MSFT_python_code.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas_datareader as pdr\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th>Attributes</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Symbols</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MSFT</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>41.443684</td>\n",
       "      <td>27913900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>41.062580</td>\n",
       "      <td>39673900.0</td>\n",
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       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>40.459892</td>\n",
       "      <td>36447900.0</td>\n",
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       "      <th>2015-01-07</th>\n",
       "      <td>40.973934</td>\n",
       "      <td>29114100.0</td>\n",
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       "      <th>2015-01-08</th>\n",
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       "      <td>34061900.0</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
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       "      <td>25471700.0</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
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       "      <td>43623500.0</td>\n",
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       "<p>1572 rows × 2 columns</p>\n",
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      ],
      "text/plain": [
       "Attributes   Adj Close      Volume\n",
       "Symbols           MSFT        MSFT\n",
       "Date                              \n",
       "2015-01-02   41.443684  27913900.0\n",
       "2015-01-05   41.062580  39673900.0\n",
       "2015-01-06   40.459892  36447900.0\n",
       "2015-01-07   40.973934  29114100.0\n",
       "2015-01-08   42.179317  29645200.0\n",
       "...                ...         ...\n",
       "2021-03-25  232.339996  34061900.0\n",
       "2021-03-26  236.479996  25471700.0\n",
       "2021-03-29  235.240005  25227500.0\n",
       "2021-03-30  231.850006  24792000.0\n",
       "2021-03-31  235.770004  43623500.0\n",
       "\n",
       "[1572 rows x 2 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Retrieve data\n",
    "l1=['MSFT']\n",
    "l2=['Adj Close','Volume']\n",
    "df1=pdr.get_data_yahoo(l1, start = '01-01-2015',end ='31-03-2021')[l2]\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <td>-0.013339</td>\n",
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       "<p>1572 rows × 3 columns</p>\n",
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      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return\n",
       "Symbols           MSFT        MSFT           \n",
       "Date                                         \n",
       "2015-01-02   41.443684  27913900.0        NaN\n",
       "2015-01-05   41.062580  39673900.0  -0.009238\n",
       "2015-01-06   40.459892  36447900.0  -0.014786\n",
       "2015-01-07   40.973934  29114100.0   0.012625\n",
       "2015-01-08   42.179317  29645200.0   0.028994\n",
       "...                ...         ...        ...\n",
       "2021-03-25  232.339996  34061900.0  -0.013339\n",
       "2021-03-26  236.479996  25471700.0   0.017662\n",
       "2021-03-29  235.240005  25227500.0  -0.005257\n",
       "2021-03-30  231.850006  24792000.0  -0.014516\n",
       "2021-03-31  235.770004  43623500.0   0.016766\n",
       "\n",
       "[1572 rows x 3 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['log return']=np.log(df1['Adj Close']/df1['Adj Close'].shift(1))\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
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      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return\n",
       "Symbols           MSFT        MSFT           \n",
       "Date                                         \n",
       "2015-01-05   41.062580  39673900.0  -0.009238\n",
       "2015-01-06   40.459892  36447900.0  -0.014786\n",
       "2015-01-07   40.973934  29114100.0   0.012625\n",
       "2015-01-08   42.179317  29645200.0   0.028994\n",
       "2015-01-09   41.824806  23944200.0  -0.008440\n",
       "...                ...         ...        ...\n",
       "2021-03-25  232.339996  34061900.0  -0.013339\n",
       "2021-03-26  236.479996  25471700.0   0.017662\n",
       "2021-03-29  235.240005  25227500.0  -0.005257\n",
       "2021-03-30  231.850006  24792000.0  -0.014516\n",
       "2021-03-31  235.770004  43623500.0   0.016766\n",
       "\n",
       "[1571 rows x 3 columns]"
      ]
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     "execution_count": 5,
     "metadata": {},
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   "source": [
    "df1.dropna(inplace=True)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "    <tr>\n",
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       "      <th>MSFT</th>\n",
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       "      <th>2015-01-05</th>\n",
       "      <td>41.062580</td>\n",
       "      <td>39673900.0</td>\n",
       "      <td>-0.009238</td>\n",
       "      <td>39673900.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>2015-01-06</th>\n",
       "      <td>40.459892</td>\n",
       "      <td>36447900.0</td>\n",
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       "      <th>2015-01-08</th>\n",
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       "      <td>29645200.0</td>\n",
       "      <td>0.028994</td>\n",
       "      <td>29645200.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>2015-01-09</th>\n",
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       "      <td>-0.008440</td>\n",
       "      <td>23944200.0</td>\n",
       "      <td>31765060.0</td>\n",
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       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
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       "      <th>2021-03-29</th>\n",
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       "      <th>2021-03-30</th>\n",
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       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1571 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-01-05   41.062580  39673900.0  -0.009238  39673900.0         NaN   \n",
       "2015-01-06   40.459892  36447900.0  -0.014786  36447900.0         NaN   \n",
       "2015-01-07   40.973934  29114100.0   0.012625  29114100.0         NaN   \n",
       "2015-01-08   42.179317  29645200.0   0.028994  29645200.0         NaN   \n",
       "2015-01-09   41.824806  23944200.0  -0.008440  23944200.0  31765060.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly  \n",
       "Symbols                   \n",
       "Date                      \n",
       "2015-01-05           NaN  \n",
       "2015-01-06           NaN  \n",
       "2015-01-07           NaN  \n",
       "2015-01-08           NaN  \n",
       "2015-01-09           NaN  \n",
       "...                  ...  \n",
       "2021-03-25  3.249242e+07  \n",
       "2021-03-26  3.182240e+07  \n",
       "2021-03-29  3.122317e+07  \n",
       "2021-03-30  3.119784e+07  \n",
       "2021-03-31  3.219012e+07  \n",
       "\n",
       "[1571 rows x 6 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['daily']=df1['Volume'].rolling(1).mean()\n",
    "df1['weekly']=df1['Volume'].rolling(5).mean()\n",
    "df1['monthly']=df1['Volume'].rolling(21).mean()\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>Attributes</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>log return</th>\n",
       "      <th>daily</th>\n",
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       "      <th>Symbols</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-02-03</th>\n",
       "      <td>36.870346</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>0.007722</td>\n",
       "      <td>52082400.0</td>\n",
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       "      <td>4.730894e+07</td>\n",
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       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>37.083065</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>57127980.0</td>\n",
       "      <td>4.740137e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>37.623703</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>51720560.0</td>\n",
       "      <td>4.740614e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>37.588245</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>43042900.0</td>\n",
       "      <td>4.766817e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>37.543945</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>-0.001179</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>39248620.0</td>\n",
       "      <td>4.775083e+07</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>232.339996</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>33571620.0</td>\n",
       "      <td>3.249242e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>29383820.0</td>\n",
       "      <td>3.182240e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>-0.005257</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>28403920.0</td>\n",
       "      <td>3.122317e+07</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>27034640.0</td>\n",
       "      <td>3.119784e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>1551 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-02-03   36.870346  52082400.0   0.007722  52082400.0  65706440.0   \n",
       "2015-02-04   37.083065  41614800.0   0.005753  41614800.0  57127980.0   \n",
       "2015-02-05   37.623703  36548200.0   0.014474  36548200.0  51720560.0   \n",
       "2015-02-06   37.588245  34616600.0  -0.000943  34616600.0  43042900.0   \n",
       "2015-02-09   37.543945  31381100.0  -0.001179  31381100.0  39248620.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly  \n",
       "Symbols                   \n",
       "Date                      \n",
       "2015-02-03  4.730894e+07  \n",
       "2015-02-04  4.740137e+07  \n",
       "2015-02-05  4.740614e+07  \n",
       "2015-02-06  4.766817e+07  \n",
       "2015-02-09  4.775083e+07  \n",
       "...                  ...  \n",
       "2021-03-25  3.249242e+07  \n",
       "2021-03-26  3.182240e+07  \n",
       "2021-03-29  3.122317e+07  \n",
       "2021-03-30  3.119784e+07  \n",
       "2021-03-31  3.219012e+07  \n",
       "\n",
       "[1551 rows x 6 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.dropna(inplace=True)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Volume</th>\n",
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       "    <tr>\n",
       "      <th>2015-02-03</th>\n",
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       "      <td>4.730894e+07</td>\n",
       "      <td>0.007752</td>\n",
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       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>37.083065</td>\n",
       "      <td>41614800.0</td>\n",
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       "      <td>41614800.0</td>\n",
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       "      <th>2015-02-05</th>\n",
       "      <td>37.623703</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>51720560.0</td>\n",
       "      <td>4.740614e+07</td>\n",
       "      <td>0.028343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>37.588245</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>43042900.0</td>\n",
       "      <td>4.766817e+07</td>\n",
       "      <td>0.027374</td>\n",
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       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>37.543945</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>-0.001179</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>39248620.0</td>\n",
       "      <td>4.775083e+07</td>\n",
       "      <td>0.026163</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>232.339996</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>33571620.0</td>\n",
       "      <td>3.249242e+07</td>\n",
       "      <td>5.350389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>29383820.0</td>\n",
       "      <td>3.182240e+07</td>\n",
       "      <td>5.463545</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>-0.005257</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>28403920.0</td>\n",
       "      <td>3.122317e+07</td>\n",
       "      <td>5.429653</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>27034640.0</td>\n",
       "      <td>3.119784e+07</td>\n",
       "      <td>5.336996</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
       "      <td>5.444139</td>\n",
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       "</table>\n",
       "<p>1551 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-02-03   36.870346  52082400.0   0.007722  52082400.0  65706440.0   \n",
       "2015-02-04   37.083065  41614800.0   0.005753  41614800.0  57127980.0   \n",
       "2015-02-05   37.623703  36548200.0   0.014474  36548200.0  51720560.0   \n",
       "2015-02-06   37.588245  34616600.0  -0.000943  34616600.0  43042900.0   \n",
       "2015-02-09   37.543945  31381100.0  -0.001179  31381100.0  39248620.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly return_cum  \n",
       "Symbols                              \n",
       "Date                                 \n",
       "2015-02-03  4.730894e+07   0.007752  \n",
       "2015-02-04  4.740137e+07   0.013566  \n",
       "2015-02-05  4.740614e+07   0.028343  \n",
       "2015-02-06  4.766817e+07   0.027374  \n",
       "2015-02-09  4.775083e+07   0.026163  \n",
       "...                  ...        ...  \n",
       "2021-03-25  3.249242e+07   5.350389  \n",
       "2021-03-26  3.182240e+07   5.463545  \n",
       "2021-03-29  3.122317e+07   5.429653  \n",
       "2021-03-30  3.119784e+07   5.336996  \n",
       "2021-03-31  3.219012e+07   5.444139  \n",
       "\n",
       "[1551 rows x 7 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['return_cum']=np.exp(df1['log return'].cumsum())-1\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Strategy 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Volume</th>\n",
       "      <th>log return</th>\n",
       "      <th>daily</th>\n",
       "      <th>weekly</th>\n",
       "      <th>monthly</th>\n",
       "      <th>return_cum</th>\n",
       "      <th>position1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Symbols</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MSFT</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</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>2015-02-03</th>\n",
       "      <td>36.870346</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>0.007722</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>65706440.0</td>\n",
       "      <td>4.730894e+07</td>\n",
       "      <td>0.007752</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>37.083065</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>57127980.0</td>\n",
       "      <td>4.740137e+07</td>\n",
       "      <td>0.013566</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>37.623703</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>51720560.0</td>\n",
       "      <td>4.740614e+07</td>\n",
       "      <td>0.028343</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>37.588245</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>43042900.0</td>\n",
       "      <td>4.766817e+07</td>\n",
       "      <td>0.027374</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>37.543945</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>-0.001179</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>39248620.0</td>\n",
       "      <td>4.775083e+07</td>\n",
       "      <td>0.026163</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>232.339996</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>33571620.0</td>\n",
       "      <td>3.249242e+07</td>\n",
       "      <td>5.350389</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>29383820.0</td>\n",
       "      <td>3.182240e+07</td>\n",
       "      <td>5.463545</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>-0.005257</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>28403920.0</td>\n",
       "      <td>3.122317e+07</td>\n",
       "      <td>5.429653</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>27034640.0</td>\n",
       "      <td>3.119784e+07</td>\n",
       "      <td>5.336996</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
       "      <td>5.444139</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1551 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-02-03   36.870346  52082400.0   0.007722  52082400.0  65706440.0   \n",
       "2015-02-04   37.083065  41614800.0   0.005753  41614800.0  57127980.0   \n",
       "2015-02-05   37.623703  36548200.0   0.014474  36548200.0  51720560.0   \n",
       "2015-02-06   37.588245  34616600.0  -0.000943  34616600.0  43042900.0   \n",
       "2015-02-09   37.543945  31381100.0  -0.001179  31381100.0  39248620.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly return_cum position1  \n",
       "Symbols                                        \n",
       "Date                                           \n",
       "2015-02-03  4.730894e+07   0.007752        -1  \n",
       "2015-02-04  4.740137e+07   0.013566        -1  \n",
       "2015-02-05  4.740614e+07   0.028343        -1  \n",
       "2015-02-06  4.766817e+07   0.027374        -1  \n",
       "2015-02-09  4.775083e+07   0.026163        -1  \n",
       "...                  ...        ...       ...  \n",
       "2021-03-25  3.249242e+07   5.350389         1  \n",
       "2021-03-26  3.182240e+07   5.463545        -1  \n",
       "2021-03-29  3.122317e+07   5.429653        -1  \n",
       "2021-03-30  3.119784e+07   5.336996        -1  \n",
       "2021-03-31  3.219012e+07   5.444139         1  \n",
       "\n",
       "[1551 rows x 8 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['position1']=np.where(df1['daily']>df1['weekly'], 1 , -1)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>Attributes</th>\n",
       "      <th>Adj Close</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-02-03</th>\n",
       "      <td>36.870346</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>0.007722</td>\n",
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       "      <td>0.007752</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>37.083065</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>57127980.0</td>\n",
       "      <td>4.740137e+07</td>\n",
       "      <td>0.013566</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.005753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>37.623703</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>51720560.0</td>\n",
       "      <td>4.740614e+07</td>\n",
       "      <td>0.028343</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
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       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>37.588245</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>43042900.0</td>\n",
       "      <td>4.766817e+07</td>\n",
       "      <td>0.027374</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>37.543945</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>-0.001179</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>39248620.0</td>\n",
       "      <td>4.775083e+07</td>\n",
       "      <td>0.026163</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
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       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>232.339996</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
       "      <td>34061900.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0.013339</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>29383820.0</td>\n",
       "      <td>3.182240e+07</td>\n",
       "      <td>5.463545</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>-0.005257</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>28403920.0</td>\n",
       "      <td>3.122317e+07</td>\n",
       "      <td>5.429653</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>24792000.0</td>\n",
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       "      <td>3.119784e+07</td>\n",
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       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
       "      <td>5.444139</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
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       "<p>1551 rows × 9 columns</p>\n",
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      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-02-03   36.870346  52082400.0   0.007722  52082400.0  65706440.0   \n",
       "2015-02-04   37.083065  41614800.0   0.005753  41614800.0  57127980.0   \n",
       "2015-02-05   37.623703  36548200.0   0.014474  36548200.0  51720560.0   \n",
       "2015-02-06   37.588245  34616600.0  -0.000943  34616600.0  43042900.0   \n",
       "2015-02-09   37.543945  31381100.0  -0.001179  31381100.0  39248620.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly return_cum position1 strategy1  \n",
       "Symbols                                                  \n",
       "Date                                                     \n",
       "2015-02-03  4.730894e+07   0.007752        -1       NaN  \n",
       "2015-02-04  4.740137e+07   0.013566        -1 -0.005753  \n",
       "2015-02-05  4.740614e+07   0.028343        -1 -0.014474  \n",
       "2015-02-06  4.766817e+07   0.027374        -1  0.000943  \n",
       "2015-02-09  4.775083e+07   0.026163        -1  0.001179  \n",
       "...                  ...        ...       ...       ...  \n",
       "2021-03-25  3.249242e+07   5.350389         1  0.013339  \n",
       "2021-03-26  3.182240e+07   5.463545        -1  0.017662  \n",
       "2021-03-29  3.122317e+07   5.429653        -1  0.005257  \n",
       "2021-03-30  3.119784e+07   5.336996        -1  0.014516  \n",
       "2021-03-31  3.219012e+07   5.444139         1 -0.016766  \n",
       "\n",
       "[1551 rows x 9 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['strategy1'] = df1['position1'].shift(1) * df1['log return']\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Strategy 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <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>2015-02-03</th>\n",
       "      <td>36.870346</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>0.007722</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>65706440.0</td>\n",
       "      <td>4.730894e+07</td>\n",
       "      <td>0.007752</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>37.083065</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>57127980.0</td>\n",
       "      <td>4.740137e+07</td>\n",
       "      <td>0.013566</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.005753</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>37.623703</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>51720560.0</td>\n",
       "      <td>4.740614e+07</td>\n",
       "      <td>0.028343</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>37.588245</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>43042900.0</td>\n",
       "      <td>4.766817e+07</td>\n",
       "      <td>0.027374</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>37.543945</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>-0.001179</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>39248620.0</td>\n",
       "      <td>4.775083e+07</td>\n",
       "      <td>0.026163</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>232.339996</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>33571620.0</td>\n",
       "      <td>3.249242e+07</td>\n",
       "      <td>5.350389</td>\n",
       "      <td>1</td>\n",
       "      <td>0.013339</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>29383820.0</td>\n",
       "      <td>3.182240e+07</td>\n",
       "      <td>5.463545</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>-0.005257</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>28403920.0</td>\n",
       "      <td>3.122317e+07</td>\n",
       "      <td>5.429653</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>27034640.0</td>\n",
       "      <td>3.119784e+07</td>\n",
       "      <td>5.336996</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
       "      <td>5.444139</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1551 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-02-03   36.870346  52082400.0   0.007722  52082400.0  65706440.0   \n",
       "2015-02-04   37.083065  41614800.0   0.005753  41614800.0  57127980.0   \n",
       "2015-02-05   37.623703  36548200.0   0.014474  36548200.0  51720560.0   \n",
       "2015-02-06   37.588245  34616600.0  -0.000943  34616600.0  43042900.0   \n",
       "2015-02-09   37.543945  31381100.0  -0.001179  31381100.0  39248620.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly return_cum position1 strategy1 position2  \n",
       "Symbols                                                            \n",
       "Date                                                               \n",
       "2015-02-03  4.730894e+07   0.007752        -1       NaN         1  \n",
       "2015-02-04  4.740137e+07   0.013566        -1 -0.005753        -1  \n",
       "2015-02-05  4.740614e+07   0.028343        -1 -0.014474        -1  \n",
       "2015-02-06  4.766817e+07   0.027374        -1  0.000943        -1  \n",
       "2015-02-09  4.775083e+07   0.026163        -1  0.001179        -1  \n",
       "...                  ...        ...       ...       ...       ...  \n",
       "2021-03-25  3.249242e+07   5.350389         1  0.013339         1  \n",
       "2021-03-26  3.182240e+07   5.463545        -1  0.017662        -1  \n",
       "2021-03-29  3.122317e+07   5.429653        -1  0.005257        -1  \n",
       "2021-03-30  3.119784e+07   5.336996        -1  0.014516        -1  \n",
       "2021-03-31  3.219012e+07   5.444139         1 -0.016766         1  \n",
       "\n",
       "[1551 rows x 10 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['position2']=np.where(df1['daily']>df1['monthly'], 1 , -1)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Attributes</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>log return</th>\n",
       "      <th>daily</th>\n",
       "      <th>weekly</th>\n",
       "      <th>monthly</th>\n",
       "      <th>return_cum</th>\n",
       "      <th>position1</th>\n",
       "      <th>strategy1</th>\n",
       "      <th>position2</th>\n",
       "      <th>strategy2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Symbols</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MSFT</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",
       "    <tr>\n",
       "      <th>Date</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>2015-02-03</th>\n",
       "      <td>36.870346</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>0.007722</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>65706440.0</td>\n",
       "      <td>4.730894e+07</td>\n",
       "      <td>0.007752</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>37.083065</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>57127980.0</td>\n",
       "      <td>4.740137e+07</td>\n",
       "      <td>0.013566</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.005753</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>37.623703</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>51720560.0</td>\n",
       "      <td>4.740614e+07</td>\n",
       "      <td>0.028343</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>37.588245</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>43042900.0</td>\n",
       "      <td>4.766817e+07</td>\n",
       "      <td>0.027374</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>37.543945</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>-0.001179</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>39248620.0</td>\n",
       "      <td>4.775083e+07</td>\n",
       "      <td>0.026163</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>232.339996</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>33571620.0</td>\n",
       "      <td>3.249242e+07</td>\n",
       "      <td>5.350389</td>\n",
       "      <td>1</td>\n",
       "      <td>0.013339</td>\n",
       "      <td>1</td>\n",
       "      <td>0.013339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>29383820.0</td>\n",
       "      <td>3.182240e+07</td>\n",
       "      <td>5.463545</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>-0.005257</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>28403920.0</td>\n",
       "      <td>3.122317e+07</td>\n",
       "      <td>5.429653</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>27034640.0</td>\n",
       "      <td>3.119784e+07</td>\n",
       "      <td>5.336996</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
       "      <td>5.444139</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1551 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-02-03   36.870346  52082400.0   0.007722  52082400.0  65706440.0   \n",
       "2015-02-04   37.083065  41614800.0   0.005753  41614800.0  57127980.0   \n",
       "2015-02-05   37.623703  36548200.0   0.014474  36548200.0  51720560.0   \n",
       "2015-02-06   37.588245  34616600.0  -0.000943  34616600.0  43042900.0   \n",
       "2015-02-09   37.543945  31381100.0  -0.001179  31381100.0  39248620.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly return_cum position1 strategy1 position2 strategy2  \n",
       "Symbols                                                                      \n",
       "Date                                                                         \n",
       "2015-02-03  4.730894e+07   0.007752        -1       NaN         1       NaN  \n",
       "2015-02-04  4.740137e+07   0.013566        -1 -0.005753        -1  0.005753  \n",
       "2015-02-05  4.740614e+07   0.028343        -1 -0.014474        -1 -0.014474  \n",
       "2015-02-06  4.766817e+07   0.027374        -1  0.000943        -1  0.000943  \n",
       "2015-02-09  4.775083e+07   0.026163        -1  0.001179        -1  0.001179  \n",
       "...                  ...        ...       ...       ...       ...       ...  \n",
       "2021-03-25  3.249242e+07   5.350389         1  0.013339         1  0.013339  \n",
       "2021-03-26  3.182240e+07   5.463545        -1  0.017662        -1  0.017662  \n",
       "2021-03-29  3.122317e+07   5.429653        -1  0.005257        -1  0.005257  \n",
       "2021-03-30  3.119784e+07   5.336996        -1  0.014516        -1  0.014516  \n",
       "2021-03-31  3.219012e+07   5.444139         1 -0.016766         1 -0.016766  \n",
       "\n",
       "[1551 rows x 11 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['strategy2'] = df1['position2'].shift(1) * df1['log return']\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Strategy 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Attributes</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>log return</th>\n",
       "      <th>daily</th>\n",
       "      <th>weekly</th>\n",
       "      <th>monthly</th>\n",
       "      <th>return_cum</th>\n",
       "      <th>position1</th>\n",
       "      <th>strategy1</th>\n",
       "      <th>position2</th>\n",
       "      <th>strategy2</th>\n",
       "      <th>position3</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Symbols</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MSFT</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",
       "    <tr>\n",
       "      <th>Date</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>2015-02-03</th>\n",
       "      <td>36.870346</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>0.007722</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>65706440.0</td>\n",
       "      <td>4.730894e+07</td>\n",
       "      <td>0.007752</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>37.083065</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>57127980.0</td>\n",
       "      <td>4.740137e+07</td>\n",
       "      <td>0.013566</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.005753</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>37.623703</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>51720560.0</td>\n",
       "      <td>4.740614e+07</td>\n",
       "      <td>0.028343</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>37.588245</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>43042900.0</td>\n",
       "      <td>4.766817e+07</td>\n",
       "      <td>0.027374</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>37.543945</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>-0.001179</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>39248620.0</td>\n",
       "      <td>4.775083e+07</td>\n",
       "      <td>0.026163</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>232.339996</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>33571620.0</td>\n",
       "      <td>3.249242e+07</td>\n",
       "      <td>5.350389</td>\n",
       "      <td>1</td>\n",
       "      <td>0.013339</td>\n",
       "      <td>1</td>\n",
       "      <td>0.013339</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>29383820.0</td>\n",
       "      <td>3.182240e+07</td>\n",
       "      <td>5.463545</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>-0.005257</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>28403920.0</td>\n",
       "      <td>3.122317e+07</td>\n",
       "      <td>5.429653</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>27034640.0</td>\n",
       "      <td>3.119784e+07</td>\n",
       "      <td>5.336996</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
       "      <td>5.444139</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1551 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-02-03   36.870346  52082400.0   0.007722  52082400.0  65706440.0   \n",
       "2015-02-04   37.083065  41614800.0   0.005753  41614800.0  57127980.0   \n",
       "2015-02-05   37.623703  36548200.0   0.014474  36548200.0  51720560.0   \n",
       "2015-02-06   37.588245  34616600.0  -0.000943  34616600.0  43042900.0   \n",
       "2015-02-09   37.543945  31381100.0  -0.001179  31381100.0  39248620.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly return_cum position1 strategy1 position2 strategy2  \\\n",
       "Symbols                                                                       \n",
       "Date                                                                          \n",
       "2015-02-03  4.730894e+07   0.007752        -1       NaN         1       NaN   \n",
       "2015-02-04  4.740137e+07   0.013566        -1 -0.005753        -1  0.005753   \n",
       "2015-02-05  4.740614e+07   0.028343        -1 -0.014474        -1 -0.014474   \n",
       "2015-02-06  4.766817e+07   0.027374        -1  0.000943        -1  0.000943   \n",
       "2015-02-09  4.775083e+07   0.026163        -1  0.001179        -1  0.001179   \n",
       "...                  ...        ...       ...       ...       ...       ...   \n",
       "2021-03-25  3.249242e+07   5.350389         1  0.013339         1  0.013339   \n",
       "2021-03-26  3.182240e+07   5.463545        -1  0.017662        -1  0.017662   \n",
       "2021-03-29  3.122317e+07   5.429653        -1  0.005257        -1  0.005257   \n",
       "2021-03-30  3.119784e+07   5.336996        -1  0.014516        -1  0.014516   \n",
       "2021-03-31  3.219012e+07   5.444139         1 -0.016766         1 -0.016766   \n",
       "\n",
       "Attributes position3  \n",
       "Symbols               \n",
       "Date                  \n",
       "2015-02-03         1  \n",
       "2015-02-04         1  \n",
       "2015-02-05         1  \n",
       "2015-02-06        -1  \n",
       "2015-02-09        -1  \n",
       "...              ...  \n",
       "2021-03-25         1  \n",
       "2021-03-26        -1  \n",
       "2021-03-29        -1  \n",
       "2021-03-30        -1  \n",
       "2021-03-31        -1  \n",
       "\n",
       "[1551 rows x 12 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['position3']=np.where(df1['weekly']>df1['monthly'], 1 , -1)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th>Attributes</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>log return</th>\n",
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       "      <th>Symbols</th>\n",
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       "      <th>Date</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-02-03</th>\n",
       "      <td>36.870346</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>0.007722</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>65706440.0</td>\n",
       "      <td>4.730894e+07</td>\n",
       "      <td>0.007752</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>37.083065</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>57127980.0</td>\n",
       "      <td>4.740137e+07</td>\n",
       "      <td>0.013566</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.005753</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>1</td>\n",
       "      <td>0.005753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>37.623703</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>51720560.0</td>\n",
       "      <td>4.740614e+07</td>\n",
       "      <td>0.028343</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
       "      <td>1</td>\n",
       "      <td>0.014474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>37.588245</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>43042900.0</td>\n",
       "      <td>4.766817e+07</td>\n",
       "      <td>0.027374</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.000943</td>\n",
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       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>37.543945</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>-0.001179</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>39248620.0</td>\n",
       "      <td>4.775083e+07</td>\n",
       "      <td>0.026163</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>232.339996</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>-0.013339</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>29383820.0</td>\n",
       "      <td>3.182240e+07</td>\n",
       "      <td>5.463545</td>\n",
       "      <td>-1</td>\n",
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       "      <td>-1</td>\n",
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       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
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       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>-0.005257</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>28403920.0</td>\n",
       "      <td>3.122317e+07</td>\n",
       "      <td>5.429653</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>27034640.0</td>\n",
       "      <td>3.119784e+07</td>\n",
       "      <td>5.336996</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
       "      <td>5.444139</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.016766</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1551 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-02-03   36.870346  52082400.0   0.007722  52082400.0  65706440.0   \n",
       "2015-02-04   37.083065  41614800.0   0.005753  41614800.0  57127980.0   \n",
       "2015-02-05   37.623703  36548200.0   0.014474  36548200.0  51720560.0   \n",
       "2015-02-06   37.588245  34616600.0  -0.000943  34616600.0  43042900.0   \n",
       "2015-02-09   37.543945  31381100.0  -0.001179  31381100.0  39248620.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly return_cum position1 strategy1 position2 strategy2  \\\n",
       "Symbols                                                                       \n",
       "Date                                                                          \n",
       "2015-02-03  4.730894e+07   0.007752        -1       NaN         1       NaN   \n",
       "2015-02-04  4.740137e+07   0.013566        -1 -0.005753        -1  0.005753   \n",
       "2015-02-05  4.740614e+07   0.028343        -1 -0.014474        -1 -0.014474   \n",
       "2015-02-06  4.766817e+07   0.027374        -1  0.000943        -1  0.000943   \n",
       "2015-02-09  4.775083e+07   0.026163        -1  0.001179        -1  0.001179   \n",
       "...                  ...        ...       ...       ...       ...       ...   \n",
       "2021-03-25  3.249242e+07   5.350389         1  0.013339         1  0.013339   \n",
       "2021-03-26  3.182240e+07   5.463545        -1  0.017662        -1  0.017662   \n",
       "2021-03-29  3.122317e+07   5.429653        -1  0.005257        -1  0.005257   \n",
       "2021-03-30  3.119784e+07   5.336996        -1  0.014516        -1  0.014516   \n",
       "2021-03-31  3.219012e+07   5.444139         1 -0.016766         1 -0.016766   \n",
       "\n",
       "Attributes position3 strategy3  \n",
       "Symbols                         \n",
       "Date                            \n",
       "2015-02-03         1       NaN  \n",
       "2015-02-04         1  0.005753  \n",
       "2015-02-05         1  0.014474  \n",
       "2015-02-06        -1 -0.000943  \n",
       "2015-02-09        -1  0.001179  \n",
       "...              ...       ...  \n",
       "2021-03-25         1 -0.013339  \n",
       "2021-03-26        -1  0.017662  \n",
       "2021-03-29        -1  0.005257  \n",
       "2021-03-30        -1  0.014516  \n",
       "2021-03-31        -1 -0.016766  \n",
       "\n",
       "[1551 rows x 13 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['strategy3'] = df1['position3'].shift(1) * df1['log return']\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Attributes</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>log return</th>\n",
       "      <th>daily</th>\n",
       "      <th>weekly</th>\n",
       "      <th>monthly</th>\n",
       "      <th>return_cum</th>\n",
       "      <th>position1</th>\n",
       "      <th>strategy1</th>\n",
       "      <th>position2</th>\n",
       "      <th>strategy2</th>\n",
       "      <th>position3</th>\n",
       "      <th>strategy3</th>\n",
       "      <th>strategy1_cum</th>\n",
       "      <th>strategy2_cum</th>\n",
       "      <th>strategy3_cum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Symbols</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MSFT</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</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>2015-02-03</th>\n",
       "      <td>36.870346</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>0.007722</td>\n",
       "      <td>52082400.0</td>\n",
       "      <td>65706440.0</td>\n",
       "      <td>4.730894e+07</td>\n",
       "      <td>0.007752</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-04</th>\n",
       "      <td>37.083065</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>41614800.0</td>\n",
       "      <td>57127980.0</td>\n",
       "      <td>4.740137e+07</td>\n",
       "      <td>0.013566</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.005753</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>1</td>\n",
       "      <td>0.005753</td>\n",
       "      <td>-0.005736</td>\n",
       "      <td>0.005769</td>\n",
       "      <td>0.005769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-05</th>\n",
       "      <td>37.623703</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>36548200.0</td>\n",
       "      <td>51720560.0</td>\n",
       "      <td>4.740614e+07</td>\n",
       "      <td>0.028343</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.014474</td>\n",
       "      <td>1</td>\n",
       "      <td>0.014474</td>\n",
       "      <td>-0.020023</td>\n",
       "      <td>-0.008683</td>\n",
       "      <td>0.020433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-06</th>\n",
       "      <td>37.588245</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>34616600.0</td>\n",
       "      <td>43042900.0</td>\n",
       "      <td>4.766817e+07</td>\n",
       "      <td>0.027374</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.000943</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.000943</td>\n",
       "      <td>-0.019099</td>\n",
       "      <td>-0.007748</td>\n",
       "      <td>0.019471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-09</th>\n",
       "      <td>37.543945</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>-0.001179</td>\n",
       "      <td>31381100.0</td>\n",
       "      <td>39248620.0</td>\n",
       "      <td>4.775083e+07</td>\n",
       "      <td>0.026163</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.001179</td>\n",
       "      <td>-0.017942</td>\n",
       "      <td>-0.006577</td>\n",
       "      <td>0.020674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>232.339996</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>-0.013339</td>\n",
       "      <td>34061900.0</td>\n",
       "      <td>33571620.0</td>\n",
       "      <td>3.249242e+07</td>\n",
       "      <td>5.350389</td>\n",
       "      <td>1</td>\n",
       "      <td>0.013339</td>\n",
       "      <td>1</td>\n",
       "      <td>0.013339</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.013339</td>\n",
       "      <td>0.563949</td>\n",
       "      <td>-0.034836</td>\n",
       "      <td>-0.502775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>236.479996</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>25471700.0</td>\n",
       "      <td>29383820.0</td>\n",
       "      <td>3.182240e+07</td>\n",
       "      <td>5.463545</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.017662</td>\n",
       "      <td>0.591816</td>\n",
       "      <td>-0.017638</td>\n",
       "      <td>-0.493915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>235.240005</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>-0.005257</td>\n",
       "      <td>25227500.0</td>\n",
       "      <td>28403920.0</td>\n",
       "      <td>3.122317e+07</td>\n",
       "      <td>5.429653</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.005257</td>\n",
       "      <td>0.600207</td>\n",
       "      <td>-0.012460</td>\n",
       "      <td>-0.491247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>231.850006</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>24792000.0</td>\n",
       "      <td>27034640.0</td>\n",
       "      <td>3.119784e+07</td>\n",
       "      <td>5.336996</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>0.623604</td>\n",
       "      <td>0.001979</td>\n",
       "      <td>-0.483808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>235.770004</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>0.016766</td>\n",
       "      <td>43623500.0</td>\n",
       "      <td>30635320.0</td>\n",
       "      <td>3.219012e+07</td>\n",
       "      <td>5.444139</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.016766</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.016766</td>\n",
       "      <td>0.596610</td>\n",
       "      <td>-0.014680</td>\n",
       "      <td>-0.492391</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1551 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Attributes   Adj Close      Volume log return       daily      weekly  \\\n",
       "Symbols           MSFT        MSFT                                      \n",
       "Date                                                                    \n",
       "2015-02-03   36.870346  52082400.0   0.007722  52082400.0  65706440.0   \n",
       "2015-02-04   37.083065  41614800.0   0.005753  41614800.0  57127980.0   \n",
       "2015-02-05   37.623703  36548200.0   0.014474  36548200.0  51720560.0   \n",
       "2015-02-06   37.588245  34616600.0  -0.000943  34616600.0  43042900.0   \n",
       "2015-02-09   37.543945  31381100.0  -0.001179  31381100.0  39248620.0   \n",
       "...                ...         ...        ...         ...         ...   \n",
       "2021-03-25  232.339996  34061900.0  -0.013339  34061900.0  33571620.0   \n",
       "2021-03-26  236.479996  25471700.0   0.017662  25471700.0  29383820.0   \n",
       "2021-03-29  235.240005  25227500.0  -0.005257  25227500.0  28403920.0   \n",
       "2021-03-30  231.850006  24792000.0  -0.014516  24792000.0  27034640.0   \n",
       "2021-03-31  235.770004  43623500.0   0.016766  43623500.0  30635320.0   \n",
       "\n",
       "Attributes       monthly return_cum position1 strategy1 position2 strategy2  \\\n",
       "Symbols                                                                       \n",
       "Date                                                                          \n",
       "2015-02-03  4.730894e+07   0.007752        -1       NaN         1       NaN   \n",
       "2015-02-04  4.740137e+07   0.013566        -1 -0.005753        -1  0.005753   \n",
       "2015-02-05  4.740614e+07   0.028343        -1 -0.014474        -1 -0.014474   \n",
       "2015-02-06  4.766817e+07   0.027374        -1  0.000943        -1  0.000943   \n",
       "2015-02-09  4.775083e+07   0.026163        -1  0.001179        -1  0.001179   \n",
       "...                  ...        ...       ...       ...       ...       ...   \n",
       "2021-03-25  3.249242e+07   5.350389         1  0.013339         1  0.013339   \n",
       "2021-03-26  3.182240e+07   5.463545        -1  0.017662        -1  0.017662   \n",
       "2021-03-29  3.122317e+07   5.429653        -1  0.005257        -1  0.005257   \n",
       "2021-03-30  3.119784e+07   5.336996        -1  0.014516        -1  0.014516   \n",
       "2021-03-31  3.219012e+07   5.444139         1 -0.016766         1 -0.016766   \n",
       "\n",
       "Attributes position3 strategy3 strategy1_cum strategy2_cum strategy3_cum  \n",
       "Symbols                                                                   \n",
       "Date                                                                      \n",
       "2015-02-03         1       NaN           NaN           NaN           NaN  \n",
       "2015-02-04         1  0.005753     -0.005736      0.005769      0.005769  \n",
       "2015-02-05         1  0.014474     -0.020023     -0.008683      0.020433  \n",
       "2015-02-06        -1 -0.000943     -0.019099     -0.007748      0.019471  \n",
       "2015-02-09        -1  0.001179     -0.017942     -0.006577      0.020674  \n",
       "...              ...       ...           ...           ...           ...  \n",
       "2021-03-25         1 -0.013339      0.563949     -0.034836     -0.502775  \n",
       "2021-03-26        -1  0.017662      0.591816     -0.017638     -0.493915  \n",
       "2021-03-29        -1  0.005257      0.600207     -0.012460     -0.491247  \n",
       "2021-03-30        -1  0.014516      0.623604      0.001979     -0.483808  \n",
       "2021-03-31        -1 -0.016766      0.596610     -0.014680     -0.492391  \n",
       "\n",
       "[1551 rows x 16 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['strategy1_cum']=np.exp(df1['strategy1'].cumsum())-1\n",
    "df1['strategy2_cum']=np.exp(df1['strategy2'].cumsum())-1\n",
    "df1['strategy3_cum']=np.exp(df1['strategy3'].cumsum())-1\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1[['return_cum', 'strategy1_cum','strategy2_cum','strategy3_cum']].plot(figsize=(20, 10))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def strategy(ticker,n1,n2,n3):\n",
    "    df = pdr.get_data_yahoo(ticker, start='2018-01-01',end='2021-03-31')[['Adj Close','Volume']]\n",
    "    df['return'] = np.log(df['Adj Close'] / df['Adj Close'].shift(1))\n",
    "    df['mv1'] = df['Volume'].rolling(n1).mean()\n",
    "    df['mv2'] = df['Volume'].rolling(n2).mean()\n",
    "    df['mv3'] = df['Volume'].rolling(n3).mean()\n",
    "    df.dropna(inplace=True)\n",
    "    df['position'] = np.where(df['mv1'] > df['mv2'], 1 , -1)\n",
    "    df['position1'] = np.where(df['mv2'] > df['mv3'], 1 , -1)\n",
    "    df['position2'] = np.where(df['mv1'] > df['mv3'], 1 , -1)\n",
    "    df['strategy1'] = df['position'].shift(1) * df['return']\n",
    "    df['strategy2'] = df['position1'].shift(1) * df['return']\n",
    "    df['strategy3'] = df['position2'].shift(1) * df['return']\n",
    "    df[['return','strategy1','strategy2','strategy3']].cumsum().apply(np.exp).sub(1).plot(figsize=(20, 10))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "strategy('GME',1,5,21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "strategy('DOGE-USD',1,5,21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "strategy('AMC',1,5,21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "strategy('TSLA',1,5,21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}