Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pandas.io.json import json_normalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pre populated list of securities from ./searchall script\n",
    "df = pd.read_json('./data/all.json')\n",
    "df = pd.json_normalize(df['rows'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.index= df['Ticker']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['SecId', 'LegalName', 'Name', 'IndustryName', 'SectorName', 'TenforeId',\n",
       "       'Universe', 'ExchangeId', 'Ticker', 'ClosePrice', 'MarketCap',\n",
       "       'DividendYield', 'PERatio', 'MarketCountryName', 'EquityStyleBox',\n",
       "       'ReturnD1', 'ReturnW1', 'ReturnM1', 'ReturnM3', 'ReturnM6', 'ReturnM0',\n",
       "       'ReturnM12', 'ReturnM36', 'ReturnM60', 'ReturnM120', 'EBTMarginYear1',\n",
       "       'ROEYear1', 'ROICYear1', 'EPSGrowth3YYear1', 'RevenueGrowth3Y',\n",
       "       'DebtEquityRatio', 'NetMargin', 'ROATTM', 'ROETTM', 'PEGRatio'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Oil & Gas E&P                       90\n",
       "Asset Management                    78\n",
       "Other Industrial Metals & Mining    65\n",
       "Software - Application              58\n",
       "Banks - Regional                    50\n",
       "                                    ..\n",
       "Silver                               1\n",
       "Medical Distribution                 1\n",
       "Lumber & Wood Production             1\n",
       "Apparel Manufacturing                1\n",
       "Business Equipment & Supplies        1\n",
       "Name: IndustryName, Length: 137, dtype: int64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.IndustryName.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Industrials               248\n",
       "Financial Services        216\n",
       "Basic Materials           183\n",
       "Consumer Cyclical         160\n",
       "Technology                156\n",
       "Energy                    145\n",
       "Healthcare                105\n",
       "Communication Services     91\n",
       "Consumer Defensive         81\n",
       "Real Estate                76\n",
       "Utilities                  34\n",
       "Name: SectorName, dtype: int64"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.SectorName.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Ticker</th>\n",
       "      <th>BP.</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SecId</th>\n",
       "      <td>0P000090MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LegalName</th>\n",
       "      <td>BP PLC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <td>BP PLC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IndustryName</th>\n",
       "      <td>Oil &amp; Gas Integrated</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SectorName</th>\n",
       "      <td>Energy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TenforeId</th>\n",
       "      <td>151.1.BP/</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Universe</th>\n",
       "      <td>E0EXG$XLON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ExchangeId</th>\n",
       "      <td>EX$$$$XLON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ticker</th>\n",
       "      <td>BP.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ClosePrice</th>\n",
       "      <td>321.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MarketCap</th>\n",
       "      <td>6.51265e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DividendYield</th>\n",
       "      <td>10.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PERatio</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MarketCountryName</th>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EquityStyleBox</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnD1</th>\n",
       "      <td>-0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnW1</th>\n",
       "      <td>-1.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM1</th>\n",
       "      <td>-1.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM3</th>\n",
       "      <td>38.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM6</th>\n",
       "      <td>-30.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM0</th>\n",
       "      <td>-29.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM12</th>\n",
       "      <td>-36.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM36</th>\n",
       "      <td>-4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM60</th>\n",
       "      <td>1.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM120</th>\n",
       "      <td>4.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EBTMarginYear1</th>\n",
       "      <td>0.029289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROEYear1</th>\n",
       "      <td>0.040686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROICYear1</th>\n",
       "      <td>0.033075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EPSGrowth3YYear1</th>\n",
       "      <td>-0.004209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RevenueGrowth3Y</th>\n",
       "      <td>15.0089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DebtEquityRatio</th>\n",
       "      <td>0.659391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NetMargin</th>\n",
       "      <td>-0.012049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROATTM</th>\n",
       "      <td>-0.011546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROETTM</th>\n",
       "      <td>-0.034557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PEGRatio</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Ticker                              BP.\n",
       "SecId                        0P000090MI\n",
       "LegalName                        BP PLC\n",
       "Name                             BP PLC\n",
       "IndustryName       Oil & Gas Integrated\n",
       "SectorName                       Energy\n",
       "TenforeId                     151.1.BP/\n",
       "Universe                     E0EXG$XLON\n",
       "ExchangeId                   EX$$$$XLON\n",
       "Ticker                              BP.\n",
       "ClosePrice                       321.45\n",
       "MarketCap                   6.51265e+10\n",
       "DividendYield                     10.16\n",
       "PERatio                             NaN\n",
       "MarketCountryName        United Kingdom\n",
       "EquityStyleBox                        2\n",
       "ReturnD1                           -0.6\n",
       "ReturnW1                          -1.89\n",
       "ReturnM1                          -1.85\n",
       "ReturnM3                          38.29\n",
       "ReturnM6                         -30.87\n",
       "ReturnM0                         -29.74\n",
       "ReturnM12                        -36.34\n",
       "ReturnM36                          -4.3\n",
       "ReturnM60                          1.48\n",
       "ReturnM120                         4.71\n",
       "EBTMarginYear1                 0.029289\n",
       "ROEYear1                       0.040686\n",
       "ROICYear1                      0.033075\n",
       "EPSGrowth3YYear1              -0.004209\n",
       "RevenueGrowth3Y                 15.0089\n",
       "DebtEquityRatio                0.659391\n",
       "NetMargin                     -0.012049\n",
       "ROATTM                        -0.011546\n",
       "ROETTM                        -0.034557\n",
       "PEGRatio                            NaN"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[ df['Name'] == 'BP PLC' ].T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0f7b58048>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = df[ df['PERatio'] < 20 ] \n",
    "\n",
    "df['PERatio'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Ticker</th>\n",
       "      <th>FXPO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SecId</th>\n",
       "      <td>0P0000C2LY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LegalName</th>\n",
       "      <td>Ferrexpo PLC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <td>Ferrexpo PLC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IndustryName</th>\n",
       "      <td>Steel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SectorName</th>\n",
       "      <td>Basic Materials</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TenforeId</th>\n",
       "      <td>151.1.FXPO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Universe</th>\n",
       "      <td>E0EXG$XLON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ExchangeId</th>\n",
       "      <td>EX$$$$XLON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ticker</th>\n",
       "      <td>FXPO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ClosePrice</th>\n",
       "      <td>178.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MarketCap</th>\n",
       "      <td>1.09777e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DividendYield</th>\n",
       "      <td>4.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PERatio</th>\n",
       "      <td>3.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MarketCountryName</th>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EquityStyleBox</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnD1</th>\n",
       "      <td>-5.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnW1</th>\n",
       "      <td>0.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM1</th>\n",
       "      <td>29.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM3</th>\n",
       "      <td>60.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM6</th>\n",
       "      <td>28.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM0</th>\n",
       "      <td>25.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM12</th>\n",
       "      <td>-22.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM36</th>\n",
       "      <td>8.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM60</th>\n",
       "      <td>29.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ReturnM120</th>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EBTMarginYear1</th>\n",
       "      <td>0.305016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROEYear1</th>\n",
       "      <td>0.36292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROICYear1</th>\n",
       "      <td>0.277584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EPSGrowth3YYear1</th>\n",
       "      <td>0.587475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RevenueGrowth3Y</th>\n",
       "      <td>15.1696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DebtEquityRatio</th>\n",
       "      <td>0.202588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NetMargin</th>\n",
       "      <td>0.26705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROATTM</th>\n",
       "      <td>0.241579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROETTM</th>\n",
       "      <td>0.36292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PEGRatio</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Ticker                        FXPO\n",
       "SecId                   0P0000C2LY\n",
       "LegalName             Ferrexpo PLC\n",
       "Name                  Ferrexpo PLC\n",
       "IndustryName                 Steel\n",
       "SectorName         Basic Materials\n",
       "TenforeId               151.1.FXPO\n",
       "Universe                E0EXG$XLON\n",
       "ExchangeId              EX$$$$XLON\n",
       "Ticker                        FXPO\n",
       "ClosePrice                   178.8\n",
       "MarketCap              1.09777e+09\n",
       "DividendYield                 4.52\n",
       "PERatio                       3.48\n",
       "MarketCountryName   United Kingdom\n",
       "EquityStyleBox                   8\n",
       "ReturnD1                     -5.05\n",
       "ReturnW1                      0.32\n",
       "ReturnM1                     29.03\n",
       "ReturnM3                     60.34\n",
       "ReturnM6                     28.91\n",
       "ReturnM0                     25.95\n",
       "ReturnM12                    -22.6\n",
       "ReturnM36                     8.11\n",
       "ReturnM60                    29.89\n",
       "ReturnM120                    0.08\n",
       "EBTMarginYear1            0.305016\n",
       "ROEYear1                   0.36292\n",
       "ROICYear1                 0.277584\n",
       "EPSGrowth3YYear1          0.587475\n",
       "RevenueGrowth3Y            15.1696\n",
       "DebtEquityRatio           0.202588\n",
       "NetMargin                  0.26705\n",
       "ROATTM                    0.241579\n",
       "ROETTM                     0.36292\n",
       "PEGRatio                       NaN"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[ df['Ticker'] == 'FXPO' ].T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0f7326898>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "df[ df['ReturnM1'] < 100]['ReturnM1'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0f6f230b8>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[ df['ReturnM12'] < 200]['ReturnM12'].hist(bins=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0f6ebb978>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[ df['DividendYield'] < 20]['DividendYield'].hist(bins=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0f6e460f0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[ df['PERatio'] < 20]['PERatio'].hist(bins=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0f6cddeb8>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ndf= df[ df['PERatio'] < 20]\n",
    "ndf= ndf[ ndf['DividendYield'] < 20]\n",
    "ndf.plot(kind='scatter',x='DividendYield', y='PERatio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0f6c04160>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ndf.plot(kind='scatter',x='ReturnM120', y='RevenueGrowth3Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.788183807439824"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ndf['ReturnM1'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-10.515837004405286"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ndf['ReturnM12'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "415     45.61\n",
       "692     57.95\n",
       "254     61.01\n",
       "365     83.51\n",
       "370    293.24\n",
       "Name: ReturnM1, dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ndf['ReturnM1'].sort_values().tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SecId                              0P00007OEX\n",
       "LegalName            Highland Gold Mining Ltd\n",
       "Name                 Highland Gold Mining Ltd\n",
       "IndustryName                             Gold\n",
       "SectorName                    Basic Materials\n",
       "TenforeId                           151.1.HGM\n",
       "Universe                           E0EXG$XLON\n",
       "ExchangeId                         EX$$$$XLON\n",
       "Ticker                                    HGM\n",
       "ClosePrice                                230\n",
       "MarketCap                         8.19496e+08\n",
       "DividendYield                            3.77\n",
       "PERatio                                   5.8\n",
       "MarketCountryName              United Kingdom\n",
       "EquityStyleBox                              7\n",
       "ReturnD1                                -0.79\n",
       "ReturnW1                                -4.98\n",
       "ReturnM1                               -15.97\n",
       "ReturnM3                                39.54\n",
       "ReturnM6                                25.04\n",
       "ReturnM0                                16.45\n",
       "ReturnM12                               30.79\n",
       "ReturnM36                               21.53\n",
       "ReturnM60                               40.32\n",
       "ReturnM120                               7.57\n",
       "EBTMarginYear1                       0.401458\n",
       "ROEYear1                             0.199357\n",
       "ROICYear1                            0.152622\n",
       "EPSGrowth3YYear1                     0.040003\n",
       "RevenueGrowth3Y                        8.9298\n",
       "DebtEquityRatio                      0.292961\n",
       "NetMargin                            0.448144\n",
       "ROATTM                               0.131198\n",
       "ROETTM                               0.199357\n",
       "PEGRatio                                  NaN\n",
       "Name: HGM, dtype: object"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc['HGM']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SecId                                   0P00007OU3\n",
       "LegalName            Royal Dutch Shell PLC Class A\n",
       "Name                 Royal Dutch Shell PLC Class A\n",
       "IndustryName                  Oil & Gas Integrated\n",
       "SectorName                                  Energy\n",
       "TenforeId                               151.1.RDSA\n",
       "Universe                                E0EXG$XLON\n",
       "ExchangeId                              EX$$$$XLON\n",
       "Ticker                                        RDSA\n",
       "ClosePrice                                  1375.8\n",
       "MarketCap                               1.0528e+11\n",
       "DividendYield                                 8.93\n",
       "PERatio                                      14.04\n",
       "MarketCountryName                   United Kingdom\n",
       "EquityStyleBox                                   2\n",
       "ReturnD1                                      0.06\n",
       "ReturnW1                                       2.5\n",
       "ReturnM1                                      2.39\n",
       "ReturnM3                                     41.58\n",
       "ReturnM6                                    -37.13\n",
       "ReturnM0                                    -36.87\n",
       "ReturnM12                                   -41.67\n",
       "ReturnM36                                    -5.74\n",
       "ReturnM60                                     2.11\n",
       "ReturnM120                                    3.54\n",
       "EBTMarginYear1                            0.073896\n",
       "ROEYear1                                  0.084955\n",
       "ROICYear1                                 0.062702\n",
       "EPSGrowth3YYear1                          0.010572\n",
       "RevenueGrowth3Y                            13.8683\n",
       "DebtEquityRatio                           0.436303\n",
       "NetMargin                                 0.030566\n",
       "ROATTM                                    0.024366\n",
       "ROETTM                                    0.052223\n",
       "PEGRatio                                    4.7924\n",
       "Name: RDSA, dtype: object"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc['RDSA']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ticker\n",
       "55BC    4.311145e+09\n",
       "RSA     4.328452e+09\n",
       "PETB    4.369813e+09\n",
       "PSON    4.409092e+09\n",
       "RSTI    4.434908e+09\n",
       "            ...     \n",
       "SMSN    2.915076e+11\n",
       "SMSD    2.915076e+11\n",
       "RICO    5.980117e+11\n",
       "MEL     3.043819e+12\n",
       "TYT     1.895091e+13\n",
       "Name: MarketCap, Length: 100, dtype: float64"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values('MarketCap')['MarketCap'].tail(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "energy = df[ df['SectorName'] == 'Energy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SecId</th>\n",
       "      <th>LegalName</th>\n",
       "      <th>Name</th>\n",
       "      <th>IndustryName</th>\n",
       "      <th>SectorName</th>\n",
       "      <th>TenforeId</th>\n",
       "      <th>Universe</th>\n",
       "      <th>ExchangeId</th>\n",
       "      <th>Ticker</th>\n",
       "      <th>ClosePrice</th>\n",
       "      <th>...</th>\n",
       "      <th>EBTMarginYear1</th>\n",
       "      <th>ROEYear1</th>\n",
       "      <th>ROICYear1</th>\n",
       "      <th>EPSGrowth3YYear1</th>\n",
       "      <th>RevenueGrowth3Y</th>\n",
       "      <th>DebtEquityRatio</th>\n",
       "      <th>NetMargin</th>\n",
       "      <th>ROATTM</th>\n",
       "      <th>ROETTM</th>\n",
       "      <th>PEGRatio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ticker</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",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>88E</th>\n",
       "      <td>0P0000VAET</td>\n",
       "      <td>88 Energy Ltd</td>\n",
       "      <td>88 Energy Ltd</td>\n",
       "      <td>Oil &amp; Gas E&amp;P</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.88E</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>88E</td>\n",
       "      <td>0.280</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.463485</td>\n",
       "      <td>-0.329140</td>\n",
       "      <td>-0.073912</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.350977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.338404</td>\n",
       "      <td>-0.463485</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADES</th>\n",
       "      <td>0P0001AGFT</td>\n",
       "      <td>ADES International Holding PLC</td>\n",
       "      <td>ADES International Holding PLC</td>\n",
       "      <td>Oil &amp; Gas Equipment &amp; Services</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.ADES</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>ADES</td>\n",
       "      <td>9.800</td>\n",
       "      <td>...</td>\n",
       "      <td>0.085547</td>\n",
       "      <td>0.067014</td>\n",
       "      <td>0.064747</td>\n",
       "      <td>0.600589</td>\n",
       "      <td>52.7246</td>\n",
       "      <td>1.463512</td>\n",
       "      <td>0.059926</td>\n",
       "      <td>0.022755</td>\n",
       "      <td>0.067014</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADME</th>\n",
       "      <td>0P00007Z0A</td>\n",
       "      <td>ADM Energy PLC</td>\n",
       "      <td>ADM Energy PLC</td>\n",
       "      <td>Oil &amp; Gas E&amp;P</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.ADME</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>ADME</td>\n",
       "      <td>2.700</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.271506</td>\n",
       "      <td>-0.057828</td>\n",
       "      <td>-0.057828</td>\n",
       "      <td>-0.333858</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.034642</td>\n",
       "      <td>-0.009199</td>\n",
       "      <td>-0.010304</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AEX</th>\n",
       "      <td>0P00007NXD</td>\n",
       "      <td>Aminex PLC</td>\n",
       "      <td>Aminex PLC</td>\n",
       "      <td>Oil &amp; Gas E&amp;P</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.AEX</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>AEX</td>\n",
       "      <td>0.825</td>\n",
       "      <td>...</td>\n",
       "      <td>-42.663866</td>\n",
       "      <td>-0.286359</td>\n",
       "      <td>-0.284071</td>\n",
       "      <td>-0.259899</td>\n",
       "      <td>-58.3300</td>\n",
       "      <td>0.003720</td>\n",
       "      <td>-42.663866</td>\n",
       "      <td>-0.233749</td>\n",
       "      <td>-0.286359</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAOG</th>\n",
       "      <td>0P00019VSV</td>\n",
       "      <td>Anglo African Oil &amp; Gas PLC</td>\n",
       "      <td>Anglo African Oil &amp; Gas PLC</td>\n",
       "      <td>Oil &amp; Gas Drilling</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.AAOG</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>AAOG</td>\n",
       "      <td>0.375</td>\n",
       "      <td>...</td>\n",
       "      <td>-87.532745</td>\n",
       "      <td>-1.467117</td>\n",
       "      <td>-1.451199</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-59.684170</td>\n",
       "      <td>-0.654075</td>\n",
       "      <td>-0.993241</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WTE</th>\n",
       "      <td>0P00007P2I</td>\n",
       "      <td>Westmount Energy Ltd</td>\n",
       "      <td>Westmount Energy Ltd</td>\n",
       "      <td>Oil &amp; Gas E&amp;P</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.WTE</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>WTE</td>\n",
       "      <td>13.500</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.492307</td>\n",
       "      <td>0.441731</td>\n",
       "      <td>0.512137</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.100911</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.103242</td>\n",
       "      <td>0.120349</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WG.</th>\n",
       "      <td>0P00007P2Z</td>\n",
       "      <td>Wood Group (John) PLC</td>\n",
       "      <td>Wood Group (John) PLC</td>\n",
       "      <td>Oil &amp; Gas Integrated</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.WG/</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>WG.</td>\n",
       "      <td>224.300</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015035</td>\n",
       "      <td>0.015945</td>\n",
       "      <td>0.022361</td>\n",
       "      <td>0.040096</td>\n",
       "      <td>33.8909</td>\n",
       "      <td>0.447648</td>\n",
       "      <td>0.007280</td>\n",
       "      <td>0.005957</td>\n",
       "      <td>0.015945</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZEN</th>\n",
       "      <td>0P00019KTE</td>\n",
       "      <td>Zenith Energy Ltd</td>\n",
       "      <td>Zenith Energy Ltd</td>\n",
       "      <td>Oil &amp; Gas E&amp;P</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.ZEN</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>ZEN</td>\n",
       "      <td>0.975</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.486371</td>\n",
       "      <td>-0.017112</td>\n",
       "      <td>-0.015803</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.8155</td>\n",
       "      <td>0.014367</td>\n",
       "      <td>-1.358660</td>\n",
       "      <td>-0.006537</td>\n",
       "      <td>-0.012374</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZOE</th>\n",
       "      <td>0P00015LT1</td>\n",
       "      <td>Zoetic International PLC</td>\n",
       "      <td>Zoetic International PLC</td>\n",
       "      <td>Oil &amp; Gas E&amp;P</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.ZOE</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>ZOE</td>\n",
       "      <td>9.050</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.677617</td>\n",
       "      <td>-0.735837</td>\n",
       "      <td>-0.735897</td>\n",
       "      <td>-0.003249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.276760</td>\n",
       "      <td>-0.833625</td>\n",
       "      <td>-1.133080</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZOL</th>\n",
       "      <td>0P00007YRA</td>\n",
       "      <td>Zoltav Resources Inc</td>\n",
       "      <td>Zoltav Resources Inc</td>\n",
       "      <td>Oil &amp; Gas E&amp;P</td>\n",
       "      <td>Energy</td>\n",
       "      <td>151.1.ZOL</td>\n",
       "      <td>E0EXG$XLON</td>\n",
       "      <td>EX$$$$XLON</td>\n",
       "      <td>ZOL</td>\n",
       "      <td>38.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.096320</td>\n",
       "      <td>0.016953</td>\n",
       "      <td>0.027820</td>\n",
       "      <td>-0.062008</td>\n",
       "      <td>-7.9066</td>\n",
       "      <td>0.129160</td>\n",
       "      <td>-0.100810</td>\n",
       "      <td>-0.018395</td>\n",
       "      <td>-0.026936</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>145 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             SecId                       LegalName  \\\n",
       "Ticker                                               \n",
       "88E     0P0000VAET                   88 Energy Ltd   \n",
       "ADES    0P0001AGFT  ADES International Holding PLC   \n",
       "ADME    0P00007Z0A                  ADM Energy PLC   \n",
       "AEX     0P00007NXD                      Aminex PLC   \n",
       "AAOG    0P00019VSV     Anglo African Oil & Gas PLC   \n",
       "...            ...                             ...   \n",
       "WTE     0P00007P2I            Westmount Energy Ltd   \n",
       "WG.     0P00007P2Z           Wood Group (John) PLC   \n",
       "ZEN     0P00019KTE               Zenith Energy Ltd   \n",
       "ZOE     0P00015LT1        Zoetic International PLC   \n",
       "ZOL     0P00007YRA            Zoltav Resources Inc   \n",
       "\n",
       "                                  Name                    IndustryName  \\\n",
       "Ticker                                                                   \n",
       "88E                      88 Energy Ltd                   Oil & Gas E&P   \n",
       "ADES    ADES International Holding PLC  Oil & Gas Equipment & Services   \n",
       "ADME                    ADM Energy PLC                   Oil & Gas E&P   \n",
       "AEX                         Aminex PLC                   Oil & Gas E&P   \n",
       "AAOG       Anglo African Oil & Gas PLC              Oil & Gas Drilling   \n",
       "...                                ...                             ...   \n",
       "WTE               Westmount Energy Ltd                   Oil & Gas E&P   \n",
       "WG.              Wood Group (John) PLC            Oil & Gas Integrated   \n",
       "ZEN                  Zenith Energy Ltd                   Oil & Gas E&P   \n",
       "ZOE           Zoetic International PLC                   Oil & Gas E&P   \n",
       "ZOL               Zoltav Resources Inc                   Oil & Gas E&P   \n",
       "\n",
       "       SectorName   TenforeId    Universe  ExchangeId Ticker  ClosePrice  ...  \\\n",
       "Ticker                                                                    ...   \n",
       "88E        Energy   151.1.88E  E0EXG$XLON  EX$$$$XLON    88E       0.280  ...   \n",
       "ADES       Energy  151.1.ADES  E0EXG$XLON  EX$$$$XLON   ADES       9.800  ...   \n",
       "ADME       Energy  151.1.ADME  E0EXG$XLON  EX$$$$XLON   ADME       2.700  ...   \n",
       "AEX        Energy   151.1.AEX  E0EXG$XLON  EX$$$$XLON    AEX       0.825  ...   \n",
       "AAOG       Energy  151.1.AAOG  E0EXG$XLON  EX$$$$XLON   AAOG       0.375  ...   \n",
       "...           ...         ...         ...         ...    ...         ...  ...   \n",
       "WTE        Energy   151.1.WTE  E0EXG$XLON  EX$$$$XLON    WTE      13.500  ...   \n",
       "WG.        Energy   151.1.WG/  E0EXG$XLON  EX$$$$XLON    WG.     224.300  ...   \n",
       "ZEN        Energy   151.1.ZEN  E0EXG$XLON  EX$$$$XLON    ZEN       0.975  ...   \n",
       "ZOE        Energy   151.1.ZOE  E0EXG$XLON  EX$$$$XLON    ZOE       9.050  ...   \n",
       "ZOL        Energy   151.1.ZOL  E0EXG$XLON  EX$$$$XLON    ZOL      38.000  ...   \n",
       "\n",
       "        EBTMarginYear1  ROEYear1  ROICYear1 EPSGrowth3YYear1  RevenueGrowth3Y  \\\n",
       "Ticker                                                                          \n",
       "88E                NaN -0.463485  -0.329140        -0.073912              NaN   \n",
       "ADES          0.085547  0.067014   0.064747         0.600589          52.7246   \n",
       "ADME         -0.271506 -0.057828  -0.057828        -0.333858              NaN   \n",
       "AEX         -42.663866 -0.286359  -0.284071        -0.259899         -58.3300   \n",
       "AAOG        -87.532745 -1.467117  -1.451199              NaN              NaN   \n",
       "...                ...       ...        ...              ...              ...   \n",
       "WTE                NaN  0.492307   0.441731         0.512137              NaN   \n",
       "WG.           0.015035  0.015945   0.022361         0.040096          33.8909   \n",
       "ZEN          -1.486371 -0.017112  -0.015803              NaN          46.8155   \n",
       "ZOE          -5.677617 -0.735837  -0.735897        -0.003249              NaN   \n",
       "ZOL           0.096320  0.016953   0.027820        -0.062008          -7.9066   \n",
       "\n",
       "        DebtEquityRatio  NetMargin    ROATTM    ROETTM  PEGRatio  \n",
       "Ticker                                                            \n",
       "88E            0.350977        NaN -0.338404 -0.463485       NaN  \n",
       "ADES           1.463512   0.059926  0.022755  0.067014       NaN  \n",
       "ADME                NaN  -0.034642 -0.009199 -0.010304       NaN  \n",
       "AEX            0.003720 -42.663866 -0.233749 -0.286359       NaN  \n",
       "AAOG                NaN -59.684170 -0.654075 -0.993241       NaN  \n",
       "...                 ...        ...       ...       ...       ...  \n",
       "WTE            0.100911        NaN  0.103242  0.120349       NaN  \n",
       "WG.            0.447648   0.007280  0.005957  0.015945       NaN  \n",
       "ZEN            0.014367  -1.358660 -0.006537 -0.012374       NaN  \n",
       "ZOE                 NaN  -3.276760 -0.833625 -1.133080       NaN  \n",
       "ZOL            0.129160  -0.100810 -0.018395 -0.026936       NaN  \n",
       "\n",
       "[145 rows x 35 columns]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "cheap = df[ df['PERatio'] < 5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ticker\n",
       "ENPL       6.3286\n",
       "ORPH       6.6534\n",
       "CMCL       6.9451\n",
       "MOGP       7.5661\n",
       "OGZD       7.8195\n",
       "TCN        8.1078\n",
       "AV.        8.5354\n",
       "VTBR      10.1439\n",
       "LOOK      10.1700\n",
       "ZENB      11.1835\n",
       "JKX       11.2731\n",
       "PIP       11.5459\n",
       "RTC       11.8253\n",
       "STB       11.8734\n",
       "MIRA      12.5186\n",
       "JUST      14.5572\n",
       "FXPO      15.1696\n",
       "NTBR      15.7654\n",
       "SGGD      16.1588\n",
       "SNT       16.1962\n",
       "PMO       17.2390\n",
       "ARO       17.2848\n",
       "BSE       18.3870\n",
       "AVAP      18.6979\n",
       "PTAL      19.3485\n",
       "SAUA      19.5341\n",
       "HUW       20.7806\n",
       "SLP       21.3117\n",
       "UKR       22.3591\n",
       "ASAI      23.9880\n",
       "GENL      25.5279\n",
       "ENW       29.6595\n",
       "PRTC      30.3201\n",
       "HSBK      31.3348\n",
       "37QB      31.3348\n",
       "SAA       33.1527\n",
       "SVE       34.6154\n",
       "OPM       36.3365\n",
       "AMGO      38.4058\n",
       "SEPL      40.0137\n",
       "SPEC      40.4818\n",
       "KAZ       43.5524\n",
       "HAYD      43.6745\n",
       "UVEL      54.3624\n",
       "CNEL      71.8116\n",
       "TMT       82.9510\n",
       "CGEO      85.0909\n",
       "TEK      116.0950\n",
       "PIRI     193.6956\n",
       "PANR    1021.3445\n",
       "Name: RevenueGrowth3Y, dtype: float64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cheap['RevenueGrowth3Y'].sort_values().dropna().tail(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SecId                            0P00012MKL\n",
       "LegalName                    Tekcapital PLC\n",
       "Name                         Tekcapital PLC\n",
       "IndustryName         Software - Application\n",
       "SectorName                       Technology\n",
       "TenforeId                         151.1.TEK\n",
       "Universe                         E0EXG$XLON\n",
       "ExchangeId                       EX$$$$XLON\n",
       "Ticker                                  TEK\n",
       "ClosePrice                               12\n",
       "MarketCap                       1.11917e+07\n",
       "DividendYield                           NaN\n",
       "PERatio                                1.68\n",
       "MarketCountryName            United Kingdom\n",
       "EquityStyleBox                            7\n",
       "ReturnD1                               8.51\n",
       "ReturnW1                              -7.27\n",
       "ReturnM1                             -13.56\n",
       "ReturnM3                                155\n",
       "ReturnM6                             142.86\n",
       "ReturnM0                             142.86\n",
       "ReturnM12                              6.25\n",
       "ReturnM36                            -25.63\n",
       "ReturnM60                            -19.62\n",
       "ReturnM120                              NaN\n",
       "EBTMarginYear1                     0.715352\n",
       "ROEYear1                           0.285458\n",
       "ROICYear1                          0.285458\n",
       "EPSGrowth3YYear1                   0.664398\n",
       "RevenueGrowth3Y                     116.095\n",
       "DebtEquityRatio                         NaN\n",
       "NetMargin                          0.715049\n",
       "ROATTM                              0.28027\n",
       "ROETTM                             0.285458\n",
       "PEGRatio                                NaN\n",
       "Name: TEK, dtype: object"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cheap.loc['TEK']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SecId                      0P0000TIXW\n",
       "LegalName            Genel Energy PLC\n",
       "Name                 Genel Energy PLC\n",
       "IndustryName            Oil & Gas E&P\n",
       "SectorName                     Energy\n",
       "TenforeId                  151.1.GENL\n",
       "Universe                   E0EXG$XLON\n",
       "ExchangeId                 EX$$$$XLON\n",
       "Ticker                           GENL\n",
       "ClosePrice                      120.8\n",
       "MarketCap                 3.35426e+08\n",
       "DividendYield                    9.83\n",
       "PERatio                          4.19\n",
       "MarketCountryName                 NaN\n",
       "EquityStyleBox                      7\n",
       "ReturnD1                         3.87\n",
       "ReturnW1                         1.31\n",
       "ReturnM1                        12.78\n",
       "ReturnM3                       141.25\n",
       "ReturnM6                       -29.33\n",
       "ReturnM0                       -30.38\n",
       "ReturnM12                      -22.23\n",
       "ReturnM36                       14.49\n",
       "ReturnM60                      -22.81\n",
       "ReturnM120                        NaN\n",
       "EBTMarginYear1               0.277306\n",
       "ROEYear1                     0.076467\n",
       "ROICYear1                    0.076761\n",
       "EPSGrowth3YYear1             0.013885\n",
       "RevenueGrowth3Y               25.5279\n",
       "DebtEquityRatio               0.21492\n",
       "NetMargin                    0.275451\n",
       "ROATTM                       0.054807\n",
       "ROETTM                       0.076467\n",
       "PEGRatio                          NaN\n",
       "Name: GENL, dtype: object"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cheap.loc['GENL']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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