Aulão_Fundamentalista_09_10_2022.ipynb

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      "provenance": [],
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
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    {
      "cell_type": "markdown",
      "source": [
        "<img src=\"https://tradingcomdados.com/images/logotipo/logotipo-trading-com-dados.svg\" width=\"300\" align=\"left\"/>"
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)"
      ],
      "metadata": {
        "id": "G1TPCyHiZ9Eg"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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+qEt7NhYY7JYDxfKiFAHEAYjH4bch1Fj3BmrNk2i8wQiDKNRVr8R2XAIEJTLCCqHQTUyFWT1YvpG/e973/vqGk+CTvC7cEwEQZaTYBuxNSFxgwZhk3nZfffdy2c/+9k6TRTCcJAdGQDTe25KJzcy3IyujJ4BIycuM0k2GS0ByXPRD4EyffPITzqgHLpo2YP7Say33Geffeo633ZvCz2xHIERo0MyGgbEvYFHg36AfmibLA+DaUZAnY3x6ZE6ZXMEfdqhPd/61reqPppynRj9D4OBoJvMu9+DjLLRgnCw6eTIMiCyIRjheAUKbDqZpyNkV8BBR+hKPxxjn4MPPrj+pSN0EW3wLgtv7T+5tEae3soWqls7+BsBeJPnXpTJx9HftmSA79AmA/IWFNEXekOH6JI1ynQJ42uLJQ/9ZhJCmFyQbQNu8ZE4h9+S4W5+y1JVfkugLtgm8+w9WR+fX+hChsWJ1umbMbCfTxt4KFMCTDKt128p16CXz6T7fIwklwF+v0RR81u97eOL1NPo+i163vxWty1ix9YW9zTok351TstMlkCfQRR0vPvd764jH9Oypop8dBAjLePvmaembU3FWr9JqBw3MY5eAORGQQaRAAhYZG0sJ+iF4yAIn/vc58pb3vKWsvPOO9dAq4v6ZYusK7Xcx4Uk8IwzITSFvO+++1aht66S8wlhOBgz06FkXfBi6UK7Qch0pGdxH3LIIVWe3OjjN7L7XPRDdkGgLMhQZ8uMyLgIMFp59LDdHNiMLfbee++6BOnjH/94HUD3M17qp79ujjRlaupXoCX4UH9jfHrkd1lZjsLgQ3sMfgT7DHeY/iAvEkJkj0xxogJlCKrdC8NWy0aS3UMPPbQ6etk1a/wlXPbYY48qhwaRAoF+0C1ySg5lD7tBSNMFQcN///d/V/k2QBZcywA2eZYFbfLcT0cMJuivtdCWRyjDcWS+3dcF/kgwb2bYbKC1zm5I1zZt0b5+bZEBDWFK0vwWGW5+qz2QQeKq+S2zde5DE/zLgtvHmnk6LKimi/Stn57QA3pv4C7A9n+XpkcSV/So67cc2/yWwNvyIUkC8WA/mt/SPv6o2742owf6Sc/5W35XMsr5dttiOU+3Lf1mD6d1JuubcXV6y0o2rO1i4GQuGSz76ChZGJlFAYmpE8ZdwCJwIUAuiuMYcMLmu0wPQbQfA6/pTWBMDSlbwCJbSjDUyXAyrC66/Vu97Q2hDHob8Qk6HKdOgwf7GgVaN+mvdqvbqJawNAMeBhvXvSuTvVPpZEN2gXwxcuTZgFemnHwxomSGvJBznzaQZHj8Jbv99KP7JlsyTL5lAsm4MrTJMfZtNyTRF7pi31aeNpNpx2mTjKoMhv0MEMg8oyfj4fimRwxi0w+DaghWfLqZkfHpEaNpu9kxfSJjIivi3Jy//gljG7LvupIB15Zd7w5Q2eJmn+mCKXOyYtDof5Ap8iITLjNuu20CAzJkOx1pMtTPFnd11THkmW4aVJDnZtNl3LWPDPJZ/AS99Zu20wVyLNNH7nv9Ar2hx+yBOpSnbf4Op79+7+5Hf52b+rRN3ZZI0MtuW6zpF4yEMFJ6fQWdasEtXWXjW8xFVttvw/ktv9lfGfyVmIueya7TD8fTDToqQG7Q35Yl5xvpgDrItv3pFJuhvcpVDt/EVmhD81va4di2WkTdw/kt+9It5Tb9Ha59zW/16jm9ZsfYoH5t6TeQmZaZrIH+lITAMJAyPTKdltOEEEIIIYQQ+jNZlu5MDYzQjD6NTmU5QgghhBBCCMMzZjL6IYQQQgghhJEzZjL6IYQQQgghhJGTQD+EEEIIIYQBJIF+CCGEEEIIA0jW6I+Q7iMUPaJpODyKyWPZPJqq+2i1EMYC3ccguvG9PbZwSuBxaXSKbnl0WfdxnSGMFXofHTo1HhcbPxPCyBCz9T5OdErDJniErseAeniMx3+OJmMu0Bcc6DzPNfW8U0/jGSke0en5x07ZBZ+YZ6F6tKcXuDhmiy22qPV77qoLqjztEKx4Vvi1115bL6wXeo21561O77iW7RnE5MV3z/z1ngYyMzHyNhbx/HIv8SLHn/jEJ6qOCcQ915vMw7O/fQQZra/0i9/0U8P+jqMjnnnsr99an9INukK3lllmmfrCkujLtAeby9axnf53rdk3z5mekgPBsULTGc8H9wKwyaEz7V0Tnn8uSOnte++GUZ/jvahy0O3S9M7U1EHlkz/+Tx1d2WK7bWvPsVf/tG6ztZefOffcc+v7l/gZg+Smm3TMedLD1s+2+Z0uN2xz3vTTedufT+un5/T7kksuqe8E8HJI7x0YTR0dc9bBRTj66KPrK5K9nU3njxQXe7/99quvFnfBCO1I8aIGuGAuqheb7LjjjvXthd6a5m3A3q7WjLnXs09sHWH0YRRuvvnm+uprb1Oe3t7i2l4D3t60S99++MMf1vdW6Aufr3zlK/UV5t2+ogtnnXXWUCn/QgC011571Tct/u///m/ZbLPNntWn3nDohXeCIi9kYTTDtAX7ys56W2t74/kaa6xR33ju+oZ/6YxsoTfbNp350Y9+VN9+23Tmf/7nf+qboZvOeEM0nTnzzDOf5SOazmy99dblqKOOqt/79T0EePEzg0/TwS996UtTRQfZ4vPOO2/cG927skV+BbDeZH3cccfVgce0jgEL3fOWbC/lonPe/OuNufryk5/8ZDnjjDPqALz188c+9rF/ewuufjn22GPLRhttVL7//e/XeJKer7vuuv+m5wYOZve8sMzsm7JHkzEX6BM6IyjG1EWYGAPnTYUukovcfVPc+FA+YWbMGVZvW6RcBx54YH3FuQtL4Rhnr0q3rEdmn3Axwm2kF8YGTZ5MtzEA3/3ud8vXv/71summm9ZBXD8Yw5NOOqn8+Mc/rko9MYPPaQlGXMBCv7zRmrzrD0ZLgL733nvXj2yGjD/5tt1MRwvW9UXDYNg++sN2hrbbp+9973urvuhXdTKyYdrC9XX9OMiNN964fPvb3y7/9V//Vd9oK1s11q5Z09WDDz54suhqV2e8wbarM5JA+ovOkHEZeG/g7eqMpWtdnTEIEBzYp2UK+/W9fWwTQMTPDDbD6aA4ZErooLrEPBJbvfohiSkr/v73v7/Kt4HtlEYsReYliy677LI6sB0p9IIeeVO2N+J6e7w2S9hKWOnL5Zdfvgbt9qHP/Jvj+LOujaC79FPcSHfbjEc/PXdN+DtxpjLEq6NJ36U7DI/GGuW0EZt1TaYxnKzfBM1veMMbakBAIE477bT6GmEdYN+VV165Zjh08tVXX10DA9s49hVXXLFeOCND2+E1xrYrH6ZF3vrWt9Z1woya8nWWfQQQAjGZDq8GN/p0oXQoQ6tNAhPtdWEuvfTSuo2QahtBXXbZZevrm3/zm9/UIN60CkWSafRKdRcILjhD+pOf/KSe82qrrVbrF9zLyrjI3ekdyGxefvnldSDgHLpTs2HahmyTCyN2wf3rXve6ahgoO8U//fTT62uxKbTraxrwnHPOKUcccUT9XcZlgw02qHJMH3plkrEhP02eqZ/Bo/LIKtS3wgorVP1h1MwUNYNjP3K49tprV4N0zTXXVD2iI2C01EWHR6K/zqEhYFGXjP6HP/zhqlumIE8++eS67UMf+lDdz2yaQMW5WoIjcGf0ll566aoP2kBPf/7zn1c9kKk3+NWmD37wg+P6tCFzoh7HGSyHaQf2TzB6yCGHjJM712r33Xev158tJRt0AK6r62tGiOwKqsmucsiu1+CTOTaZLHbtLnk2U0RmOFzwF4JZukf+BdP0iP3nQ2TnvMJe+XzFSiutVOVfm5uuOp4Oar82sc90k23+j//4j5p5u+WWW56lR/blw2zjH9p5cN7OrclpV2e22Wabei7655RTTqm/kXeBwb777lv1r+mMWWU64y3vdKb115FHHlmXAaG9AV7mtF/fOy99qD/XXHPN2n9h8OjVwbe//e31uySjpCVZZG/PPvvsGvx3dWGJJZaocvXrX/+6LpFk+1tsRa4Ft9aSi3fIOxtM98RUxx9/fD2ej2K/2Xf+jt+iV3SBPpPB5qPUTc7FUMrXLvuJtxzfdLL9rk6yLw6kf1dcccW4mV3nKlbUNjpw2GGH1TLYCjZAm5xXK49PYo/MdjRdcO50mz83SHI+lr1p7/bbb1993C9/+csan9quTepxzIILLlh1U+ZfH7Ab2u882SE6yJezAWJB+miWmq9lV7TPrIh7z5ynto3WMqcZv2SeogdCdMEFF9SsB8Mi8GkfgiQg0RFGRwyx3zl1HUhwBMZO2rpbIxtBzamnnloFhCPQAQy933USQXExlS1gZ7hNf+ggF0xnHn744dVwEh5GX92rr756LfPEE0+s5TleWfYh6Awqo+nCOSe/2+53wmV/wZBgibBQBILr5iYjNTgP56o9ArIFFligOiOCpX7796J9yuY0OL02aAjTPq43w0ehOWIy53oKFMjHMcccU2WBwSTHDIcsw8UXX1yvOYPAWDBa5KRXJpUjkGnybBvjSJ787jsdENSQQbolEBbU0C8ZHMaC4WDEBFjaaj/Bi0E3+aZDBqcT0l/ttz/UQRf0AQOnrc7TeRj46w+6qA30QICh7VdeeWX97jht8rt6lGW74Ec59EHbW58K/Oi3vmnBGocQph3Is2vK8bt+5IkMkCE21LX1ncNtsuuYJrtsr79Ndl1jsuJ+J/s2uyswcJzA3cCSMyXPZLLJrjrVxWGSHXJpKp3PsS+9JU8CffJ36KGHVt3kY9SjDfZRFnkzyOCjyDl9pUfKch4+zk0gIPho56GNlpvRG7Ksfc6D7As+ujojeBA0abNz5D/oBt2mM753dUab6IztdFNAJvPYBiC9fS+w4dfiZwabpoPnn3/+ODkgzxInlouQUbJGF+gBGRZ3NV1gXy0DowtiM7aXbDcf1fRLsM1HidH4BzEgPbTN0mU+in1mv613J+tiJbIt8Wk/etPKoxvN12grv8h/2l8bnQv5b3GiwbQPHbXdcdrJlqhPW+kT+8Fe8HVH/nNgTK/pjrrpg/Icw6+pV9v5bIMGCQK2QV/SX/1lO1ugL507X+fc6JdzcM76gf1SPv23n4GIsuxvcOJcbaezBunqd7z+dx72n6YCfZ3jxAQye+65Z73Zx4kJvO3+zne+s540QyRD2YIAN6m6AVVnyuLrOB3gZF0YUyWCY8LWAmXlmcKXKWcorWs02mTslGk/GEF9+ctfriMlF0W5LlwLivy+88471/VSftN2bSYMBgPWlLWb/exvtKudRmuOaSPZJuzOC9rgXAmdQY1jBGSUSMa17ddF/xE8Rtk5JqM/dmB4GELZE4NTo30KLLPHKDCqln8ZwQu2ZS/Ii+M47t12263KENnrJ5Nkg0wKFMiz9e2yduTQX9kKZZJFBs/+DItsuiw/PRKE04dm4AQJn/rUp6r+0DWOQaBANiekvxwBWQbnQWbtqyy6ImhhZDmKE044ofYJo0WuGVROx2CaMbQvQ6c9jLI+UZa/9mNsBXKtT+2nz/QH/XJ8MvrTFi3I+MUvflEzfJIqnCT5k2Hm0Miy/4eTXVlttprskht2mAw3u8vG0hnyycH6zdIu+iAAeNOb3jTufiiyqD510Ef1kf211lqrDiLUSy7ZfGWS/c9+9rNVrgQu/AsbvtBCC5U99tijtp8sqoc+04/NN9+8fie3yhS0SOhsvfXWNesnq9gGx01nBNnNv/TTGXbDudOT8emMvqAzyjEDLWiQfez2vd/0DR0XRGg//9n0OAwWXR0kTwbC/MmWW25ZB3hklT0X3NIFGX+yK4YzKDZ4JJ9mqPkj9p/MkT0zQXwZnTOgpdcG0W1AQUcs0yFb/CI9IJt0T+badzonHvvMZz5T/RR/KMb74he/WPVFWwxEnAe9ESfSS3roPNgG+sxeOJ+vfe1rZb311qt6pS3iSLGW77LwynQ+/IntHhqx7bbbVr3nEw0o2BL+jR0wsNBe+m2b7wbu9MrMm741u60v9InY1fHOz//8ruOdp3qdvw8bov3uGeXTJN2UYUbBuYkzHaNNdJWOO240mOg1+hrqojsRIx6d1EZ0ppEYs1133bVeaEYSjLGgw3GONyKEMhouSLvpj9FysTl/wioj0w/lG1Fph+ADhElZhLIFXC5YG+E1XAQKIjAzsND2dvPJhCC4DLzyw+DBwTJ8+++/f7nwwgtrZpzyGpAaZApCBOgyIgxUlwnJJMcssGUgmzwazJpZYoAF/IyxjKfjGV6Zmk022aTssMMO1bj5TUBEjwQR9meo6I6MiLqGo1d/R4IAjTNgyJyzftEfXZwPw6ddBv4ywL5bkgd62NunDK/fw7SPAeEXvvCFel196ICAm/23/HHDDTd8luwKbMmp4ESA0WRXEEA+2w2m7O5BBx1UdWJ80BV+xMCQA+cXzKJpB5+jLA9aoGO99B7bS/MvdKI5YrZdMERHDOwFPoIJa6M59wlBZ9iIpjP8oyCgi326OiOIbzrTDQj0Y7fvv/GNb9S+D9MX5ODzn/98zYoLbtuytX66wM6Sa7EKf0T+mz9qPurII4+sy80MUP/zP/+zDgjoMwS0LW7iL3wXM9GvFteNBMcJcpUh4HVvoyCf/9hll11q+3vLaz5K/cP5KO0UY0ok2BcGyQJr593rl7voB31k0MRWmTE3uFdv0zsDAsk9+wry9S89NRDp6iYdNuDih8WsfPJI7MPU5jndjOtEGU9/XUhrmRh6awethbKGd6eddqoXqu0nQGodZLQEAtowclKWtcHWOXlSB8NMQAUDMpW9AqFsdQiUBOi2G5H5uPiMequ7Wz+MQFt2RFu1va0T7eI47XUs4WlZUNNELmpTjF6MNPWLNoaxhWtN5hgoMkjpXXdGj9NnbK3DF7AKWrpyOSGZVBbZYIwYThg0kiVPpSH77viXaXQ8ORMoMeLWwjPwymhyKVi2v0CCEbWfjM74Amjn1/SyC6NKB8m59hqgwL4tUDJtql96Ayb72OYYNsD5288sBvr1qbpaG5wLox2mTTg5Ts+183G9DIib7JJRsisYJrsCZbJrgNqVXfLAuQpmZQDZXbpEJyYEmW9ySx5lKzlo9ZJ9T8Zq2ceubPu/e2wvLQDij8hv01fnbMBCn81KSAoJtmTem340neFPfHp1xtKG4XRG+U1nDHbou4RY05mGfu7X99Bv3aRBGFyaDgpAzSrxIT6ufT9dkDnnswxgxSktiUkXyLRg28CcveY/rLhoT44SNMvoO45c+0536IPjR0rTPXJqRYRklnrU6b6V3jix4f/h9BV0jq602QQDGjqpnXSy6YdzoS/8cNtPe+gif0P/1E9Xu9hH+QbeklLsnHL91m2TNvpdwG8QoHxJgW7iQv83GzNaTPJTd5ykKQnGVQbeshbTNARQh/S7UC64IMe0ieULMhSmjYwyjfqsXzRd6sK5CC6IqalvfvOb9e5ma82US/BlNowy3Qzp5hSDjCZU4+tcxxMGo0IjWR+OqXcw0S649nJeBMyUq+kcozhC6xzcES5jZR/nrk3aEAM89qCs5I+Cu77kzlSfzKWMuZueKD5ZIR/kyHU2hc6AMSiyAP1k0iCRXAp2BECyAG19MxmnB8oxgCDfDJKsh4GwrILBhf8ZNOUJJMgcvfNRryBbuyYWAYY6lcfAt6BlpNBTRpUOM3zOs8l/vz61tIEz0Wbnk0B/7OH6kvd+sssndGXX0hl2Fpxh1+6Sj4mB8xTwQPmWwlhrK1gfn83VrqarbogVtAvC6TJ/ZOkO+WTDBdB0W0LI1Dyd1Va+oOlXV2fo3cTqjPMYTmcmRPzM9AmfQDZ9xExsZ1v/TRf4gaYL9m0xkvsoDawF9WSWTzJIt7+Yi662gF6yh102M2DZM59nf8lLx/aL68aHOFE7lMF3qlPme3xxYoOutcRVW8LGb9B/dofP5WfNHvKH+kI9ynQcnRJL0k/nN1K0WULCihXliUVbO3qhf+p2TQyoLDNSl/Y5dnyx6NSg7xp9Rpfx1sGyM/5qPMMto+G7ZS9OXKcydk6IcBEOoxkjP2umGD5CY582je/EHa8DGTj/GywwoMogcC6SG46s32KI2yDACE7gbZvytUEAoX6dq52mSB2nzu55KL+1RSafEhA2x5qm1S5LIAhkd4TneILp/G2TVdEGgb02Mf7OwahaptJARz9YW8Z4xwiPHcgrmWnXlSwymOSRgSMHggSyYJpU4E75GR6DRktzZNkZFnLZK5NkhwEg+6brGToGgsNXp5kr2+mKssmsIEa5DGQz7AabAgT60MrSXoFJy1KMRH8Zpma8nKNzs035DJ36u8d2jby+0hbnTi+cg/0ZVGum2QYBFHtCn+zrfFufqldmynKEpu/aFKYtXD/Be3NkXXtGHsiHhyGQXfbV8pzhZFdZ7CI5Y+sFIM3ukhcywT4rg+y0etlRkE22u31vPqQFKQaL6qbDPnTB8cpqx2oze6899EO9ZJYfoEeCH9k5S5G0xWBAoOM8nL/fZfrIbNMZesgfNZ0R+I9PZ5yXdmqv3+zfdMbx2svvCeK1rbfvbWeL9Kv+dJ7qCYNJVwfJhNgFrrnfBJLkly40H8Eei0nIZIuRJGMlcdz3ojxxCj1kl8krmbQ/eaQj9MpH+XS0Za35N75MHXRefe3YllmnW9qpLDrO1jefSG7FifTL76Cvjqf7dKLro/g1yQFtMUuhLjagxX1u3lWXZdhmJZwL6J22SDLQRfrWftM++/GHDefGn7V+tl297vFp50Mf+V7bldX03DmCjkoI6zPLg9gK/nE0g/0x92bc0cITHBhXQRzlGQ7CK9NP2UwjGxB0BSmEkcJomxVw4zhDwoDKvBhgmvJktCb3ILI9hYojaNO4UwoBDaPqxmeG1Q2do535CJMHsiuDaHDbZJfc+liyI0AYlMDUWmk6YwBgsDoldabR/IzAx5INg4L4mRD+HbpiFoMdshLDrEQbeE8pDH4kBsw2eOiAenuXB01NYhlGCIcFGarxYXRpxGcUmiA/TApmxWQNPHHEeko3LnpSgLX8HPuUmCliDNUp4JdhmZLIqphqFhjJDsnuhMGA7HKon/70p+tsFtk15W7NPtkdpOyzWQLnKuA3oJkamEXgZ2Q142dCGB7ZdZl+M47is6mBBJaVHRIaEnIt2z9aJKM/QhhVU1m6SyA0HJYkGEGaapKlDOG5ItA2pWp5mQyBwN7SMDNKpi+nhHNXJxlmqEyhTsmATEafTtEtQb7p0DAYDCe7lmjKbA1SYNrVGeuG2f4pTfxMCCNDzGZ5IXtkadDUWB7KJljOZ5mUYJ+/Hk0S6IcQQgghhDCAZL4vhBBCCCGEASSBfgghhBBCCANIAv0QQgghhBAGkAT6IYQQQgghDCAJ9EMIIYQQQhhAEuiHEEIIIYQwgCTQDyGEEEIIYQBJoB9CCCGEEMIAkkA/hBBCCCGEAWRU34z70EMPlVtvvbW+Et1rvGebbbahLSGEEEIIIYyMJ598stxwww1llllmKfPOO2+Za665hrZM34xqRv/+++8vF110UbnuuuvKI488MvRrCCE8dx544IHy8MMPD30LU4qnn366Jmv0dwghjDZPPPFEufzyy8s111xT7r333jKKeexpilEN9B9//PFy1113lfvuu69eoBBCmFSuvvrqOlMYpiyPPfZYuf7662t/hxDCaPPMM8+Ue+65p34effTRoV/DqAf6d955Zx15JdAPIUwOZHNuu+22oW9hSiHQv/HGG8u1116bzFkIYdQR6N99990J9HsY1UCfczD96+LEUYQQJgfWafqEKQubrZ+TpAkhTAuwSeLJxJTPJk/dCSGEEEIIYQBJoB9CCCGEEMIAkkA/hBBCCCGEASSBfgghhBBCCANIAv0QQgghhBAGkAT6IYQQQgghDCAJ9EMIIYQQQhhAEuiHEEIIIYQwgCTQDyGEEEIIYQBJoB9CCCGEEMIAkkA/hBBCCCGEASSBfgghhBBCCAPIDP/3T4b+n+pcddVVZb/99ivzzz9/WW+99cpCCy00tCWEEJ4bP/jBD6otYVPClOOee+4pp59+ennggQfKNttsU2aYYYahLSGEMPV56KGHyne+850y77zzlne84x3ljW98Y+zSPxn1QP+b3/xmOffcc8vMM89cPyGEMCkw9gsssEASB1OYxx9/vNx666014H/xi1889GsIIYwOzzzzTLn33nvLJptsUrbaaqsE+kOMaqDPId90003VUbhAuSAhhEmFSZt11lnrJ0w52Ox//OMfNeB/3vOyCjSEMPo8/fTT5RWveEV55StfmQTEEKMa6IcQQgghhBCmDEnDhBBCCCGEMIAk0A8hhBBCCGEASaAfQgghhBDCAJJAP4QQQgghhAEkgX4IIYQQQggDSAL9EEIIIYQQBpA8XjOMKYjrE088Uf/ONNNM9TPaeG6vZ4ljttlmq38nhqeeeqo8+eST9Zxe8IIX5H0SIYQwArzLgT9gP1/4whc+p/c5NJ/CjvMns8wyy9CWEAaDZPTDmIJBvuSSS8p5551X/vSnPw39Orr8+c9/Lr/61a/K8ccfP/TLxOE8TjvttHLMMceUxx57bOjXEEII48NbUL1Z/wc/+EF5+OGHh36dOJpPYX9/97vf1cA/hEEiGf0B4oEHHigXXnhhOfTQQ8sjjzxSDdZqq61WVl999foGy7PPPrtstNFGZckll/y3TLhjb7zxxnLzzTfXfUaamWZcTzrppHLiiSeWBx98sP722te+tmywwQb19dOTE+UzxGeeeWbNei+//PJl5ZVXLvPPP//QHiPDeV588cU1G7TpppuW5z//+ZOURf/Nb35Tg31v41tjjTXq/z/5yU9qWzmRF73oRWWbbbYpiy++eLngggv+ra/008wzz1y3feITnygveclLyowzzli3hxDGFnfeeWcd+Bu8t4H76173ujpb97KXvaxsttlmw9ocx/7+97+v2eW3v/3tI7JL7Ji3zP/4xz8ul156abXJ7Pc73/nOsuCCC9ZEwuSydZPKX//613L55ZfXc9x6663L3HPPPUm27qqrripXXnll7dv111+/ZvX5sosuuqj6QX3BD/IT7LMEkcGB/uA/1l133bLSSiuV2267rV6zRRddtPa7fgphUEhGf0DgUC677LIa6HMmjNiKK65YFl544TLnnHPWV0EzYrPPPntfQ28gcNddd5UbbrihLiUZKaZMGU71L7vssmWFFVYoiy22WJlrrrmG9ph8CIbnmWeeel6Ms1dcPxeDzAkusMAC9TMpToYDcf633357nTLmSO65556aGTLQ0g/a6loI3u3fr684Yw7P8h/bDQ5CCGML+k3vDfwlTBZaaKGq/z70fJFFFikvf/nLx7u85NFHH632xGekqJfNuOOOO+qyE8kDNod9Y1f8nVC9Uwv2+qUvfWn1S9o6KYMOforPMsh5zWteU/1D1w9KADU/yMbaXx+5FgZezU/xAXym45X1t7/9baiGEAaDZPQHBFnkn//85/XvDjvsUIPOFsQycAzY3XffXQ2+7IeA9Nprr60BPhGw73333VduueWWsuOOO9bMyF/+8pfyxz/+sR4LQTYD3c2gy56cfPLJtTxZa0E0463O3joYU4aVcZbRllWZY445qhF+1ateVZ3kddddV4NdGS1tmm+++cYNUO6///5y/fXXj/jYeeedt2Z0GH9ORbuXWGKJGpw7V/txhDLvztF37eM0DI44axkozrfbFtugDcqRSdPfZk446G984xtlyy23rNl9A6zGcH2FP/zhD/X6GcDIPml7CGHswObdeuut5bvf/W61STL3bB7YEPaLzWCzBOay2myy/9mnpZZaqtory0jYIhlv+5uBZIfYOHZIoCxIbXbIvuzQIYccUutdb731qo1Ht142qp+dVB57owz1wIwvO8h+sVvsbruPqNldvkDblcemd89DYkMd+oNtdZzEjLoMOATTjlcmP6Nex7PHBkR///vfn3Us3+PcWn+CHzCb7Pg2O6CcI488svrB7bffvp6zc1Heb3/725q15x/Z8t5ZbTMAfAUbbCAQwqAw45f+ydD/YQzDaTCMDOnaa6/9rOwNI8cYyzTLMs0666zlrLPOKrvuumv97Ze//GUNPjkHRnWVVVapTuuEE04o3/72t6sDsdyEw2FwLUFp5QviOQHHK9t3wSsHc8455zyrDg6D0/nhD39Yy1S+aVf7M6wGGXvssUc54IAD6v6CYgMNjkMAzlDbPtJj/XbccceVo446qpxxxhnVkTk3DsgypmuuuaYOID772c+Wn/3sZ3WN/U033VTPz0BHO/fff/9yxBFH1Gl4QTznZ8DQBjPap10ch8yZMp2n6V+OqctwfcXZcsCun4wTR8dphRDGDgJVy1LosBk7mWT6DbaDzZU8kHFnA775zW+W/fbbr/ziF7+o9kgSgW1mn9jh5ZZbrga6Bx544LPskKU4EhZsDjtsXwGqun1no80O+l3gyw6rd5lllnmWnWRD2Ul2RzsFwd/61rfG2U/Bv/acf/75Zeedd677+7B3eP3rX1/b2u88DAbMbPAfP/3pT+txzkVwbXnS6aefXvvHQId9/t73vldOOeWUOmAQnFta2fU9Zpp7fY9gXpLGua666qp1kCFh4ny0nR9kW+HaGBCwzwZJBj7st7JawG/5jv6yzfLWdu1CGOuM/lxemCwwmIxaN+MxHC2b84EPfKCud7euc/fdd68BdUPAywB+5CMfqdt91llnnZpxYmC7MKAHH3xwvR9ANpoT4Qx66/j4xz9eg2TrIhl6v8m6QH325zz23HPP6lwYeWgvR2WQMNJjBe4chnEsR/H5z3++OldlMfpo5+K8Dj/88FqmtfUGDgJyffmVr3yl/s4JvfrVr66OSBngEPzvrylpfzkxmSsDhX706yuO2yBL3/hf0B9CGFuwQfRbUmJ8A3UBJpsl4BfMyuALiq0x7x4n23311VdXO/TlL3+57scOCVTZ+2aHGoJhQfyb3/zmOpvItvTaarCTgvNmYwW0Bg1spDoE65/85CdrAC3wlTx673vfW5Ml2vnud7+7Jk20gZ3sdx6y7fyRmUvr5U899dSawNDm9oSyBlu51lprlaOPPrp89atfrX6nHSvgZ3/NUrCL+rdhVkCyhO1lP52HNgne+/lB+2ufexfcF+Uc+SYDIjhPNtxALYRBIoH+gMBAMa4M8ISQcRbkchiW8shEc07WKDYEtJCVtt0HjlVPF5kWwfI+++xTM08bbrhhNb69dYBhbmtV/WY/5QnCOUrfTRcL0mW9GV+GX5AvIzSSYxl5GR3HOS9lmWpuTrQZdrMOHJl6BOfKdC6OE3CbGm+/a4e2c1TOC8rR7+BkfDeI4Cjs249+fcXJOp5zcx6tfSGEsQO9pb9sBFs1HPaR4Wermn01yLeUr2WgYT92SHacjRrODjXYuS222KLsu+++Ze+99662pd8SQJnvXhvLjpkt+NznPlcTKAYAMtwGJdokGNdG+7O/ZkLZuuHOQ8DtaTiWMUnwmBHwvd/6d2Wz2WwtG82HsYdd36Nv+R6fZh/99bGvD/TZcH7QQxHcF2UwYQbiU5/6VE3qtGOdZ7uGIQwSCfQHBMEiIyWDI/PRjGE/WsakTe/2owX9jLl9ZJdMDzOCXWcEht10rWy7bIlpZUFybx299XIiylS2+prBhf/9JlPjmIk5thcZnlZWdz/lcXrK7DXuBg3q8OEE9YOBgeMdB+VyHn7TDmVxSrJOHE2bOejSr69a9l+5BgLKCSGMLdgoCQVBvkTJcIN99oJ9YXPYl+Ho3a9rh9DsUMOAQHZd9lsyoWtb+qH8ZhctQTQbaW29G1gF3X7vhc1jn7RrfOfRBhMSM5boWDLpSWyWNOmnLr4rp51Ps39savM9+rL5HvVC+7Tf9rYvPwh+0ECo+R7Y14DCskqzDrL6BiZd2HPJoRAGiazRHxAYMZltBk7WRDbGVK6gn3G2Tt8ae4aWARaIejQZY2hf3zkomSJGmTGVrXGMbLp7AOzHkSmDQQQDbJ2kewAYW0tsOIzmlGxrdXBQgmpl+c20rzWjgl/TyY5v6ys5CG339ATrMv3mmNbm8R0rE6QPLB9aeumla8ZK37gx2I1W2iaT7xhrMa31lwXym4xRezKROvzmfJyfTL2MkLZxMpyI87/iiiuqc1CW9jg/vztOG7XLWlf7a0NvX7k++sr6Uc663ZMQQhg7tMCXzrOZbCndZ4d9Z4MEtdbeC4zZF0kBv/vLprJ5bDhb0bsf+8N2sEnskJtZmx2S9GBr2Q2zqPwB2DOzAvYxCGDnta9rYy2tUY+2sZWOZw/ZIoGz4JqdEhj7n0+wnR9Qj/PTpu55QJlsqfOQAFEf38N+t/L4hNa+ll1nC5vv0f52/1nzPcoEX2Ifvs1gwgDBp+sHHdfK8VGuerWR3e3C/vKB2ioZ0wYUIYx1ktEfEGQm1lxzzWqkdtlll7LtttuWj33sY/WGUoaUAWS4GXPG24dh22mnnepTCI499thqMFuQK1jmtKyHV5ZpTs5EENrNgtiXszAtax/7Wu/PuDLq3TrcFMa4tt9MEQvcGW/1CYZloPxVrn3NDGiHOrttntCxztP5Om/fu+fvIyBXpkEEp2Nt/3bbbVdvCjPt7HfBuicxmHp2TrJcsmTOC9pnqln5HJbvbtbdfPPN63pW5+wafPrTn64DFg6uX195trM2GDA4R20LIYwtBMGWtpipE1BbrkL/fTwdRhDZstDsBHvKvnh3xm677TYuAUD/ffrtx14IeNmnthSx2UrBa7N/DW1q5TW72PaD41pyQSDM/rFbbqzVXvv5NL/g4xyUwS47jp087LDD6pr3dh7smO3WxDdftNdee9XBSLe8Zot9GvqwHcv2spXsq0RK1/cog13XP+yqwULzg5YluefA8er+0Y9+VAdKjnHOvTjWgMI5a3sIg0QerzlAyKAwegL2BqPcjLwMiO+Mv6yJ/TgWML6Mpmx3y8g0A9r2aQbZfg37M8L2a8tfOCj7MeLdOvxmm/39RvQYdAG6v47nNOzTvitX25TlmFbe+I7VPt/V41i/OcZ2bYDzh2MZ97YkyHfOQB8JzB2jXzkHdek/bWk4/4MOOqge5/GaBh2tb1sdzZlql/J6+8pH1s7jNT/0oQ+NmzEIIYw92Bq2g/1sNLvbAlu2ho1gD9gC2yQ12ArHo3e/Cdkh9s5vbBF7D2WzbXBM+97285098p29Uo+yoH72E9qk3uZHtMV23/udB5vWbF07H/Upzz6tPHU1O9lss3Meqe9xc7KBhaVKBj/q7ecHu/5NvdrQaPWx45YueVqPmY0QBoUE+iFMIp42wdmYNvdW4YnFNLNH45kF2WqrrWqmrl/WKYQQwv/HsiEzoZbpmEltSaqJwUDDTLEn/BgsvOUtb3nWgCKEsc6ortGXGTDFadQuo9AdZYcwVmiZL5msfo91mxDkXybKdLPlQd1MXQghhP6YJWjLiJ6r7ZTrFIvI5rcn/4SxiRkb98a4nm1pWBjljL4gv2VCrcuzZCKEEEIIIYSJweyMGR4DP4+B7fd42emRUV0fYE2hx3q112eHEEIIIYQwsbg/w8NH3HjtPpmsTP8XWQgcQgghhBAGghbgt5vSp3cS6IcQQgghhDCAJNAPIYQQQghhAEmgH0IIIYQQwgCSQD+EEEIIIYQBJIF+CCGEEEIIA0gC/RBCCCGEEAaQBPohhBBCCCEMIAn0QwghhBBCGEAS6IcQQgghhDCAJNAPIYQQQghhAEmgH0IIIYQQwgCSQD+EEEIIIYQBJIF+CCGEEEIIA8gM//dPhv6f6tx+++3lrLPOKvPOO29Zbrnlytxzzz20JYQQQgghhJHx2GOPlZNOOqnMOeecZamllioLL7zw0Jbpm1EP9E8//fR6cRZZZJEyxxxzDG0JIYQQQghhZDz++OPlggsuKIsvvnhZaaWVEugPMaqB/n333Vcuv/zycuWVV5aZZpqpfkIIIYQQQpgYnnnmmfLAAw+UVVddtSy//PJ1tUgY5UDf6Ouee+4pt956a3nqqaeGfg0hhBBCCGHikcmfb775yqyzzjr0y/TNqAb6IYQQQgghhClDnroTQgghhBDCAJJAP4QQQgghhAEkgX4IIYQQQggDSAL9EEIIIYQQBpAE+iGEEEIIIQwgCfRDCCGEEEIYQBLohxBCCCGEMIAk0A8hhBBCCGEASaAfQgghhBDCAJI344YQQhgxzzzzTHnkkUfKPffcU2afffYy77zzDm15bijvvvvuK48++miZY445yotf/OKhLSGEECaVBPohhGkWQeCTTz5Z/va3v5Wnn366MFezzDJLedGLXlS3/+Mf/6jfX/CCF5QZZpih/tZw7FNPPVUef/zxun2mmWYa2jJh+tU744wzlllnnbUGt8973uhNhrZzeuKJJ2pgrF2TG+evfH3wwhe+8Fnn6/drrrmmnHvuuWXppZcub3vb2+rv+umhhx6qbdNfjtE+/e46CeSVi+c///m1XP1p/wsvvLD84Q9/qOWtuuqqo9q/IYQwSMSahhCmWWSOL7nkkvKe97ynrLLKKuX1r3992Wqrrcp5551XP3vssUc57rjjarDYi2N/97vflf3337/ccsstQ7+OjFbvxhtvPK7e9ddfv3zrW98qf//734f2Gh3+9Kc/lSOOOKLsuuuu5Y477qiB/+Tm3nvvrYH8QQcdVB5++OGhX/+F4F+/yuS//OUvrwMsQf5NN91Udtxxx/KWt7yl9pcBwK9+9au671577VVWX331+rvPtttuW84888w6IDAQWGyxxcpjjz1WM/sGEiGEECYPyeiHEKZJBH6XX355OfTQQ8uSSy5ZXvayl9UM8FxzzVUWX3zxus9dd91Vvws4ezPbsvHXXnttOemkk8rmm29ellpqqaEt40e9V111VTn66KPLa1/72nFZc0H1lVdeWTbddNOy/PLL13pHA4OQu+++u9x///31nPRJ72zGpOJcL7vsstr/O+ywQ5lzzjnr7wJ6wfh+++1XB0ArrLBC7Ye//vWvZZ999inzzDNPeeUrXzkuk7/ggguWX//613Uw8qpXvaq2FRdccEF5xSteUdZee+2y6KKL1uD+4IMPrjM1a6yxRr2eIYQQJp0E+iGEaRLBpqzviSeeWHbbbbey8MIL1yUfsARE1vnmm28uL33pS8tCCy1UA9/jjz++rh2XdRY0zjfffHWZyZZbblmWWGKJcvvtt9cy//KXv9Sg1XZB+xvf+MZaLtR79tlnl9NOO618+ctfrgMMQauM9THHHFP3McMw//zz1/ovvfTS8uCDD9YBggBX8K3Ms846q9x66611yYrs98orr1wHDgJ1bTIIsU1g7Nzs63cIiN/61reWRRZZpA5mtMWyGOZawOwYy1ve8IY31LbJmpuBsC/soz7lCsINdrTROWujgZMMuz676KKL/q1ewbulNL2BvnN0zt///vfLJptsUlZaaaXa11dccUU54IADygc+8IG69MbyJr8rw0DNkhz7W0IF/aicV7/61bUvcfjhh9c26juDiBBCCJPOjF/6J0P/hxDCNMNtt91Wrr/++hrIvuMd76hruhsyxJawnHPOOTXbvsACC5QbbrihZoUt0xHwWhc+99xzjwseDRJk5I899thatgDYR/C8zDLLlJlnnrlmxm0ToELQO9tss9X/DS4sEVJG2//iiy8uhx12WM1ya8+NN95Yg2c3lJ5wwgm1Tcq78847a5sdZ7vA/dRTT62zDu4xEHzb11p1gxAzCoJtgbEBhqU6svhtqY7Bgv0tg7G0Rj+cfvrptQ328dEGAwwBtSDcIMfvf/zjH+tfgxuDBwOV3nq1R1Df9muZeHU5R/upW1Ze/wr0DVpWW221+pt+lKU3K2DgZQbG4KLNPBgE/PnPf67lGZD4Xf1tAKafJvcsRQghTI9kjX4IYZpEECp4lDmf0A2nAkaBo8D8e9/7Xg2y99xzzxrgC8gh2H7ggQfq2vGf/exndR/r/QWWgl9/oSyDhN56DTgEwWYK/A+DB+vL995775qR3mKLLeoa/jPOOKMev/POO5fvfOc7ZbPNNquBtgBdPQYPgmKZcfustdZa5aMf/WhdE6+sDTfcsJ67rL/A3vGCfW3eaaedap0NAxvZ/fe97311u49svfMQqGujLLtyjzzyyLLddtvVAYa+MDPQrXejjTaq9baZgV4E747TL8rVD/pKMG9mpQ0I0GZd9JeBQxeDNr+1DD9e8pKX1L4Zru4QQggTTwL9EMI0i8DYkhbB7vho2WfLbLrBYxeZZ0G4jHML4GXoBa4C0vZEGMG8QLS3XkGugFY5MtKQjZc1t7/gXaArwLb0xzr2d73rXTXoduOsgUYbTAh+BbbaKnNtUPOjH/2orLPOOnUA8LWvfa0G8ALy3jb3ItMPgXZDv5llcHwXgx7n1wYxvfV+9atfnegbl9EGS+ptKN9ae/2lLV20y2/d/UMIIUx+EuiHEKZJBKOCVwG3oLAF1/2QXRY426/fE3gguBaMC9YF9QJ32WhLd6xBb0tFBO0CePUaALR6lW3N+rLLLjvuWe+2CWSV46NMwftyyy1Xg/zdd9+9Zu3dqCoTb1AgAFaXLHyr8+qrr651fvjDH64zALLzBi1tANHa3A+BO7TDubS2COod34t626Cht973v//9td7hsK9zF9jrZwMh6/HNMBhoGXSoG+pxvtplmwFQw0yF83nNa14zrg+gbPdNhBBCmDxkjX4IYZqkLbmxlMM6ck9q8chHa8Qt+xBUC8YFk57cIui0Vt16cWvnrW0XRFr37SZY+wnW3SQrYPfXch9PhnHzp4GA/QXBlq9YAy8Qtn5dvdalW6pimY1jBLrWv3vMp2U59rG234BjzTXXrOv/ZeMF6TLnAnY3yQp4raUX6HpqDeyrPtl0Mwz+d3+BG4gd19rsxtl2/4EAuq2fd9z5559fz9vNxup1U7AA3P/6zABFmY4XaK+44oo1o+7Y3nrbU4x61+hrs2Ocsxts3RthYGO7QdF1111X22G7m4MNQvS566RttpntMLvh3Kzzb8t6nJt+0kduQg4hhDDpJKMfQpgmEXgLJtddd90aCAu0f/vb39ZgWrBsu4BQ1l8w3P4XdAv23QQrCHUjqH0FsJ7OIwPtKTOeVGO7gNdxMtCtXjeOWsvfrddNtIJeWeiWKTcwEPwKpAXPBgKehGM/mXFtcay6/N/W5xsoWB/f8HQcj6aUETe4UK4g2lNpWpuV70ZgAwcBtPNSn3os7ZHNNxhwvPIF+s5Lllyb24u+HGub8zRA6lev2RSZ9VZHQ0ZfP5pBaTMY/tdG6/uhb52z8hxrEKWO3//+9/V3H20269Eeo6lfDLr0pbpDCCFMHvJ4zRBCeA7IdrdnzXtRVO8Np4OKGQJP8TFbYJBkUDEpCO6t2T/kkENqkO/Z+m05UgghhEkjGf0QQggjRgbf0qT2ONFJzRW5z0H232yBTP/0MmAKIYSpQTL6IYTwHLBG3zp52WjLhrpLXAaZtk7fEiLLgdz7MCkozzp+90UI8tuNziGEECadBPohhBBCCCEMIFm6E0IIIYQQwgCSQD+EEEIIIYQBJIF+CCGEEEIIA0gC/RBCCCGEEAaQBPohhBBCCCEMIAn0QwghhBBCGEAS6IcQQgghhDCAJNAPIYQQQghh4Cjl/wElDJ/JmPgMtgAAAABJRU5ErkJggg==)"
      ],
      "metadata": {
        "id": "CbzvVOCxiXUj"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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)"
      ],
      "metadata": {
        "id": "wWhT3zpkh18Y"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZR6lG52ntYvP",
        "outputId": "e9e4983d-0d58-45f2-bfc0-0fe8c71b828d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting yfinance\n",
            "  Downloading yfinance-0.1.77-py2.py3-none-any.whl (28 kB)\n",
            "Requirement already satisfied: appdirs>=1.4.4 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.4.4)\n",
            "Requirement already satisfied: lxml>=4.5.1 in /usr/local/lib/python3.7/dist-packages (from yfinance) (4.9.1)\n",
            "Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.21.6)\n",
            "Collecting requests>=2.26\n",
            "  Downloading requests-2.28.1-py3-none-any.whl (62 kB)\n",
            "\u001b[K     |████████████████████████████████| 62 kB 1.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pandas>=0.24.0 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.3.5)\n",
            "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.7/dist-packages (from yfinance) (0.0.11)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->yfinance) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->yfinance) (2022.4)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.24.0->yfinance) (1.15.0)\n",
            "Requirement already satisfied: charset-normalizer<3,>=2 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2.1.1)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2022.9.24)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2.10)\n",
            "Installing collected packages: requests, yfinance\n",
            "  Attempting uninstall: requests\n",
            "    Found existing installation: requests 2.23.0\n",
            "    Uninstalling requests-2.23.0:\n",
            "      Successfully uninstalled requests-2.23.0\n",
            "Successfully installed requests-2.28.1 yfinance-0.1.77\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting fundamentus\n",
            "  Downloading fundamentus-0.2.0-py3-none-any.whl (13 kB)\n",
            "Collecting requests-cache>=0.5.2\n",
            "  Downloading requests_cache-0.9.6-py3-none-any.whl (47 kB)\n",
            "\u001b[K     |████████████████████████████████| 47 kB 4.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: tabulate>=0.8.7 in /usr/local/lib/python3.7/dist-packages (from fundamentus) (0.8.10)\n",
            "Requirement already satisfied: requests>=2.25.1 in /usr/local/lib/python3.7/dist-packages (from fundamentus) (2.28.1)\n",
            "Requirement already satisfied: lxml>=4.6.2 in /usr/local/lib/python3.7/dist-packages (from fundamentus) (4.9.1)\n",
            "Requirement already satisfied: pandas>=1.1.5 in /usr/local/lib/python3.7/dist-packages (from fundamentus) (1.3.5)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=1.1.5->fundamentus) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=1.1.5->fundamentus) (2022.4)\n",
            "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=1.1.5->fundamentus) (1.21.6)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=1.1.5->fundamentus) (1.15.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.25.1->fundamentus) (2022.9.24)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.25.1->fundamentus) (2.10)\n",
            "Requirement already satisfied: charset-normalizer<3,>=2 in /usr/local/lib/python3.7/dist-packages (from requests>=2.25.1->fundamentus) (2.1.1)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.25.1->fundamentus) (1.24.3)\n",
            "Collecting url-normalize>=1.4\n",
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            "Installing collected packages: urllib3, exceptiongroup, url-normalize, cattrs, requests-cache, fundamentus\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
            "Successfully installed cattrs-22.2.0 exceptiongroup-1.0.0rc9 fundamentus-0.2.0 requests-cache-0.9.6 url-normalize-1.4.3 urllib3-1.26.12\n"
          ]
        }
      ],
      "source": [
        "!pip install yfinance\n",
        "!pip install fundamentus"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import fundamentus\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import yfinance as yf\n",
        "import plotly.graph_objects as go\n",
        "from plotly.subplots import make_subplots"
      ],
      "metadata": {
        "id": "LUCs_48JthEW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Análise Fundamentalista"
      ],
      "metadata": {
        "id": "OwgphGWYHwfl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df2 = fundamentus.get_resultado_raw()\n",
        "df2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 536
        },
        "id": "8Kkrigk1Hxql",
        "outputId": "06c22ae3-c8d5-43ee-858c-3658dcae9290"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Multiples  Cotação     P/L  P/VP    PSR  Div.Yield  P/Ativo  P/Cap.Giro  \\\n",
              "papel                                                                     \n",
              "AALR3        21.10  -45.20  2.18  2.249     0.0000    0.970      -26.85   \n",
              "ABCB3         0.00    0.00  0.00  0.000     0.0000    0.000        0.00   \n",
              "ABCB4        21.38    6.94  0.98  0.000     0.0598    0.000        0.00   \n",
              "ABEV3        15.42   17.93  2.82  3.157     0.0391    1.778       55.95   \n",
              "ABYA3         4.91 -214.80  1.76  2.055     0.0000    0.527        1.98   \n",
              "...            ...     ...   ...    ...        ...      ...         ...   \n",
              "WLMM3        22.49    8.10  1.42  0.528     0.0393    1.167        2.81   \n",
              "WLMM4        26.98    9.72  1.70  0.633     0.0361    1.400        3.37   \n",
              "WMBY3        25.39  -19.30  2.87  0.836     0.0000    0.182        1.20   \n",
              "WSON33       67.00    8.07  0.98  1.067     0.0000    0.400       13.41   \n",
              "YDUQ3        14.98  427.29  1.48  1.034     0.0084    0.469        4.34   \n",
              "\n",
              "Multiples  P/EBIT  P/Ativ Circ.Liq  EV/EBIT  EV/EBITDA  Mrg Ebit  Mrg. Líq.  \\\n",
              "papel                                                                         \n",
              "AALR3       33.67            -2.65    41.34      16.05    0.0668    -0.0422   \n",
              "ABCB3        0.00             0.00     0.00       0.00    0.0000     0.0000   \n",
              "ABCB4        0.00             0.00     0.00       0.00    0.0000     0.0000   \n",
              "ABEV3       15.67           -22.47    14.86      11.11    0.2015     0.1827   \n",
              "ABYA3       19.96            -2.75    33.67      33.67    0.1029    -0.0096   \n",
              "...           ...              ...      ...        ...       ...        ...   \n",
              "WLMM3        8.16             3.55     7.28       7.00    0.0647     0.0652   \n",
              "WLMM4        9.79             4.25     8.91       8.57    0.0647     0.0652   \n",
              "WMBY3        8.62            -1.50    25.02      25.02    0.0970    -0.0705   \n",
              "WSON33       2.42            -0.89     5.08       5.08    0.4414     0.1358   \n",
              "YDUQ3        9.08            -1.16    17.26       7.12    0.1139     0.0025   \n",
              "\n",
              "Multiples  Liq. Corr.    ROIC     ROE    Liq.2meses   Patrim. Líq  \\\n",
              "papel                                                               \n",
              "AALR3            0.83  0.0330 -0.0482  6.704580e+06  1.145370e+09   \n",
              "ABCB3            0.00  0.0000  0.1418  0.000000e+00  4.910570e+09   \n",
              "ABCB4            0.00  0.0000  0.1418  1.750110e+07  4.910570e+09   \n",
              "ABEV3            1.13  0.1533  0.1570  3.759350e+08  8.626310e+10   \n",
              "ABYA3            2.09  0.0278 -0.0082  0.000000e+00  2.920600e+08   \n",
              "...               ...     ...     ...           ...           ...   \n",
              "WLMM3            5.59  0.1710  0.1750  7.947300e+02  5.777790e+08   \n",
              "WLMM4            5.59  0.1710  0.1750  2.428270e+04  5.777790e+08   \n",
              "WMBY3            1.44  0.0239 -0.1486  0.000000e+00  2.124390e+08   \n",
              "WSON33           1.26  0.1836  0.1217  0.000000e+00  2.148530e+09   \n",
              "YDUQ3            1.64  0.0621  0.0035  7.420770e+07  3.137430e+09   \n",
              "\n",
              "Multiples  Dív.Brut/ Patrim.  Cresc. Rec.5a  \n",
              "papel                                        \n",
              "AALR3                   0.71         0.0086  \n",
              "ABCB3                   0.00         0.2080  \n",
              "ABCB4                   0.00         0.2080  \n",
              "ABEV3                   0.04         0.1195  \n",
              "ABYA3                   1.31         0.1641  \n",
              "...                      ...            ...  \n",
              "WLMM3                   0.02         0.2890  \n",
              "WLMM4                   0.02         0.2890  \n",
              "WMBY3                   6.51        -0.1448  \n",
              "WSON33                  1.21         0.0523  \n",
              "YDUQ3                   1.80         0.0632  \n",
              "\n",
              "[986 rows x 20 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6df86efc-4b44-4c98-8876-8061fa3970f1\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>Multiples</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>EV/EBIT</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",
              "    <tr>\n",
              "      <th>papel</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",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>AALR3</th>\n",
              "      <td>21.10</td>\n",
              "      <td>-45.20</td>\n",
              "      <td>2.18</td>\n",
              "      <td>2.249</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.970</td>\n",
              "      <td>-26.85</td>\n",
              "      <td>33.67</td>\n",
              "      <td>-2.65</td>\n",
              "      <td>41.34</td>\n",
              "      <td>16.05</td>\n",
              "      <td>0.0668</td>\n",
              "      <td>-0.0422</td>\n",
              "      <td>0.83</td>\n",
              "      <td>0.0330</td>\n",
              "      <td>-0.0482</td>\n",
              "      <td>6.704580e+06</td>\n",
              "      <td>1.145370e+09</td>\n",
              "      <td>0.71</td>\n",
              "      <td>0.0086</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABCB3</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.1418</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>4.910570e+09</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.2080</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABCB4</th>\n",
              "      <td>21.38</td>\n",
              "      <td>6.94</td>\n",
              "      <td>0.98</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0598</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.1418</td>\n",
              "      <td>1.750110e+07</td>\n",
              "      <td>4.910570e+09</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.2080</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABEV3</th>\n",
              "      <td>15.42</td>\n",
              "      <td>17.93</td>\n",
              "      <td>2.82</td>\n",
              "      <td>3.157</td>\n",
              "      <td>0.0391</td>\n",
              "      <td>1.778</td>\n",
              "      <td>55.95</td>\n",
              "      <td>15.67</td>\n",
              "      <td>-22.47</td>\n",
              "      <td>14.86</td>\n",
              "      <td>11.11</td>\n",
              "      <td>0.2015</td>\n",
              "      <td>0.1827</td>\n",
              "      <td>1.13</td>\n",
              "      <td>0.1533</td>\n",
              "      <td>0.1570</td>\n",
              "      <td>3.759350e+08</td>\n",
              "      <td>8.626310e+10</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.1195</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABYA3</th>\n",
              "      <td>4.91</td>\n",
              "      <td>-214.80</td>\n",
              "      <td>1.76</td>\n",
              "      <td>2.055</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.527</td>\n",
              "      <td>1.98</td>\n",
              "      <td>19.96</td>\n",
              "      <td>-2.75</td>\n",
              "      <td>33.67</td>\n",
              "      <td>33.67</td>\n",
              "      <td>0.1029</td>\n",
              "      <td>-0.0096</td>\n",
              "      <td>2.09</td>\n",
              "      <td>0.0278</td>\n",
              "      <td>-0.0082</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>2.920600e+08</td>\n",
              "      <td>1.31</td>\n",
              "      <td>0.1641</td>\n",
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              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>WLMM3</th>\n",
              "      <td>22.49</td>\n",
              "      <td>8.10</td>\n",
              "      <td>1.42</td>\n",
              "      <td>0.528</td>\n",
              "      <td>0.0393</td>\n",
              "      <td>1.167</td>\n",
              "      <td>2.81</td>\n",
              "      <td>8.16</td>\n",
              "      <td>3.55</td>\n",
              "      <td>7.28</td>\n",
              "      <td>7.00</td>\n",
              "      <td>0.0647</td>\n",
              "      <td>0.0652</td>\n",
              "      <td>5.59</td>\n",
              "      <td>0.1710</td>\n",
              "      <td>0.1750</td>\n",
              "      <td>7.947300e+02</td>\n",
              "      <td>5.777790e+08</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.2890</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WLMM4</th>\n",
              "      <td>26.98</td>\n",
              "      <td>9.72</td>\n",
              "      <td>1.70</td>\n",
              "      <td>0.633</td>\n",
              "      <td>0.0361</td>\n",
              "      <td>1.400</td>\n",
              "      <td>3.37</td>\n",
              "      <td>9.79</td>\n",
              "      <td>4.25</td>\n",
              "      <td>8.91</td>\n",
              "      <td>8.57</td>\n",
              "      <td>0.0647</td>\n",
              "      <td>0.0652</td>\n",
              "      <td>5.59</td>\n",
              "      <td>0.1710</td>\n",
              "      <td>0.1750</td>\n",
              "      <td>2.428270e+04</td>\n",
              "      <td>5.777790e+08</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.2890</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WMBY3</th>\n",
              "      <td>25.39</td>\n",
              "      <td>-19.30</td>\n",
              "      <td>2.87</td>\n",
              "      <td>0.836</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.182</td>\n",
              "      <td>1.20</td>\n",
              "      <td>8.62</td>\n",
              "      <td>-1.50</td>\n",
              "      <td>25.02</td>\n",
              "      <td>25.02</td>\n",
              "      <td>0.0970</td>\n",
              "      <td>-0.0705</td>\n",
              "      <td>1.44</td>\n",
              "      <td>0.0239</td>\n",
              "      <td>-0.1486</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>2.124390e+08</td>\n",
              "      <td>6.51</td>\n",
              "      <td>-0.1448</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WSON33</th>\n",
              "      <td>67.00</td>\n",
              "      <td>8.07</td>\n",
              "      <td>0.98</td>\n",
              "      <td>1.067</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.400</td>\n",
              "      <td>13.41</td>\n",
              "      <td>2.42</td>\n",
              "      <td>-0.89</td>\n",
              "      <td>5.08</td>\n",
              "      <td>5.08</td>\n",
              "      <td>0.4414</td>\n",
              "      <td>0.1358</td>\n",
              "      <td>1.26</td>\n",
              "      <td>0.1836</td>\n",
              "      <td>0.1217</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>2.148530e+09</td>\n",
              "      <td>1.21</td>\n",
              "      <td>0.0523</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YDUQ3</th>\n",
              "      <td>14.98</td>\n",
              "      <td>427.29</td>\n",
              "      <td>1.48</td>\n",
              "      <td>1.034</td>\n",
              "      <td>0.0084</td>\n",
              "      <td>0.469</td>\n",
              "      <td>4.34</td>\n",
              "      <td>9.08</td>\n",
              "      <td>-1.16</td>\n",
              "      <td>17.26</td>\n",
              "      <td>7.12</td>\n",
              "      <td>0.1139</td>\n",
              "      <td>0.0025</td>\n",
              "      <td>1.64</td>\n",
              "      <td>0.0621</td>\n",
              "      <td>0.0035</td>\n",
              "      <td>7.420770e+07</td>\n",
              "      <td>3.137430e+09</td>\n",
              "      <td>1.80</td>\n",
              "      <td>0.0632</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>986 rows × 20 columns</p>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "        \n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = fundamentus.get_resultado()\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "gu2_4VISH_hV",
        "outputId": "8703827c-ff6d-4075-c7b4-e6c05844fc0d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Multiples  cotacao      pl   pvp    psr      dy     pa    pcg  pebit   pacl  \\\n",
              "papel                                                                         \n",
              "AALR3        21.10  -45.20  2.18  2.249  0.0000  0.970 -26.85  33.67  -2.65   \n",
              "ABCB3         0.00    0.00  0.00  0.000  0.0000  0.000   0.00   0.00   0.00   \n",
              "ABCB4        21.38    6.94  0.98  0.000  0.0598  0.000   0.00   0.00   0.00   \n",
              "ABEV3        15.42   17.93  2.82  3.157  0.0391  1.778  55.95  15.67 -22.47   \n",
              "ABYA3         4.91 -214.80  1.76  2.055  0.0000  0.527   1.98  19.96  -2.75   \n",
              "...            ...     ...   ...    ...     ...    ...    ...    ...    ...   \n",
              "WLMM3        22.49    8.10  1.42  0.528  0.0393  1.167   2.81   8.16   3.55   \n",
              "WLMM4        26.98    9.72  1.70  0.633  0.0361  1.400   3.37   9.79   4.25   \n",
              "WMBY3        25.39  -19.30  2.87  0.836  0.0000  0.182   1.20   8.62  -1.50   \n",
              "WSON33       67.00    8.07  0.98  1.067  0.0000  0.400  13.41   2.42  -0.89   \n",
              "YDUQ3        14.98  427.29  1.48  1.034  0.0084  0.469   4.34   9.08  -1.16   \n",
              "\n",
              "Multiples  evebit  evebitda  mrgebit  mrgliq    roic     roe  liqc  \\\n",
              "papel                                                                \n",
              "AALR3       41.34     16.05   0.0668 -0.0422  0.0330 -0.0482  0.83   \n",
              "ABCB3        0.00      0.00   0.0000  0.0000  0.0000  0.1418  0.00   \n",
              "ABCB4        0.00      0.00   0.0000  0.0000  0.0000  0.1418  0.00   \n",
              "ABEV3       14.86     11.11   0.2015  0.1827  0.1533  0.1570  1.13   \n",
              "ABYA3       33.67     33.67   0.1029 -0.0096  0.0278 -0.0082  2.09   \n",
              "...           ...       ...      ...     ...     ...     ...   ...   \n",
              "WLMM3        7.28      7.00   0.0647  0.0652  0.1710  0.1750  5.59   \n",
              "WLMM4        8.91      8.57   0.0647  0.0652  0.1710  0.1750  5.59   \n",
              "WMBY3       25.02     25.02   0.0970 -0.0705  0.0239 -0.1486  1.44   \n",
              "WSON33       5.08      5.08   0.4414  0.1358  0.1836  0.1217  1.26   \n",
              "YDUQ3       17.26      7.12   0.1139  0.0025  0.0621  0.0035  1.64   \n",
              "\n",
              "Multiples         liq2m       patrliq  divbpatr     c5y  \n",
              "papel                                                    \n",
              "AALR3      6.704580e+06  1.145370e+09      0.71  0.0086  \n",
              "ABCB3      0.000000e+00  4.910570e+09      0.00  0.2080  \n",
              "ABCB4      1.750110e+07  4.910570e+09      0.00  0.2080  \n",
              "ABEV3      3.759350e+08  8.626310e+10      0.04  0.1195  \n",
              "ABYA3      0.000000e+00  2.920600e+08      1.31  0.1641  \n",
              "...                 ...           ...       ...     ...  \n",
              "WLMM3      7.947300e+02  5.777790e+08      0.02  0.2890  \n",
              "WLMM4      2.428270e+04  5.777790e+08      0.02  0.2890  \n",
              "WMBY3      0.000000e+00  2.124390e+08      6.51 -0.1448  \n",
              "WSON33     0.000000e+00  2.148530e+09      1.21  0.0523  \n",
              "YDUQ3      7.420770e+07  3.137430e+09      1.80  0.0632  \n",
              "\n",
              "[968 rows x 20 columns]"
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              "    <tr style=\"text-align: right;\">\n",
              "      <th>Multiples</th>\n",
              "      <th>cotacao</th>\n",
              "      <th>pl</th>\n",
              "      <th>pvp</th>\n",
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              "    <tr>\n",
              "      <th>papel</th>\n",
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              "    <tr>\n",
              "      <th>AALR3</th>\n",
              "      <td>21.10</td>\n",
              "      <td>-45.20</td>\n",
              "      <td>2.18</td>\n",
              "      <td>2.249</td>\n",
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              "      <td>0.970</td>\n",
              "      <td>-26.85</td>\n",
              "      <td>33.67</td>\n",
              "      <td>-2.65</td>\n",
              "      <td>41.34</td>\n",
              "      <td>16.05</td>\n",
              "      <td>0.0668</td>\n",
              "      <td>-0.0422</td>\n",
              "      <td>0.0330</td>\n",
              "      <td>-0.0482</td>\n",
              "      <td>0.83</td>\n",
              "      <td>6.704580e+06</td>\n",
              "      <td>1.145370e+09</td>\n",
              "      <td>0.71</td>\n",
              "      <td>0.0086</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABCB3</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000</td>\n",
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              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.1418</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>4.910570e+09</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.2080</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABCB4</th>\n",
              "      <td>21.38</td>\n",
              "      <td>6.94</td>\n",
              "      <td>0.98</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0598</td>\n",
              "      <td>0.000</td>\n",
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              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.1418</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.750110e+07</td>\n",
              "      <td>4.910570e+09</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.2080</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABEV3</th>\n",
              "      <td>15.42</td>\n",
              "      <td>17.93</td>\n",
              "      <td>2.82</td>\n",
              "      <td>3.157</td>\n",
              "      <td>0.0391</td>\n",
              "      <td>1.778</td>\n",
              "      <td>55.95</td>\n",
              "      <td>15.67</td>\n",
              "      <td>-22.47</td>\n",
              "      <td>14.86</td>\n",
              "      <td>11.11</td>\n",
              "      <td>0.2015</td>\n",
              "      <td>0.1827</td>\n",
              "      <td>0.1533</td>\n",
              "      <td>0.1570</td>\n",
              "      <td>1.13</td>\n",
              "      <td>3.759350e+08</td>\n",
              "      <td>8.626310e+10</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.1195</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABYA3</th>\n",
              "      <td>4.91</td>\n",
              "      <td>-214.80</td>\n",
              "      <td>1.76</td>\n",
              "      <td>2.055</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.527</td>\n",
              "      <td>1.98</td>\n",
              "      <td>19.96</td>\n",
              "      <td>-2.75</td>\n",
              "      <td>33.67</td>\n",
              "      <td>33.67</td>\n",
              "      <td>0.1029</td>\n",
              "      <td>-0.0096</td>\n",
              "      <td>0.0278</td>\n",
              "      <td>-0.0082</td>\n",
              "      <td>2.09</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>2.920600e+08</td>\n",
              "      <td>1.31</td>\n",
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              "      <th>WLMM3</th>\n",
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              "      <td>1.42</td>\n",
              "      <td>0.528</td>\n",
              "      <td>0.0393</td>\n",
              "      <td>1.167</td>\n",
              "      <td>2.81</td>\n",
              "      <td>8.16</td>\n",
              "      <td>3.55</td>\n",
              "      <td>7.28</td>\n",
              "      <td>7.00</td>\n",
              "      <td>0.0647</td>\n",
              "      <td>0.0652</td>\n",
              "      <td>0.1710</td>\n",
              "      <td>0.1750</td>\n",
              "      <td>5.59</td>\n",
              "      <td>7.947300e+02</td>\n",
              "      <td>5.777790e+08</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.2890</td>\n",
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              "    <tr>\n",
              "      <th>WLMM4</th>\n",
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              "      <td>9.72</td>\n",
              "      <td>1.70</td>\n",
              "      <td>0.633</td>\n",
              "      <td>0.0361</td>\n",
              "      <td>1.400</td>\n",
              "      <td>3.37</td>\n",
              "      <td>9.79</td>\n",
              "      <td>4.25</td>\n",
              "      <td>8.91</td>\n",
              "      <td>8.57</td>\n",
              "      <td>0.0647</td>\n",
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              "      <td>0.1750</td>\n",
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              "      <td>2.428270e+04</td>\n",
              "      <td>5.777790e+08</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.2890</td>\n",
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              "    <tr>\n",
              "      <th>WMBY3</th>\n",
              "      <td>25.39</td>\n",
              "      <td>-19.30</td>\n",
              "      <td>2.87</td>\n",
              "      <td>0.836</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.182</td>\n",
              "      <td>1.20</td>\n",
              "      <td>8.62</td>\n",
              "      <td>-1.50</td>\n",
              "      <td>25.02</td>\n",
              "      <td>25.02</td>\n",
              "      <td>0.0970</td>\n",
              "      <td>-0.0705</td>\n",
              "      <td>0.0239</td>\n",
              "      <td>-0.1486</td>\n",
              "      <td>1.44</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>2.124390e+08</td>\n",
              "      <td>6.51</td>\n",
              "      <td>-0.1448</td>\n",
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              "    <tr>\n",
              "      <th>WSON33</th>\n",
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              "      <td>8.07</td>\n",
              "      <td>0.98</td>\n",
              "      <td>1.067</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.400</td>\n",
              "      <td>13.41</td>\n",
              "      <td>2.42</td>\n",
              "      <td>-0.89</td>\n",
              "      <td>5.08</td>\n",
              "      <td>5.08</td>\n",
              "      <td>0.4414</td>\n",
              "      <td>0.1358</td>\n",
              "      <td>0.1836</td>\n",
              "      <td>0.1217</td>\n",
              "      <td>1.26</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>2.148530e+09</td>\n",
              "      <td>1.21</td>\n",
              "      <td>0.0523</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YDUQ3</th>\n",
              "      <td>14.98</td>\n",
              "      <td>427.29</td>\n",
              "      <td>1.48</td>\n",
              "      <td>1.034</td>\n",
              "      <td>0.0084</td>\n",
              "      <td>0.469</td>\n",
              "      <td>4.34</td>\n",
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              "      <td>-1.16</td>\n",
              "      <td>17.26</td>\n",
              "      <td>7.12</td>\n",
              "      <td>0.1139</td>\n",
              "      <td>0.0025</td>\n",
              "      <td>0.0621</td>\n",
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              "      <td>1.64</td>\n",
              "      <td>7.420770e+07</td>\n",
              "      <td>3.137430e+09</td>\n",
              "      <td>1.80</td>\n",
              "      <td>0.0632</td>\n",
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              "<p>968 rows × 20 columns</p>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "setor = fundamentus.list_papel_setor(8)\n",
        "setor"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N4SlrfnIIO-l",
        "outputId": "5d6b3e86-d5bc-401f-ad7e-591a246f4aaa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['PCAR3',\n",
              " 'PFRM3',\n",
              " 'DMVF3',\n",
              " 'CRFB3',\n",
              " 'ASAI3',\n",
              " 'GMAT3',\n",
              " 'BLAU3',\n",
              " 'VVEO3',\n",
              " 'HYPE3',\n",
              " 'PGMN3',\n",
              " 'PNVL3',\n",
              " 'RADL3']"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2.query('index in @setor')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 538
        },
        "id": "j5fIkRMsIeV0",
        "outputId": "d3261708-6e4e-4a39-a921-86b4cb1a479e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Multiples  Cotação    P/L  P/VP    PSR  Div.Yield  P/Ativo  P/Cap.Giro  \\\n",
              "papel                                                                    \n",
              "ASAI3        18.16  15.32  7.40  0.519     0.0069    0.732      -42.66   \n",
              "BLAU3        31.44  18.00  3.28  4.184     0.0253    2.366        4.34   \n",
              "CRFB3        18.43  14.66  1.94  0.446     0.0367    0.489      -13.69   \n",
              "DMVF3         4.70  12.89  0.28  0.181     0.0000    0.164        3.70   \n",
              "GMAT3         6.36  16.14  2.05  0.757     0.0000    1.229        2.98   \n",
              "HYPE3        45.93  21.43  2.85  4.376     0.0268    1.391       10.43   \n",
              "PCAR3        19.37   2.73  0.37  0.111     0.0183    0.113        6.25   \n",
              "PFRM3         4.21   5.46  0.45  0.074     0.0643    0.121        0.57   \n",
              "PGMN3         6.27  21.75  1.28  0.352     0.0000    0.432        2.39   \n",
              "PNVL3        11.98  21.75  1.67  0.503     0.0157    0.719        2.78   \n",
              "RADL3        23.41  47.14  7.71  1.466     0.0107    2.392       11.91   \n",
              "VVEO3        18.15  18.19  2.33  0.746     0.0224    0.734        2.82   \n",
              "\n",
              "Multiples  P/EBIT  P/Ativ Circ.Liq  EV/EBIT  EV/EBITDA  Mrg Ebit  Mrg. Líq.  \\\n",
              "papel                                                                         \n",
              "ASAI3        6.96            -1.25     9.31       7.55    0.0746     0.0339   \n",
              "BLAU3       13.43             5.47    12.28      11.68    0.3115     0.2311   \n",
              "CRFB3        9.11            -1.64    12.36       9.38    0.0489     0.0332   \n",
              "DMVF3        2.35            -1.17     2.05       1.04    0.0770     0.0141   \n",
              "GMAT3       12.81             5.43    14.11      11.10    0.0591     0.0476   \n",
              "HYPE3       13.27            -6.78    16.25      15.23    0.3298     0.2042   \n",
              "PCAR3        1.60            -0.38     2.99       1.88    0.0694     0.0446   \n",
              "PFRM3        1.82             3.51     4.74       3.22    0.0408     0.0147   \n",
              "PGMN3        7.90            -2.76     9.74       5.16    0.0446     0.0162   \n",
              "PNVL3       19.08          -133.54    26.98       9.39    0.0263     0.0231   \n",
              "RADL3       25.67           -17.91    26.70      13.87    0.0571     0.0319   \n",
              "VVEO3       13.63            -6.83    16.86      12.55    0.0547     0.0410   \n",
              "\n",
              "Multiples  Liq. Corr.    ROIC     ROE   Liq.2meses   Patrim. Líq  \\\n",
              "papel                                                              \n",
              "ASAI3            0.95  0.1504  0.4826  172546000.0  3.311000e+09   \n",
              "BLAU3            4.30  0.2926  0.1821   14064700.0  1.720940e+09   \n",
              "CRFB3            0.92  0.0699  0.1327  100779000.0  1.993600e+10   \n",
              "DMVF3            1.19  0.0854  0.0219     492442.0  8.432170e+08   \n",
              "GMAT3            2.98  0.1229  0.1269   41738900.0  6.861070e+09   \n",
              "HYPE3            1.77  0.1153  0.1330  132385000.0  1.020800e+10   \n",
              "PCAR3            1.06  0.0934  0.1341   69151200.0  1.426900e+10   \n",
              "PFRM3            1.46  0.0944  0.0820     936793.0  1.165640e+09   \n",
              "PGMN3            1.55  0.0723  0.0589    7946120.0  2.172580e+09   \n",
              "PNVL3            1.85  0.0465  0.0767    6541200.0  1.079580e+09   \n",
              "RADL3            1.57  0.1276  0.1636  138429000.0  5.014180e+09   \n",
              "VVEO3            1.82  0.0775  0.1279    4376700.0  2.232320e+09   \n",
              "\n",
              "Multiples  Dív.Brut/ Patrim.  Cresc. Rec.5a  \n",
              "papel                                        \n",
              "ASAI3                   3.43         0.6182  \n",
              "BLAU3                   0.18         0.1446  \n",
              "CRFB3                   0.89         0.1406  \n",
              "DMVF3                   0.05         0.2654  \n",
              "GMAT3                   0.34         0.2924  \n",
              "HYPE3                   0.79         0.1717  \n",
              "PCAR3                   0.59        -0.0361  \n",
              "PFRM3                   0.89         0.1491  \n",
              "PGMN3                   0.46         0.0796  \n",
              "PNVL3                   0.81         0.1145  \n",
              "RADL3                   0.47         0.1736  \n",
              "VVEO3                   0.88         0.0000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c3483681-67c6-4d92-97d4-c9b689c6e3f3\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>Multiples</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>EV/EBIT</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",
              "    <tr>\n",
              "      <th>papel</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",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>ASAI3</th>\n",
              "      <td>18.16</td>\n",
              "      <td>15.32</td>\n",
              "      <td>7.40</td>\n",
              "      <td>0.519</td>\n",
              "      <td>0.0069</td>\n",
              "      <td>0.732</td>\n",
              "      <td>-42.66</td>\n",
              "      <td>6.96</td>\n",
              "      <td>-1.25</td>\n",
              "      <td>9.31</td>\n",
              "      <td>7.55</td>\n",
              "      <td>0.0746</td>\n",
              "      <td>0.0339</td>\n",
              "      <td>0.95</td>\n",
              "      <td>0.1504</td>\n",
              "      <td>0.4826</td>\n",
              "      <td>172546000.0</td>\n",
              "      <td>3.311000e+09</td>\n",
              "      <td>3.43</td>\n",
              "      <td>0.6182</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BLAU3</th>\n",
              "      <td>31.44</td>\n",
              "      <td>18.00</td>\n",
              "      <td>3.28</td>\n",
              "      <td>4.184</td>\n",
              "      <td>0.0253</td>\n",
              "      <td>2.366</td>\n",
              "      <td>4.34</td>\n",
              "      <td>13.43</td>\n",
              "      <td>5.47</td>\n",
              "      <td>12.28</td>\n",
              "      <td>11.68</td>\n",
              "      <td>0.3115</td>\n",
              "      <td>0.2311</td>\n",
              "      <td>4.30</td>\n",
              "      <td>0.2926</td>\n",
              "      <td>0.1821</td>\n",
              "      <td>14064700.0</td>\n",
              "      <td>1.720940e+09</td>\n",
              "      <td>0.18</td>\n",
              "      <td>0.1446</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CRFB3</th>\n",
              "      <td>18.43</td>\n",
              "      <td>14.66</td>\n",
              "      <td>1.94</td>\n",
              "      <td>0.446</td>\n",
              "      <td>0.0367</td>\n",
              "      <td>0.489</td>\n",
              "      <td>-13.69</td>\n",
              "      <td>9.11</td>\n",
              "      <td>-1.64</td>\n",
              "      <td>12.36</td>\n",
              "      <td>9.38</td>\n",
              "      <td>0.0489</td>\n",
              "      <td>0.0332</td>\n",
              "      <td>0.92</td>\n",
              "      <td>0.0699</td>\n",
              "      <td>0.1327</td>\n",
              "      <td>100779000.0</td>\n",
              "      <td>1.993600e+10</td>\n",
              "      <td>0.89</td>\n",
              "      <td>0.1406</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DMVF3</th>\n",
              "      <td>4.70</td>\n",
              "      <td>12.89</td>\n",
              "      <td>0.28</td>\n",
              "      <td>0.181</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.164</td>\n",
              "      <td>3.70</td>\n",
              "      <td>2.35</td>\n",
              "      <td>-1.17</td>\n",
              "      <td>2.05</td>\n",
              "      <td>1.04</td>\n",
              "      <td>0.0770</td>\n",
              "      <td>0.0141</td>\n",
              "      <td>1.19</td>\n",
              "      <td>0.0854</td>\n",
              "      <td>0.0219</td>\n",
              "      <td>492442.0</td>\n",
              "      <td>8.432170e+08</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.2654</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GMAT3</th>\n",
              "      <td>6.36</td>\n",
              "      <td>16.14</td>\n",
              "      <td>2.05</td>\n",
              "      <td>0.757</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.229</td>\n",
              "      <td>2.98</td>\n",
              "      <td>12.81</td>\n",
              "      <td>5.43</td>\n",
              "      <td>14.11</td>\n",
              "      <td>11.10</td>\n",
              "      <td>0.0591</td>\n",
              "      <td>0.0476</td>\n",
              "      <td>2.98</td>\n",
              "      <td>0.1229</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>41738900.0</td>\n",
              "      <td>6.861070e+09</td>\n",
              "      <td>0.34</td>\n",
              "      <td>0.2924</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HYPE3</th>\n",
              "      <td>45.93</td>\n",
              "      <td>21.43</td>\n",
              "      <td>2.85</td>\n",
              "      <td>4.376</td>\n",
              "      <td>0.0268</td>\n",
              "      <td>1.391</td>\n",
              "      <td>10.43</td>\n",
              "      <td>13.27</td>\n",
              "      <td>-6.78</td>\n",
              "      <td>16.25</td>\n",
              "      <td>15.23</td>\n",
              "      <td>0.3298</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>1.77</td>\n",
              "      <td>0.1153</td>\n",
              "      <td>0.1330</td>\n",
              "      <td>132385000.0</td>\n",
              "      <td>1.020800e+10</td>\n",
              "      <td>0.79</td>\n",
              "      <td>0.1717</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PCAR3</th>\n",
              "      <td>19.37</td>\n",
              "      <td>2.73</td>\n",
              "      <td>0.37</td>\n",
              "      <td>0.111</td>\n",
              "      <td>0.0183</td>\n",
              "      <td>0.113</td>\n",
              "      <td>6.25</td>\n",
              "      <td>1.60</td>\n",
              "      <td>-0.38</td>\n",
              "      <td>2.99</td>\n",
              "      <td>1.88</td>\n",
              "      <td>0.0694</td>\n",
              "      <td>0.0446</td>\n",
              "      <td>1.06</td>\n",
              "      <td>0.0934</td>\n",
              "      <td>0.1341</td>\n",
              "      <td>69151200.0</td>\n",
              "      <td>1.426900e+10</td>\n",
              "      <td>0.59</td>\n",
              "      <td>-0.0361</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PFRM3</th>\n",
              "      <td>4.21</td>\n",
              "      <td>5.46</td>\n",
              "      <td>0.45</td>\n",
              "      <td>0.074</td>\n",
              "      <td>0.0643</td>\n",
              "      <td>0.121</td>\n",
              "      <td>0.57</td>\n",
              "      <td>1.82</td>\n",
              "      <td>3.51</td>\n",
              "      <td>4.74</td>\n",
              "      <td>3.22</td>\n",
              "      <td>0.0408</td>\n",
              "      <td>0.0147</td>\n",
              "      <td>1.46</td>\n",
              "      <td>0.0944</td>\n",
              "      <td>0.0820</td>\n",
              "      <td>936793.0</td>\n",
              "      <td>1.165640e+09</td>\n",
              "      <td>0.89</td>\n",
              "      <td>0.1491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PGMN3</th>\n",
              "      <td>6.27</td>\n",
              "      <td>21.75</td>\n",
              "      <td>1.28</td>\n",
              "      <td>0.352</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.432</td>\n",
              "      <td>2.39</td>\n",
              "      <td>7.90</td>\n",
              "      <td>-2.76</td>\n",
              "      <td>9.74</td>\n",
              "      <td>5.16</td>\n",
              "      <td>0.0446</td>\n",
              "      <td>0.0162</td>\n",
              "      <td>1.55</td>\n",
              "      <td>0.0723</td>\n",
              "      <td>0.0589</td>\n",
              "      <td>7946120.0</td>\n",
              "      <td>2.172580e+09</td>\n",
              "      <td>0.46</td>\n",
              "      <td>0.0796</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PNVL3</th>\n",
              "      <td>11.98</td>\n",
              "      <td>21.75</td>\n",
              "      <td>1.67</td>\n",
              "      <td>0.503</td>\n",
              "      <td>0.0157</td>\n",
              "      <td>0.719</td>\n",
              "      <td>2.78</td>\n",
              "      <td>19.08</td>\n",
              "      <td>-133.54</td>\n",
              "      <td>26.98</td>\n",
              "      <td>9.39</td>\n",
              "      <td>0.0263</td>\n",
              "      <td>0.0231</td>\n",
              "      <td>1.85</td>\n",
              "      <td>0.0465</td>\n",
              "      <td>0.0767</td>\n",
              "      <td>6541200.0</td>\n",
              "      <td>1.079580e+09</td>\n",
              "      <td>0.81</td>\n",
              "      <td>0.1145</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RADL3</th>\n",
              "      <td>23.41</td>\n",
              "      <td>47.14</td>\n",
              "      <td>7.71</td>\n",
              "      <td>1.466</td>\n",
              "      <td>0.0107</td>\n",
              "      <td>2.392</td>\n",
              "      <td>11.91</td>\n",
              "      <td>25.67</td>\n",
              "      <td>-17.91</td>\n",
              "      <td>26.70</td>\n",
              "      <td>13.87</td>\n",
              "      <td>0.0571</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>1.57</td>\n",
              "      <td>0.1276</td>\n",
              "      <td>0.1636</td>\n",
              "      <td>138429000.0</td>\n",
              "      <td>5.014180e+09</td>\n",
              "      <td>0.47</td>\n",
              "      <td>0.1736</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VVEO3</th>\n",
              "      <td>18.15</td>\n",
              "      <td>18.19</td>\n",
              "      <td>2.33</td>\n",
              "      <td>0.746</td>\n",
              "      <td>0.0224</td>\n",
              "      <td>0.734</td>\n",
              "      <td>2.82</td>\n",
              "      <td>13.63</td>\n",
              "      <td>-6.83</td>\n",
              "      <td>16.86</td>\n",
              "      <td>12.55</td>\n",
              "      <td>0.0547</td>\n",
              "      <td>0.0410</td>\n",
              "      <td>1.82</td>\n",
              "      <td>0.0775</td>\n",
              "      <td>0.1279</td>\n",
              "      <td>4376700.0</td>\n",
              "      <td>2.232320e+09</td>\n",
              "      <td>0.88</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c3483681-67c6-4d92-97d4-c9b689c6e3f3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-c3483681-67c6-4d92-97d4-c9b689c6e3f3 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c3483681-67c6-4d92-97d4-c9b689c6e3f3');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        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)"
      ],
      "metadata": {
        "id": "qPwpNx4qJH0Z"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Indicadores de Lucratividade / Operacionais\n",
        "\n",
        "1) Margem EBIT \n",
        "\n",
        "2) Margem Líquida \n",
        "\n",
        "3) ROIC \n",
        "\n",
        "4) ROE \n",
        "\n",
        "5) Dividend Yeld \n",
        "\n",
        "6)CAGR - Crescimento de receita dos últimos 5 anos"
      ],
      "metadata": {
        "id": "L4avu6xVI0nw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.query('index in @setor').loc[:,['mrgebit','mrgliq', 'roic', 'roe', 'dy', 'c5y']]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 457
        },
        "id": "cmJUVJoUIq_k",
        "outputId": "53766038-54f9-45d1-a7e1-29c48319d1c8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Multiples  mrgebit  mrgliq    roic     roe      dy     c5y\n",
              "papel                                                     \n",
              "ASAI3       0.0746  0.0339  0.1504  0.4826  0.0069  0.6182\n",
              "BLAU3       0.3115  0.2311  0.2926  0.1821  0.0253  0.1446\n",
              "CRFB3       0.0489  0.0332  0.0699  0.1327  0.0367  0.1406\n",
              "DMVF3       0.0770  0.0141  0.0854  0.0219  0.0000  0.2654\n",
              "GMAT3       0.0591  0.0476  0.1229  0.1269  0.0000  0.2924\n",
              "HYPE3       0.3298  0.2042  0.1153  0.1330  0.0268  0.1717\n",
              "PCAR3       0.0694  0.0446  0.0934  0.1341  0.0183 -0.0361\n",
              "PFRM3       0.0408  0.0147  0.0944  0.0820  0.0643  0.1491\n",
              "PGMN3       0.0446  0.0162  0.0723  0.0589  0.0000  0.0796\n",
              "PNVL3       0.0263  0.0231  0.0465  0.0767  0.0157  0.1145\n",
              "RADL3       0.0571  0.0319  0.1276  0.1636  0.0107  0.1736\n",
              "VVEO3       0.0547  0.0410  0.0775  0.1279  0.0224  0.0000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b0ebc4ef-cc4e-4116-a039-cc1d1a0084d7\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Multiples</th>\n",
              "      <th>mrgebit</th>\n",
              "      <th>mrgliq</th>\n",
              "      <th>roic</th>\n",
              "      <th>roe</th>\n",
              "      <th>dy</th>\n",
              "      <th>c5y</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>papel</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>ASAI3</th>\n",
              "      <td>0.0746</td>\n",
              "      <td>0.0339</td>\n",
              "      <td>0.1504</td>\n",
              "      <td>0.4826</td>\n",
              "      <td>0.0069</td>\n",
              "      <td>0.6182</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BLAU3</th>\n",
              "      <td>0.3115</td>\n",
              "      <td>0.2311</td>\n",
              "      <td>0.2926</td>\n",
              "      <td>0.1821</td>\n",
              "      <td>0.0253</td>\n",
              "      <td>0.1446</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CRFB3</th>\n",
              "      <td>0.0489</td>\n",
              "      <td>0.0332</td>\n",
              "      <td>0.0699</td>\n",
              "      <td>0.1327</td>\n",
              "      <td>0.0367</td>\n",
              "      <td>0.1406</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DMVF3</th>\n",
              "      <td>0.0770</td>\n",
              "      <td>0.0141</td>\n",
              "      <td>0.0854</td>\n",
              "      <td>0.0219</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.2654</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GMAT3</th>\n",
              "      <td>0.0591</td>\n",
              "      <td>0.0476</td>\n",
              "      <td>0.1229</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.2924</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HYPE3</th>\n",
              "      <td>0.3298</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1153</td>\n",
              "      <td>0.1330</td>\n",
              "      <td>0.0268</td>\n",
              "      <td>0.1717</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PCAR3</th>\n",
              "      <td>0.0694</td>\n",
              "      <td>0.0446</td>\n",
              "      <td>0.0934</td>\n",
              "      <td>0.1341</td>\n",
              "      <td>0.0183</td>\n",
              "      <td>-0.0361</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PFRM3</th>\n",
              "      <td>0.0408</td>\n",
              "      <td>0.0147</td>\n",
              "      <td>0.0944</td>\n",
              "      <td>0.0820</td>\n",
              "      <td>0.0643</td>\n",
              "      <td>0.1491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PGMN3</th>\n",
              "      <td>0.0446</td>\n",
              "      <td>0.0162</td>\n",
              "      <td>0.0723</td>\n",
              "      <td>0.0589</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0796</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PNVL3</th>\n",
              "      <td>0.0263</td>\n",
              "      <td>0.0231</td>\n",
              "      <td>0.0465</td>\n",
              "      <td>0.0767</td>\n",
              "      <td>0.0157</td>\n",
              "      <td>0.1145</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RADL3</th>\n",
              "      <td>0.0571</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.1276</td>\n",
              "      <td>0.1636</td>\n",
              "      <td>0.0107</td>\n",
              "      <td>0.1736</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VVEO3</th>\n",
              "      <td>0.0547</td>\n",
              "      <td>0.0410</td>\n",
              "      <td>0.0775</td>\n",
              "      <td>0.1279</td>\n",
              "      <td>0.0224</td>\n",
              "      <td>0.0000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b0ebc4ef-cc4e-4116-a039-cc1d1a0084d7')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b0ebc4ef-cc4e-4116-a039-cc1d1a0084d7 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b0ebc4ef-cc4e-4116-a039-cc1d1a0084d7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ind_luc = df.query('index in @setor').loc[:,['mrgebit','mrgliq', 'roic', 'roe', 'dy', 'c5y']]"
      ],
      "metadata": {
        "id": "IPz2OTq-NxjZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Indicadores de Preço & Valor\n",
        "\n",
        "1)P/L \n",
        "\n",
        "2)P/VPA = Preço Ação/(PL/N ações)\n",
        "\n",
        "3)EV/EBIT = EV - MarketCap + (div bruta - caixa)\n",
        " \n",
        "4)EV/EBITDA"
      ],
      "metadata": {
        "id": "e3pjVQOaN_Rl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ind_valor = df.query('index in @setor').loc[:,['pl', 'pvp', 'evebit', 'evebitda']]\n",
        "ind_valor"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 457
        },
        "id": "s4vlt20BN5dh",
        "outputId": "68f3f9ac-0860-45b9-b626-faf3492c13bd"
      },
      "execution_count": null,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "Multiples     pl   pvp  evebit  evebitda\n",
              "papel                                   \n",
              "ASAI3      15.32  7.40    9.31      7.55\n",
              "BLAU3      18.00  3.28   12.28     11.68\n",
              "CRFB3      14.66  1.94   12.36      9.38\n",
              "DMVF3      12.89  0.28    2.05      1.04\n",
              "GMAT3      16.14  2.05   14.11     11.10\n",
              "HYPE3      21.43  2.85   16.25     15.23\n",
              "PCAR3       2.73  0.37    2.99      1.88\n",
              "PFRM3       5.46  0.45    4.74      3.22\n",
              "PGMN3      21.75  1.28    9.74      5.16\n",
              "PNVL3      21.75  1.67   26.98      9.39\n",
              "RADL3      47.14  7.71   26.70     13.87\n",
              "VVEO3      18.19  2.33   16.86     12.55"
            ],
            "text/html": [
              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>Multiples</th>\n",
              "      <th>pl</th>\n",
              "      <th>pvp</th>\n",
              "      <th>evebit</th>\n",
              "      <th>evebitda</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>papel</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>ASAI3</th>\n",
              "      <td>15.32</td>\n",
              "      <td>7.40</td>\n",
              "      <td>9.31</td>\n",
              "      <td>7.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BLAU3</th>\n",
              "      <td>18.00</td>\n",
              "      <td>3.28</td>\n",
              "      <td>12.28</td>\n",
              "      <td>11.68</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CRFB3</th>\n",
              "      <td>14.66</td>\n",
              "      <td>1.94</td>\n",
              "      <td>12.36</td>\n",
              "      <td>9.38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DMVF3</th>\n",
              "      <td>12.89</td>\n",
              "      <td>0.28</td>\n",
              "      <td>2.05</td>\n",
              "      <td>1.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GMAT3</th>\n",
              "      <td>16.14</td>\n",
              "      <td>2.05</td>\n",
              "      <td>14.11</td>\n",
              "      <td>11.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HYPE3</th>\n",
              "      <td>21.43</td>\n",
              "      <td>2.85</td>\n",
              "      <td>16.25</td>\n",
              "      <td>15.23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PCAR3</th>\n",
              "      <td>2.73</td>\n",
              "      <td>0.37</td>\n",
              "      <td>2.99</td>\n",
              "      <td>1.88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PFRM3</th>\n",
              "      <td>5.46</td>\n",
              "      <td>0.45</td>\n",
              "      <td>4.74</td>\n",
              "      <td>3.22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PGMN3</th>\n",
              "      <td>21.75</td>\n",
              "      <td>1.28</td>\n",
              "      <td>9.74</td>\n",
              "      <td>5.16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PNVL3</th>\n",
              "      <td>21.75</td>\n",
              "      <td>1.67</td>\n",
              "      <td>26.98</td>\n",
              "      <td>9.39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RADL3</th>\n",
              "      <td>47.14</td>\n",
              "      <td>7.71</td>\n",
              "      <td>26.70</td>\n",
              "      <td>13.87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VVEO3</th>\n",
              "      <td>18.19</td>\n",
              "      <td>2.33</td>\n",
              "      <td>16.86</td>\n",
              "      <td>12.55</td>\n",
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              "  </tbody>\n",
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              "\n",
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              "\n",
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              "  </style>\n",
              "\n",
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              "\n",
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              "          const element = document.querySelector('#df-e31df3b1-0a39-4b17-945c-84f61528f849');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Indicador de liquidez\n",
        "\n",
        "- Liquidez_Corrente = Ativo Circulante/Passivo Circulante"
      ],
      "metadata": {
        "id": "N45XzEBlQfow"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ind_liq = df2.query('index in @setor').loc[:,['Liq. Corr.']]"
      ],
      "metadata": {
        "id": "6gNlhw6hQcYw"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Endividamento\n",
        "\n",
        "- Divida Bruta/Patrimonio Liquido "
      ],
      "metadata": {
        "id": "zep3_upeRqOr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "end = df.query('index in @setor').loc[:,['divbpatr']]\n",
        "end"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 457
        },
        "id": "WWLVRk0FRmwH",
        "outputId": "22d235fb-676c-4046-e80e-100fac7877ec"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Multiples  divbpatr\n",
              "papel              \n",
              "ASAI3          3.43\n",
              "BLAU3          0.18\n",
              "CRFB3          0.89\n",
              "DMVF3          0.05\n",
              "GMAT3          0.34\n",
              "HYPE3          0.79\n",
              "PCAR3          0.59\n",
              "PFRM3          0.89\n",
              "PGMN3          0.46\n",
              "PNVL3          0.81\n",
              "RADL3          0.47\n",
              "VVEO3          0.88"
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              "      <th>Multiples</th>\n",
              "      <th>divbpatr</th>\n",
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              "      <th>papel</th>\n",
              "      <th></th>\n",
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              "      <th>ASAI3</th>\n",
              "      <td>3.43</td>\n",
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              "    <tr>\n",
              "      <th>BLAU3</th>\n",
              "      <td>0.18</td>\n",
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              "      <th>CRFB3</th>\n",
              "      <td>0.89</td>\n",
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              "      <th>DMVF3</th>\n",
              "      <td>0.05</td>\n",
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              "      <th>GMAT3</th>\n",
              "      <td>0.34</td>\n",
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              "      <th>HYPE3</th>\n",
              "      <td>0.79</td>\n",
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              "      <th>PCAR3</th>\n",
              "      <td>0.59</td>\n",
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              "      <th>PFRM3</th>\n",
              "      <td>0.89</td>\n",
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              "      <th>PGMN3</th>\n",
              "      <td>0.46</td>\n",
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              "      <td>0.81</td>\n",
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              "      <th>RADL3</th>\n",
              "      <td>0.47</td>\n",
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              "    <tr>\n",
              "      <th>VVEO3</th>\n",
              "      <td>0.88</td>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Informações da empresa"
      ],
      "metadata": {
        "id": "lPLa0R4HSblm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ativo = yf.Ticker('RADL3.SA')"
      ],
      "metadata": {
        "id": "m3qD2MhLSVRe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ativo.earnings"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "qszJAAZOSs33",
        "outputId": "80dd5232-58c9-4fa6-f7f2-c362de0b58d5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          Revenue   Earnings\n",
              "Year                        \n",
              "2018  14801445000  502447000\n",
              "2019  17565600000  772240000\n",
              "2020  20066840000  484444000\n",
              "2021  24127002000  751934000"
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              "      <th>2018</th>\n",
              "      <td>14801445000</td>\n",
              "      <td>502447000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019</th>\n",
              "      <td>17565600000</td>\n",
              "      <td>772240000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020</th>\n",
              "      <td>20066840000</td>\n",
              "      <td>484444000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021</th>\n",
              "      <td>24127002000</td>\n",
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              "                                                     [key], {});\n",
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              "\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  "
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          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "receitas = ativo.earnings\n",
        "receitas = receitas/1000\n",
        "receitas"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "NMd5h2V_SwnP",
        "outputId": "e9df2df4-510c-49db-c355-944fe6f6b63b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Revenue  Earnings\n",
              "Year                      \n",
              "2018  14801445.0  502447.0\n",
              "2019  17565600.0  772240.0\n",
              "2020  20066840.0  484444.0\n",
              "2021  24127002.0  751934.0"
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              "      <td>14801445.0</td>\n",
              "      <td>502447.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019</th>\n",
              "      <td>17565600.0</td>\n",
              "      <td>772240.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020</th>\n",
              "      <td>20066840.0</td>\n",
              "      <td>484444.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021</th>\n",
              "      <td>24127002.0</td>\n",
              "      <td>751934.0</td>\n",
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              "                                                     [key], {});\n",
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              "\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Campos confiáveis para esse ativo\n",
        "#Net Income - Lucro Líquido\n",
        "#Income Before Tax - Lucro antes do imposto de renda\n",
        "#Selling General Administrative (SG&A) Despesas Operacionais\n",
        "#Gross Profit - Lucro Bruto\n",
        "#Income Tax Expense - Lucro antes do imposto de renda \n",
        "#Total Revenue - Total de Receita\n",
        "#Cost Of Revenue - Custo da Receita\n",
        "\n",
        "dre = ativo.get_financials(freq='quarterly')\n",
        "dre"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 739
        },
        "id": "TkSgIIV9S5rW",
        "outputId": "0b1d1c1c-9394-4b43-f703-e2853de59e49"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                          2022-06-30    2022-03-31  \\\n",
              "Research Development                            None          None   \n",
              "Effect Of Accounting Charges                    None          None   \n",
              "Income Before Tax                        487708000.0   140434000.0   \n",
              "Minority Interest                         51273000.0    43544000.0   \n",
              "Net Income                               354835000.0   140640000.0   \n",
              "Selling General Administrative          1716566000.0  1665280000.0   \n",
              "Gross Profit                            2318097000.0  1928437000.0   \n",
              "Ebit                                     658224000.0   277498000.0   \n",
              "Operating Income                         658224000.0   277498000.0   \n",
              "Other Operating Expenses                 -56693000.0   -14341000.0   \n",
              "Interest Expense                        -119943000.0  -108847000.0   \n",
              "Extraordinary Items                             None          None   \n",
              "Non Recurring                                   None          None   \n",
              "Other Items                                     None          None   \n",
              "Income Tax Expense                       124221000.0    -3475000.0   \n",
              "Total Revenue                           7178761000.0  6562510000.0   \n",
              "Total Operating Expenses                6520537000.0  6285012000.0   \n",
              "Cost Of Revenue                         4860664000.0  4634073000.0   \n",
              "Total Other Income Expense Net          -170516000.0  -137064000.0   \n",
              "Discontinued Operations                         None          None   \n",
              "Net Income From Continuing Ops           363487000.0   143909000.0   \n",
              "Net Income Applicable To Common Shares   354835000.0   140640000.0   \n",
              "\n",
              "                                          2021-12-31    2021-09-30  \n",
              "Research Development                            None          None  \n",
              "Effect Of Accounting Charges                    None          None  \n",
              "Income Before Tax                        164926000.0   225516000.0  \n",
              "Minority Interest                         41129000.0    35375000.0  \n",
              "Net Income                               170351000.0   154532000.0  \n",
              "Selling General Administrative          1634658000.0  1490728000.0  \n",
              "Gross Profit                            1951804000.0  1815461000.0  \n",
              "Ebit                                     317146000.0   324733000.0  \n",
              "Operating Income                         317146000.0   324733000.0  \n",
              "Other Operating Expenses                 -14341000.0   -14341000.0  \n",
              "Interest Expense                         -92655000.0   -83045000.0  \n",
              "Extraordinary Items                             None          None  \n",
              "Non Recurring                                   None          None  \n",
              "Other Items                                     None          None  \n",
              "Income Tax Expense                       -10718000.0    67037000.0  \n",
              "Total Revenue                           6473824000.0  6164862000.0  \n",
              "Total Operating Expenses                6156678000.0  5840129000.0  \n",
              "Cost Of Revenue                         4522020000.0  4349401000.0  \n",
              "Total Other Income Expense Net          -152220000.0   -99217000.0  \n",
              "Discontinued Operations                         None          None  \n",
              "Net Income From Continuing Ops           175644000.0   158479000.0  \n",
              "Net Income Applicable To Common Shares   170351000.0   154532000.0  "
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              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Income Before Tax</th>\n",
              "      <td>487708000.0</td>\n",
              "      <td>140434000.0</td>\n",
              "      <td>164926000.0</td>\n",
              "      <td>225516000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Minority Interest</th>\n",
              "      <td>51273000.0</td>\n",
              "      <td>43544000.0</td>\n",
              "      <td>41129000.0</td>\n",
              "      <td>35375000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Income</th>\n",
              "      <td>354835000.0</td>\n",
              "      <td>140640000.0</td>\n",
              "      <td>170351000.0</td>\n",
              "      <td>154532000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Selling General Administrative</th>\n",
              "      <td>1716566000.0</td>\n",
              "      <td>1665280000.0</td>\n",
              "      <td>1634658000.0</td>\n",
              "      <td>1490728000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gross Profit</th>\n",
              "      <td>2318097000.0</td>\n",
              "      <td>1928437000.0</td>\n",
              "      <td>1951804000.0</td>\n",
              "      <td>1815461000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ebit</th>\n",
              "      <td>658224000.0</td>\n",
              "      <td>277498000.0</td>\n",
              "      <td>317146000.0</td>\n",
              "      <td>324733000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Operating Income</th>\n",
              "      <td>658224000.0</td>\n",
              "      <td>277498000.0</td>\n",
              "      <td>317146000.0</td>\n",
              "      <td>324733000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Operating Expenses</th>\n",
              "      <td>-56693000.0</td>\n",
              "      <td>-14341000.0</td>\n",
              "      <td>-14341000.0</td>\n",
              "      <td>-14341000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Interest Expense</th>\n",
              "      <td>-119943000.0</td>\n",
              "      <td>-108847000.0</td>\n",
              "      <td>-92655000.0</td>\n",
              "      <td>-83045000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Extraordinary Items</th>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Non Recurring</th>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Items</th>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Income Tax Expense</th>\n",
              "      <td>124221000.0</td>\n",
              "      <td>-3475000.0</td>\n",
              "      <td>-10718000.0</td>\n",
              "      <td>67037000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Revenue</th>\n",
              "      <td>7178761000.0</td>\n",
              "      <td>6562510000.0</td>\n",
              "      <td>6473824000.0</td>\n",
              "      <td>6164862000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Operating Expenses</th>\n",
              "      <td>6520537000.0</td>\n",
              "      <td>6285012000.0</td>\n",
              "      <td>6156678000.0</td>\n",
              "      <td>5840129000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cost Of Revenue</th>\n",
              "      <td>4860664000.0</td>\n",
              "      <td>4634073000.0</td>\n",
              "      <td>4522020000.0</td>\n",
              "      <td>4349401000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Other Income Expense Net</th>\n",
              "      <td>-170516000.0</td>\n",
              "      <td>-137064000.0</td>\n",
              "      <td>-152220000.0</td>\n",
              "      <td>-99217000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Discontinued Operations</th>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Income From Continuing Ops</th>\n",
              "      <td>363487000.0</td>\n",
              "      <td>143909000.0</td>\n",
              "      <td>175644000.0</td>\n",
              "      <td>158479000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Income Applicable To Common Shares</th>\n",
              "      <td>354835000.0</td>\n",
              "      <td>140640000.0</td>\n",
              "      <td>170351000.0</td>\n",
              "      <td>154532000.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c9bcebab-1b3a-46d0-aa3f-463fd0d859e3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "      \n",
              "  <style>\n",
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              "\n",
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              "      border: none;\n",
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              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
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              "\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-c9bcebab-1b3a-46d0-aa3f-463fd0d859e3 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c9bcebab-1b3a-46d0-aa3f-463fd0d859e3');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dre = pd.DataFrame(dre)\n",
        "dre = dre/1000\n",
        "dre = dre[dre.columns[::-1]]\n",
        "dre"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 739
        },
        "id": "P31AXf9uTAvl",
        "outputId": "986cc8b0-1b65-4e11-ddfb-1aa82d82b388"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                       2021-09-30 2021-12-31 2022-03-31  \\\n",
              "Research Development                          NaN        NaN        NaN   \n",
              "Effect Of Accounting Charges                  NaN        NaN        NaN   \n",
              "Income Before Tax                        225516.0   164926.0   140434.0   \n",
              "Minority Interest                         35375.0    41129.0    43544.0   \n",
              "Net Income                               154532.0   170351.0   140640.0   \n",
              "Selling General Administrative          1490728.0  1634658.0  1665280.0   \n",
              "Gross Profit                            1815461.0  1951804.0  1928437.0   \n",
              "Ebit                                     324733.0   317146.0   277498.0   \n",
              "Operating Income                         324733.0   317146.0   277498.0   \n",
              "Other Operating Expenses                 -14341.0   -14341.0   -14341.0   \n",
              "Interest Expense                         -83045.0   -92655.0  -108847.0   \n",
              "Extraordinary Items                           NaN        NaN        NaN   \n",
              "Non Recurring                                 NaN        NaN        NaN   \n",
              "Other Items                                   NaN        NaN        NaN   \n",
              "Income Tax Expense                        67037.0   -10718.0    -3475.0   \n",
              "Total Revenue                           6164862.0  6473824.0  6562510.0   \n",
              "Total Operating Expenses                5840129.0  6156678.0  6285012.0   \n",
              "Cost Of Revenue                         4349401.0  4522020.0  4634073.0   \n",
              "Total Other Income Expense Net           -99217.0  -152220.0  -137064.0   \n",
              "Discontinued Operations                       NaN        NaN        NaN   \n",
              "Net Income From Continuing Ops           158479.0   175644.0   143909.0   \n",
              "Net Income Applicable To Common Shares   154532.0   170351.0   140640.0   \n",
              "\n",
              "                                       2022-06-30  \n",
              "Research Development                          NaN  \n",
              "Effect Of Accounting Charges                  NaN  \n",
              "Income Before Tax                        487708.0  \n",
              "Minority Interest                         51273.0  \n",
              "Net Income                               354835.0  \n",
              "Selling General Administrative          1716566.0  \n",
              "Gross Profit                            2318097.0  \n",
              "Ebit                                     658224.0  \n",
              "Operating Income                         658224.0  \n",
              "Other Operating Expenses                 -56693.0  \n",
              "Interest Expense                        -119943.0  \n",
              "Extraordinary Items                           NaN  \n",
              "Non Recurring                                 NaN  \n",
              "Other Items                                   NaN  \n",
              "Income Tax Expense                       124221.0  \n",
              "Total Revenue                           7178761.0  \n",
              "Total Operating Expenses                6520537.0  \n",
              "Cost Of Revenue                         4860664.0  \n",
              "Total Other Income Expense Net          -170516.0  \n",
              "Discontinued Operations                       NaN  \n",
              "Net Income From Continuing Ops           363487.0  \n",
              "Net Income Applicable To Common Shares   354835.0  "
            ],
            "text/html": [
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              "      <th></th>\n",
              "      <th>2021-09-30</th>\n",
              "      <th>2021-12-31</th>\n",
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              "      <th>2022-06-30</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>Research Development</th>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <th>Effect Of Accounting Charges</th>\n",
              "      <td>NaN</td>\n",
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              "      <th>Income Before Tax</th>\n",
              "      <td>225516.0</td>\n",
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              "      <td>487708.0</td>\n",
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              "      <td>35375.0</td>\n",
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              "      <td>51273.0</td>\n",
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              "      <td>140640.0</td>\n",
              "      <td>354835.0</td>\n",
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              "      <th>Selling General Administrative</th>\n",
              "      <td>1490728.0</td>\n",
              "      <td>1634658.0</td>\n",
              "      <td>1665280.0</td>\n",
              "      <td>1716566.0</td>\n",
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              "    <tr>\n",
              "      <th>Gross Profit</th>\n",
              "      <td>1815461.0</td>\n",
              "      <td>1951804.0</td>\n",
              "      <td>1928437.0</td>\n",
              "      <td>2318097.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ebit</th>\n",
              "      <td>324733.0</td>\n",
              "      <td>317146.0</td>\n",
              "      <td>277498.0</td>\n",
              "      <td>658224.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Operating Income</th>\n",
              "      <td>324733.0</td>\n",
              "      <td>317146.0</td>\n",
              "      <td>277498.0</td>\n",
              "      <td>658224.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Operating Expenses</th>\n",
              "      <td>-14341.0</td>\n",
              "      <td>-14341.0</td>\n",
              "      <td>-14341.0</td>\n",
              "      <td>-56693.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Interest Expense</th>\n",
              "      <td>-83045.0</td>\n",
              "      <td>-92655.0</td>\n",
              "      <td>-108847.0</td>\n",
              "      <td>-119943.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Extraordinary Items</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>Non Recurring</th>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>Income Tax Expense</th>\n",
              "      <td>67037.0</td>\n",
              "      <td>-10718.0</td>\n",
              "      <td>-3475.0</td>\n",
              "      <td>124221.0</td>\n",
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              "      <th>Total Revenue</th>\n",
              "      <td>6164862.0</td>\n",
              "      <td>6473824.0</td>\n",
              "      <td>6562510.0</td>\n",
              "      <td>7178761.0</td>\n",
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              "    <tr>\n",
              "      <th>Total Operating Expenses</th>\n",
              "      <td>5840129.0</td>\n",
              "      <td>6156678.0</td>\n",
              "      <td>6285012.0</td>\n",
              "      <td>6520537.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cost Of Revenue</th>\n",
              "      <td>4349401.0</td>\n",
              "      <td>4522020.0</td>\n",
              "      <td>4634073.0</td>\n",
              "      <td>4860664.0</td>\n",
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              "    <tr>\n",
              "      <th>Total Other Income Expense Net</th>\n",
              "      <td>-99217.0</td>\n",
              "      <td>-152220.0</td>\n",
              "      <td>-137064.0</td>\n",
              "      <td>-170516.0</td>\n",
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              "      <th>Discontinued Operations</th>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>Net Income From Continuing Ops</th>\n",
              "      <td>158479.0</td>\n",
              "      <td>175644.0</td>\n",
              "      <td>143909.0</td>\n",
              "      <td>363487.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Income Applicable To Common Shares</th>\n",
              "      <td>154532.0</td>\n",
              "      <td>170351.0</td>\n",
              "      <td>140640.0</td>\n",
              "      <td>354835.0</td>\n",
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              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f444ed37-b010-44c3-82be-8b17c850f4f3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "        \n",
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              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f444ed37-b010-44c3-82be-8b17c850f4f3');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Balanço"
      ],
      "metadata": {
        "id": "MsNDrp2wsvzD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "bal = ativo.get_balance_sheet(freq='yearly')\n",
        "bal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 896
        },
        "id": "pASQJvoLTWSO",
        "outputId": "3788a4ef-49ad-4c68-e412-70d466af552d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                2021-12-31    2020-12-31  \\\n",
              "Intangible Assets                             5.264830e+08  4.361740e+08   \n",
              "Capital Surplus                               1.355650e+08  1.369130e+08   \n",
              "Total Liab                                    1.005670e+10  9.402467e+09   \n",
              "Total Stockholder Equity                      4.677673e+09  4.363126e+09   \n",
              "Minority Interest                             4.112900e+07  6.249500e+07   \n",
              "Other Current Liab                            3.518180e+08  2.188850e+08   \n",
              "Total Assets                                  1.477551e+10  1.382809e+10   \n",
              "Common Stock                                  2.500000e+09  2.500000e+09   \n",
              "Other Current Assets                          2.908140e+08  2.610220e+08   \n",
              "Retained Earnings                             2.072984e+09  1.733650e+09   \n",
              "Other Liab                                    2.953920e+08  5.513070e+08   \n",
              "Good Will                                     9.597680e+08  8.255350e+08   \n",
              "Gains Losses Not Affecting Retained Earnings -3.087600e+07 -7.437000e+06   \n",
              "Other Assets                                  2.399140e+08  5.254240e+08   \n",
              "Cash                                          3.561180e+08  8.803570e+08   \n",
              "Total Current Liabilities                     5.896193e+09  4.801303e+09   \n",
              "Deferred Long Term Asset Charges              4.904700e+07  3.626100e+07   \n",
              "Short Long Term Debt                          6.138310e+08  5.312040e+08   \n",
              "Other Stockholder Equity                      6.111800e+07  1.884700e+07   \n",
              "Property Plant Equipment                      5.329587e+09  5.020465e+09   \n",
              "Total Current Assets                          7.718924e+09  7.020490e+09   \n",
              "Long Term Investments                         8.300000e+05           NaN   \n",
              "Net Tangible Assets                           3.191422e+09  3.101417e+09   \n",
              "Net Receivables                               1.905834e+09  1.616965e+09   \n",
              "Long Term Debt                                8.913910e+08  1.122250e+09   \n",
              "Inventory                                     5.117799e+09  4.225408e+09   \n",
              "Accounts Payable                              3.656607e+09  3.106938e+09   \n",
              "\n",
              "                                                2019-12-31    2018-12-31  \n",
              "Intangible Assets                             4.199060e+08  3.768530e+08  \n",
              "Capital Surplus                               1.357390e+08  1.376990e+08  \n",
              "Total Liab                                    8.171836e+09  3.817238e+09  \n",
              "Total Stockholder Equity                      4.025013e+09  3.499857e+09  \n",
              "Minority Interest                             5.140600e+07  3.491000e+07  \n",
              "Other Current Liab                            2.389060e+08  1.722200e+08  \n",
              "Total Assets                                  1.224826e+10  7.352005e+09  \n",
              "Common Stock                                  2.500000e+09  1.808639e+09  \n",
              "Other Current Assets                                   NaN  1.130000e+05  \n",
              "Retained Earnings                             1.413627e+09  1.593063e+09  \n",
              "Other Liab                                    5.775490e+08  3.335820e+08  \n",
              "Good Will                                     8.255350e+08  8.255350e+08  \n",
              "Gains Losses Not Affecting Retained Earnings -2.435300e+07 -3.954400e+07  \n",
              "Other Assets                                  4.325080e+08  7.283200e+07  \n",
              "Cash                                          2.992260e+08  2.415680e+08  \n",
              "Total Current Liabilities                     4.078485e+09  2.913445e+09  \n",
              "Deferred Long Term Asset Charges                       NaN           NaN  \n",
              "Short Long Term Debt                          2.286610e+08  2.729390e+08  \n",
              "Other Stockholder Equity                      1.378800e+07  1.592200e+07  \n",
              "Property Plant Equipment                      4.814260e+09  1.546960e+09  \n",
              "Total Current Assets                          5.756046e+09  4.529825e+09  \n",
              "Long Term Investments                                  NaN           NaN  \n",
              "Net Tangible Assets                           2.779572e+09  2.297469e+09  \n",
              "Net Receivables                               1.579063e+09  1.178975e+09  \n",
              "Long Term Debt                                8.978150e+08  5.702110e+08  \n",
              "Inventory                                     3.851388e+09  3.087275e+09  \n",
              "Accounts Payable                              2.653236e+09  2.141274e+09  "
            ],
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>2021-12-31</th>\n",
              "      <th>2020-12-31</th>\n",
              "      <th>2019-12-31</th>\n",
              "      <th>2018-12-31</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Intangible Assets</th>\n",
              "      <td>5.264830e+08</td>\n",
              "      <td>4.361740e+08</td>\n",
              "      <td>4.199060e+08</td>\n",
              "      <td>3.768530e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Capital Surplus</th>\n",
              "      <td>1.355650e+08</td>\n",
              "      <td>1.369130e+08</td>\n",
              "      <td>1.357390e+08</td>\n",
              "      <td>1.376990e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Liab</th>\n",
              "      <td>1.005670e+10</td>\n",
              "      <td>9.402467e+09</td>\n",
              "      <td>8.171836e+09</td>\n",
              "      <td>3.817238e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Stockholder Equity</th>\n",
              "      <td>4.677673e+09</td>\n",
              "      <td>4.363126e+09</td>\n",
              "      <td>4.025013e+09</td>\n",
              "      <td>3.499857e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Minority Interest</th>\n",
              "      <td>4.112900e+07</td>\n",
              "      <td>6.249500e+07</td>\n",
              "      <td>5.140600e+07</td>\n",
              "      <td>3.491000e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Current Liab</th>\n",
              "      <td>3.518180e+08</td>\n",
              "      <td>2.188850e+08</td>\n",
              "      <td>2.389060e+08</td>\n",
              "      <td>1.722200e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Assets</th>\n",
              "      <td>1.477551e+10</td>\n",
              "      <td>1.382809e+10</td>\n",
              "      <td>1.224826e+10</td>\n",
              "      <td>7.352005e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Common Stock</th>\n",
              "      <td>2.500000e+09</td>\n",
              "      <td>2.500000e+09</td>\n",
              "      <td>2.500000e+09</td>\n",
              "      <td>1.808639e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Current Assets</th>\n",
              "      <td>2.908140e+08</td>\n",
              "      <td>2.610220e+08</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.130000e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Retained Earnings</th>\n",
              "      <td>2.072984e+09</td>\n",
              "      <td>1.733650e+09</td>\n",
              "      <td>1.413627e+09</td>\n",
              "      <td>1.593063e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Liab</th>\n",
              "      <td>2.953920e+08</td>\n",
              "      <td>5.513070e+08</td>\n",
              "      <td>5.775490e+08</td>\n",
              "      <td>3.335820e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Good Will</th>\n",
              "      <td>9.597680e+08</td>\n",
              "      <td>8.255350e+08</td>\n",
              "      <td>8.255350e+08</td>\n",
              "      <td>8.255350e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gains Losses Not Affecting Retained Earnings</th>\n",
              "      <td>-3.087600e+07</td>\n",
              "      <td>-7.437000e+06</td>\n",
              "      <td>-2.435300e+07</td>\n",
              "      <td>-3.954400e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Assets</th>\n",
              "      <td>2.399140e+08</td>\n",
              "      <td>5.254240e+08</td>\n",
              "      <td>4.325080e+08</td>\n",
              "      <td>7.283200e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cash</th>\n",
              "      <td>3.561180e+08</td>\n",
              "      <td>8.803570e+08</td>\n",
              "      <td>2.992260e+08</td>\n",
              "      <td>2.415680e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Current Liabilities</th>\n",
              "      <td>5.896193e+09</td>\n",
              "      <td>4.801303e+09</td>\n",
              "      <td>4.078485e+09</td>\n",
              "      <td>2.913445e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Deferred Long Term Asset Charges</th>\n",
              "      <td>4.904700e+07</td>\n",
              "      <td>3.626100e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Short Long Term Debt</th>\n",
              "      <td>6.138310e+08</td>\n",
              "      <td>5.312040e+08</td>\n",
              "      <td>2.286610e+08</td>\n",
              "      <td>2.729390e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Stockholder Equity</th>\n",
              "      <td>6.111800e+07</td>\n",
              "      <td>1.884700e+07</td>\n",
              "      <td>1.378800e+07</td>\n",
              "      <td>1.592200e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Property Plant Equipment</th>\n",
              "      <td>5.329587e+09</td>\n",
              "      <td>5.020465e+09</td>\n",
              "      <td>4.814260e+09</td>\n",
              "      <td>1.546960e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Current Assets</th>\n",
              "      <td>7.718924e+09</td>\n",
              "      <td>7.020490e+09</td>\n",
              "      <td>5.756046e+09</td>\n",
              "      <td>4.529825e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Long Term Investments</th>\n",
              "      <td>8.300000e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Tangible Assets</th>\n",
              "      <td>3.191422e+09</td>\n",
              "      <td>3.101417e+09</td>\n",
              "      <td>2.779572e+09</td>\n",
              "      <td>2.297469e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Receivables</th>\n",
              "      <td>1.905834e+09</td>\n",
              "      <td>1.616965e+09</td>\n",
              "      <td>1.579063e+09</td>\n",
              "      <td>1.178975e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Long Term Debt</th>\n",
              "      <td>8.913910e+08</td>\n",
              "      <td>1.122250e+09</td>\n",
              "      <td>8.978150e+08</td>\n",
              "      <td>5.702110e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Inventory</th>\n",
              "      <td>5.117799e+09</td>\n",
              "      <td>4.225408e+09</td>\n",
              "      <td>3.851388e+09</td>\n",
              "      <td>3.087275e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Accounts Payable</th>\n",
              "      <td>3.656607e+09</td>\n",
              "      <td>3.106938e+09</td>\n",
              "      <td>2.653236e+09</td>\n",
              "      <td>2.141274e+09</td>\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a7597e3f-a2ca-4226-9d75-48edb4de332b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Total Assets - Total do ativo\n",
        "#Total Stockholder Equity - Patrimônio Líquido\n",
        "\n",
        "balanco = pd.DataFrame(bal)\n",
        "balanco = balanco/1000\n",
        "balanco = balanco[balanco.columns[::-1]]\n",
        "balanco"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 896
        },
        "id": "czh8XMOzTqXF",
        "outputId": "6a20a3e0-8124-4b39-a5b6-bbbdb91a1f33"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                              2018-12-31  2019-12-31  \\\n",
              "Intangible Assets                               376853.0    419906.0   \n",
              "Capital Surplus                                 137699.0    135739.0   \n",
              "Total Liab                                     3817238.0   8171836.0   \n",
              "Total Stockholder Equity                       3499857.0   4025013.0   \n",
              "Minority Interest                                34910.0     51406.0   \n",
              "Other Current Liab                              172220.0    238906.0   \n",
              "Total Assets                                   7352005.0  12248255.0   \n",
              "Common Stock                                   1808639.0   2500000.0   \n",
              "Other Current Assets                               113.0         NaN   \n",
              "Retained Earnings                              1593063.0   1413627.0   \n",
              "Other Liab                                      333582.0    577549.0   \n",
              "Good Will                                       825535.0    825535.0   \n",
              "Gains Losses Not Affecting Retained Earnings    -39544.0    -24353.0   \n",
              "Other Assets                                     72832.0    432508.0   \n",
              "Cash                                            241568.0    299226.0   \n",
              "Total Current Liabilities                      2913445.0   4078485.0   \n",
              "Deferred Long Term Asset Charges                     NaN         NaN   \n",
              "Short Long Term Debt                            272939.0    228661.0   \n",
              "Other Stockholder Equity                         15922.0     13788.0   \n",
              "Property Plant Equipment                       1546960.0   4814260.0   \n",
              "Total Current Assets                           4529825.0   5756046.0   \n",
              "Long Term Investments                                NaN         NaN   \n",
              "Net Tangible Assets                            2297469.0   2779572.0   \n",
              "Net Receivables                                1178975.0   1579063.0   \n",
              "Long Term Debt                                  570211.0    897815.0   \n",
              "Inventory                                      3087275.0   3851388.0   \n",
              "Accounts Payable                               2141274.0   2653236.0   \n",
              "\n",
              "                                              2020-12-31  2021-12-31  \n",
              "Intangible Assets                               436174.0    526483.0  \n",
              "Capital Surplus                                 136913.0    135565.0  \n",
              "Total Liab                                     9402467.0  10056704.0  \n",
              "Total Stockholder Equity                       4363126.0   4677673.0  \n",
              "Minority Interest                                62495.0     41129.0  \n",
              "Other Current Liab                              218885.0    351818.0  \n",
              "Total Assets                                  13828088.0  14775506.0  \n",
              "Common Stock                                   2500000.0   2500000.0  \n",
              "Other Current Assets                            261022.0    290814.0  \n",
              "Retained Earnings                              1733650.0   2072984.0  \n",
              "Other Liab                                      551307.0    295392.0  \n",
              "Good Will                                       825535.0    959768.0  \n",
              "Gains Losses Not Affecting Retained Earnings     -7437.0    -30876.0  \n",
              "Other Assets                                    525424.0    239914.0  \n",
              "Cash                                            880357.0    356118.0  \n",
              "Total Current Liabilities                      4801303.0   5896193.0  \n",
              "Deferred Long Term Asset Charges                 36261.0     49047.0  \n",
              "Short Long Term Debt                            531204.0    613831.0  \n",
              "Other Stockholder Equity                         18847.0     61118.0  \n",
              "Property Plant Equipment                       5020465.0   5329587.0  \n",
              "Total Current Assets                           7020490.0   7718924.0  \n",
              "Long Term Investments                                NaN       830.0  \n",
              "Net Tangible Assets                            3101417.0   3191422.0  \n",
              "Net Receivables                                1616965.0   1905834.0  \n",
              "Long Term Debt                                 1122250.0    891391.0  \n",
              "Inventory                                      4225408.0   5117799.0  \n",
              "Accounts Payable                               3106938.0   3656607.0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b2deeec9-cf80-4055-8d35-f05871587742\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>2018-12-31</th>\n",
              "      <th>2019-12-31</th>\n",
              "      <th>2020-12-31</th>\n",
              "      <th>2021-12-31</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Intangible Assets</th>\n",
              "      <td>376853.0</td>\n",
              "      <td>419906.0</td>\n",
              "      <td>436174.0</td>\n",
              "      <td>526483.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Capital Surplus</th>\n",
              "      <td>137699.0</td>\n",
              "      <td>135739.0</td>\n",
              "      <td>136913.0</td>\n",
              "      <td>135565.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Liab</th>\n",
              "      <td>3817238.0</td>\n",
              "      <td>8171836.0</td>\n",
              "      <td>9402467.0</td>\n",
              "      <td>10056704.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Stockholder Equity</th>\n",
              "      <td>3499857.0</td>\n",
              "      <td>4025013.0</td>\n",
              "      <td>4363126.0</td>\n",
              "      <td>4677673.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Minority Interest</th>\n",
              "      <td>34910.0</td>\n",
              "      <td>51406.0</td>\n",
              "      <td>62495.0</td>\n",
              "      <td>41129.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Current Liab</th>\n",
              "      <td>172220.0</td>\n",
              "      <td>238906.0</td>\n",
              "      <td>218885.0</td>\n",
              "      <td>351818.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Assets</th>\n",
              "      <td>7352005.0</td>\n",
              "      <td>12248255.0</td>\n",
              "      <td>13828088.0</td>\n",
              "      <td>14775506.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Common Stock</th>\n",
              "      <td>1808639.0</td>\n",
              "      <td>2500000.0</td>\n",
              "      <td>2500000.0</td>\n",
              "      <td>2500000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Current Assets</th>\n",
              "      <td>113.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>261022.0</td>\n",
              "      <td>290814.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Retained Earnings</th>\n",
              "      <td>1593063.0</td>\n",
              "      <td>1413627.0</td>\n",
              "      <td>1733650.0</td>\n",
              "      <td>2072984.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Liab</th>\n",
              "      <td>333582.0</td>\n",
              "      <td>577549.0</td>\n",
              "      <td>551307.0</td>\n",
              "      <td>295392.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Good Will</th>\n",
              "      <td>825535.0</td>\n",
              "      <td>825535.0</td>\n",
              "      <td>825535.0</td>\n",
              "      <td>959768.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gains Losses Not Affecting Retained Earnings</th>\n",
              "      <td>-39544.0</td>\n",
              "      <td>-24353.0</td>\n",
              "      <td>-7437.0</td>\n",
              "      <td>-30876.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Assets</th>\n",
              "      <td>72832.0</td>\n",
              "      <td>432508.0</td>\n",
              "      <td>525424.0</td>\n",
              "      <td>239914.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cash</th>\n",
              "      <td>241568.0</td>\n",
              "      <td>299226.0</td>\n",
              "      <td>880357.0</td>\n",
              "      <td>356118.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Current Liabilities</th>\n",
              "      <td>2913445.0</td>\n",
              "      <td>4078485.0</td>\n",
              "      <td>4801303.0</td>\n",
              "      <td>5896193.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Deferred Long Term Asset Charges</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>36261.0</td>\n",
              "      <td>49047.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Short Long Term Debt</th>\n",
              "      <td>272939.0</td>\n",
              "      <td>228661.0</td>\n",
              "      <td>531204.0</td>\n",
              "      <td>613831.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Other Stockholder Equity</th>\n",
              "      <td>15922.0</td>\n",
              "      <td>13788.0</td>\n",
              "      <td>18847.0</td>\n",
              "      <td>61118.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Property Plant Equipment</th>\n",
              "      <td>1546960.0</td>\n",
              "      <td>4814260.0</td>\n",
              "      <td>5020465.0</td>\n",
              "      <td>5329587.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total Current Assets</th>\n",
              "      <td>4529825.0</td>\n",
              "      <td>5756046.0</td>\n",
              "      <td>7020490.0</td>\n",
              "      <td>7718924.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Long Term Investments</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>830.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Tangible Assets</th>\n",
              "      <td>2297469.0</td>\n",
              "      <td>2779572.0</td>\n",
              "      <td>3101417.0</td>\n",
              "      <td>3191422.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Net Receivables</th>\n",
              "      <td>1178975.0</td>\n",
              "      <td>1579063.0</td>\n",
              "      <td>1616965.0</td>\n",
              "      <td>1905834.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Long Term Debt</th>\n",
              "      <td>570211.0</td>\n",
              "      <td>897815.0</td>\n",
              "      <td>1122250.0</td>\n",
              "      <td>891391.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Inventory</th>\n",
              "      <td>3087275.0</td>\n",
              "      <td>3851388.0</td>\n",
              "      <td>4225408.0</td>\n",
              "      <td>5117799.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Accounts Payable</th>\n",
              "      <td>2141274.0</td>\n",
              "      <td>2653236.0</td>\n",
              "      <td>3106938.0</td>\n",
              "      <td>3656607.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b2deeec9-cf80-4055-8d35-f05871587742')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b2deeec9-cf80-4055-8d35-f05871587742 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b2deeec9-cf80-4055-8d35-f05871587742');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = make_subplots(rows=8,\n",
        "                    cols=2,\n",
        "                    row_heights=[5,5,5,5,5,5,5,5],\n",
        "                    column_widths=[3,3],\n",
        "                    subplot_titles=('Receita Bruta Y', 'Lucro Líquido Y', 'Dívida CP Tri', 'Dívida LP Tri',\n",
        "                                    'Margem EBITDA', 'Margem Líquida', 'ROIC', 'ROE',\n",
        "                                    'Div Bruta/PL', 'CAGR 5Y', 'Preço/Lucro', 'P/VP',\n",
        "                                    'EV/EBIT', 'EV/EBITDA', 'Liquidez Corrente', 'Div Yeld'),\n",
        "                    shared_xaxes=False)\n",
        "fig.add_trace(go.Bar(name='Receita_bruta', x=receitas.index, y=receitas['Revenue']), row=1, col=1)\n",
        "fig.add_trace(go.Bar(name='Receita_liquida', x=receitas.index, y=receitas['Earnings']), row=1, col=2)\n",
        "\n",
        "fig.add_trace(go.Bar(name='Divida_CP', x=balanco.columns, y=balanco.loc['Short Long Term Debt']), row=2, col=1)\n",
        "fig.add_trace(go.Bar(name='Divida_CP', x=balanco.columns, y=balanco.loc['Long Term Debt']), row=2, col=2)\n",
        "\n",
        "fig.add_trace(go.Bar(name='Margem_Ebtida', x=ind_luc.index, y=ind_luc['mrgebit']), row=3, col=1)\n",
        "fig.add_trace(go.Bar(name='Margem_Liquida', x=ind_luc.index, y=ind_luc['mrgliq']), row=3, col=2)\n",
        "fig.add_trace(go.Bar(name='ROIC', x=ind_luc.index, y=ind_luc['roic']), row=4, col=1)\n",
        "fig.add_trace(go.Bar(name='ROE', x=ind_luc.index, y=ind_luc['roe']), row=4, col=2)\n",
        "\n",
        "fig.add_trace(go.Bar(name='divbpatr', x=end.index, y=end['divbpatr']), row=5, col=1)\n",
        "fig.add_trace(go.Bar(name='c5y', x=ind_luc.index, y=ind_luc['c5y']), row=5, col=2)\n",
        "fig.add_trace(go.Bar(name='pl', x=ind_valor.index, y=ind_valor['pl']), row=6, col=1)\n",
        "fig.add_trace(go.Bar(name='pvp', x=ind_valor.index, y=ind_valor['pvp']), row=6, col=2)\n",
        "fig.add_trace(go.Bar(name='evebit', x=ind_valor.index, y=ind_valor['evebit']), row=7, col=1)\n",
        "fig.add_trace(go.Bar(name='evebitda', x=ind_valor.index, y=ind_valor['evebitda']), row=7, col=2)\n",
        "fig.add_trace(go.Bar(name='ind_liq', x=ind_liq.index, y=ind_liq['Liq. Corr.']), row=8, col=1)\n",
        "fig.add_trace(go.Bar(name='dy', x=ind_luc.index, y=ind_luc['dy']), row=8, col=2)\n",
        "fig.update_layout(title_text='<b>Avaliação Fundamentalista RADL3.SA<b>', \n",
        "                  template='plotly_dark',#template pré-definido da plotly\n",
        "                  showlegend=False, #esconder ou mostrar legenda\n",
        "                  height=1800, #altura\n",
        "                  width=900) #largura\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "mSJHzd9wT1si",
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      "source": [
        "##Bônus - Cálculo do Giro do Ativo e Margem Líquida através do YF\n",
        "\n",
        "- Giro do ativo: Total Revenue/Total Assets (todos na frequência anual)"
      ],
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      "source": [
        "dre_a = ativo.get_financials(freq='yearly')\n",
        "dre_a = pd.DataFrame(dre_a)\n",
        "dre_a = dre_a/1000\n",
        "dre_a = dre_a[dre_a.columns[::-1]]\n",
        "dre_a"
      ],
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              "                                        2018-12-31  2019-12-31  2020-12-31  \\\n",
              "Research Development                           NaN         NaN         NaN   \n",
              "Effect Of Accounting Charges                   NaN         NaN         NaN   \n",
              "Income Before Tax                         638856.0    784168.0    616368.0   \n",
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              "Gross Profit                             4445522.0   5198361.0   5891132.0   \n",
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              "Discontinued Operations                        NaN         NaN         NaN   \n",
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              "                                        2021-12-31  \n",
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        "giro_do_ativo = pd.DataFrame()\n",
        "giro_do_ativo['Giro_do_Ativo'] = dre_a.loc['Total Revenue'] /balanco.loc['Total Assets'] \n",
        "giro_do_ativo"
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              "           Giro_do_Ativo\n",
              "                        \n",
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              "      <td>1.632905</td>\n",
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          "metadata": {},
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    },
    {
      "cell_type": "markdown",
      "source": [
        "Margem Líquida - Anual "
      ],
      "metadata": {
        "id": "DrQdujNk4Z_o"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "margem_liquida = pd.DataFrame()\n",
        "margem_liquida['Margem_Liquida'] = dre_a.loc['Net Income'] /dre_a.loc['Total Revenue'] \n",
        "margem_liquida"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 189
        },
        "id": "t3EWNOhc4b7v",
        "outputId": "9a15e296-4747-43c6-8668-964f05d39b5a"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           Margem_Liquida\n",
              "                         \n",
              "2018-12-31       0.033946\n",
              "2019-12-31       0.043963\n",
              "2020-12-31       0.024142\n",
              "2021-12-31       0.031166"
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    {
      "cell_type": "code",
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      "metadata": {
        "id": "ohBPDRSyWIzE"
      },
      "execution_count": null,
      "outputs": []
    }
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}