       12042498   \n",
       "DOW      50.770   50.18   51.57           NaN   3280017        6007443   \n",
       "\n",
       "           marketCap      beta  earningsGrowth  dividendYield   dayHigh  \\\n",
       "symbol                                                                    \n",
       "AXP     1.180028e+11  1.146400          -0.082         0.0134  158.0390   \n",
       "AMGN    1.315678e+11       NaN           2.026         0.0314  247.0800   \n",
       "AAPL    2.650718e+12  1.230174          -0.077         0.0055  165.8500   \n",
       "BA      9.784895e+10  1.367816          -0.680            NaN  167.0700   \n",
       "CAT     9.896221e+10  0.993188           0.032         0.0242  186.0900   \n",
       "CSCO    1.872348e+11  0.950386           0.076         0.0333   45.0700   \n",
       "CVX     3.117967e+11  1.146807           2.719         0.0366  155.0100   \n",
       "GS      1.154881e+11  1.385929          -0.485         0.0240  336.9100   \n",
       "HD      3.170454e+11  0.991459           0.060         0.0248  308.8100   \n",
       "HON     1.307701e+11  1.082588          -0.098         0.0204  192.4000   \n",
       "IBM     1.184666e+11  0.852785           0.041         0.0499  132.4000   \n",
       "INTC    1.483741e+11  0.619357             NaN         0.0400   35.6900   \n",
       "JNJ     4.500104e+11  0.589263          -0.234         0.0259  171.4900   \n",
       "KO      2.727544e+11  0.557684          -0.279         0.0274   63.6400   \n",
       "JPM     3.444875e+11  1.103294          -0.270         0.0352  116.1899   \n",
       "MCD     1.911951e+11  0.561203          -0.458         0.0211  260.0299   \n",
       "MMM     8.397956e+10  0.966653          -0.947         0.0415  148.4900   \n",
       "MRK     2.225185e+11  0.324928           1.541         0.0315   87.5000   \n",
       "MSFT    2.105884e+12  0.927206           0.031         0.0088  283.6500   \n",
       "NKE     1.779172e+11  1.023586          -0.043         0.0107  114.2750   \n",
       "PG      3.459757e+11  0.342822           0.071         0.0252  144.4050   \n",
       "TRV     3.784515e+10  0.635217          -0.380         0.0235  159.5450   \n",
       "UNH     5.004502e+11  0.774372           0.197         0.0122  533.1600   \n",
       "CRM     1.871155e+11  1.075776          -0.943            NaN  191.7300   \n",
       "VZ      1.881436e+11  0.383567          -0.116         0.0554   44.9150   \n",
       "V                NaN  0.896977           0.359         0.0071  214.7600   \n",
       "WBA     3.356342e+10  0.590890          -0.760         0.0490   39.1350   \n",
       "WMT     3.480942e+11  0.522349          -0.237         0.0170  126.7900   \n",
       "DIS     1.939274e+11  1.237122          -0.478            NaN  107.7000   \n",
       "DOW     3.799767e+10  1.406411          -0.100         0.0526   51.7700   \n",
       "\n",
       "          dayLow  fiftyTwoWeekHigh  fiftyTwoWeekLow  \n",
       "symbol                                               \n",
       "AXP     156.0000            199.55           134.12  \n",
       "AMGN    241.7900            258.45           198.64  \n",
       "AAPL    163.0000            182.94           129.04  \n",
       "BA      164.0000            241.15           113.02  \n",
       "CAT     183.2300            237.90           167.08  \n",
       "CSCO     44.5450             64.29            40.82  \n",
       "CVX     149.0400            182.40            92.86  \n",
       "GS      329.6700            426.16           277.84  \n",
       "HD      304.4950            420.61           264.51  \n",
       "HON     190.3400            234.68           167.35  \n",
       "IBM     131.0800            144.73           114.56  \n",
       "INTC     35.1800             56.28            35.18  \n",
       "JNJ     169.8000            186.69           155.72  \n",
       "KO       62.6700             67.20            52.28  \n",
       "JPM     112.0500            172.96           106.06  \n",
       "MCD     257.0700            271.15           217.68  \n",
       "MMM     146.4300            202.77           125.60  \n",
       "MRK      86.0200             95.72            70.89  \n",
       "MSFT    278.6800            349.67           241.51  \n",
       "NKE     112.5725            179.10            99.53  \n",
       "PG      142.7700            165.35           129.50  \n",
       "TRV     157.9700            187.98           145.40  \n",
       "UNH     527.5600            553.29           383.12  \n",
       "CRM     186.2800            311.75           154.55  \n",
       "VZ       44.3601             56.20            43.77  \n",
       "V       210.5000            242.60           185.91  \n",
       "WBA      38.6200             55.00            36.57  \n",
       "WMT     125.3500            160.77           117.27  \n",
       "DIS     105.3800            187.58            90.23  \n",
       "DOW      50.7300             71.86            48.27  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list_df = fundamental_info_df[['longBusinessSummary', 'previousClose', 'open', 'bid', 'ask', '52WeekChange', 'volume', 'averageVolume', 'marketCap', 'beta', 'earningsGrowth', 'dividendYield', 'dayHigh', 'dayLow', 'fiftyTwoWeekHigh', 'fiftyTwoWeekLow']]\n",
    "list_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "eeb6e516-18a2-4277-80ab-06b3b83064f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='symbol'>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "symbol\n",
       "DOW     1.406411\n",
       "GS      1.385929\n",
       "BA      1.367816\n",
       "DIS     1.237122\n",
       "AAPL    1.230174\n",
       "Name: beta, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "symbol\n",
       "MRK    0.324928\n",
       "PG     0.342822\n",
       "VZ     0.383567\n",
       "WMT    0.522349\n",
       "KO     0.557684\n",
       "Name: beta, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AzGwacEdm3y+ADc1sspk9D3gF8PtxL6WIiJSq0rTSGrWyFjAA7E4E9unufnkatbIPcVE41t0v7m2RRUQkq2sgFxGR/qYJQSIiDadALiLScArkIiIN94wI5GY2ZaLLICK9ZWZ7mNmzJ7ocE2GRB3Izm2RmW5vZJhXSrlz2r+bT3lCzjCvVzL8sn6VSeUuXLUijgoq2LzceZZDRMbNnmdkLJvD5BybquTNl+OwovmvjXYZ9zexZBds/VJB8LeAOMzvFzNYe5fO92sxOHc2xo2Vmy4w1j66LZvXA14DnAc81s9e5+3Ed0l4AjBDDHkmPX5qOr7OmS6UvhZltCnyEWDtm+cz2C9x9p6pPZmZLAv9HDNO8D1jBzH4IHOjuT+aSX2Nm73X3BzLHbwZ8E3hJLt9lgSOAjwGvBM4EHgf2dHcvKMfbgfcAzwfuBc539+sL0m1U9lrc/acF6f9GfBYtT38+7r5aQfp9gDPSbOANgVe5+6m5NFvkDhsBHnD335aVzczeBXwUWBm4B/iqu19UkK40GLn7Pbm0ywJfB9YBHjKzFwLXAR9299kFeb+vQ97fzqU91N2/mNu2HHCuu+df/3XAZmV55/I40d0PSI93cfdz0uNL3f2dubRLAu9z92+a2bnEeT4C7OPud+Wy/g9wmZn9CzgNuMLd53cox49Z+Lx4mrtvlklX5/z5MrCHmb3T3f+Z2b4DMSw6+xwHmtnHgW2BY1OAPAM4z93ndCj3EsD2xHf/hcDpBWmefo+rqPld/ZWZPUAshXKVu/+i6vO0TEQgf6W7b5hOqCvJLMKVlxbqAqKGBHwWeC6wZc3nLB1jaWbPAT4AfJA4qT8K7JxLNlzz+Y4E7m+dlOlEORL4HLHwWNb/Ateb2YeBn6U02xInVt6pwM/T45OAk4kJWicCb8u9rg8T79OJwP3AKsDhZvZSd/96Lt8P5v4eIYLIUsDUgnJcQay5cw3wHSKIFjKzo4FXp3TzgL8DB5nZsLt/LpP0vQWHr2hm97j73gX57gbsBOwH/BV4OfBFM3uOu5+ZSz4j/bsv/Z2tGKyfS3sCcIm775B5rr2ArwJFQft04G7iPXmczpWGrczsYXc/LeW7IfG+nNbhmCrWzDzeEzgnPV6mIO0XgVYwXjml35QIOh/IJnT3E4ATzGxdYv7IsWZ2CfCN/AUw2S/9PwCcRfH7BTXOH+BXxIX152a2q7vflHmONqmi9F3gu2a2IrGo3z1A2x1uWvRvX2A34GZgKXdfo6Qca5ZsL1P5u+ruLzWzVYFNgA+Z2VeBPwNX5ysDZSYikD8J8YaXNSvkpdukM4Frgde7+9ySdJ+nPWgPAIVNJWZ2MhGwLgXeCZzk7ucVJF3dzI4tysPdDy/YvKm7b5BJ8xRwlJndUnD8j8xsS+A84ot3E/CGkhrECu5+kpkNEbeR33b3kXQxytsF2DA9N8DvzOxHwI+IL0a2DE8H0VSTOIWYobt7yWveP312WxABYFnge8CFxFLHWVsC09x9JB07w8x2Sq/zc5k8C5/LzG4u2g7sDWyeORd+b2Y7AlcT50rWDkTQnwxcRATqshraau5+bu71nm5m+Yt7y0rEXc/WRMA4x91vKEm7NXClmc1Jx+0O7OjutxakfVWqMbdx93xZBkoeF1Vg1s7Ujp9MtUM3sz1Lyoy7/4qoNS5FfN4OtLVFZ2uaZvbforvElK7O+TPi7ueZmQPnm9mXCyoiCzGzycT3+X3EsiGHliSdTgTWddz9ETO7skO2K6U7y6LXU1SeOt9V3H0GcKaZ/Y5oEXg3cCDQt4G8svRhH07UkPdx9593OeTOku1FwRZiZcfbgFuBuyivuc8hTt6qnijZnm9WaZkGrEgsh7A60XRUFGj+m/7fGPhZKzgCRSfHE5kgDoC7zzWzeQVpATCzrYga6Ynu/tWydCmv+aRbwRT8v0bUPPIdy49mytk69kkza2umyJVlKaKWXvaZzMtf0N39UTN7Kp/Q3S8BLrFYRmIHIiDMIpo0rs4lL/vsypoMZhK1rZPNbHVgFzM7HLjN3T9ZUL6tiJroE8C6Rc01yT+pXlMfKXlcZInM42z5Hik7wMxeDOwK7Aj8CXh7xXKVqnH+tNLfbmbrAxeY2ToUxC6Lfrf3E3cY3wM+7u6dlgzZA9gLuM7MzgDa2uIznkXcsefvBMre78rf1dREuBWwHlFrvxLYyd3/1aE8C5mIQL6Bmf2TeEOWzTwecfcVc2lvJpoEvgi80sxe2dpRchX8DlEDfLRDrehp7v7adHLsDRwPDJjZGu6evyDc5+5nVXt5ADxuZqtn2xzTl/yxfEKL1SWNqMXfbWbbAj8xs4Pc/Qe55P9KdwZbAMeY2dLAAcDvCspQ1pbZdkuaagknEGvlbFnQVtomXWQ3J4Lta4iT7w0FSR8zs9Xc/a+ZY1eje8AZIJpk3l+yfwkze667P5rJd4iFA9VCPJZa/qaZ/RE4mKi5r5BLNsXMXkb7+1RYk8p5irhYL0305SzEzF6eHh5AnKtvMbM/pLL9OZf8IXf/SYXnhAV3jAO5x239FcQ5PuTusz2WpSadR0XnxQeI9385os/mLe7+YFkhbOFOyUmp+XQgvb4ncmmrnj9rmNlkd3/c3f9tZpsT7eb5JjGAo4m7zf3K7tqz3P1C4MLUrLEnsJqZXQCc7e0/kDPD3T/bLc+M/Hd1iKhhF31XLyDuFLcviD2VLPJA7u6FV710O5T3w/T/EAuvsljmFKp3pLbKcxNwU3qjdwHONrMBd8+uu35bQXlfDXzE3ffL7yNqOpeb2TeJmv5LiIvFbgVp/wns26o9u/tl6fbqAiAfyD9IaqskFix7BbAq8OGCfF9nZjfltg2kY/J+T9wqfxvY08ye3lHUdGRmpwAbEaOBvp5ptyzyCeB7ZnYd0Za9MvEjJAsFaCvucL2cCLR/Kdj3FeBSM/sE8R6vCnwpbW9jZmsRd3ZbAr8m2rbfU5D0MXJNT5ntRfkuT9RUdyRqYecBW7h7UQ03W8O+l2i/hQV9Eln5z76TI0seH1WQ9hTi7uTjRNPCS4j37eSCtJsAn+ry+WY5Cw9OaF2cRshcVGqePxcRzWY/Ak7z6Pw+2My+3Pbk7ptULGf+uBnAEWZ2FFEz3hvIB/J/1Mz26e+qu3/PYsHB5YgO1bwXpec9Jl1UbiQubD+uckGCCQjkZvYd4ufiHs9sewVwPvFzck9z989k0qxIlHfE3f9ekn3ljtSU59rAMURn4PnA/6Rd2U443P2QlL5r73ZK/1uLETC7EVfke4kvd9HJMEA0q/w9c/zfzOxNBWlXA97t7puZ2Z3ALOIkeCtwSS7t/vmDk6Ka8NElacvsBzwIvAt4l5m1vrxtd1Xu/geLTr1tidd5O/DZgiaFuh2uNwMPA58h3pd7iVvzopElf0gPzyPaTVtBeXUWBJtWeTfNHTvoC5ZtLnIvEcAuIM6jZwHvMbO2u8Z83pnnWL5g8+TM/hW63Gbf4+4/zuU5AHw6n9Ddz0/7jiMukn8HvuLuVxTkeyAxYsSAs9x9vpmtSQTUthqxu78kv61EnfPnADM7hIKRKBWfq6PUTPMf4nM8lPj8iu4CD7eS0U9e0PGb4tvXMn/fArT1kaV99xGv6YwUY7YkmoMvptqd4IQ0rdxA9EDv4u5usXri4RRcqVJTyldS58z1xBv+IjM7MLV75tXtSP0aUWtpdba8FphJtN2dkClHnd7tlmVbdwSpWWUqxVf1B4na+0JDvLx9mCLECJdWx82/3H1TM3spcUHJvx9rsKB29F7g3PS4LZC7+1npy70R0ZR1D/CTfNt2Jn3l+Qe2YNhWx04br9nhStytbebu26RjBoBPEStx5r9wM4nX/WYW1Hxb78VCNWEzexERlLd291nAjma2P3Hbmx3+1nIMC97nooCczXsd4qI5CzjE3WdajIf+FO0d8pulvCFGoXQainiqme3madiaxZDGcyj4rC1GMx1CNAN9xN2v6pDvhcSokdcCLzaz+4nvy8dKXt+RRduJAJ3t2C6bOzHmkSh1mNnxwOuJ4D0L+BfxHf0O0TGdNYPqI59I3+eigRdtF6v0eW2Y/q1PjO76MQUX4jIT0bRyupn9GjjHzP5NvNj10lUpr07gGo0n3P0aADM7wN3/kh4/mktXp3e71XlxrJm9IbXLvhD4lpl9wt2/l03r9YZ4TfEYQQBRG8Xdp5tZ2+eY7Wgzs2lFTSSZ/S8kbiWnA38DtgGON7O3F9UEU61hW+AB4LdE7e5ZwFHufncuea1hW1a9w/WzxAiQNwNLEoFrLjH+eyE1b7lPBb6Ugjjufq6ZPZm2v6Mg76Nr5P0NotltFeB/Ut/ESkSHWF7ZSJQi2xLNTO8mKgxnERWg4wvS7kL0ySwNnE36GccSQ+5+eAqwTgSy13hmzkPO/bm/n0M0rc0gc5dr0em8JxE8F6rpU9z2XWckSh3ru/u0lLe7+9vSc/24IG2dkU+4+wrpjn8H4oJzL3BhK8bk3Ex0gF9L3K0+VPeFTNSolSWJ3ukpRLtpWY955cCV1OlIhYU7BB/PPM7XGOr0bkPUeNZLQRx3vyk1L1xO1PzbeLUhXs/OpN8us71sNExLt47F44DD3P261gYzexsxqamoHfks4n1dmmjauZy4Rf8W7TXHSsO2rGaHq7t/NzWhXUMEr9LAb2Y7pNcyB9jV3X/ZIeuhgovtRWZWOBnEzOYTd4rZzryyc+6/7v6jdNyRxPu4a8mdT+WRKO5+Z3qNlxDnwrvc/dclyR/36Hj8txXMmMynTfmPmNljwDuyTaIF5Xi6DyA1DZ5O9Fnkh+5eRHFN/5B8nlZ/JEodj6VyP25mf81sL7prrTPyqXXOfYK4OP2SuHh/18yOdPfLcnm/LLUgbAi8w+LnNEvviItMRBv5p4lOp93c/bZ023prujX8TS55rcDl5R2pLyopTmus7kDu8Suzibxe7zbEl+U/uTweMLPSL4EtPMTrToqHeP0j1fJ/kTnuDSy43RutF2eDeCrvVWZ2REn61dx9/VQz/6O7H5XKUhT0qw7bqtXhmrafl8qwN1HbLXMQMZZ3KnGxaKtZZ5TVfsu2H0K0ad5FjCH/WYe8s23t/3T3TrfOrc7qAWLEVuvxSEn79B9SjfxbRFNSFd1q+tnP6MFOQbwlXVyPBd4C7FxyQalT0z+aGiNRanq2xQilSbnHpWszebWRTxD9C5u4e2sYImZ2FnBZ+kdm+wuIzu1Kd8RFJqJG/nJiwsujAB6D5lsdAfmRK2MKXFYy5T5jx8zjU0set/JqTTM/wsyuIYZMFfVuA4yY2bPd/bHM8VOIO5F8vrsTbe/DdB/idSjRnn4d8aGvRrT7blOQ73ksaLtdaHKJt08oaRt73UWrpvaUmWXb/YvaPqsO2/pC+n8k8/9ziNpum9zrW53od5meypV/fXNTU8ksK5mQkXGrme3v7idlnuujFA8bIzVfHG9maxBjyI8mJjt9x71tQkxrSN4kYlhm6fA84sJTSa49dmngj63mwYK7gqLKS+u15N+3WhcTM3stcSG5iviOl90pVq7p12wWq8uIi8QIC49WKhuhVHXkE8Q8h/9mN6Rm2aLv2vHUuyNuMxFt5E9P2zWz1xOBdgsiiOV9gljroWvgyuSZn3K/P+1T7ltlqTRO19qnmd9DXHHbhiUmJwE/NLMTWDDk7hCKh8ZtTLSNfcmjk3ZDM2tbiySV92/pQrYNMWzsV8AR+RMm6XhhyrnHzLbxzMgFi3VaZpSkf77F2igDucfLFqStOmyr6IR9AXEbXqTO68vqVgv9NNFn8Q+iwrAMMVv0oE4HeYz/PSLd/R1H9B3kKyarsGBi2UDmMeTGfHvMKVjbYwTUkkQn7lxidENeftmHlqJb87LKS5GrgY93SZN1K9FMujExFwKKA3/tmn6P/Jb4TH5CjHL7UVn7tC088un9LJiw1zbyKSmbx1FU2al7R9xmIppWnkWMovgwcWIuTdyqt10F3f2vNQJX2ZT7wmnONXWaZt5W2/QYN/oA0a6+IhEQP+lpAkbODKKDbkmiyahsLZJW3o8Rowk6qnqRSg4h2v/2ZsGY7OUpv2DezoLAe1vm8e0F5di1SgG8YGheaje8hYLhkTVfX9GEmVY++Wab1pCxG4jFxv5ENPmcQvSVtLEYZdMaSw4x6iU/nLKVZ3acdSkzOxjYKbU1f5kIOHcTtbR8e31+BNUAUZl5jNxooZrv23Le3nndSXZNnFWIYHcJ7Xd8RTX9VvkKOzt7wd03SX1S6xFj5vdO59wNBd+9FYHfEPGl48inpGiJhbZm26TuHXGbiWhamUFc1XZx97+Y2ZVFQRwWmiRyHwuaU15nMUa3bVU+qk+5r6tsmnl+dEt2/01EoMfMXkX51O9Ka5H02FZETe/5xMk2k5iotBXFwwbLhl4WDXfL3va3TvwhoiO7dBZmavvegIorV3ZxbKYMxxK1pbJmm3WJwH0OCzp1S1msarkSceewNzE6oey8W4dofz2HdG50yP/dxAiOEeKO8mXu/pC1T/LKj1BaPZX7B8Rd41jUXWMof14ME4H8JBa+k1ibmPtwPfG9WJm44+04GqwXPJatuI24mxwiPqPXFiStXHtPdizZXnQXdI+ZbZ3tb+tyR9xmIgL5CcQQqFUtpqd3+qLcQATk1iiD7NjNtkDu1afc1/WYFU8zL7x9sphG/E3itmsPom17ppmd7u75SUT/LblIdFyLZJxlZ3u2xpwb5QGpUrsdxDCs7N9mth9xB3Bwl0MnEytRfrTqc3VQudnG3deymLW7K9Fk8VOivXt6Sd6t924P2mvs+eaStWvkPTv1QawD/DUTNEq/LxZjxA8EDirphK+r1hpDnltbJpVpMvE9zgby9xPDUs929zmp0/MgYpjeoqq8YGYfIyoryxDNm98n2qrb2vZr1t5He0e8D9XuiNsMjIyMV6W1HjPbmGh62IroNDjbc8OK0km8M3GVvJ446WdUzL815f5jwKru3tbRWKOsryLuItqmmRf1ypvZz4gZmPdZrL28OdFkcoNnluZNab8P7F9wkfiGu795tGUeLTP7cVEzxzjkuyJxcZsNfMjd/z3ez1GzPJOAW9y9aH2PbLqNiIvJi919WsH+b1HSXOIlKzpWydvMrmbBhex+dz8mjao4w903zKVdiehk/A/wwdSxO2bjdS6Y2U/dfaPM37eSuQtN25YEbnL314/1+WqU6yGiY/Z0Yrhft2G8rbiyOTGAYh1glrtvPw5leQ1xEWutXX6+F485LzRhqx+mK9ZPLKbc7kZMTnhtLs3twO3pir0Z0Zm0PHC5Z8aslliDuDUdIpZuHUtZq04zb3kyBfHV0uPpACU91pXWIlmExv3Kbma7Eu3cR3jxMsGLVJVmm/SF3Z64Q3kO0dFdpE5zSZ28P018J+4DPpkqPmdTfMv+B6K/6Xrgq7bw0M2y5XerKOvMryx9X/MjhfrhLhSi6WdDojJ5bGoGvBL4obf/4Ejl2ntdFsNGDyVGzXyDDmPOy0z4MrbplvFkihftaaUZSW2DLyBmdu1FwRKfJR2pLylrg69ZzoepuDYwMfxwkBgLfnUq23MpGJ86iotEo5jZxUTt5ZPAg5b5JSBPk2MmQGmzjcWa5u8hvkwXE+OXZ5RlVKe5pGbeHyQC9ADRxvxs4odH9qF9zY5ty8o3Fp7WGKrKFgwJbZlMDNPNN6PNKWmqXKTNAykIX5/+tYb8HU78iEi+/+YIovb+eSrW3ms4gIpjzstMWNNKFel2a0uiecWIF3Wee/GC9RYzOc8DTs10pG65yAq8oBzvJ2pUSxJ3ElOI2tTJ7l40fGxC2cJjsjcjmpCAMdfoWk0PUDxbrnAUyESymKl5J9G5BZlyV3kvujSXVM7bYgXMVqdra4RHK23bTMJ+kO4ash4D/pSvlNRtquwVi2UxWmucrEF8LtcC1xTUyJdkQe19I2JdlsLa+yjKcYMXjJc3s2vd/S1V8pjwGnkXDxCjJ84j2gBHgFXMbJWS2twJVO9I7RmPRaieB3zL3WenGvcF/RjEk9GOya6i8giXPjGqNuGKzSWV8x5Fp+uEq9rB10d3oV8gml2PAX6db+7Jqll7r6vOmPNC/V4jP5OFZ/pBtGtt7u5F65e3juvakdpLFusar0n8yO0ci6n9xxMnyyLrle8HZrZK2b6aY5T7UkFzyblVO+RrPk/HTlfprTq191HkfT+Zu+BkgPixmY4raj6duJ8DeZbFxKDWLNCL3b3oxxTyxyxDdKTu4e5FY0N7ol965aX3xtoUUyH/fE3/Ancv/PEM6R0zu5aovV9Ll9r7KPIuWv0SqH6X09eBPNN5+SFi4sDSRIAcc+dlL5nZdUVDB83sel/ww7eyGBiPL2FJvoukpi+Lh35vI59BtI/v6l1mgfaZsglE/XvVlFEZS7Du4nwW1PTXJIbHtZ5zzDV9Wbz0eyA/gT7ovByFfhsbLs0z7pOyZPHV100rLRPdeTkaadRKq1f+buD7i8vYcBHpL40I5C0T1XkpItLPGhXIRUSkXeUB5yIi0p8UyEVEGk6BXESk4RTIRXLMbFUzm1HzmBvMbJPelEikMwVyEZGG6/cJQSKVWPx6/TnEeiTziSWP3+7px3zT0sLTiN9zfTvxO5svIiadrUws3/sgsWwywGQzu5BYPvkuYE93n2Vm04ATibW2/w3s288rEsozg2rksrjYk5h0tS7xaytPAMtb/BgxxKzaM9PjNwBvI1ayOw640t3XSvvemv5/AXCSu68NTAeOTGv/nA98JG0/lVhCQmRCKZDL4uJa4BAzO5eobZ9M/Jr8rma2MvBCd781pb3R3R/JLKPbWkL0bmBqeuzu/vP0+DvED+6+nPiNxl+mBBcBL02zeEUmjAK5LBbc/Ubih2uvBnYCriBq4O8hVtDM/kzfE7lj5xVkmd02ADxJ8fdlgLH/sIDImCiQy2LBzL4I7ObuZxHr1q+Tatz3Er9/eXbNLF9hZq1lIPYgavwOPN/MXp+ec0fgbnf/z3i8BpHRUiCXxcXJwLvM7DfApUTwhmjT/qO7/7Nmfq128TuIX6U61t3nErX9r5jZ74kLxk7jUXiRsdBaK7LYMrNBoiZ+kbtfMtHlEekV1chlsWRmA8QPd88HvjexpRHpLdXIRUQaTjVyEZGGUyAXEWk4BXIRkYZTIBcRaTgFchGRhvt/vj/IlzZYHUQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(test.beta.plot(kind='bar'));\n",
    "display(test.beta.nlargest(5));\n",
    "display(test.beta.nsmallest(5));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b3d7b3c8-2f15-4d3b-a890-4c79b669535c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='symbol'>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "symbol\n",
       "AAPL    2.650718e+12\n",
       "MSFT    2.105884e+12\n",
       "UNH     5.004502e+11\n",
       "JNJ     4.500104e+11\n",
       "WMT     3.480942e+11\n",
       "Name: marketCap, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "symbol\n",
       "WBA    3.356342e+10\n",
       "TRV    3.784515e+10\n",
       "DOW    3.799767e+10\n",
       "MMM    8.397956e+10\n",
       "BA     9.784895e+10\n",
       "Name: marketCap, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(test.marketCap.plot(kind='bar'))\n",
    "display(test.marketCap.nlargest(5));\n",
    "display(test.marketCap.nsmallest(5));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b61f9e5f-36b8-4122-a1e3-8dc776c4d3f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='symbol'>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "symbol\n",
       "CRM     40.332270\n",
       "BA      39.515896\n",
       "AAPL    25.651634\n",
       "NKE     24.755032\n",
       "UNH     24.542608\n",
       "Name: forwardPE, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "symbol\n",
       "DOW    8.052507\n",
       "VZ     8.300000\n",
       "WBA    8.315846\n",
       "GS     8.679710\n",
       "JPM    9.228322\n",
       "Name: forwardPE, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(test.forwardPE.plot(kind='bar'))\n",
    "display(test.forwardPE.nlargest(5));\n",
    "display(test.forwardPE.nsmallest(5));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "84537500-6fe2-4e80-9891-a7e01d119083",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='symbol'>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "symbol\n",
       "VZ     0.0554\n",
       "DOW    0.0526\n",
       "IBM    0.0499\n",
       "WBA    0.0490\n",
       "MMM    0.0415\n",
       "Name: dividendYield, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "symbol\n",
       "AAPL    0.0055\n",
       "V       0.0071\n",
       "MSFT    0.0088\n",
       "NKE     0.0107\n",
       "UNH     0.0122\n",
       "Name: dividendYield, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(test.dividendYield.plot(kind='bar'))\n",
    "display(test.dividendYield.nlargest(5));\n",
    "display(test.dividendYield.nsmallest(5));\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "68dc3b39-8885-4b2b-aa34-0dcb8974c377",
   "metadata": {},
   "outputs": [],
   "source": [
    "fundamentals_list = ('zip', 'sector', 'fullTimeEmployees', 'longBusinessSummary', \n",
    "                       'city', 'phone', 'state', 'country', 'companyOfficers', \n",
    "                       'website', 'maxAge', 'address1', 'fax', 'industry', \n",
    "                       'ebitdaMargins', 'profitMargins', 'grossMargins', \n",
    "                       'operatingCashflow', 'revenueGrowth', 'operatingMargins', \n",
    "                       'ebitda', 'targetLowPrice', 'recommendationKey', \n",
    "                       'grossProfits', 'freeCashflow', 'targetMedianPrice', \n",
    "                       'currentPrice', 'earningsGrowth', 'currentRatio', 'returnOnAssets', \n",
    "                       'numberOfAnalystOpinions', 'targetMeanPrice', 'debtToEquity', \n",
    "                       'returnOnEquity', 'targetHighPrice', 'totalCash', 'totalDebt', \n",
    "                       'totalRevenue', 'totalCashPerShare', 'financialCurrency', \n",
    "                       'revenuePerShare', 'quickRatio', 'recommendationMean', 'exchange', \n",
    "                       'shortName', 'longName', 'exchangeTimezoneName', \n",
    "                       'exchangeTimezoneShortName', 'isEsgPopulated', 'gmtOffSetMilliseconds', \n",
    "                       'quoteType', 'symbol', 'messageBoardId', 'market', 'annualHoldingsTurnover', \n",
    "                       'enterpriseToRevenue', 'beta3Year', 'enterpriseToEbitda', '52WeekChange', \n",
    "                       'morningStarRiskRating', 'forwardEps', 'revenueQuarterlyGrowth', \n",
    "                       'sharesOutstanding', 'fundInceptionDate', 'annualReportExpenseRatio', \n",
    "                       'totalAssets', 'bookValue', 'sharesShort', 'sharesPercentSharesOut', \n",
    "                       'fundFamily', 'lastFiscalYearEnd', 'heldPercentInstitutions', \n",
    "                       'netIncomeToCommon', 'trailingEps', 'lastDividendValue', \n",
    "                       'SandP52WeekChange', 'priceToBook', 'heldPercentInsiders', \n",
    "                       'nextFiscalYearEnd', 'yield', 'mostRecentQuarter', 'shortRatio', \n",
    "                       'sharesShortPreviousMonthDate', 'floatShares', 'beta', 'enterpriseValue', \n",
    "                       'priceHint', 'threeYearAverageReturn', 'lastSplitDate', 'lastSplitFactor', \n",
    "                       'legalType', 'lastDividendDate', 'morningStarOverallRating', \n",
    "                       'earningsQuarterlyGrowth', 'priceToSalesTrailing12Months', 'dateShortInterest', \n",
    "                       'pegRatio', 'ytdReturn', 'forwardPE', 'lastCapGain', 'shortPercentOfFloat', \n",
    "                       'sharesShortPriorMonth', 'impliedSharesOutstanding', 'category', \n",
    "                       'fiveYearAverageReturn', 'previousClose', 'regularMarketOpen', \n",
    "                       'twoHundredDayAverage', 'trailingAnnualDividendYield', 'payoutRatio', \n",
    "                       'volume24Hr', 'regularMarketDayHigh', 'navPrice', 'averageDailyVolume10Day',  \n",
    "                       \n",
    "                       \n",
    "                       'regularMarketPreviousClose', 'fiftyDayAverage', 'trailingAnnualDividendRate', \n",
    "                       'open', 'toCurrency', 'averageVolume10days', 'expireDate', 'algorithm', \n",
    "                       'dividendRate', 'exDividendDate', 'circulatingSupply', 'startDate', \n",
    "                       'regularMarketDayLow', 'currency', 'trailingPE', 'regularMarketVolume', \n",
    "                       'lastMarket', 'maxSupply', 'openInterest', 'marketCap', 'volumeAllCurrencies', \n",
    "                       'strikePrice', 'averageVolume', 'dayLow', 'ask', 'askSize', 'volume', \n",
    "                       'fiftyTwoWeekHigh', 'fromCurrency', 'fiveYearAvgDividendYield', \n",
    "                       'fiftyTwoWeekLow', 'bid', 'tradeable', 'dividendYield', 'bidSize', 'dayHigh',\n",
    "                       'coinMarketCapLink', 'regularMarketPrice', 'preMarketPrice', 'logo_url', \n",
    "                       'trailingPegRatio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e2e22c5c-9acf-4d5a-be13-ef7435bc4cf2",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "\"None of [Index([('zip', 'sector', 'fullTimeEmployees', 'longBusinessSummary', 'city', 'phone', 'state', 'country', 'companyOfficers', 'website', 'maxAge', 'address1', 'fax', 'industry', 'ebitdaMargins', 'profitMargins', 'grossMargins', 'operatingCashflow', 'revenueGrowth', 'operatingMargins', 'ebitda', 'targetLowPrice', 'recommendationKey', 'grossProfits', 'freeCashflow', 'targetMedianPrice', 'currentPrice', 'earningsGrowth', 'currentRatio', 'returnOnAssets', 'numberOfAnalystOpinions', 'targetMeanPrice', 'debtToEquity', 'returnOnEquity', 'targetHighPrice', 'totalCash', 'totalDebt', 'totalRevenue', 'totalCashPerShare', 'financialCurrency', 'revenuePerShare', 'quickRatio', 'recommendationMean', 'exchange', 'shortName', 'longName', 'exchangeTimezoneName', 'exchangeTimezoneShortName', 'isEsgPopulated', 'gmtOffSetMilliseconds', 'quoteType', 'symbol', 'messageBoardId', 'market', 'annualHoldingsTurnover', 'enterpriseToRevenue', 'beta3Year', 'enterpriseToEbitda', '52WeekChange', 'morningStarRiskRating', 'forwardEps', 'revenueQuarterlyGrowth', 'sharesOutstanding', 'fundInceptionDate', 'annualReportExpenseRatio', 'totalAssets', 'bookValue', 'sharesShort', 'sharesPercentSharesOut', 'fundFamily', 'lastFiscalYearEnd', 'heldPercentInstitutions', 'netIncomeToCommon', 'trailingEps', 'lastDividendValue', 'SandP52WeekChange', 'priceToBook', 'heldPercentInsiders', 'nextFiscalYearEnd', 'yield', 'mostRecentQuarter', 'shortRatio', 'sharesShortPreviousMonthDate', 'floatShares', 'beta', 'enterpriseValue', 'priceHint', 'threeYearAverageReturn', 'lastSplitDate', 'lastSplitFactor', 'legalType', 'lastDividendDate', 'morningStarOverallRating', 'earningsQuarterlyGrowth', 'priceToSalesTrailing12Months', 'dateShortInterest', 'pegRatio', 'ytdReturn', 'forwardPE', 'lastCapGain', ...)], dtype='object')] are in the [columns]\"",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_28568\\872842492.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmatrix\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfundamental_info_df\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mfundamentals_list\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\anaconda3\\envs\\project3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3462\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_iterator\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3463\u001b[0m                 \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3464\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_listlike_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3465\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3466\u001b[0m         \u001b[1;31m# take() does not accept boolean indexers\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\project3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_get_listlike_indexer\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m   1312\u001b[0m             \u001b[0mkeyarr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnew_indexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_reindex_non_unique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkeyarr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1313\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1314\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_read_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkeyarr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1315\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1316\u001b[0m         if needs_i8_conversion(ax.dtype) or isinstance(\n",
      "\u001b[1;32m~\\anaconda3\\envs\\project3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_validate_read_indexer\u001b[1;34m(self, key, indexer, axis)\u001b[0m\n\u001b[0;32m   1372\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0muse_interval_msg\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1373\u001b[0m                     \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1374\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"None of [{key}] are in the [{axis_name}]\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1375\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1376\u001b[0m             \u001b[0mnot_found\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mensure_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mmissing_mask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnonzero\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: \"None of [Index([('zip', 'sector', 'fullTimeEmployees', 'longBusinessSummary', 'city', 'phone', 'state', 'country', 'companyOfficers', 'website', 'maxAge', 'address1', 'fax', 'industry', 'ebitdaMargins', 'profitMargins', 'grossMargins', 'operatingCashflow', 'revenueGrowth', 'operatingMargins', 'ebitda', 'targetLowPrice', 'recommendationKey', 'grossProfits', 'freeCashflow', 'targetMedianPrice', 'currentPrice', 'earningsGrowth', 'currentRatio', 'returnOnAssets', 'numberOfAnalystOpinions', 'targetMeanPrice', 'debtToEquity', 'returnOnEquity', 'targetHighPrice', 'totalCash', 'totalDebt', 'totalRevenue', 'totalCashPerShare', 'financialCurrency', 'revenuePerShare', 'quickRatio', 'recommendationMean', 'exchange', 'shortName', 'longName', 'exchangeTimezoneName', 'exchangeTimezoneShortName', 'isEsgPopulated', 'gmtOffSetMilliseconds', 'quoteType', 'symbol', 'messageBoardId', 'market', 'annualHoldingsTurnover', 'enterpriseToRevenue', 'beta3Year', 'enterpriseToEbitda', '52WeekChange', 'morningStarRiskRating', 'forwardEps', 'revenueQuarterlyGrowth', 'sharesOutstanding', 'fundInceptionDate', 'annualReportExpenseRatio', 'totalAssets', 'bookValue', 'sharesShort', 'sharesPercentSharesOut', 'fundFamily', 'lastFiscalYearEnd', 'heldPercentInstitutions', 'netIncomeToCommon', 'trailingEps', 'lastDividendValue', 'SandP52WeekChange', 'priceToBook', 'heldPercentInsiders', 'nextFiscalYearEnd', 'yield', 'mostRecentQuarter', 'shortRatio', 'sharesShortPreviousMonthDate', 'floatShares', 'beta', 'enterpriseValue', 'priceHint', 'threeYearAverageReturn', 'lastSplitDate', 'lastSplitFactor', 'legalType', 'lastDividendDate', 'morningStarOverallRating', 'earningsQuarterlyGrowth', 'priceToSalesTrailing12Months', 'dateShortInterest', 'pegRatio', 'ytdReturn', 'forwardPE', 'lastCapGain', ...)], dtype='object')] are in the [columns]\""
     ]
    }
   ],
   "source": [
    "matrix = fundamental_info_df[[fundamentals_list]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5491b55c-0a9b-4157-b404-5881b5a9bbb1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6140e02c-7c4a-4de5-8f40-73588e96b979",
   "metadata": {},
   "outputs": [],
   "source": [
    "information = ('info', 'actions', 'dividends', 'splits', 'financials', 'quarterly_financials', 'major_holders', 'institutional_holders', 'quarterly_balance_sheet', 'cashflow', 'quarterly_cashflow', 'earnings', 'quarterly_earnings', 'sustainability', 'recommendations', 'calendar', 'earnings_dates', 'options', 'news') \n",
    "\n",
    "# Using the Dow 30 dataframe pick a fundamental information piece from the list\n",
    "fundamental_dropdown = st.selectbox('Pick your fundamental interest', information)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "741798ce-6b6d-49b4-9a0b-cb1cde374928",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93877a1a-9257-4ec0-9e1a-5c03cfa0ca5e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5e03f58-5388-462e-8cfd-e2771e0af69d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8ed7330-8568-4217-8898-6d7971ee7181",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for i in fundamental_info_df.columns:\n",
    "#     print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9d8ea99-d12a-4dbd-bda8-15604ff7bf49",
   "metadata": {},
   "source": [
    "# Example to view on a micro scale (DELETE THIS PIECE, NOT NEEDED!)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "b3ecd4c6-291f-40db-ac03-0c591f5f59a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Microsoft Corporation'"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "msft = yf.Ticker(\"MSFT\").info['shortName']\n",
    "msft\n",
    "\n",
    "# do nlp word cloud on long business summary\n",
    "\n",
    "# make companys logo a nft using their link. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5530c2fb-4770-497b-811a-e8e4adfed844",
   "metadata": {},
   "outputs": [],
   "source": [
    "numshares = msft.info['sharesOutstanding']\n",
    "numshares"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee5dc898-0a12-4a3d-ad8d-5c0c08d41556",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "fundamental_dictionary_df = pd.DataFrame.from_dict(fundamental_dictionary)\n",
    "fundamental_dictionary_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b0eb9c5-706c-4630-afdb-ecd51e461863",
   "metadata": {},
   "outputs": [],
   "source": [
    "fundamental_list_df = ('zip', 'sector', 'fullTimeEmployees', 'longBusinessSummary', \n",
    "                       'city', 'phone', 'state', 'country', 'companyOfficers', \n",
    "                       'website', 'maxAge', 'address1', 'fax', 'industry', \n",
    "                       'ebitdaMargins', 'profitMargins', 'grossMargins', \n",
    "                       'operatingCashflow', 'revenueGrowth', 'operatingMargins', \n",
    "                       'ebitda', 'targetLowPrice', 'recommendationKey', \n",
    "                       'grossProfits', 'freeCashflow', 'targetMedianPrice', \n",
    "                       'currentPrice', 'earningsGrowth', 'currentRatio', 'returnOnAssets', \n",
    "                       'numberOfAnalystOpinions', 'targetMeanPrice', 'debtToEquity', \n",
    "                       'returnOnEquity', 'targetHighPrice', 'totalCash', 'totalDebt', \n",
    "                       'totalRevenue', 'totalCashPerShare', 'financialCurrency', \n",
    "                       'revenuePerShare', 'quickRatio', 'recommendationMean', 'exchange', \n",
    "                       'shortName', 'longName', 'exchangeTimezoneName', \n",
    "                       'exchangeTimezoneShortName', 'isEsgPopulated', 'gmtOffSetMilliseconds', \n",
    "                       'quoteType', 'symbol', 'messageBoardId', 'market', 'annualHoldingsTurnover', \n",
    "                       'enterpriseToRevenue', 'beta3Year', 'enterpriseToEbitda', '52WeekChange', \n",
    "                       'morningStarRiskRating', 'forwardEps', 'revenueQuarterlyGrowth', \n",
    "                       'sharesOutstanding', 'fundInceptionDate', 'annualReportExpenseRatio', \n",
    "                       'totalAssets', 'bookValue', 'sharesShort', 'sharesPercentSharesOut', \n",
    "                       'fundFamily', 'lastFiscalYearEnd', 'heldPercentInstitutions', \n",
    "                       'netIncomeToCommon', 'trailingEps', 'lastDividendValue', \n",
    "                       'SandP52WeekChange', 'priceToBook', 'heldPercentInsiders', \n",
    "                       'nextFiscalYearEnd', 'yield', 'mostRecentQuarter', 'shortRatio', \n",
    "                       'sharesShortPreviousMonthDate', 'floatShares', 'beta', 'enterpriseValue', \n",
    "                       'priceHint', 'threeYearAverageReturn', 'lastSplitDate', 'lastSplitFactor', \n",
    "                       'legalType', 'lastDividendDate', 'morningStarOverallRating', \n",
    "                       'earningsQuarterlyGrowth', 'priceToSalesTrailing12Months', 'dateShortInterest', \n",
    "                       'pegRatio', 'ytdReturn', 'forwardPE', 'lastCapGain', 'shortPercentOfFloat', \n",
    "                       'sharesShortPriorMonth', 'impliedSharesOutstanding', 'category', \n",
    "                       'fiveYearAverageReturn', 'previousClose', 'regularMarketOpen', \n",
    "                       'twoHundredDayAverage', 'trailingAnnualDividendYield', 'payoutRatio', \n",
    "                       'volume24Hr', 'regularMarketDayHigh', 'navPrice', 'averageDailyVolume10Day', \n",
    "                       'regularMarketPreviousClose', 'fiftyDayAverage', 'trailingAnnualDividendRate', \n",
    "                       'open', 'toCurrency', 'averageVolume10days', 'expireDate', 'algorithm', \n",
    "                       'dividendRate', 'exDividendDate', 'circulatingSupply', 'startDate', \n",
    "                       'regularMarketDayLow', 'currency', 'trailingPE', 'regularMarketVolume', \n",
    "                       'lastMarket', 'maxSupply', 'openInterest', 'marketCap', 'volumeAllCurrencies', \n",
    "                       'strikePrice', 'averageVolume', 'dayLow', 'ask', 'askSize', 'volume', \n",
    "                       'fiftyTwoWeekHigh', 'fromCurrency', 'fiveYearAvgDividendYield', \n",
    "                       'fiftyTwoWeekLow', 'bid', 'tradeable', 'dividendYield', 'bidSize', 'dayHigh',\n",
    "                       'coinMarketCapLink', 'regularMarketPrice', 'preMarketPrice', 'logo_url', \n",
    "                       'trailingPegRatio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fb00b8ed-2a2f-4809-8f5a-4191f09eab38",
   "metadata": {},
   "outputs": [],
   "source": [
    "# list = ('longBusinessSummary', 'previousClose', 'open', 'bid', 'ask', '52WeekChange', 'volume', 'averageVolume', 'marketCap', 'beta', 'earningsGrowth', 'dividendYield', 'dayHigh', 'dayLow', 'fiftyTwoWeekHigh', 'fiftyTwoWeekLow')\n",
    "\n",
    "\n",
    "\n",
    "list_df = fundamental_info_df[['longBusinessSummary', 'previousClose', 'open', 'bid', 'ask', '52WeekChange', 'volume', 'averageVolume', 'marketCap', 'beta', 'earningsGrowth', 'dividendYield', 'dayHigh', 'dayLow', 'fiftyTwoWeekHigh', 'fiftyTwoWeekLow']][dropdown]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "461d4e37-2996-43a5-85bd-8475cd291489",
   "metadata": {},
   "outputs": [],
   "source": [
    "list = ('info', 'actions', 'dividends', 'splits', 'financials', 'quarterly_financials', 'major_holders', 'institutional_holders', 'quarterly_balance_sheet', 'cashflow', 'quarterly_cashflow', 'earnings', 'quarterly_earnings', 'sustainability', 'recommendations', 'calendar', 'earnings_dates', 'options', 'news') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c0defdaf-d14c-4eb1-9feb-d2a0234f403f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "yfinance.Ticker object <MSFT>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ticker_info = yf.Ticker(\"MSFT\")\n",
    "ticker_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "96e07ffe-59df-4485-ae1b-4dbefeab53a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "div =  'dividends'\n",
    "div = div.strip(\"''\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "9e01cd70-247c-43e8-9530-b59eb1eb40a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2003-02-19    0.08\n",
       "2003-10-15    0.16\n",
       "2004-08-23    0.08\n",
       "2004-11-15    3.08\n",
       "2005-02-15    0.08\n",
       "              ... \n",
       "2021-05-19    0.56\n",
       "2021-08-18    0.56\n",
       "2021-11-17    0.62\n",
       "2022-02-16    0.62\n",
       "2022-05-18    0.62\n",
       "Name: Dividends, Length: 74, dtype: float64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "getattr(ticker_info,div)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "b57a962d-4417-4b4b-8b5f-9ca2a74956ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2003-02-19    0.08\n",
       "2003-10-15    0.16\n",
       "2004-08-23    0.08\n",
       "2004-11-15    3.08\n",
       "2005-02-15    0.08\n",
       "              ... \n",
       "2021-05-19    0.56\n",
       "2021-08-18    0.56\n",
       "2021-11-17    0.62\n",
       "2022-02-16    0.62\n",
       "2022-05-18    0.62\n",
       "Name: Dividends, Length: 74, dtype: float64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = ticker_info.dividends\n",
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e959f545-adb3-422d-aaae-85b37af181fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_df = fundamental_info_df[['longBusinessSummary', 'previousClose', 'open', 'bid', 'ask', '52WeekChange', 'volume', 'averageVolume', 'marketCap', 'beta', 'earningsGrowth', 'dividendYield', 'dayHigh', 'dayLow', 'fiftyTwoWeekHigh', 'fiftyTwoWeekLow']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f23b2282-c900-414c-a70d-86a2e6a606ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "be6a2137-2a19-4ab7-b0ed-a92e5024b6cf",
   "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>Holder</th>\n",
       "      <th>Shares</th>\n",
       "      <th>Date Reported</th>\n",
       "      <th>% Out</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Vanguard Group, Inc. (The)</td>\n",
       "      <td>621598157</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0833</td>\n",
       "      <td>175856336873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Blackrock Inc.</td>\n",
       "      <td>523749870</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0702</td>\n",
       "      <td>148174077639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>State Street Corporation</td>\n",
       "      <td>300098242</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0402</td>\n",
       "      <td>84900794743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FMR, LLC</td>\n",
       "      <td>210344695</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0282</td>\n",
       "      <td>59508618432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Price (T.Rowe) Associates Inc</td>\n",
       "      <td>195303799</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0262</td>\n",
       "      <td>55253398490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Geode Capital Management, LLC</td>\n",
       "      <td>133424701</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0179</td>\n",
       "      <td>37747182648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Capital World Investors</td>\n",
       "      <td>104707015</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0140</td>\n",
       "      <td>29622661997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Capital International Investors</td>\n",
       "      <td>86682397</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0116</td>\n",
       "      <td>24523317252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Northern Trust Corporation</td>\n",
       "      <td>86713343</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0116</td>\n",
       "      <td>24532072185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Capital Research Global Investors</td>\n",
       "      <td>86423951</td>\n",
       "      <td>2022-03-30</td>\n",
       "      <td>0.0116</td>\n",
       "      <td>24450200293</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Holder     Shares Date Reported   % Out  \\\n",
       "0         Vanguard Group, Inc. (The)  621598157    2022-03-30  0.0833   \n",
       "1                     Blackrock Inc.  523749870    2022-03-30  0.0702   \n",
       "2           State Street Corporation  300098242    2022-03-30  0.0402   \n",
       "3                           FMR, LLC  210344695    2022-03-30  0.0282   \n",
       "4      Price (T.Rowe) Associates Inc  195303799    2022-03-30  0.0262   \n",
       "5      Geode Capital Management, LLC  133424701    2022-03-30  0.0179   \n",
       "6            Capital World Investors  104707015    2022-03-30  0.0140   \n",
       "7    Capital International Investors   86682397    2022-03-30  0.0116   \n",
       "8         Northern Trust Corporation   86713343    2022-03-30  0.0116   \n",
       "9  Capital Research Global Investors   86423951    2022-03-30  0.0116   \n",
       "\n",
       "          Value  \n",
       "0  175856336873  \n",
       "1  148174077639  \n",
       "2   84900794743  \n",
       "3   59508618432  \n",
       "4   55253398490  \n",
       "5   37747182648  \n",
       "6   29622661997  \n",
       "7   24523317252  \n",
       "8   24532072185  \n",
       "9   24450200293  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ticker_info.institutional_holders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "770acd63-e1ca-4a79-b9fe-029391e35e79",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9cb46709-ca59-4001-b6f5-a3209d1049c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "        # Example for show analysts recommendations\n",
    "msft.recommendations\n",
    "\n",
    "\n",
    "\n",
    "in our case:\n",
    "    \n",
    "dropdown2.analysis_dropdown"
   ]
  }
 ],
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