Get and Analyse stocks prices and health indicators. To get the CSV, go to https://www.fundamentus.com.br/resultado.php?setor= and copy the table.

Fundamentus - Automação.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('fundamentus_2020_10_19-01_10_34.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def select_filters(df, filters):\n",
    "    df = df[filters]\n",
    "    tickers = [f'{p}.SA' for p in df['Papel']]\n",
    "    carteira = yf.download(tickers=tickers, period='5y')['Adj Close']\n",
    "    ibov = yf.download('^BVSP', period='5y')['Adj Close']\n",
    "    ibov_normalizado = (ibov / ibov.iloc[0]) * 10000 * len(carteira.columns)\n",
    "    carteira_normalizada = (carteira / carteira.iloc[0]) * 10000\n",
    "    carteira_normalizada['saldo'] = carteira_normalizada.sum(axis=1)\n",
    "    fig, ax = plt.subplots(figsize=(18,6))\n",
    "    ibov_normalizado.plot(ax=ax, label='IBOV')\n",
    "    carteira_normalizada['saldo'].plot(ax=ax, label='Minha Carteira')\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  13 of 13 completed\n",
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>Papel</th>\n",
       "      <th>Cotação</th>\n",
       "      <th>P/L</th>\n",
       "      <th>P/VP</th>\n",
       "      <th>PSR</th>\n",
       "      <th>Div.Yield</th>\n",
       "      <th>P/Ativo</th>\n",
       "      <th>P/Cap.Giro</th>\n",
       "      <th>P/EBIT</th>\n",
       "      <th>P/Ativ Circ.Liq</th>\n",
       "      <th>...</th>\n",
       "      <th>EV/EBITDA</th>\n",
       "      <th>Mrg Ebit</th>\n",
       "      <th>Mrg. Líq.</th>\n",
       "      <th>Liq. Corr.</th>\n",
       "      <th>ROIC</th>\n",
       "      <th>ROE</th>\n",
       "      <th>Liq.2meses</th>\n",
       "      <th>Patrim. Líq</th>\n",
       "      <th>Dív.Brut/ Patrim.</th>\n",
       "      <th>Cresc. Rec.5a</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>ITSA4</td>\n",
       "      <td>9.07</td>\n",
       "      <td>10.90</td>\n",
       "      <td>1.44</td>\n",
       "      <td>15.251</td>\n",
       "      <td>0.0606</td>\n",
       "      <td>1.159</td>\n",
       "      <td>19.44</td>\n",
       "      <td>431.00</td>\n",
       "      <td>-24.42</td>\n",
       "      <td>...</td>\n",
       "      <td>89.64</td>\n",
       "      <td>0.0354</td>\n",
       "      <td>1.4426</td>\n",
       "      <td>2.36</td>\n",
       "      <td>0.0029</td>\n",
       "      <td>0.1324</td>\n",
       "      <td>2.490770e+08</td>\n",
       "      <td>5.289600e+10</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.0142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>SULA11</td>\n",
       "      <td>39.98</td>\n",
       "      <td>12.35</td>\n",
       "      <td>2.10</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.0305</td>\n",
       "      <td>0.553</td>\n",
       "      <td>1.61</td>\n",
       "      <td>12.77</td>\n",
       "      <td>-21.57</td>\n",
       "      <td>...</td>\n",
       "      <td>2.11</td>\n",
       "      <td>0.0575</td>\n",
       "      <td>0.0595</td>\n",
       "      <td>1.93</td>\n",
       "      <td>0.0921</td>\n",
       "      <td>0.1704</td>\n",
       "      <td>1.077520e+08</td>\n",
       "      <td>7.490030e+09</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.0838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>CMIG4</td>\n",
       "      <td>10.91</td>\n",
       "      <td>13.78</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.678</td>\n",
       "      <td>0.0534</td>\n",
       "      <td>0.315</td>\n",
       "      <td>3.24</td>\n",
       "      <td>4.73</td>\n",
       "      <td>-0.77</td>\n",
       "      <td>...</td>\n",
       "      <td>6.48</td>\n",
       "      <td>0.1431</td>\n",
       "      <td>0.0492</td>\n",
       "      <td>1.56</td>\n",
       "      <td>0.0743</td>\n",
       "      <td>0.0713</td>\n",
       "      <td>1.198870e+08</td>\n",
       "      <td>1.687260e+10</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.0734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>678</th>\n",
       "      <td>SBSP3</td>\n",
       "      <td>45.15</td>\n",
       "      <td>15.54</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.661</td>\n",
       "      <td>0.0305</td>\n",
       "      <td>0.633</td>\n",
       "      <td>-44.10</td>\n",
       "      <td>5.26</td>\n",
       "      <td>-1.44</td>\n",
       "      <td>...</td>\n",
       "      <td>5.63</td>\n",
       "      <td>0.3158</td>\n",
       "      <td>0.1069</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.1305</td>\n",
       "      <td>0.0934</td>\n",
       "      <td>2.023110e+08</td>\n",
       "      <td>2.127500e+10</td>\n",
       "      <td>0.77</td>\n",
       "      <td>0.0892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>HYPE3</td>\n",
       "      <td>30.44</td>\n",
       "      <td>16.90</td>\n",
       "      <td>2.13</td>\n",
       "      <td>5.069</td>\n",
       "      <td>0.0292</td>\n",
       "      <td>1.233</td>\n",
       "      <td>3.20</td>\n",
       "      <td>22.33</td>\n",
       "      <td>12.85</td>\n",
       "      <td>...</td>\n",
       "      <td>19.20</td>\n",
       "      <td>0.2270</td>\n",
       "      <td>0.2999</td>\n",
       "      <td>3.93</td>\n",
       "      <td>0.0844</td>\n",
       "      <td>0.1260</td>\n",
       "      <td>1.062130e+08</td>\n",
       "      <td>9.055200e+09</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.1143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>700</th>\n",
       "      <td>CSAN3</td>\n",
       "      <td>68.58</td>\n",
       "      <td>17.56</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.082</td>\n",
       "      <td>0.0218</td>\n",
       "      <td>0.766</td>\n",
       "      <td>4.83</td>\n",
       "      <td>14.12</td>\n",
       "      <td>-2.11</td>\n",
       "      <td>...</td>\n",
       "      <td>15.42</td>\n",
       "      <td>0.1475</td>\n",
       "      <td>0.1193</td>\n",
       "      <td>1.97</td>\n",
       "      <td>0.0666</td>\n",
       "      <td>0.1470</td>\n",
       "      <td>1.366180e+08</td>\n",
       "      <td>1.047340e+10</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.1534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>744</th>\n",
       "      <td>ABEV3</td>\n",
       "      <td>13.27</td>\n",
       "      <td>23.42</td>\n",
       "      <td>2.82</td>\n",
       "      <td>4.013</td>\n",
       "      <td>0.0370</td>\n",
       "      <td>1.720</td>\n",
       "      <td>29.71</td>\n",
       "      <td>15.78</td>\n",
       "      <td>-21.77</td>\n",
       "      <td>...</td>\n",
       "      <td>10.95</td>\n",
       "      <td>0.2542</td>\n",
       "      <td>0.1788</td>\n",
       "      <td>1.24</td>\n",
       "      <td>0.1463</td>\n",
       "      <td>0.1206</td>\n",
       "      <td>3.460320e+08</td>\n",
       "      <td>7.392280e+10</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.0305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>748</th>\n",
       "      <td>QUAL3</td>\n",
       "      <td>32.15</td>\n",
       "      <td>23.89</td>\n",
       "      <td>5.57</td>\n",
       "      <td>4.509</td>\n",
       "      <td>0.1137</td>\n",
       "      <td>2.565</td>\n",
       "      <td>12.75</td>\n",
       "      <td>12.00</td>\n",
       "      <td>-12.29</td>\n",
       "      <td>...</td>\n",
       "      <td>8.38</td>\n",
       "      <td>0.3757</td>\n",
       "      <td>0.1892</td>\n",
       "      <td>2.55</td>\n",
       "      <td>0.3044</td>\n",
       "      <td>0.2330</td>\n",
       "      <td>1.423920e+08</td>\n",
       "      <td>1.640420e+09</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>CYRE3</td>\n",
       "      <td>25.68</td>\n",
       "      <td>29.39</td>\n",
       "      <td>2.11</td>\n",
       "      <td>2.722</td>\n",
       "      <td>0.0505</td>\n",
       "      <td>0.941</td>\n",
       "      <td>3.03</td>\n",
       "      <td>24.31</td>\n",
       "      <td>37.95</td>\n",
       "      <td>...</td>\n",
       "      <td>25.62</td>\n",
       "      <td>0.1120</td>\n",
       "      <td>0.1251</td>\n",
       "      <td>2.36</td>\n",
       "      <td>0.0461</td>\n",
       "      <td>0.0719</td>\n",
       "      <td>1.880150e+08</td>\n",
       "      <td>4.857670e+09</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.0325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>CCRO3</td>\n",
       "      <td>13.19</td>\n",
       "      <td>30.26</td>\n",
       "      <td>3.24</td>\n",
       "      <td>2.584</td>\n",
       "      <td>0.0718</td>\n",
       "      <td>0.763</td>\n",
       "      <td>32.36</td>\n",
       "      <td>9.61</td>\n",
       "      <td>-1.45</td>\n",
       "      <td>...</td>\n",
       "      <td>8.37</td>\n",
       "      <td>0.2688</td>\n",
       "      <td>0.0791</td>\n",
       "      <td>1.11</td>\n",
       "      <td>0.0982</td>\n",
       "      <td>0.1069</td>\n",
       "      <td>1.192600e+08</td>\n",
       "      <td>8.233370e+09</td>\n",
       "      <td>2.52</td>\n",
       "      <td>0.0203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784</th>\n",
       "      <td>B3SA3</td>\n",
       "      <td>54.34</td>\n",
       "      <td>33.19</td>\n",
       "      <td>4.38</td>\n",
       "      <td>14.741</td>\n",
       "      <td>0.0355</td>\n",
       "      <td>2.532</td>\n",
       "      <td>26.17</td>\n",
       "      <td>26.29</td>\n",
       "      <td>-32.02</td>\n",
       "      <td>...</td>\n",
       "      <td>19.82</td>\n",
       "      <td>0.5608</td>\n",
       "      <td>0.4439</td>\n",
       "      <td>1.39</td>\n",
       "      <td>0.1419</td>\n",
       "      <td>0.1320</td>\n",
       "      <td>7.150430e+08</td>\n",
       "      <td>2.554560e+10</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.3569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>828</th>\n",
       "      <td>VALE3</td>\n",
       "      <td>62.24</td>\n",
       "      <td>51.33</td>\n",
       "      <td>1.76</td>\n",
       "      <td>2.145</td>\n",
       "      <td>0.0614</td>\n",
       "      <td>0.722</td>\n",
       "      <td>6.56</td>\n",
       "      <td>5.19</td>\n",
       "      <td>-2.01</td>\n",
       "      <td>...</td>\n",
       "      <td>4.59</td>\n",
       "      <td>0.4135</td>\n",
       "      <td>0.0247</td>\n",
       "      <td>1.82</td>\n",
       "      <td>0.1701</td>\n",
       "      <td>0.0343</td>\n",
       "      <td>1.603090e+09</td>\n",
       "      <td>1.869590e+11</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.1497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891</th>\n",
       "      <td>JBSS3</td>\n",
       "      <td>23.20</td>\n",
       "      <td>259.49</td>\n",
       "      <td>1.72</td>\n",
       "      <td>0.265</td>\n",
       "      <td>0.0238</td>\n",
       "      <td>0.382</td>\n",
       "      <td>2.23</td>\n",
       "      <td>3.31</td>\n",
       "      <td>-1.03</td>\n",
       "      <td>...</td>\n",
       "      <td>4.54</td>\n",
       "      <td>0.0800</td>\n",
       "      <td>0.0018</td>\n",
       "      <td>1.80</td>\n",
       "      <td>0.1557</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>4.105500e+08</td>\n",
       "      <td>3.601180e+10</td>\n",
       "      <td>2.14</td>\n",
       "      <td>0.0739</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Papel  Cotação     P/L  P/VP     PSR  Div.Yield  P/Ativo  P/Cap.Giro  \\\n",
       "592   ITSA4     9.07   10.90  1.44  15.251     0.0606    1.159       19.44   \n",
       "625  SULA11    39.98   12.35  2.10   0.735     0.0305    0.553        1.61   \n",
       "647   CMIG4    10.91   13.78  0.98   0.678     0.0534    0.315        3.24   \n",
       "678   SBSP3    45.15   15.54  1.45   1.661     0.0305    0.633      -44.10   \n",
       "695   HYPE3    30.44   16.90  2.13   5.069     0.0292    1.233        3.20   \n",
       "700   CSAN3    68.58   17.56  2.58   2.082     0.0218    0.766        4.83   \n",
       "744   ABEV3    13.27   23.42  2.82   4.013     0.0370    1.720       29.71   \n",
       "748   QUAL3    32.15   23.89  5.57   4.509     0.1137    2.565       12.75   \n",
       "775   CYRE3    25.68   29.39  2.11   2.722     0.0505    0.941        3.03   \n",
       "778   CCRO3    13.19   30.26  3.24   2.584     0.0718    0.763       32.36   \n",
       "784   B3SA3    54.34   33.19  4.38  14.741     0.0355    2.532       26.17   \n",
       "828   VALE3    62.24   51.33  1.76   2.145     0.0614    0.722        6.56   \n",
       "891   JBSS3    23.20  259.49  1.72   0.265     0.0238    0.382        2.23   \n",
       "\n",
       "     P/EBIT  P/Ativ Circ.Liq  ...  EV/EBITDA  Mrg Ebit  Mrg. Líq.  Liq. Corr.  \\\n",
       "592  431.00           -24.42  ...      89.64    0.0354     1.4426        2.36   \n",
       "625   12.77           -21.57  ...       2.11    0.0575     0.0595        1.93   \n",
       "647    4.73            -0.77  ...       6.48    0.1431     0.0492        1.56   \n",
       "678    5.26            -1.44  ...       5.63    0.3158     0.1069        0.90   \n",
       "695   22.33            12.85  ...      19.20    0.2270     0.2999        3.93   \n",
       "700   14.12            -2.11  ...      15.42    0.1475     0.1193        1.97   \n",
       "744   15.78           -21.77  ...      10.95    0.2542     0.1788        1.24   \n",
       "748   12.00           -12.29  ...       8.38    0.3757     0.1892        2.55   \n",
       "775   24.31            37.95  ...      25.62    0.1120     0.1251        2.36   \n",
       "778    9.61            -1.45  ...       8.37    0.2688     0.0791        1.11   \n",
       "784   26.29           -32.02  ...      19.82    0.5608     0.4439        1.39   \n",
       "828    5.19            -2.01  ...       4.59    0.4135     0.0247        1.82   \n",
       "891    3.31            -1.03  ...       4.54    0.0800     0.0018        1.80   \n",
       "\n",
       "       ROIC     ROE    Liq.2meses   Patrim. Líq  Dív.Brut/ Patrim.  \\\n",
       "592  0.0029  0.1324  2.490770e+08  5.289600e+10               0.09   \n",
       "625  0.0921  0.1704  1.077520e+08  7.490030e+09               0.29   \n",
       "647  0.0743  0.0713  1.198870e+08  1.687260e+10               0.94   \n",
       "678  0.1305  0.0934  2.023110e+08  2.127500e+10               0.77   \n",
       "695  0.0844  0.1260  1.062130e+08  9.055200e+09               0.53   \n",
       "700  0.0666  0.1470  1.366180e+08  1.047340e+10               1.55   \n",
       "744  0.1463  0.1206  3.460320e+08  7.392280e+10               0.09   \n",
       "748  0.3044  0.2330  1.423920e+08  1.640420e+09               0.81   \n",
       "775  0.0461  0.0719  1.880150e+08  4.857670e+09               0.60   \n",
       "778  0.0982  0.1069  1.192600e+08  8.233370e+09               2.52   \n",
       "784  0.1419  0.1320  7.150430e+08  2.554560e+10               0.26   \n",
       "828  0.1701  0.0343  1.603090e+09  1.869590e+11               0.54   \n",
       "891  0.1557  0.0066  4.105500e+08  3.601180e+10               2.14   \n",
       "\n",
       "     Cresc. Rec.5a  \n",
       "592         0.0142  \n",
       "625         0.0838  \n",
       "647         0.0734  \n",
       "678         0.0892  \n",
       "695         0.1143  \n",
       "700         0.1534  \n",
       "744         0.0305  \n",
       "748         0.0121  \n",
       "775         0.0325  \n",
       "778         0.0203  \n",
       "784         0.3569  \n",
       "828         0.1497  \n",
       "891         0.0739  \n",
       "\n",
       "[13 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "select_filters(\n",
    "    df,\n",
    "    (df['Liq.2meses'] > 0.1e9) & \n",
    "    (df['Div.Yield'] > 0.02) &\n",
    "    (df['P/L'] > 0.0) &\n",
    "    (df['ROIC'] > 0.0) &\n",
    "    (df['ROE'] > 0.0) &\n",
    "    (df['Mrg. Líq.'] > 0.0) &\n",
    "    (df['Cresc. Rec.5a'] > 0.0) \n",
    ")"
   ]
  }
 ],
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fundamentus_2020_10_19-01_10_34.csv