{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Libraries Installation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install yfinance -q\n",
    "!pip install pandas -q\n",
    "!pip install numpy -q\n",
    "!pip install matplotlib -q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup portfolio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "buy_orders = {\n",
    "    \"VALE3.SA\": 1400,\n",
    "    \"WEGE3.SA\": 1300,\n",
    "    \"BPAC11.SA\": 1100,\n",
    "    \"KNRI11.SA\": 1000,\n",
    "    \"SMAL11.SA\": 800,\n",
    "    \"AAPL34.SA\": 700,\n",
    "    \"IVVB11.SA\": 500,\n",
    "    \"PETR4.SA\": 1000,\n",
    "    \"COCA34.SA\": 1000,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "assets = list(buy_orders.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['VALE3.SA',\n",
       " 'WEGE3.SA',\n",
       " 'BPAC11.SA',\n",
       " 'KNRI11.SA',\n",
       " 'SMAL11.SA',\n",
       " 'AAPL34.SA',\n",
       " 'IVVB11.SA',\n",
       " 'PETR4.SA',\n",
       " 'COCA34.SA']"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_invested = sum(buy_orders.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8800"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_invested"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import financial assets data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "start = \"2020-01-01\"\n",
    "\n",
    "assets_history_price = yf.download(assets, start=start, progress=False)[\"Adj Close\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dummy portfolio simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AAPL34.SA     14.815145\n",
       "BPAC11.SA     17.714905\n",
       "COCA34.SA     34.120262\n",
       "IVVB11.SA    140.600006\n",
       "KNRI11.SA    178.510574\n",
       "PETR4.SA      12.180102\n",
       "SMAL11.SA    139.500000\n",
       "VALE3.SA      39.578941\n",
       "WEGE3.SA      16.768709\n",
       "Name: 2020-01-02 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_line = assets_history_price.iloc[0]\n",
    "first_line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "buy_orders_df = pd.Series(data = buy_orders, index=assets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "number_of_shares = round(buy_orders_df / first_line, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "net_worth = assets_history_price * number_of_shares"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "net_worth[\"Total net worth\"] = net_worth.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL34.SA</th>\n",
       "      <th>BPAC11.SA</th>\n",
       "      <th>COCA34.SA</th>\n",
       "      <th>IVVB11.SA</th>\n",
       "      <th>KNRI11.SA</th>\n",
       "      <th>PETR4.SA</th>\n",
       "      <th>SMAL11.SA</th>\n",
       "      <th>VALE3.SA</th>\n",
       "      <th>WEGE3.SA</th>\n",
       "      <th>Total net worth</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>696.311793</td>\n",
       "      <td>1098.324097</td>\n",
       "      <td>989.487602</td>\n",
       "      <td>562.400024</td>\n",
       "      <td>1071.063446</td>\n",
       "      <td>998.768393</td>\n",
       "      <td>837.000000</td>\n",
       "      <td>1385.262947</td>\n",
       "      <td>1307.959316</td>\n",
       "      <td>8946.577619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>697.689195</td>\n",
       "      <td>1101.511440</td>\n",
       "      <td>975.998394</td>\n",
       "      <td>562.799988</td>\n",
       "      <td>1071.063446</td>\n",
       "      <td>990.635223</td>\n",
       "      <td>845.399963</td>\n",
       "      <td>1375.064182</td>\n",
       "      <td>1291.256996</td>\n",
       "      <td>8911.418828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>701.132250</td>\n",
       "      <td>1099.917828</td>\n",
       "      <td>978.863392</td>\n",
       "      <td>564.799988</td>\n",
       "      <td>1062.370239</td>\n",
       "      <td>1002.347118</td>\n",
       "      <td>834.600037</td>\n",
       "      <td>1366.905117</td>\n",
       "      <td>1294.597252</td>\n",
       "      <td>8905.533220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07</th>\n",
       "      <td>702.853845</td>\n",
       "      <td>1104.306175</td>\n",
       "      <td>978.863392</td>\n",
       "      <td>565.200012</td>\n",
       "      <td>1066.501923</td>\n",
       "      <td>998.443075</td>\n",
       "      <td>836.399963</td>\n",
       "      <td>1376.848869</td>\n",
       "      <td>1304.618465</td>\n",
       "      <td>8934.035720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-08</th>\n",
       "      <td>708.764479</td>\n",
       "      <td>1094.519222</td>\n",
       "      <td>978.378849</td>\n",
       "      <td>566.200012</td>\n",
       "      <td>1006.133972</td>\n",
       "      <td>992.261967</td>\n",
       "      <td>829.199982</td>\n",
       "      <td>1377.103748</td>\n",
       "      <td>1255.254627</td>\n",
       "      <td>8807.816858</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>2023-08-02</th>\n",
       "      <td>2173.280079</td>\n",
       "      <td>2059.019943</td>\n",
       "      <td>1445.940018</td>\n",
       "      <td>960.799988</td>\n",
       "      <td>962.399963</td>\n",
       "      <td>2503.460056</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>2348.149872</td>\n",
       "      <td>3122.339905</td>\n",
       "      <td>16253.389824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-03</th>\n",
       "      <td>2201.949928</td>\n",
       "      <td>2070.179962</td>\n",
       "      <td>1457.830013</td>\n",
       "      <td>979.000000</td>\n",
       "      <td>971.100037</td>\n",
       "      <td>2535.440006</td>\n",
       "      <td>677.880020</td>\n",
       "      <td>2362.850075</td>\n",
       "      <td>3153.540024</td>\n",
       "      <td>16409.770065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-04</th>\n",
       "      <td>2086.800072</td>\n",
       "      <td>2042.900047</td>\n",
       "      <td>1423.320053</td>\n",
       "      <td>966.799988</td>\n",
       "      <td>972.120026</td>\n",
       "      <td>2460.000000</td>\n",
       "      <td>683.099991</td>\n",
       "      <td>2364.599915</td>\n",
       "      <td>3186.299881</td>\n",
       "      <td>16185.939972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>979.960022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>680.400009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1660.360031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-08</th>\n",
       "      <td>2061.420029</td>\n",
       "      <td>2055.919991</td>\n",
       "      <td>1438.690018</td>\n",
       "      <td>972.119995</td>\n",
       "      <td>985.019989</td>\n",
       "      <td>2487.059994</td>\n",
       "      <td>679.679993</td>\n",
       "      <td>2357.600021</td>\n",
       "      <td>3156.660095</td>\n",
       "      <td>16194.170124</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>896 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              AAPL34.SA    BPAC11.SA    COCA34.SA   IVVB11.SA    KNRI11.SA  \\\n",
       "Date                                                                         \n",
       "2020-01-02   696.311793  1098.324097   989.487602  562.400024  1071.063446   \n",
       "2020-01-03   697.689195  1101.511440   975.998394  562.799988  1071.063446   \n",
       "2020-01-06   701.132250  1099.917828   978.863392  564.799988  1062.370239   \n",
       "2020-01-07   702.853845  1104.306175   978.863392  565.200012  1066.501923   \n",
       "2020-01-08   708.764479  1094.519222   978.378849  566.200012  1006.133972   \n",
       "...                 ...          ...          ...         ...          ...   \n",
       "2023-08-02  2173.280079  2059.019943  1445.940018  960.799988   962.399963   \n",
       "2023-08-03  2201.949928  2070.179962  1457.830013  979.000000   971.100037   \n",
       "2023-08-04  2086.800072  2042.900047  1423.320053  966.799988   972.120026   \n",
       "2023-08-07          NaN          NaN          NaN  979.960022          NaN   \n",
       "2023-08-08  2061.420029  2055.919991  1438.690018  972.119995   985.019989   \n",
       "\n",
       "               PETR4.SA   SMAL11.SA     VALE3.SA     WEGE3.SA  Total net worth  \n",
       "Date                                                                            \n",
       "2020-01-02   998.768393  837.000000  1385.262947  1307.959316      8946.577619  \n",
       "2020-01-03   990.635223  845.399963  1375.064182  1291.256996      8911.418828  \n",
       "2020-01-06  1002.347118  834.600037  1366.905117  1294.597252      8905.533220  \n",
       "2020-01-07   998.443075  836.399963  1376.848869  1304.618465      8934.035720  \n",
       "2020-01-08   992.261967  829.199982  1377.103748  1255.254627      8807.816858  \n",
       "...                 ...         ...          ...          ...              ...  \n",
       "2023-08-02  2503.460056  678.000000  2348.149872  3122.339905     16253.389824  \n",
       "2023-08-03  2535.440006  677.880020  2362.850075  3153.540024     16409.770065  \n",
       "2023-08-04  2460.000000  683.099991  2364.599915  3186.299881     16185.939972  \n",
       "2023-08-07          NaN  680.400009          NaN          NaN      1660.360031  \n",
       "2023-08-08  2487.059994  679.679993  2357.600021  3156.660095     16194.170124  \n",
       "\n",
       "[896 rows x 10 columns]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net_worth"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparison with IBOV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "ibov = yf.download(\"^BVSP\", start=start, progress=False)[\"Adj Close\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "ibov_df = pd.DataFrame(ibov)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "ibov_df.rename(columns={\"Adj Close\": \"IBOV\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "comparison = pd.merge(ibov_df, net_worth, how = \"inner\", on = \"Date\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>IBOV</th>\n",
       "      <th>AAPL34.SA</th>\n",
       "      <th>BPAC11.SA</th>\n",
       "      <th>COCA34.SA</th>\n",
       "      <th>IVVB11.SA</th>\n",
       "      <th>KNRI11.SA</th>\n",
       "      <th>PETR4.SA</th>\n",
       "      <th>SMAL11.SA</th>\n",
       "      <th>VALE3.SA</th>\n",
       "      <th>WEGE3.SA</th>\n",
       "      <th>Total net worth</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>2020-01-02</th>\n",
       "      <td>118573.000000</td>\n",
       "      <td>696.311793</td>\n",
       "      <td>1098.324097</td>\n",
       "      <td>989.487602</td>\n",
       "      <td>562.400024</td>\n",
       "      <td>1071.063446</td>\n",
       "      <td>998.768393</td>\n",
       "      <td>837.000000</td>\n",
       "      <td>1385.262947</td>\n",
       "      <td>1307.959316</td>\n",
       "      <td>8946.577619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>117707.000000</td>\n",
       "      <td>697.689195</td>\n",
       "      <td>1101.511440</td>\n",
       "      <td>975.998394</td>\n",
       "      <td>562.799988</td>\n",
       "      <td>1071.063446</td>\n",
       "      <td>990.635223</td>\n",
       "      <td>845.399963</td>\n",
       "      <td>1375.064182</td>\n",
       "      <td>1291.256996</td>\n",
       "      <td>8911.418828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>116878.000000</td>\n",
       "      <td>701.132250</td>\n",
       "      <td>1099.917828</td>\n",
       "      <td>978.863392</td>\n",
       "      <td>564.799988</td>\n",
       "      <td>1062.370239</td>\n",
       "      <td>1002.347118</td>\n",
       "      <td>834.600037</td>\n",
       "      <td>1366.905117</td>\n",
       "      <td>1294.597252</td>\n",
       "      <td>8905.533220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07</th>\n",
       "      <td>116662.000000</td>\n",
       "      <td>702.853845</td>\n",
       "      <td>1104.306175</td>\n",
       "      <td>978.863392</td>\n",
       "      <td>565.200012</td>\n",
       "      <td>1066.501923</td>\n",
       "      <td>998.443075</td>\n",
       "      <td>836.399963</td>\n",
       "      <td>1376.848869</td>\n",
       "      <td>1304.618465</td>\n",
       "      <td>8934.035720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-08</th>\n",
       "      <td>116247.000000</td>\n",
       "      <td>708.764479</td>\n",
       "      <td>1094.519222</td>\n",
       "      <td>978.378849</td>\n",
       "      <td>566.200012</td>\n",
       "      <td>1006.133972</td>\n",
       "      <td>992.261967</td>\n",
       "      <td>829.199982</td>\n",
       "      <td>1377.103748</td>\n",
       "      <td>1255.254627</td>\n",
       "      <td>8807.816858</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>2023-08-01</th>\n",
       "      <td>121248.000000</td>\n",
       "      <td>2201.949928</td>\n",
       "      <td>2095.599953</td>\n",
       "      <td>1429.699978</td>\n",
       "      <td>970.599976</td>\n",
       "      <td>968.339996</td>\n",
       "      <td>2509.200031</td>\n",
       "      <td>678.539978</td>\n",
       "      <td>2386.999893</td>\n",
       "      <td>3109.080048</td>\n",
       "      <td>16350.009781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-02</th>\n",
       "      <td>120859.000000</td>\n",
       "      <td>2173.280079</td>\n",
       "      <td>2059.019943</td>\n",
       "      <td>1445.940018</td>\n",
       "      <td>960.799988</td>\n",
       "      <td>962.399963</td>\n",
       "      <td>2503.460056</td>\n",
       "      <td>678.000000</td>\n",
       "      <td>2348.149872</td>\n",
       "      <td>3122.339905</td>\n",
       "      <td>16253.389824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-03</th>\n",
       "      <td>120586.000000</td>\n",
       "      <td>2201.949928</td>\n",
       "      <td>2070.179962</td>\n",
       "      <td>1457.830013</td>\n",
       "      <td>979.000000</td>\n",
       "      <td>971.100037</td>\n",
       "      <td>2535.440006</td>\n",
       "      <td>677.880020</td>\n",
       "      <td>2362.850075</td>\n",
       "      <td>3153.540024</td>\n",
       "      <td>16409.770065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-04</th>\n",
       "      <td>119508.000000</td>\n",
       "      <td>2086.800072</td>\n",
       "      <td>2042.900047</td>\n",
       "      <td>1423.320053</td>\n",
       "      <td>966.799988</td>\n",
       "      <td>972.120026</td>\n",
       "      <td>2460.000000</td>\n",
       "      <td>683.099991</td>\n",
       "      <td>2364.599915</td>\n",
       "      <td>3186.299881</td>\n",
       "      <td>16185.939972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-08</th>\n",
       "      <td>119163.382812</td>\n",
       "      <td>2061.420029</td>\n",
       "      <td>2055.919991</td>\n",
       "      <td>1438.690018</td>\n",
       "      <td>972.119995</td>\n",
       "      <td>985.019989</td>\n",
       "      <td>2487.059994</td>\n",
       "      <td>679.679993</td>\n",
       "      <td>2357.600021</td>\n",
       "      <td>3156.660095</td>\n",
       "      <td>16194.170124</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>894 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     IBOV    AAPL34.SA    BPAC11.SA    COCA34.SA   IVVB11.SA  \\\n",
       "Date                                                                           \n",
       "2020-01-02  118573.000000   696.311793  1098.324097   989.487602  562.400024   \n",
       "2020-01-03  117707.000000   697.689195  1101.511440   975.998394  562.799988   \n",
       "2020-01-06  116878.000000   701.132250  1099.917828   978.863392  564.799988   \n",
       "2020-01-07  116662.000000   702.853845  1104.306175   978.863392  565.200012   \n",
       "2020-01-08  116247.000000   708.764479  1094.519222   978.378849  566.200012   \n",
       "...                   ...          ...          ...          ...         ...   \n",
       "2023-08-01  121248.000000  2201.949928  2095.599953  1429.699978  970.599976   \n",
       "2023-08-02  120859.000000  2173.280079  2059.019943  1445.940018  960.799988   \n",
       "2023-08-03  120586.000000  2201.949928  2070.179962  1457.830013  979.000000   \n",
       "2023-08-04  119508.000000  2086.800072  2042.900047  1423.320053  966.799988   \n",
       "2023-08-08  119163.382812  2061.420029  2055.919991  1438.690018  972.119995   \n",
       "\n",
       "              KNRI11.SA     PETR4.SA   SMAL11.SA     VALE3.SA     WEGE3.SA  \\\n",
       "Date                                                                         \n",
       "2020-01-02  1071.063446   998.768393  837.000000  1385.262947  1307.959316   \n",
       "2020-01-03  1071.063446   990.635223  845.399963  1375.064182  1291.256996   \n",
       "2020-01-06  1062.370239  1002.347118  834.600037  1366.905117  1294.597252   \n",
       "2020-01-07  1066.501923   998.443075  836.399963  1376.848869  1304.618465   \n",
       "2020-01-08  1006.133972   992.261967  829.199982  1377.103748  1255.254627   \n",
       "...                 ...          ...         ...          ...          ...   \n",
       "2023-08-01   968.339996  2509.200031  678.539978  2386.999893  3109.080048   \n",
       "2023-08-02   962.399963  2503.460056  678.000000  2348.149872  3122.339905   \n",
       "2023-08-03   971.100037  2535.440006  677.880020  2362.850075  3153.540024   \n",
       "2023-08-04   972.120026  2460.000000  683.099991  2364.599915  3186.299881   \n",
       "2023-08-08   985.019989  2487.059994  679.679993  2357.600021  3156.660095   \n",
       "\n",
       "            Total net worth  \n",
       "Date                         \n",
       "2020-01-02      8946.577619  \n",
       "2020-01-03      8911.418828  \n",
       "2020-01-06      8905.533220  \n",
       "2020-01-07      8934.035720  \n",
       "2020-01-08      8807.816858  \n",
       "...                     ...  \n",
       "2023-08-01     16350.009781  \n",
       "2023-08-02     16253.389824  \n",
       "2023-08-03     16409.770065  \n",
       "2023-08-04     16185.939972  \n",
       "2023-08-08     16194.170124  \n",
       "\n",
       "[894 rows x 11 columns]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data normalization (data scaling)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "comparison = comparison.dropna()\n",
    "comparison_scaling = comparison / comparison.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>IBOV</th>\n",
       "      <th>AAPL34.SA</th>\n",
       "      <th>BPAC11.SA</th>\n",
       "      <th>COCA34.SA</th>\n",
       "      <th>IVVB11.SA</th>\n",
       "      <th>KNRI11.SA</th>\n",
       "      <th>PETR4.SA</th>\n",
       "      <th>SMAL11.SA</th>\n",
       "      <th>VALE3.SA</th>\n",
       "      <th>WEGE3.SA</th>\n",
       "      <th>Total net worth</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>2020-01-02</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>0.992696</td>\n",
       "      <td>1.001978</td>\n",
       "      <td>1.002902</td>\n",
       "      <td>0.986367</td>\n",
       "      <td>1.000711</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.991857</td>\n",
       "      <td>1.010036</td>\n",
       "      <td>0.992638</td>\n",
       "      <td>0.987230</td>\n",
       "      <td>0.996070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>0.985705</td>\n",
       "      <td>1.006923</td>\n",
       "      <td>1.001451</td>\n",
       "      <td>0.989263</td>\n",
       "      <td>1.004267</td>\n",
       "      <td>0.991884</td>\n",
       "      <td>1.003583</td>\n",
       "      <td>0.997133</td>\n",
       "      <td>0.986748</td>\n",
       "      <td>0.989784</td>\n",
       "      <td>0.995412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07</th>\n",
       "      <td>0.983883</td>\n",
       "      <td>1.009395</td>\n",
       "      <td>1.005447</td>\n",
       "      <td>0.989263</td>\n",
       "      <td>1.004979</td>\n",
       "      <td>0.995741</td>\n",
       "      <td>0.999674</td>\n",
       "      <td>0.999283</td>\n",
       "      <td>0.993926</td>\n",
       "      <td>0.997446</td>\n",
       "      <td>0.998598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-08</th>\n",
       "      <td>0.980383</td>\n",
       "      <td>1.017884</td>\n",
       "      <td>0.996536</td>\n",
       "      <td>0.988773</td>\n",
       "      <td>1.006757</td>\n",
       "      <td>0.939378</td>\n",
       "      <td>0.993486</td>\n",
       "      <td>0.990681</td>\n",
       "      <td>0.994110</td>\n",
       "      <td>0.959705</td>\n",
       "      <td>0.984490</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>2023-08-01</th>\n",
       "      <td>1.022560</td>\n",
       "      <td>3.162305</td>\n",
       "      <td>1.907998</td>\n",
       "      <td>1.444889</td>\n",
       "      <td>1.725818</td>\n",
       "      <td>0.904092</td>\n",
       "      <td>2.512294</td>\n",
       "      <td>0.810681</td>\n",
       "      <td>1.723138</td>\n",
       "      <td>2.377046</td>\n",
       "      <td>1.827516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-02</th>\n",
       "      <td>1.019279</td>\n",
       "      <td>3.121131</td>\n",
       "      <td>1.874692</td>\n",
       "      <td>1.461302</td>\n",
       "      <td>1.708393</td>\n",
       "      <td>0.898546</td>\n",
       "      <td>2.506547</td>\n",
       "      <td>0.810036</td>\n",
       "      <td>1.695093</td>\n",
       "      <td>2.387184</td>\n",
       "      <td>1.816716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-03</th>\n",
       "      <td>1.016977</td>\n",
       "      <td>3.162305</td>\n",
       "      <td>1.884853</td>\n",
       "      <td>1.473318</td>\n",
       "      <td>1.740754</td>\n",
       "      <td>0.906669</td>\n",
       "      <td>2.538567</td>\n",
       "      <td>0.809892</td>\n",
       "      <td>1.705705</td>\n",
       "      <td>2.411038</td>\n",
       "      <td>1.834195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-04</th>\n",
       "      <td>1.007885</td>\n",
       "      <td>2.996933</td>\n",
       "      <td>1.860016</td>\n",
       "      <td>1.438442</td>\n",
       "      <td>1.719061</td>\n",
       "      <td>0.907621</td>\n",
       "      <td>2.463033</td>\n",
       "      <td>0.816129</td>\n",
       "      <td>1.706968</td>\n",
       "      <td>2.436085</td>\n",
       "      <td>1.809177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-08</th>\n",
       "      <td>1.004979</td>\n",
       "      <td>2.960484</td>\n",
       "      <td>1.871870</td>\n",
       "      <td>1.453975</td>\n",
       "      <td>1.728521</td>\n",
       "      <td>0.919665</td>\n",
       "      <td>2.490127</td>\n",
       "      <td>0.812043</td>\n",
       "      <td>1.701915</td>\n",
       "      <td>2.413424</td>\n",
       "      <td>1.810097</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>894 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                IBOV  AAPL34.SA  BPAC11.SA  COCA34.SA  IVVB11.SA  KNRI11.SA  \\\n",
       "Date                                                                          \n",
       "2020-01-02  1.000000   1.000000   1.000000   1.000000   1.000000   1.000000   \n",
       "2020-01-03  0.992696   1.001978   1.002902   0.986367   1.000711   1.000000   \n",
       "2020-01-06  0.985705   1.006923   1.001451   0.989263   1.004267   0.991884   \n",
       "2020-01-07  0.983883   1.009395   1.005447   0.989263   1.004979   0.995741   \n",
       "2020-01-08  0.980383   1.017884   0.996536   0.988773   1.006757   0.939378   \n",
       "...              ...        ...        ...        ...        ...        ...   \n",
       "2023-08-01  1.022560   3.162305   1.907998   1.444889   1.725818   0.904092   \n",
       "2023-08-02  1.019279   3.121131   1.874692   1.461302   1.708393   0.898546   \n",
       "2023-08-03  1.016977   3.162305   1.884853   1.473318   1.740754   0.906669   \n",
       "2023-08-04  1.007885   2.996933   1.860016   1.438442   1.719061   0.907621   \n",
       "2023-08-08  1.004979   2.960484   1.871870   1.453975   1.728521   0.919665   \n",
       "\n",
       "            PETR4.SA  SMAL11.SA  VALE3.SA  WEGE3.SA  Total net worth  \n",
       "Date                                                                  \n",
       "2020-01-02  1.000000   1.000000  1.000000  1.000000         1.000000  \n",
       "2020-01-03  0.991857   1.010036  0.992638  0.987230         0.996070  \n",
       "2020-01-06  1.003583   0.997133  0.986748  0.989784         0.995412  \n",
       "2020-01-07  0.999674   0.999283  0.993926  0.997446         0.998598  \n",
       "2020-01-08  0.993486   0.990681  0.994110  0.959705         0.984490  \n",
       "...              ...        ...       ...       ...              ...  \n",
       "2023-08-01  2.512294   0.810681  1.723138  2.377046         1.827516  \n",
       "2023-08-02  2.506547   0.810036  1.695093  2.387184         1.816716  \n",
       "2023-08-03  2.538567   0.809892  1.705705  2.411038         1.834195  \n",
       "2023-08-04  2.463033   0.816129  1.706968  2.436085         1.809177  \n",
       "2023-08-08  2.490127   0.812043  1.701915  2.413424         1.810097  \n",
       "\n",
       "[894 rows x 11 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comparison_scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comparison_scaling.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comparison_scaling[[\"IBOV\", \"Total net worth\"]].plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "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": "3.10.11"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}