Two Sigma EDA by George.ipynb

{
  "cells": [
    {
      "metadata": {
        "_uuid": "5ffb21374c7cf4b98e7239045ef9bf312effee25"
      },
      "cell_type": "markdown",
      "source": "# Two Sigma News Exploratory Data Analysis\n### By: George"
    },
    {
      "metadata": {
        "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
        "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
        "trusted": true
      },
      "cell_type": "code",
      "source": "from kaggle.competitions import twosigmanews\n# You can only call make_env() once, so don't lose it!\n# env = twosigmanews.make_env()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "c20fa6deeac9d374c98774abd90bdc76b023ee63"
      },
      "cell_type": "code",
      "source": "# Get market and news data from environment\n(market_train_df, news_train_df) = env.get_training_data()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "eab04ddb26d1227e89d75516f6da9e8754319332"
      },
      "cell_type": "code",
      "source": "print(market_train_df.shape,news_train_df.shape)",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "6811a1a76f08b2a029543cf73bcdf4dfca7dc362",
        "scrolled": true
      },
      "cell_type": "code",
      "source": "market_train_df.head()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "84b5a58f67ebded82e6aabc66ca36411e6db35a9"
      },
      "cell_type": "code",
      "source": "market_train_df.tail()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "_uuid": "d8a3931c858e11bf838ce0effebace87d9c78755"
      },
      "cell_type": "markdown",
      "source": "# Market Data Analysis"
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "a8e3c8bf7ba61571d368296848c4e4b27b9d6fe3"
      },
      "cell_type": "code",
      "source": "print(len(set(market_train_df['time'])))\nprint(len(set(market_train_df['assetCode'])))\nprint(len(set(market_train_df['assetName'])))",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "a969c099d4adf95597f47defc366c7fa6f23f5af"
      },
      "cell_type": "code",
      "source": "print(len(set(market_train_df['assetCode'][market_train_df['assetName']=='Unknown'])))",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": false,
        "_uuid": "1ea663eeb325cdd14be68f17241eb6adf2235763"
      },
      "cell_type": "code",
      "source": "print(len(set(zip(market_train_df['assetCode'],market_train_df['assetName']))))",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true,
        "_uuid": "61a02f055d2f84bef420860f13ad0d45d7b5e20b"
      },
      "cell_type": "code",
      "source": "NameList = market_train_df['assetName']\nNameCount = {}\nfor name in NameList:\n    NameCount[name] = NameCount.get(name,0)+1\n\ncomp1 = lambda x:(x[1],x[0])\nfor key, value in sorted(NameCount.items(), key=comp1,reverse = True):\n    print(\"%s: %s\" % (key, value))",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "66647dccd2ab0994bf046a1005b125216d9cc011"
      },
      "cell_type": "code",
      "source": "assetPair = zip(market_train_df['assetName'],market_train_df['assetCode'])\nassetMap = {}\nfor pair in assetPair:\n    if pair[1] not in assetMap.get(pair[0],[]):\n        assetMap[pair[0]] = assetMap.get(pair[0],[])+[pair[1]]\n        \ncomp2 = lambda x:len(x[1])\nfor key, value in sorted(assetMap.items(), key=comp2,reverse = True):\n    print(\"%s: %s\" % (key, value))",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "84de9c8342855318f849ab48a70b9e6ddd50c70f"
      },
      "cell_type": "code",
      "source": "firstTime = market_train_df['time'][0]\nprint(firstTime)",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "4fa8f6a300a7acb1c1e6c5ef0ea89dc0115dfa2b"
      },
      "cell_type": "code",
      "source": "print(firstTime.hour,firstTime.minute,firstTime.second)",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "0a8d3c62f81f857482aaf9c237e4fe456f4076e9"
      },
      "cell_type": "code",
      "source": "for timestamp in set(market_train_df['time']):\n    if timestamp.hour!=22 or timestamp.minute!=0 or timestamp.second!=0:\n        print('Error!')\n        break\n# if there is no 'Error', it means all timestamp are at 22:00:00+00:00\n# so they are all EOD information",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "435f486de44712e142f9f815e80ec1f6a435535a"
      },
      "cell_type": "code",
      "source": "set(market_train_df['universe']) # 1 means tradeable on that day",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "90ef756e1420346dfb99c2b2237017e248f04818"
      },
      "cell_type": "code",
      "source": "# Stock split\n# AAPL's 4th split took place on June 09, 2014. \n# This was a 7 for 1 split, meaning for each share of AAPL owned pre-split, the shareholder now owned 7 shares. \n# For example, a 8000 share position pre-split, became a 56000 share position following the split.\napple_close = []\napple_open = []\nfor pair in zip(market_train_df['assetName'],market_train_df['close'],market_train_df['open']):\n    if pair[0] == 'Apple Inc':\n        apple_close.append(pair[1])\n\nimport matplotlib.pyplot as plt\nplt.plot(apple_close)\nplt.show()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "e894cd13e6f5257b2ec582e18fd71dd00fbd528b"
      },
      "cell_type": "code",
      "source": "#returnsClosePrevRaw1\treturnsOpenPrevRaw1\treturnsClosePrevMktres1\treturnsOpenPrevMktres1\t\n#returnsClosePrevRaw10\treturnsOpenPrevRaw10\treturnsClosePrevMktres10\treturnsOpenPrevMktres10\t\n#returnsOpenNextMktres10\nimport numpy as np\nfrom scipy.stats import *\n\ndef market_summary_by_name( name ):\n    name_market = market_train_df[market_train_df['assetName'] == name ].iloc[10:,6:15]\n    tradeable = market_train_df['universe']\n    '''\n    print('Mean')\n    print(name_market.aggregate(np.mean,0))\n    print('Std')\n    print(name_market.aggregate(np.std,0))\n    print('Skewness')\n    print(name_market.aggregate(skew,0))\n    print('Kurtosis')\n    print(name_market.aggregate(kurtosis,0))\n    print('Tradeable percentage:',np.mean(tradeable))\n    '''\n    return [name_market.aggregate(np.mean,0),\\\n            name_market.aggregate(np.std,0),\\\n            name_market.aggregate(skew,0),\\\n            name_market.aggregate(kurtosis,0),\\\n            np.mean(tradeable)]",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "1872ee4163865c34db814b6ae9951c2e5f1c67d7"
      },
      "cell_type": "code",
      "source": "market_summary_by_name('Apple Inc')",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "41635bcb4ae85971c5f1978b0741aec4fdb8a43c"
      },
      "cell_type": "code",
      "source": "type(market_summary_by_name('Apple Inc')[0])",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "571d8695f6a9682699f58eea2b083a23b9eee552"
      },
      "cell_type": "code",
      "source": "import pandas as pd\ndef market_summary_all():\n    Mean_merged = None\n    Std_merged  = None\n    Skew_merged = None\n    Kurt_merged = None\n    count = 0\n    for name in set(market_train_df['assetName']):\n        if name!='Unknown':\n            count += 1\n            print('Processing name',count)\n            name_result = market_summary_by_name( name )\n            Mean_merged = pd.concat([Mean_merged,name_result[0].to_frame()],1) if (Mean_merged is not None) else name_result[0].to_frame()\n            Std_merged  = pd.concat([Std_merged,name_result[1].to_frame()],1)  if (Std_merged is not None)  else name_result[1].to_frame()\n    Mean_df = pd.DataFrame(Mean_merged.transpose()).dropna()\n    Std_df  = pd.DataFrame(Std_merged.transpose()).dropna()\n    return [[Mean_df.aggregate(np.median),Mean_df.aggregate(min),Mean_df.aggregate(max)],\\\n            [Std_df.aggregate(np.median), Std_df.aggregate(min), Std_df.aggregate(max)]]",
      "execution_count": 199,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true,
        "_uuid": "620cccf7e0ca441d365cca0e3741079049a16db8"
      },
      "cell_type": "code",
      "source": "summary_result = market_summary_all()",
      "execution_count": 200,
      "outputs": [
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          "name": "stdout"
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      "source": "pd.DataFrame(summary_result.transpose()).dropna().aggregate(np.median)",
      "execution_count": 198,
      "outputs": [
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          "output_type": "execute_result",
          "execution_count": 198,
          "data": {
            "text/plain": "returnsClosePrevRaw1        0.000528\nreturnsOpenPrevRaw1         0.000535\nreturnsClosePrevMktres1     0.000165\nreturnsOpenPrevMktres1      0.000249\nreturnsClosePrevRaw10       0.004981\nreturnsOpenPrevRaw10        0.005075\nreturnsClosePrevMktres10    0.001610\nreturnsOpenPrevMktres10     0.001997\nreturnsOpenNextMktres10     0.001820\ndtype: float64"
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      "execution_count": 201,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 201,
          "data": {
            "text/plain": "[[returnsClosePrevRaw1        0.000528\n  returnsOpenPrevRaw1         0.000535\n  returnsClosePrevMktres1     0.000165\n  returnsOpenPrevMktres1      0.000249\n  returnsClosePrevRaw10       0.004981\n  returnsOpenPrevRaw10        0.005075\n  returnsClosePrevMktres10    0.001610\n  returnsOpenPrevMktres10     0.001997\n  returnsOpenNextMktres10     0.001820\n  dtype: float64, returnsClosePrevRaw1       -0.212644\n  returnsOpenPrevRaw1        -0.173571\n  returnsClosePrevMktres1    -0.164873\n  returnsOpenPrevMktres1     -0.173831\n  returnsClosePrevRaw10      -0.375436\n  returnsOpenPrevRaw10       -0.319412\n  returnsClosePrevMktres10   -0.286554\n  returnsOpenPrevMktres10    -2.221988\n  returnsOpenNextMktres10    -2.202348\n  dtype: float64, returnsClosePrevRaw1         0.066181\n  returnsOpenPrevRaw1          8.520701\n  returnsClosePrevMktres1      0.068673\n  returnsOpenPrevMktres1       4.948884\n  returnsClosePrevRaw10        0.611070\n  returnsOpenPrevRaw10         9.205749\n  returnsClosePrevMktres10     0.555518\n  returnsOpenPrevMktres10     16.172669\n  returnsOpenNextMktres10     12.605227\n  dtype: float64], [returnsClosePrevRaw1        0.026616\n  returnsOpenPrevRaw1         0.026954\n  returnsClosePrevMktres1     0.021066\n  returnsOpenPrevMktres1      0.023786\n  returnsClosePrevRaw10       0.078358\n  returnsOpenPrevRaw10        0.078452\n  returnsClosePrevMktres10    0.062878\n  returnsOpenPrevMktres10     0.064477\n  returnsOpenNextMktres10     0.064422\n  dtype: float64, returnsClosePrevRaw1        0.0\n  returnsOpenPrevRaw1         0.0\n  returnsClosePrevMktres1     0.0\n  returnsOpenPrevMktres1      0.0\n  returnsClosePrevRaw10       0.0\n  returnsOpenPrevRaw10        0.0\n  returnsClosePrevMktres10    0.0\n  returnsOpenPrevMktres10     0.0\n  returnsOpenNextMktres10     0.0\n  dtype: float64, returnsClosePrevRaw1          1.302359\n  returnsOpenPrevRaw1         167.617055\n  returnsClosePrevMktres1       1.292063\n  returnsOpenPrevMktres1      165.566560\n  returnsClosePrevRaw10         1.336834\n  returnsOpenPrevRaw10        171.296669\n  returnsClosePrevMktres10      1.412611\n  returnsOpenPrevMktres10     173.698722\n  returnsOpenNextMktres10     143.715848\n  dtype: float64]]"
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    {
      "metadata": {
        "_uuid": "2eab988e29d81aa6540c5a8e66f29d13cbd95027"
      },
      "cell_type": "markdown",
      "source": "# News Data Analysis"
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "e090b11b91b430f7b7e9242c5d9e9cc2cae34e05"
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      "cell_type": "code",
      "source": "news_train_df.head()",
      "execution_count": 208,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 208,
          "data": {
            "text/plain": "                       time      ...       volumeCounts7D\n0 2007-01-01 04:29:32+00:00      ...                    7\n1 2007-01-01 07:03:35+00:00      ...                    3\n2 2007-01-01 11:29:56+00:00      ...                   17\n3 2007-01-01 12:08:37+00:00      ...                   15\n4 2007-01-01 12:08:37+00:00      ...                    0\n\n[5 rows x 35 columns]",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time</th>\n      <th>sourceTimestamp</th>\n      <th>firstCreated</th>\n      <th>sourceId</th>\n      <th>headline</th>\n      <th>urgency</th>\n      <th>takeSequence</th>\n      <th>provider</th>\n      <th>subjects</th>\n      <th>audiences</th>\n      <th>bodySize</th>\n      <th>companyCount</th>\n      <th>headlineTag</th>\n      <th>marketCommentary</th>\n      <th>sentenceCount</th>\n      <th>wordCount</th>\n      <th>assetCodes</th>\n      <th>assetName</th>\n      <th>firstMentionSentence</th>\n      <th>relevance</th>\n      <th>sentimentClass</th>\n      <th>sentimentNegative</th>\n      <th>sentimentNeutral</th>\n      <th>sentimentPositive</th>\n      <th>sentimentWordCount</th>\n      <th>noveltyCount12H</th>\n      <th>noveltyCount24H</th>\n      <th>noveltyCount3D</th>\n      <th>noveltyCount5D</th>\n      <th>noveltyCount7D</th>\n      <th>volumeCounts12H</th>\n      <th>volumeCounts24H</th>\n      <th>volumeCounts3D</th>\n      <th>volumeCounts5D</th>\n      <th>volumeCounts7D</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2007-01-01 04:29:32+00:00</td>\n      <td>2007-01-01 04:29:32+00:00</td>\n      <td>2007-01-01 04:29:32+00:00</td>\n      <td>e58c6279551b85cf</td>\n      <td>China's Daqing pumps 43.41 mln tonnes of oil i...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'ENR', 'ASIA', 'CN', 'NGS', 'EMRG', 'RTRS', '...</td>\n      <td>{'Z', 'O', 'OIL'}</td>\n      <td>1438</td>\n      <td>1</td>\n      <td></td>\n      <td>False</td>\n      <td>11</td>\n      <td>275</td>\n      <td>{'0857.HK', '0857.F', '0857.DE', 'PTR.N'}</td>\n      <td>PetroChina Co Ltd</td>\n      <td>6</td>\n      <td>0.235702</td>\n      <td>-1</td>\n      <td>0.500739</td>\n      <td>0.419327</td>\n      <td>0.079934</td>\n      <td>73</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>6</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2007-01-01 07:03:35+00:00</td>\n      <td>2007-01-01 07:03:34+00:00</td>\n      <td>2007-01-01 07:03:34+00:00</td>\n      <td>5a31c4327427f63f</td>\n      <td>FEATURE-In kidnapping, finesse works best</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'FEA', 'CA', 'LATAM', 'MX', 'INS', 'ASIA', 'I...</td>\n      <td>{'PGE', 'PCO', 'G', 'ESN', 'MD', 'PCU', 'DNP',...</td>\n      <td>4413</td>\n      <td>1</td>\n      <td>FEATURE</td>\n      <td>False</td>\n      <td>55</td>\n      <td>907</td>\n      <td>{'STA.N'}</td>\n      <td>Travelers Companies Inc</td>\n      <td>8</td>\n      <td>0.447214</td>\n      <td>-1</td>\n      <td>0.600082</td>\n      <td>0.345853</td>\n      <td>0.054064</td>\n      <td>62</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2007-01-01 11:29:56+00:00</td>\n      <td>2007-01-01 11:29:56+00:00</td>\n      <td>2007-01-01 11:29:56+00:00</td>\n      <td>1cefd27a40fabdfe</td>\n      <td>PRESS DIGEST - Wall Street Journal - Jan 1</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'RET', 'ENR', 'ID', 'BG', 'US', 'PRESS', 'IQ'...</td>\n      <td>{'T', 'DNP', 'PSC', 'U', 'D', 'M', 'RNP', 'PTD...</td>\n      <td>2108</td>\n      <td>2</td>\n      <td>PRESS DIGEST</td>\n      <td>False</td>\n      <td>15</td>\n      <td>388</td>\n      <td>{'WMT.DE', 'WMT.N'}</td>\n      <td>Wal-Mart Stores Inc</td>\n      <td>14</td>\n      <td>0.377964</td>\n      <td>-1</td>\n      <td>0.450049</td>\n      <td>0.295671</td>\n      <td>0.254280</td>\n      <td>67</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>5</td>\n      <td>11</td>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2007-01-01 12:08:37+00:00</td>\n      <td>2007-01-01 12:08:37+00:00</td>\n      <td>2007-01-01 12:08:37+00:00</td>\n      <td>23768af19dc69992</td>\n      <td>PRESS DIGEST - New York Times - Jan 1</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'FUND', 'FIN', 'CA', 'SFWR', 'INS', 'PUB', 'B...</td>\n      <td>{'T', 'DNP', 'PSC', 'U', 'D', 'M', 'RNP', 'PTD...</td>\n      <td>1776</td>\n      <td>6</td>\n      <td>PRESS DIGEST</td>\n      <td>False</td>\n      <td>14</td>\n      <td>325</td>\n      <td>{'GOOG.O', 'GOOG.OQ', 'GOOGa.DE'}</td>\n      <td>Google Inc</td>\n      <td>13</td>\n      <td>0.149071</td>\n      <td>-1</td>\n      <td>0.752917</td>\n      <td>0.162715</td>\n      <td>0.084368</td>\n      <td>83</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>5</td>\n      <td>13</td>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2007-01-01 12:08:37+00:00</td>\n      <td>2007-01-01 12:08:37+00:00</td>\n      <td>2007-01-01 12:08:37+00:00</td>\n      <td>23768af19dc69992</td>\n      <td>PRESS DIGEST - New York Times - Jan 1</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'FUND', 'FIN', 'CA', 'SFWR', 'INS', 'PUB', 'B...</td>\n      <td>{'T', 'DNP', 'PSC', 'U', 'D', 'M', 'RNP', 'PTD...</td>\n      <td>1776</td>\n      <td>6</td>\n      <td>PRESS DIGEST</td>\n      <td>False</td>\n      <td>14</td>\n      <td>325</td>\n      <td>{'XMSR.O'}</td>\n      <td>XM Satellite Radio Holdings Inc</td>\n      <td>11</td>\n      <td>0.149071</td>\n      <td>-1</td>\n      <td>0.699274</td>\n      <td>0.209360</td>\n      <td>0.091366</td>\n      <td>102</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
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        "_uuid": "b1bf7d44d4d84e87ea29e9d6d4c3a75124bdd6c9"
      },
      "cell_type": "code",
      "source": "news_train_df.tail()",
      "execution_count": 209,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 209,
          "data": {
            "text/plain": "                             time      ...       volumeCounts7D\n9328745 2016-12-30 21:56:06+00:00      ...                   10\n9328746 2016-12-30 21:56:28+00:00      ...                   11\n9328747 2016-12-30 21:57:00+00:00      ...                   41\n9328748 2016-12-30 21:58:53+00:00      ...                    3\n9328749 2016-12-30 22:00:00+00:00      ...                    0\n\n[5 rows x 35 columns]",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time</th>\n      <th>sourceTimestamp</th>\n      <th>firstCreated</th>\n      <th>sourceId</th>\n      <th>headline</th>\n      <th>urgency</th>\n      <th>takeSequence</th>\n      <th>provider</th>\n      <th>subjects</th>\n      <th>audiences</th>\n      <th>bodySize</th>\n      <th>companyCount</th>\n      <th>headlineTag</th>\n      <th>marketCommentary</th>\n      <th>sentenceCount</th>\n      <th>wordCount</th>\n      <th>assetCodes</th>\n      <th>assetName</th>\n      <th>firstMentionSentence</th>\n      <th>relevance</th>\n      <th>sentimentClass</th>\n      <th>sentimentNegative</th>\n      <th>sentimentNeutral</th>\n      <th>sentimentPositive</th>\n      <th>sentimentWordCount</th>\n      <th>noveltyCount12H</th>\n      <th>noveltyCount24H</th>\n      <th>noveltyCount3D</th>\n      <th>noveltyCount5D</th>\n      <th>noveltyCount7D</th>\n      <th>volumeCounts12H</th>\n      <th>volumeCounts24H</th>\n      <th>volumeCounts3D</th>\n      <th>volumeCounts5D</th>\n      <th>volumeCounts7D</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>9328745</th>\n      <td>2016-12-30 21:56:06+00:00</td>\n      <td>2016-12-30 21:56:06+00:00</td>\n      <td>2016-12-30 21:56:06+00:00</td>\n      <td>fc80724160cc7bf4</td>\n      <td>INTREXON - ON DEC 30, CO, THIRD SECURITY EXECU...</td>\n      <td>1</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'HECA', 'PHMR', 'MRCH', 'US', 'RTRS', ...</td>\n      <td>{'E', 'U'}</td>\n      <td>0</td>\n      <td>1</td>\n      <td></td>\n      <td>False</td>\n      <td>1</td>\n      <td>35</td>\n      <td>{'XON.N'}</td>\n      <td>Intrexon Corp</td>\n      <td>1</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>0.115706</td>\n      <td>0.410445</td>\n      <td>0.473849</td>\n      <td>35</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>10</td>\n      <td>10</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>9328746</th>\n      <td>2016-12-30 21:56:28+00:00</td>\n      <td>2016-12-30 21:56:28+00:00</td>\n      <td>2016-12-30 21:56:06+00:00</td>\n      <td>2e3e5407e186dd51</td>\n      <td>INTREXON CORP - AMENDMENT EXTENDS TERM OF SERV...</td>\n      <td>1</td>\n      <td>2</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'DBT', 'HECA', 'PHMR', 'MRCH', 'BACT',...</td>\n      <td>{'E', 'U'}</td>\n      <td>0</td>\n      <td>1</td>\n      <td></td>\n      <td>False</td>\n      <td>1</td>\n      <td>20</td>\n      <td>{'XON.N'}</td>\n      <td>Intrexon Corp</td>\n      <td>1</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>0.032272</td>\n      <td>0.122635</td>\n      <td>0.845093</td>\n      <td>20</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>11</td>\n      <td>11</td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <th>9328747</th>\n      <td>2016-12-30 21:57:00+00:00</td>\n      <td>2016-12-30 21:57:00+00:00</td>\n      <td>2016-12-30 21:57:00+00:00</td>\n      <td>cef1bb88f92ca104</td>\n      <td>EQUITY ALERT: Rosen Law Firm Announces Investi...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>BSW</td>\n      <td>{'CMSS', 'CLJ', 'GEN', 'NEWR', 'HECA', 'PHMR',...</td>\n      <td>{'BSW', 'CNR'}</td>\n      <td>3734</td>\n      <td>1</td>\n      <td></td>\n      <td>False</td>\n      <td>16</td>\n      <td>664</td>\n      <td>{'SGEN.O', 'SGEN.OQ'}</td>\n      <td>Seattle Genetics Inc</td>\n      <td>1</td>\n      <td>1.0</td>\n      <td>-1</td>\n      <td>0.651900</td>\n      <td>0.227707</td>\n      <td>0.120393</td>\n      <td>360</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>4</td>\n      <td>4</td>\n      <td>1</td>\n      <td>2</td>\n      <td>18</td>\n      <td>41</td>\n      <td>41</td>\n    </tr>\n    <tr>\n      <th>9328748</th>\n      <td>2016-12-30 21:58:53+00:00</td>\n      <td>2016-12-30 21:58:53+00:00</td>\n      <td>2016-12-30 21:58:53+00:00</td>\n      <td>c26c3df1804571a6</td>\n      <td>PROFESSIONAL DIVERSITY NETWORK INC - FILES FOR...</td>\n      <td>1</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'SWIT', 'ITSE', 'SISU', 'BACT', 'TMT',...</td>\n      <td>{'E', 'U'}</td>\n      <td>0</td>\n      <td>1</td>\n      <td></td>\n      <td>False</td>\n      <td>1</td>\n      <td>23</td>\n      <td>{'IPDN.O', 'IPDN.OQ'}</td>\n      <td>Professional Diversity Network Inc</td>\n      <td>1</td>\n      <td>1.0</td>\n      <td>-1</td>\n      <td>0.816252</td>\n      <td>0.126928</td>\n      <td>0.056819</td>\n      <td>23</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>9328749</th>\n      <td>2016-12-30 22:00:00+00:00</td>\n      <td>2016-12-30 22:00:00+00:00</td>\n      <td>2016-12-30 22:00:00+00:00</td>\n      <td>daea2d46dc7f5303</td>\n      <td>JPMorgan China Region Fund, Inc. Board to Subm...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>BSW</td>\n      <td>{'CMSS', 'NEWR', 'INVT', 'BACT', 'BSUP', 'INDS...</td>\n      <td>{'BSW', 'CNR'}</td>\n      <td>2969</td>\n      <td>1</td>\n      <td></td>\n      <td>False</td>\n      <td>15</td>\n      <td>492</td>\n      <td>{'JFC.N'}</td>\n      <td>JPMorgan China Region Fund Inc</td>\n      <td>1</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>0.130152</td>\n      <td>0.388845</td>\n      <td>0.481002</td>\n      <td>383</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true,
        "_uuid": "2b07741b12919008c2b7c3706b31569d9f5ce03a"
      },
      "cell_type": "code",
      "source": "print(len(set(news_train_df['sourceId'])))\nprint(set(news_train_df['urgency'])) # 1:alert; 2:?; 3: article; higher the number, higher the urgency\nprint(set(news_train_df['takeSequence']))\nprint(len(set(news_train_df['provider'])))\nprint(len(set(news_train_df['audiences']))) # desktop news product\nprint(set(news_train_df['headlineTag']))\n",
      "execution_count": 224,
      "outputs": [
        {
          "output_type": "stream",
          "text": "6340206\n{1, 2, 3}\n{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97}\n30\n88488\n{'', 'CBOT', 'NORDIC POWER', 'POLL', 'EXCLUSIVE', 'MARKET EYE', 'EMERGING MARKETS', 'UPDATE 7', 'Asia Distillates', 'INSTANT VIEW 4', 'ANALYSIS', 'AIRSHOW', 'MARKET PULSE', 'STOCKS NEWS US', 'UPDATE 3', 'INTERVIEW', 'Singapore Stocks', 'LIVESTOCK', 'TABLE', 'WRAPUP 5', 'MMNEWS', 'SPECIAL REPORT', 'Before the Bell', 'Special Report', 'NEWSMAKER', 'METALS', 'Swiss stocks', 'MIDEAST STOCKS', 'MIDEAST DEBT', 'Europe coffee', 'INSIGHT', 'GULF STOCKS', 'OPINION', 'SNAPSHOT', 'US RESEARCH SUMMARY', 'STXNEWS LATAM', 'NEW ISSUE', 'COLUMN', 'WEEK AHEAD', 'STOCKS NEWS SINGAPORE', 'UPDATE 1', 'IPO VIEW', 'BREAKINGVIEWS', 'EURO CORP', 'Thai Hot Stocks', 'After the Bell', 'WRAPUP 4', 'U.S. Cash Crude', 'STOCKS NEWS EUROPE', 'WRAPUP 2', 'REUTERS SUMMIT', 'GLOBAL MARKETS', 'RUBBER', 'UPDATE 5', 'UPDATE 6', 'RLPC', 'NYMEX', 'EMERGING EUROPE STOCKS', 'TECHNICALS', 'WRAPUP 1', 'EURO COAL', 'UPDATE 8', 'COMMODITIES', 'GRAPHIC', 'PREVIEW', 'URGENT', 'UPDATE 9', 'CANADA FX', 'ANALYST VIEW', 'NORDIC STOCKS', 'TREASURIES', 'US STOCKS SNAPSHOT', 'WRAPUP 6', 'UPDATE 2', 'TIMELINE', 'MONEY MARKETS', 'WRAPUP', 'Lifting the Lid', 'STOCKS NEWS VIETNAM', 'RESEARCH ALERT', 'GRAINS', 'Wall Street Week Ahead', 'ADVISORY', 'Japan Hot Stocks', 'BEFORE THE BELL', 'SUMMIT', 'U.S. STOCKS', 'U.S. REFINERY FILING', 'METALS INSIDER', 'STOCKS NEWS INDONESIA', 'UPDATE 4', 'STOCKS NEWS MIDEAST', 'BUZZ', 'New Issue', 'IPO View', 'CANADA STOCKS', 'TOPWRAP', 'FUND VIEW', 'PRECIOUS', 'LPC', 'Malaysia Stocks', 'INSTANT VIEW 3', 'FINEWS', 'U.S. RESEARCH ROUNDUP', 'UPDATE', 'STOCKS NEWS MALAYSIA', 'HIGHLIGHTS', 'INSTANT VIEW 2', 'WRAPUP 3', 'SNAP ANALYSIS', 'INSTANT VIEW', 'AFRICA INVESTMENT', 'IPOVIEW', 'SOFTS', 'CANADA RESEARCH ROUNDUP', 'PRESS DIGEST', 'NORWAY GAS', 'TEXT', 'CORRECTED', 'STOCKS NEWS UK SMALL', 'ADR Report', 'US STOCKS', 'INSTANT VIEW 7', 'EURO GOVT', 'REFILE', 'EUROPE MINOR METALS', 'DEALTALK', 'TAKE A LOOK', 'BUY OR SELL', 'REUTERS SURVEY', 'INSTANT VIEW 1', 'REUTERS POLL', 'MARKET EYE WEEKAHEAD', 'Q&A', 'EUROPE RESEARCH ROUNDUP', 'INSTANT VIEW 6', 'US RESEARCH NEWS', 'RPT', \"ANALYSTS' VIEW\", 'CEE MARKETS', 'YOUR MONEY', 'FEATURE', 'FXNEWS', 'CHRONOLOGY', 'FACTBOX', 'U.S. Cash Products', 'US CREDIT', 'EARNINGS POLL', 'UK Stocks', 'UK GAS', 'MOVES', 'Snapshot', 'WITNESS', 'BRIEF', 'OBITUARY', 'STOCKS NEWS AFRICA', 'TRADE IDEA', 'MIDEAST MONEY', 'HEADLINE STOCKS', 'OUTLOOK', 'VEGOILS', 'INSTANT VIEW 5', 'FOREX'}\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "8593a1b669d57c45bf7a04354cc4ee163e4cbda0"
      },
      "cell_type": "code",
      "source": "news_train_df[news_train_df['takeSequence'] == 97].iloc[0,4] # why this piece has so many take sequence numbers? Need investigation",
      "execution_count": 219,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 219,
          "data": {
            "text/plain": "'BSE Block Deal ICICI Bank 200000 shares at 1098.80 INR  <ICBK.BO>'"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "d052998a8302dd658a121b6c80f4efdd6bb36037"
      },
      "cell_type": "code",
      "source": "# Alerts only have headline, so bodySize for alerts are all 0\nbodySize = news_train_df['bodySize']\nprint(max(bodySize))\nprint(min(bodySize))\nprint(np.mean(bodySize))",
      "execution_count": 223,
      "outputs": [
        {
          "output_type": "stream",
          "text": "122770\n0\n3768.9183783465096\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "ed064fe85d821b1c8a311056dbbfa75d1fe814a2"
      },
      "cell_type": "code",
      "source": "# Number of companies explicitly mentioned in the news\ncompanyCount = news_train_df['companyCount']\nprint(max(companyCount))\nprint(min(companyCount))\nprint(np.mean(companyCount))",
      "execution_count": 229,
      "outputs": [
        {
          "output_type": "stream",
          "text": "43\n1\n5.02771979096878\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "8447c2553f83009af533daf96501eae5ca8d5191"
      },
      "cell_type": "code",
      "source": "# the rows are not by news, but by news*asset combination!!!\ntmp = news_train_df[news_train_df['companyCount'] == 43 ]\ntmp",
      "execution_count": 233,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 233,
          "data": {
            "text/plain": "                             time      ...       volumeCounts7D\n5951141 2013-09-12 10:13:19+00:00      ...                    4\n5951142 2013-09-12 10:13:19+00:00      ...                   26\n5951143 2013-09-12 10:13:19+00:00      ...                   10\n5951144 2013-09-12 10:13:19+00:00      ...                    6\n5951145 2013-09-12 10:13:19+00:00      ...                   24\n5951146 2013-09-12 10:13:19+00:00      ...                   18\n5951147 2013-09-12 10:13:19+00:00      ...                   16\n5951148 2013-09-12 10:13:19+00:00      ...                   22\n5951149 2013-09-12 10:13:19+00:00      ...                    7\n5951150 2013-09-12 10:13:19+00:00      ...                   31\n5951151 2013-09-12 10:13:19+00:00      ...                   21\n5951152 2013-09-12 10:13:19+00:00      ...                   13\n5951153 2013-09-12 10:13:19+00:00      ...                   10\n5951154 2013-09-12 10:13:19+00:00      ...                   30\n5951155 2013-09-12 10:13:19+00:00      ...                   34\n5951156 2013-09-12 10:13:19+00:00      ...                   33\n5951157 2013-09-12 10:13:19+00:00      ...                   30\n5951158 2013-09-12 10:13:19+00:00      ...                   32\n5951159 2013-09-12 10:13:19+00:00      ...                    9\n5951160 2013-09-12 10:13:19+00:00      ...                   21\n5951161 2013-09-12 10:13:19+00:00      ...                   33\n5951162 2013-09-12 10:13:19+00:00      ...                    8\n5951163 2013-09-12 10:13:19+00:00      ...                   21\n5951164 2013-09-12 10:13:19+00:00      ...                   10\n5951165 2013-09-12 10:13:19+00:00      ...                    8\n5951166 2013-09-12 10:13:19+00:00      ...                   14\n5951167 2013-09-12 10:13:19+00:00      ...                   55\n5951168 2013-09-12 10:13:19+00:00      ...                   18\n5951169 2013-09-12 10:13:19+00:00      ...                   26\n5951170 2013-09-12 10:13:19+00:00      ...                    3\n...                           ...      ...                  ...\n8918819 2016-07-18 11:32:37+00:00      ...                    3\n8918820 2016-07-18 11:32:37+00:00      ...                    4\n8918821 2016-07-18 11:32:37+00:00      ...                   10\n8918822 2016-07-18 11:32:37+00:00      ...                    4\n8918823 2016-07-18 11:32:37+00:00      ...                   24\n8918824 2016-07-18 11:32:37+00:00      ...                   29\n8918825 2016-07-18 11:32:37+00:00      ...                    9\n8918826 2016-07-18 11:32:37+00:00      ...                   13\n8918827 2016-07-18 11:32:37+00:00      ...                   21\n8918828 2016-07-18 11:32:37+00:00      ...                    7\n8918829 2016-07-18 11:32:37+00:00      ...                    3\n8918830 2016-07-18 11:32:37+00:00      ...                    9\n8918831 2016-07-18 11:32:37+00:00      ...                   10\n8918832 2016-07-18 11:32:37+00:00      ...                    6\n8918833 2016-07-18 11:32:37+00:00      ...                  186\n8918834 2016-07-18 11:32:37+00:00      ...                   13\n8918835 2016-07-18 11:32:37+00:00      ...                    8\n8918836 2016-07-18 11:32:37+00:00      ...                   17\n8918837 2016-07-18 11:32:37+00:00      ...                   17\n8918838 2016-07-18 11:32:37+00:00      ...                    9\n8918839 2016-07-18 11:32:37+00:00      ...                   14\n8918840 2016-07-18 11:32:37+00:00      ...                    4\n8918841 2016-07-18 11:32:37+00:00      ...                    2\n8918842 2016-07-18 11:32:37+00:00      ...                   19\n8918843 2016-07-18 11:32:37+00:00      ...                   45\n8918844 2016-07-18 11:32:37+00:00      ...                   47\n8918845 2016-07-18 11:32:37+00:00      ...                   11\n8918846 2016-07-18 11:32:37+00:00      ...                   11\n8918847 2016-07-18 11:32:37+00:00      ...                    9\n8918848 2016-07-18 11:32:37+00:00      ...                    5\n\n[516 rows x 35 columns]",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time</th>\n      <th>sourceTimestamp</th>\n      <th>firstCreated</th>\n      <th>sourceId</th>\n      <th>headline</th>\n      <th>urgency</th>\n      <th>takeSequence</th>\n      <th>provider</th>\n      <th>subjects</th>\n      <th>audiences</th>\n      <th>bodySize</th>\n      <th>companyCount</th>\n      <th>headlineTag</th>\n      <th>marketCommentary</th>\n      <th>sentenceCount</th>\n      <th>wordCount</th>\n      <th>assetCodes</th>\n      <th>assetName</th>\n      <th>firstMentionSentence</th>\n      <th>relevance</th>\n      <th>sentimentClass</th>\n      <th>sentimentNegative</th>\n      <th>sentimentNeutral</th>\n      <th>sentimentPositive</th>\n      <th>sentimentWordCount</th>\n      <th>noveltyCount12H</th>\n      <th>noveltyCount24H</th>\n      <th>noveltyCount3D</th>\n      <th>noveltyCount5D</th>\n      <th>noveltyCount7D</th>\n      <th>volumeCounts12H</th>\n      <th>volumeCounts24H</th>\n      <th>volumeCounts3D</th>\n      <th>volumeCounts5D</th>\n      <th>volumeCounts7D</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>5951141</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'BRE.N'}</td>\n      <td>BRE Properties Inc</td>\n      <td>12</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.643808</td>\n      <td>0.124528</td>\n      <td>0.231663</td>\n      <td>95</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>5951142</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'BXP.N'}</td>\n      <td>Boston Properties Inc</td>\n      <td>11</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.817966</td>\n      <td>0.125922</td>\n      <td>0.056113</td>\n      <td>58</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>19</td>\n      <td>19</td>\n      <td>26</td>\n      <td>26</td>\n      <td>26</td>\n    </tr>\n    <tr>\n      <th>5951143</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'OFC.N'}</td>\n      <td>Corporate Office Properties Trust</td>\n      <td>15</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.817621</td>\n      <td>0.126125</td>\n      <td>0.056255</td>\n      <td>60</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>3</td>\n      <td>10</td>\n      <td>10</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>5951144</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'TAP.N', 'TAPa.N'}</td>\n      <td>Molson Coors Brewing Co</td>\n      <td>42</td>\n      <td>0.015208</td>\n      <td>1</td>\n      <td>0.353526</td>\n      <td>0.169808</td>\n      <td>0.476666</td>\n      <td>66</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>5951145</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'NFLX.O', 'NFLX.OQ'}</td>\n      <td>Netflix Inc</td>\n      <td>5</td>\n      <td>0.030415</td>\n      <td>1</td>\n      <td>0.035229</td>\n      <td>0.134200</td>\n      <td>0.830571</td>\n      <td>93</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>7</td>\n      <td>23</td>\n      <td>23</td>\n      <td>24</td>\n    </tr>\n    <tr>\n      <th>5951146</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'MA.N'}</td>\n      <td>Mastercard Inc</td>\n      <td>1</td>\n      <td>1.000000</td>\n      <td>1</td>\n      <td>0.034008</td>\n      <td>0.134484</td>\n      <td>0.831508</td>\n      <td>210</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>7</td>\n      <td>17</td>\n      <td>18</td>\n      <td>18</td>\n      <td>18</td>\n    </tr>\n    <tr>\n      <th>5951147</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'DDR.N'}</td>\n      <td>DDR Corp</td>\n      <td>16</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.805798</td>\n      <td>0.132942</td>\n      <td>0.061260</td>\n      <td>74</td>\n      <td>0</td>\n      <td>0</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>7</td>\n      <td>8</td>\n      <td>16</td>\n      <td>16</td>\n      <td>16</td>\n    </tr>\n    <tr>\n      <th>5951148</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'EGP.N'}</td>\n      <td>Eastgroup Properties Inc</td>\n      <td>19</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.817876</td>\n      <td>0.125975</td>\n      <td>0.056150</td>\n      <td>57</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>22</td>\n      <td>22</td>\n      <td>22</td>\n      <td>22</td>\n      <td>22</td>\n    </tr>\n    <tr>\n      <th>5951149</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'FRT.N'}</td>\n      <td>Federal Realty Investment Trust</td>\n      <td>25</td>\n      <td>0.015208</td>\n      <td>1</td>\n      <td>0.112722</td>\n      <td>0.159227</td>\n      <td>0.728051</td>\n      <td>56</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>6</td>\n      <td>6</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>5951150</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'HCP.N'}</td>\n      <td>HCP Inc</td>\n      <td>28</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.818998</td>\n      <td>0.125314</td>\n      <td>0.055688</td>\n      <td>57</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30</td>\n      <td>30</td>\n      <td>31</td>\n      <td>31</td>\n      <td>31</td>\n    </tr>\n    <tr>\n      <th>5951151</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'LRY.N'}</td>\n      <td>Liberty Property Trust</td>\n      <td>36</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.816911</td>\n      <td>0.126541</td>\n      <td>0.056547</td>\n      <td>59</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>5951152</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'MAC.N'}</td>\n      <td>Macerich Co</td>\n      <td>37</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.631357</td>\n      <td>0.129588</td>\n      <td>0.239055</td>\n      <td>56</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>5951153</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'KIM.N'}</td>\n      <td>Kimco Realty Corp</td>\n      <td>34</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.674271</td>\n      <td>0.117423</td>\n      <td>0.208306</td>\n      <td>98</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>4</td>\n      <td>5</td>\n      <td>9</td>\n      <td>9</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>5951154</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'KRC.N'}</td>\n      <td>Kilroy Realty Corp</td>\n      <td>34</td>\n      <td>0.030415</td>\n      <td>-1</td>\n      <td>0.673201</td>\n      <td>0.117783</td>\n      <td>0.209016</td>\n      <td>98</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>26</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>5951155</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'EQR.N'}</td>\n      <td>Equity Residential</td>\n      <td>21</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.791642</td>\n      <td>0.140251</td>\n      <td>0.068107</td>\n      <td>58</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>33</td>\n      <td>33</td>\n      <td>34</td>\n      <td>34</td>\n      <td>34</td>\n    </tr>\n    <tr>\n      <th>5951156</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'ESS.N'}</td>\n      <td>Essex Property Trust Inc</td>\n      <td>22</td>\n      <td>0.015208</td>\n      <td>1</td>\n      <td>0.097859</td>\n      <td>0.209089</td>\n      <td>0.693052</td>\n      <td>57</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>32</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n    </tr>\n    <tr>\n      <th>5951157</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'HCN.N'}</td>\n      <td>Welltower Inc</td>\n      <td>30</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.818073</td>\n      <td>0.125859</td>\n      <td>0.056069</td>\n      <td>60</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>28</td>\n      <td>28</td>\n      <td>29</td>\n      <td>29</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>5951158</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'HIW.N'}</td>\n      <td>Highwoods Properties Inc</td>\n      <td>31</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.785410</td>\n      <td>0.144665</td>\n      <td>0.069925</td>\n      <td>59</td>\n      <td>0</td>\n      <td>0</td>\n      <td>5</td>\n      <td>6</td>\n      <td>6</td>\n      <td>16</td>\n      <td>16</td>\n      <td>22</td>\n      <td>25</td>\n      <td>32</td>\n    </tr>\n    <tr>\n      <th>5951159</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'INXN.N'}</td>\n      <td>InterXion Holding NV</td>\n      <td>33</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.540870</td>\n      <td>0.145355</td>\n      <td>0.313775</td>\n      <td>98</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>8</td>\n      <td>8</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>5951160</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'CBL.N'}</td>\n      <td>CBL &amp; Associates Properties Inc</td>\n      <td>14</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.638915</td>\n      <td>0.125630</td>\n      <td>0.235455</td>\n      <td>97</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>13</td>\n      <td>14</td>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>5951161</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'DRE.N'}</td>\n      <td>Duke Realty Corp</td>\n      <td>18</td>\n      <td>0.030415</td>\n      <td>-1</td>\n      <td>0.805317</td>\n      <td>0.132986</td>\n      <td>0.061697</td>\n      <td>71</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n    </tr>\n    <tr>\n      <th>5951162</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'EQY.N'}</td>\n      <td>Equity One Inc</td>\n      <td>20</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.818518</td>\n      <td>0.125596</td>\n      <td>0.055885</td>\n      <td>57</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>5951163</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'LM.N'}</td>\n      <td>Legg Mason Inc</td>\n      <td>34</td>\n      <td>0.030415</td>\n      <td>-1</td>\n      <td>0.674271</td>\n      <td>0.117423</td>\n      <td>0.208306</td>\n      <td>98</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>5</td>\n      <td>19</td>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>5951164</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'AKR.N'}</td>\n      <td>Acadia Realty Trust</td>\n      <td>8</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.725815</td>\n      <td>0.123217</td>\n      <td>0.150968</td>\n      <td>115</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>5951165</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'ARE.N'}</td>\n      <td>Alexandria Real Estate Equities Inc</td>\n      <td>7</td>\n      <td>0.030415</td>\n      <td>-1</td>\n      <td>0.814747</td>\n      <td>0.127811</td>\n      <td>0.057442</td>\n      <td>65</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>3</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>5951166</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'AVB.N'}</td>\n      <td>AvalonBay Communities Inc</td>\n      <td>3</td>\n      <td>0.045622</td>\n      <td>1</td>\n      <td>0.101373</td>\n      <td>0.156193</td>\n      <td>0.742434</td>\n      <td>158</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>13</td>\n      <td>13</td>\n      <td>14</td>\n      <td>14</td>\n      <td>14</td>\n    </tr>\n    <tr>\n      <th>5951167</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'QCOM.OQ', 'QCOM.O'}</td>\n      <td>Qualcomm Inc</td>\n      <td>47</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.818466</td>\n      <td>0.125627</td>\n      <td>0.055907</td>\n      <td>148</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>7</td>\n      <td>30</td>\n      <td>43</td>\n      <td>44</td>\n      <td>55</td>\n    </tr>\n    <tr>\n      <th>5951168</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'DEI.N'}</td>\n      <td>Douglas Emmett Inc</td>\n      <td>17</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.760494</td>\n      <td>0.133747</td>\n      <td>0.105760</td>\n      <td>73</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>18</td>\n      <td>18</td>\n      <td>18</td>\n      <td>18</td>\n      <td>18</td>\n    </tr>\n    <tr>\n      <th>5951169</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'HR.N'}</td>\n      <td>Healthcare Realty Trust Inc</td>\n      <td>29</td>\n      <td>0.015208</td>\n      <td>-1</td>\n      <td>0.819049</td>\n      <td>0.125284</td>\n      <td>0.055667</td>\n      <td>58</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>26</td>\n      <td>26</td>\n      <td>26</td>\n      <td>26</td>\n      <td>26</td>\n    </tr>\n    <tr>\n      <th>5951170</th>\n      <td>2013-09-12 10:13:19+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>2013-09-12 10:13:18+00:00</td>\n      <td>d6de134f025a1ace</td>\n      <td>U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stan...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'PPRO', 'INVB', 'FOBE', 'RUBB', 'HECA'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>6962</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>54</td>\n      <td>1351</td>\n      <td>{'EL.N'}</td>\n      <td>Estee Lauder Companies Inc</td>\n      <td>23</td>\n      <td>0.015208</td>\n      <td>1</td>\n      <td>0.068789</td>\n      <td>0.144065</td>\n      <td>0.787146</td>\n      <td>57</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</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      <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>8918819</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'BRX.N'}</td>\n      <td>Brixmor Property Group Inc</td>\n      <td>27</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.010135</td>\n      <td>0.441816</td>\n      <td>0.548049</td>\n      <td>226</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>8918820</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'SFR.N'}</td>\n      <td>Colony Starwood Homes</td>\n      <td>41</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.361323</td>\n      <td>0.203535</td>\n      <td>0.435141</td>\n      <td>46</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>8918821</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'AAC.N'}</td>\n      <td>AAC Holdings Inc</td>\n      <td>5</td>\n      <td>0.009686</td>\n      <td>-1</td>\n      <td>0.808557</td>\n      <td>0.131422</td>\n      <td>0.060021</td>\n      <td>70</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>10</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>8918822</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CCP.N'}</td>\n      <td>Care Capital Properties Inc</td>\n      <td>27</td>\n      <td>0.019372</td>\n      <td>1</td>\n      <td>0.010135</td>\n      <td>0.441816</td>\n      <td>0.548049</td>\n      <td>226</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>8918823</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'AET.N'}</td>\n      <td>Aetna Inc</td>\n      <td>9</td>\n      <td>0.009686</td>\n      <td>-1</td>\n      <td>0.817317</td>\n      <td>0.126303</td>\n      <td>0.056380</td>\n      <td>43</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>10</td>\n      <td>10</td>\n      <td>11</td>\n      <td>16</td>\n      <td>24</td>\n    </tr>\n    <tr>\n      <th>8918824</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'APC.N'}</td>\n      <td>Anadarko Petroleum Corp</td>\n      <td>18</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.007397</td>\n      <td>0.442955</td>\n      <td>0.549648</td>\n      <td>44</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>5</td>\n      <td>13</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>10</td>\n      <td>29</td>\n    </tr>\n    <tr>\n      <th>8918825</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CNX.N'}</td>\n      <td>CONSOL Energy Inc</td>\n      <td>43</td>\n      <td>0.009686</td>\n      <td>-1</td>\n      <td>0.817428</td>\n      <td>0.126238</td>\n      <td>0.056334</td>\n      <td>42</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>8918826</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'XEC.N'}</td>\n      <td>Cimarex Energy Co</td>\n      <td>32</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.007363</td>\n      <td>0.442562</td>\n      <td>0.550075</td>\n      <td>46</td>\n      <td>1</td>\n      <td>1</td>\n      <td>4</td>\n      <td>9</td>\n      <td>9</td>\n      <td>2</td>\n      <td>2</td>\n      <td>6</td>\n      <td>12</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>8918827</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CXO.N'}</td>\n      <td>Concho Resources Inc</td>\n      <td>42</td>\n      <td>0.009686</td>\n      <td>-1</td>\n      <td>0.817228</td>\n      <td>0.126355</td>\n      <td>0.056417</td>\n      <td>42</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>4</td>\n      <td>2</td>\n      <td>2</td>\n      <td>5</td>\n      <td>14</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>8918828</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'AGNC.OQ', 'AGNC.O'}</td>\n      <td>AGNC Investment Corp</td>\n      <td>15</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.313020</td>\n      <td>0.243117</td>\n      <td>0.443863</td>\n      <td>49</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>8918829</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'BKFS.N'}</td>\n      <td>Black Knight Financial Services Inc</td>\n      <td>27</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.010135</td>\n      <td>0.441816</td>\n      <td>0.548049</td>\n      <td>226</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>8918830</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CIO.N'}</td>\n      <td>City Office REIT Inc</td>\n      <td>36</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.006553</td>\n      <td>0.432452</td>\n      <td>0.560995</td>\n      <td>46</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>8</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>8918831</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'ACC.N'}</td>\n      <td>American Campus Communities Inc</td>\n      <td>13</td>\n      <td>0.019372</td>\n      <td>-1</td>\n      <td>0.815248</td>\n      <td>0.127518</td>\n      <td>0.057235</td>\n      <td>48</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>5</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>8918832</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'AMSF.O', 'AMSF.OQ'}</td>\n      <td>Amerisafe Inc</td>\n      <td>16</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.007442</td>\n      <td>0.443481</td>\n      <td>0.549077</td>\n      <td>48</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>4</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>8918833</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'C', 'C.N'}</td>\n      <td>Citigroup Inc</td>\n      <td>3</td>\n      <td>0.067802</td>\n      <td>1</td>\n      <td>0.386114</td>\n      <td>0.166975</td>\n      <td>0.446911</td>\n      <td>457</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>12</td>\n      <td>12</td>\n      <td>112</td>\n      <td>160</td>\n      <td>186</td>\n    </tr>\n    <tr>\n      <th>8918834</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'SCHW.N'}</td>\n      <td>Charles Schwab Corp</td>\n      <td>28</td>\n      <td>0.009686</td>\n      <td>0</td>\n      <td>0.023015</td>\n      <td>0.527066</td>\n      <td>0.449919</td>\n      <td>73</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>5</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>8918835</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CMG.N'}</td>\n      <td>Chipotle Mexican Grill Inc</td>\n      <td>28</td>\n      <td>0.009686</td>\n      <td>0</td>\n      <td>0.023015</td>\n      <td>0.527066</td>\n      <td>0.449919</td>\n      <td>73</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>1</td>\n      <td>1</td>\n      <td>6</td>\n      <td>7</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>8918836</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'COH.N'}</td>\n      <td>Coach Inc</td>\n      <td>2</td>\n      <td>0.029058</td>\n      <td>1</td>\n      <td>0.223029</td>\n      <td>0.173134</td>\n      <td>0.603837</td>\n      <td>206</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>17</td>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>8918837</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'ANTM.N'}</td>\n      <td>Anthem Inc</td>\n      <td>21</td>\n      <td>0.009686</td>\n      <td>-1</td>\n      <td>0.817955</td>\n      <td>0.125928</td>\n      <td>0.056117</td>\n      <td>40</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n      <td>10</td>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>8918838</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CNC.N'}</td>\n      <td>Centene Corp</td>\n      <td>27</td>\n      <td>0.019372</td>\n      <td>1</td>\n      <td>0.010135</td>\n      <td>0.441816</td>\n      <td>0.548049</td>\n      <td>226</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>8918839</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CI.N'}</td>\n      <td>Cigna Corp</td>\n      <td>31</td>\n      <td>0.009686</td>\n      <td>-1</td>\n      <td>0.433106</td>\n      <td>0.166380</td>\n      <td>0.400514</td>\n      <td>43</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>4</td>\n      <td>5</td>\n      <td>5</td>\n      <td>7</td>\n      <td>14</td>\n    </tr>\n    <tr>\n      <th>8918840</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CY.OQ', 'CY.O'}</td>\n      <td>Cypress Semiconductor Corp</td>\n      <td>2</td>\n      <td>0.019372</td>\n      <td>-1</td>\n      <td>0.654371</td>\n      <td>0.145127</td>\n      <td>0.200502</td>\n      <td>173</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>8918841</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CPT.N'}</td>\n      <td>Camden Property Trust</td>\n      <td>27</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.010135</td>\n      <td>0.441816</td>\n      <td>0.548049</td>\n      <td>226</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>8918842</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'HUM.N'}</td>\n      <td>Humana Inc</td>\n      <td>1</td>\n      <td>1.000000</td>\n      <td>1</td>\n      <td>0.282681</td>\n      <td>0.173442</td>\n      <td>0.543877</td>\n      <td>277</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n      <td>10</td>\n      <td>19</td>\n    </tr>\n    <tr>\n      <th>8918843</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'T.N', 'T.DE'}</td>\n      <td>AT&amp;T Inc</td>\n      <td>26</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.007665</td>\n      <td>0.445518</td>\n      <td>0.546816</td>\n      <td>238</td>\n      <td>1</td>\n      <td>1</td>\n      <td>5</td>\n      <td>10</td>\n      <td>11</td>\n      <td>7</td>\n      <td>7</td>\n      <td>14</td>\n      <td>39</td>\n      <td>45</td>\n    </tr>\n    <tr>\n      <th>8918844</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'AMGN.O', 'AMGN.DE', 'AMGN.OQ'}</td>\n      <td>Amgen Inc</td>\n      <td>17</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.007442</td>\n      <td>0.443481</td>\n      <td>0.549077</td>\n      <td>48</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>21</td>\n      <td>47</td>\n    </tr>\n    <tr>\n      <th>8918845</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'CRZO.OQ', 'CRZO.O'}</td>\n      <td>Carrizo Oil &amp; Gas Inc</td>\n      <td>27</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.010135</td>\n      <td>0.441816</td>\n      <td>0.548049</td>\n      <td>226</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>6</td>\n      <td>7</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>8</td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <th>8918846</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'ANCX.O', 'ANCX.OQ'}</td>\n      <td>Access National Corp</td>\n      <td>7</td>\n      <td>0.019372</td>\n      <td>-1</td>\n      <td>0.539099</td>\n      <td>0.226609</td>\n      <td>0.234292</td>\n      <td>45</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>11</td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <th>8918847</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'BXP.N'}</td>\n      <td>Boston Properties Inc</td>\n      <td>27</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.010135</td>\n      <td>0.441816</td>\n      <td>0.548049</td>\n      <td>226</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>9</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>8918848</th>\n      <td>2016-07-18 11:32:37+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>2016-07-18 11:32:36+00:00</td>\n      <td>9fc87091844fa8be</td>\n      <td>U.S. RESEARCH ROUNDUP-Merck, Monster Beverage,...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'INVB', 'HECA', 'COMP', 'REIC', 'FINS'...</td>\n      <td>{'E', 'PSC', 'NAW', 'U'}</td>\n      <td>18787</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>99</td>\n      <td>3574</td>\n      <td>{'COG.N'}</td>\n      <td>Cabot Oil &amp; Gas Corp</td>\n      <td>27</td>\n      <td>0.009686</td>\n      <td>1</td>\n      <td>0.010135</td>\n      <td>0.441816</td>\n      <td>0.548049</td>\n      <td>226</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>3</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>5</td>\n      <td>5</td>\n    </tr>\n  </tbody>\n</table>\n<p>516 rows × 35 columns</p>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "0a8327ad135ee7652c7fd4e3cf50e89fa76ea530"
      },
      "cell_type": "code",
      "source": "set(tmp['headline'])",
      "execution_count": 235,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 235,
          "data": {
            "text/plain": "{'U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Imperva',\n 'U.S. RESEARCH ROUNDUP-Allegiant Travel, Anadarko Petroleum, Aon',\n 'U.S. RESEARCH ROUNDUP-Allegiant Travel, Anadarko Petroleum, Bon-Ton Stores ',\n 'U.S. RESEARCH ROUNDUP-Bank of America, Olympic Steel, Basic Energy    ',\n 'U.S. RESEARCH ROUNDUP-Merck, Monster Beverage, Humana  ',\n 'U.S. RESEARCH ROUNDUP-Procter & Gamble, Barrick Gold, Wynn Resorts',\n 'U.S. RESEARCH ROUNDUP-Wells Fargo, Helmerich and Payne, Aon',\n 'U.S. RESEARCH ROUNDUP: MasterCard, Morgan Stanley, Facebook'}"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "83f1f6b45ada7eb41f163cadef464fc31614911b"
      },
      "cell_type": "code",
      "source": "print(news_train_df[news_train_df['headline'] ==  'U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Imperva'].shape)\nprint(news_train_df[news_train_df['headline'] ==  'U.S. RESEARCH ROUNDUP-Allegiant Travel, Anadarko Petroleum, Aon'].shape)",
      "execution_count": 239,
      "outputs": [
        {
          "output_type": "stream",
          "text": "(43, 35)\n(43, 35)\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "b971ee0d98abd007d6d8a121f1ae846ac28ac349"
      },
      "cell_type": "code",
      "source": "# For example: https://www.reuters.com/article/research-us-idUSL3N12U3BS20151030\n# Companies in the headline are just highlights\nnews_train_df[news_train_df['headline'] ==  'U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Imperva']",
      "execution_count": 240,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 240,
          "data": {
            "text/plain": "                             time      ...       volumeCounts7D\n8905654 2016-07-12 11:47:18+00:00      ...                    4\n8905655 2016-07-12 11:47:18+00:00      ...                   13\n8905656 2016-07-12 11:47:18+00:00      ...                   35\n8905657 2016-07-12 11:47:18+00:00      ...                    7\n8905658 2016-07-12 11:47:18+00:00      ...                    8\n8905659 2016-07-12 11:47:18+00:00      ...                   29\n8905660 2016-07-12 11:47:18+00:00      ...                    9\n8905661 2016-07-12 11:47:18+00:00      ...                    3\n8905662 2016-07-12 11:47:18+00:00      ...                   10\n8905663 2016-07-12 11:47:18+00:00      ...                    5\n8905664 2016-07-12 11:47:18+00:00      ...                   25\n8905665 2016-07-12 11:47:18+00:00      ...                    4\n8905666 2016-07-12 11:47:18+00:00      ...                   66\n8905667 2016-07-12 11:47:18+00:00      ...                   62\n8905668 2016-07-12 11:47:18+00:00      ...                   17\n8905669 2016-07-12 11:47:18+00:00      ...                   35\n8905670 2016-07-12 11:47:18+00:00      ...                    9\n8905671 2016-07-12 11:47:18+00:00      ...                   12\n8905672 2016-07-12 11:47:18+00:00      ...                   29\n8905673 2016-07-12 11:47:18+00:00      ...                   28\n8905674 2016-07-12 11:47:18+00:00      ...                   71\n8905675 2016-07-12 11:47:18+00:00      ...                    4\n8905676 2016-07-12 11:47:18+00:00      ...                    8\n8905677 2016-07-12 11:47:18+00:00      ...                   23\n8905678 2016-07-12 11:47:18+00:00      ...                    8\n8905679 2016-07-12 11:47:18+00:00      ...                    3\n8905680 2016-07-12 11:47:18+00:00      ...                    2\n8905681 2016-07-12 11:47:18+00:00      ...                   12\n8905682 2016-07-12 11:47:18+00:00      ...                   10\n8905683 2016-07-12 11:47:18+00:00      ...                    9\n8905684 2016-07-12 11:47:18+00:00      ...                   43\n8905685 2016-07-12 11:47:18+00:00      ...                    4\n8905686 2016-07-12 11:47:18+00:00      ...                    3\n8905687 2016-07-12 11:47:18+00:00      ...                   13\n8905688 2016-07-12 11:47:18+00:00      ...                   31\n8905689 2016-07-12 11:47:18+00:00      ...                   13\n8905690 2016-07-12 11:47:18+00:00      ...                   11\n8905691 2016-07-12 11:47:18+00:00      ...                    2\n8905692 2016-07-12 11:47:18+00:00      ...                    1\n8905693 2016-07-12 11:47:18+00:00      ...                    3\n8905694 2016-07-12 11:47:18+00:00      ...                    2\n8905695 2016-07-12 11:47:18+00:00      ...                   10\n8905696 2016-07-12 11:47:18+00:00      ...                    5\n\n[43 rows x 35 columns]",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time</th>\n      <th>sourceTimestamp</th>\n      <th>firstCreated</th>\n      <th>sourceId</th>\n      <th>headline</th>\n      <th>urgency</th>\n      <th>takeSequence</th>\n      <th>provider</th>\n      <th>subjects</th>\n      <th>audiences</th>\n      <th>bodySize</th>\n      <th>companyCount</th>\n      <th>headlineTag</th>\n      <th>marketCommentary</th>\n      <th>sentenceCount</th>\n      <th>wordCount</th>\n      <th>assetCodes</th>\n      <th>assetName</th>\n      <th>firstMentionSentence</th>\n      <th>relevance</th>\n      <th>sentimentClass</th>\n      <th>sentimentNegative</th>\n      <th>sentimentNeutral</th>\n      <th>sentimentPositive</th>\n      <th>sentimentWordCount</th>\n      <th>noveltyCount12H</th>\n      <th>noveltyCount24H</th>\n      <th>noveltyCount3D</th>\n      <th>noveltyCount5D</th>\n      <th>noveltyCount7D</th>\n      <th>volumeCounts12H</th>\n      <th>volumeCounts24H</th>\n      <th>volumeCounts3D</th>\n      <th>volumeCounts5D</th>\n      <th>volumeCounts7D</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>8905654</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CRR.N'}</td>\n      <td>CARBO Ceramics Inc</td>\n      <td>18</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.053250</td>\n      <td>0.184379</td>\n      <td>0.762371</td>\n      <td>191</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>8905655</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CHD.N'}</td>\n      <td>Church &amp; Dwight Co Inc</td>\n      <td>21</td>\n      <td>0.019612</td>\n      <td>0</td>\n      <td>0.010653</td>\n      <td>0.600352</td>\n      <td>0.388995</td>\n      <td>35</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>8905656</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'BHI.N'}</td>\n      <td>Baker Hughes Inc</td>\n      <td>17</td>\n      <td>0.019612</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>3</td>\n      <td>7</td>\n      <td>10</td>\n      <td>10</td>\n      <td>10</td>\n      <td>5</td>\n      <td>9</td>\n      <td>15</td>\n      <td>26</td>\n      <td>35</td>\n    </tr>\n    <tr>\n      <th>8905657</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CPB.N'}</td>\n      <td>Campbell Soup Co</td>\n      <td>18</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.053250</td>\n      <td>0.184379</td>\n      <td>0.762371</td>\n      <td>191</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>8905658</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'FET.N'}</td>\n      <td>Forum Energy Technologies Inc</td>\n      <td>2</td>\n      <td>0.039223</td>\n      <td>-1</td>\n      <td>0.806381</td>\n      <td>0.132668</td>\n      <td>0.060950</td>\n      <td>212</td>\n      <td>3</td>\n      <td>3</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>4</td>\n      <td>4</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>8905659</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'APO.N'}</td>\n      <td>Apollo Global Management LLC</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>0</td>\n      <td>4</td>\n      <td>6</td>\n      <td>11</td>\n      <td>11</td>\n      <td>1</td>\n      <td>7</td>\n      <td>10</td>\n      <td>19</td>\n      <td>29</td>\n    </tr>\n    <tr>\n      <th>8905660</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'BRO.N'}</td>\n      <td>Brown &amp; Brown Inc</td>\n      <td>18</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.053250</td>\n      <td>0.184379</td>\n      <td>0.762371</td>\n      <td>191</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>6</td>\n      <td>6</td>\n      <td>8</td>\n      <td>8</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>8905661</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CLSN.OQ', 'CLSN.O'}</td>\n      <td>Celsion Corp</td>\n      <td>18</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.053250</td>\n      <td>0.184379</td>\n      <td>0.762371</td>\n      <td>191</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>8905662</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CTSH.OQ', 'CTSH.O'}</td>\n      <td>Cognizant Technology Solutions Corp</td>\n      <td>3</td>\n      <td>0.039223</td>\n      <td>-1</td>\n      <td>0.480900</td>\n      <td>0.155721</td>\n      <td>0.363379</td>\n      <td>449</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>6</td>\n      <td>7</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>8</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>8905663</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'AWI.N'}</td>\n      <td>Armstrong World Industries Inc</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>8905664</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'KO.N'}</td>\n      <td>Coca-Cola Co</td>\n      <td>29</td>\n      <td>0.019612</td>\n      <td>1</td>\n      <td>0.322498</td>\n      <td>0.233557</td>\n      <td>0.443946</td>\n      <td>47</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>5</td>\n      <td>9</td>\n      <td>15</td>\n      <td>25</td>\n    </tr>\n    <tr>\n      <th>8905665</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'MO.N', 'MO.DE'}</td>\n      <td>Altria Group Inc</td>\n      <td>12</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.007518</td>\n      <td>0.444361</td>\n      <td>0.548121</td>\n      <td>53</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>8905666</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'C', 'C.N'}</td>\n      <td>Citigroup Inc</td>\n      <td>11</td>\n      <td>0.215728</td>\n      <td>1</td>\n      <td>0.406453</td>\n      <td>0.184375</td>\n      <td>0.409172</td>\n      <td>2695</td>\n      <td>1</td>\n      <td>2</td>\n      <td>3</td>\n      <td>7</td>\n      <td>8</td>\n      <td>4</td>\n      <td>9</td>\n      <td>13</td>\n      <td>42</td>\n      <td>66</td>\n    </tr>\n    <tr>\n      <th>8905667</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'BAC', 'BAC.N'}</td>\n      <td>Bank of America Corp</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4</td>\n      <td>7</td>\n      <td>7</td>\n      <td>11</td>\n      <td>13</td>\n      <td>43</td>\n      <td>62</td>\n    </tr>\n    <tr>\n      <th>8905668</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'AON.N'}</td>\n      <td>Aon PLC</td>\n      <td>15</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.809298</td>\n      <td>0.130941</td>\n      <td>0.059761</td>\n      <td>262</td>\n      <td>1</td>\n      <td>5</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>8</td>\n      <td>12</td>\n      <td>14</td>\n      <td>16</td>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>8905669</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CUDA.N'}</td>\n      <td>Barracuda Networks Inc</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>2</td>\n      <td>5</td>\n      <td>5</td>\n      <td>11</td>\n      <td>11</td>\n      <td>3</td>\n      <td>7</td>\n      <td>7</td>\n      <td>35</td>\n      <td>35</td>\n    </tr>\n    <tr>\n      <th>8905670</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'BBT.N'}</td>\n      <td>BB&amp;T Corp</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>0</td>\n      <td>4</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>1</td>\n      <td>5</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>8905671</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'ADP.OQ', 'ADP.O'}</td>\n      <td>Automatic Data Processing Inc</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>2</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>3</td>\n      <td>8</td>\n      <td>9</td>\n      <td>12</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>8905672</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'BX.N'}</td>\n      <td>Blackstone Group LP</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>0</td>\n      <td>1</td>\n      <td>3</td>\n      <td>13</td>\n      <td>14</td>\n      <td>3</td>\n      <td>5</td>\n      <td>8</td>\n      <td>20</td>\n      <td>29</td>\n    </tr>\n    <tr>\n      <th>8905673</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'ACN.N'}</td>\n      <td>Accenture PLC</td>\n      <td>1</td>\n      <td>1.000000</td>\n      <td>-1</td>\n      <td>0.742829</td>\n      <td>0.154804</td>\n      <td>0.102367</td>\n      <td>171</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>10</td>\n      <td>11</td>\n      <td>6</td>\n      <td>9</td>\n      <td>14</td>\n      <td>19</td>\n      <td>28</td>\n    </tr>\n    <tr>\n      <th>8905674</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'AA.N'}</td>\n      <td>Arconic Inc</td>\n      <td>7</td>\n      <td>0.019612</td>\n      <td>1</td>\n      <td>0.008060</td>\n      <td>0.450361</td>\n      <td>0.541579</td>\n      <td>57</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>4</td>\n      <td>10</td>\n      <td>48</td>\n      <td>49</td>\n      <td>57</td>\n      <td>71</td>\n    </tr>\n    <tr>\n      <th>8905675</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'Q.N'}</td>\n      <td>Quintiles Transnational Holdings Inc</td>\n      <td>1</td>\n      <td>1.000000</td>\n      <td>1</td>\n      <td>0.391289</td>\n      <td>0.167950</td>\n      <td>0.440761</td>\n      <td>416</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>8905676</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CLF.N'}</td>\n      <td>Cliffs Natural Resources Inc</td>\n      <td>25</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.007402</td>\n      <td>0.443024</td>\n      <td>0.549573</td>\n      <td>47</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n      <td>5</td>\n      <td>5</td>\n      <td>7</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>8905677</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'AJG.N'}</td>\n      <td>Arthur J Gallagher &amp; Co</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>1</td>\n      <td>5</td>\n      <td>6</td>\n      <td>6</td>\n      <td>6</td>\n      <td>10</td>\n      <td>14</td>\n      <td>16</td>\n      <td>17</td>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>8905678</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CB.N'}</td>\n      <td>Chubb Ltd</td>\n      <td>19</td>\n      <td>0.019612</td>\n      <td>1</td>\n      <td>0.007710</td>\n      <td>0.446532</td>\n      <td>0.545758</td>\n      <td>70</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>7</td>\n      <td>7</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>8905679</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'ALKS.O', 'ALKS.OQ'}</td>\n      <td>Alkermes Plc</td>\n      <td>10</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.007520</td>\n      <td>0.444379</td>\n      <td>0.548101</td>\n      <td>50</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>8905680</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'ABCO.O', 'ABCO.OQ'}</td>\n      <td>Advisory Board Co</td>\n      <td>6</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.008617</td>\n      <td>0.456129</td>\n      <td>0.535254</td>\n      <td>63</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>8905681</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'BR.N'}</td>\n      <td>Broadridge Financial Solutions Inc</td>\n      <td>18</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.053250</td>\n      <td>0.184379</td>\n      <td>0.762371</td>\n      <td>191</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>7</td>\n      <td>8</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>8</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>8905682</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'AXS.N'}</td>\n      <td>AXIS Capital Holdings Ltd</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>7</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>8905683</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CLX.N'}</td>\n      <td>Clorox Co</td>\n      <td>26</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.225215</td>\n      <td>0.335520</td>\n      <td>0.439265</td>\n      <td>49</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>8905684</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CVX.N'}</td>\n      <td>Chevron Corp</td>\n      <td>19</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.007710</td>\n      <td>0.446532</td>\n      <td>0.545758</td>\n      <td>70</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>10</td>\n      <td>20</td>\n      <td>43</td>\n    </tr>\n    <tr>\n      <th>8905685</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'BCC.N'}</td>\n      <td>Boise Cascade Co</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>8905686</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'FLT.N'}</td>\n      <td>Fleetcor Technologies Inc</td>\n      <td>2</td>\n      <td>0.019612</td>\n      <td>1</td>\n      <td>0.219031</td>\n      <td>0.173723</td>\n      <td>0.607246</td>\n      <td>341</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>8905687</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'AFSI.OQ', 'AFSI.O'}</td>\n      <td>AmTrust Financial Services Inc</td>\n      <td>13</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.007445</td>\n      <td>0.443514</td>\n      <td>0.549041</td>\n      <td>51</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>11</td>\n      <td>12</td>\n      <td>12</td>\n      <td>13</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>8905688</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'BLK.N'}</td>\n      <td>BlackRock Inc</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>0</td>\n      <td>1</td>\n      <td>4</td>\n      <td>8</td>\n      <td>8</td>\n      <td>1</td>\n      <td>4</td>\n      <td>10</td>\n      <td>19</td>\n      <td>31</td>\n    </tr>\n    <tr>\n      <th>8905689</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'AKS.N'}</td>\n      <td>AK Steel Holding Corp</td>\n      <td>7</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.008060</td>\n      <td>0.450361</td>\n      <td>0.541579</td>\n      <td>57</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>8905690</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'ALL.N'}</td>\n      <td>Allstate Corp</td>\n      <td>11</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.007597</td>\n      <td>0.445255</td>\n      <td>0.547148</td>\n      <td>52</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>9</td>\n      <td>9</td>\n      <td>9</td>\n      <td>10</td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <th>8905691</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'APOG.OQ', 'APOG.O'}</td>\n      <td>Apogee Enterprises Inc</td>\n      <td>16</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.684526</td>\n      <td>0.132371</td>\n      <td>0.183104</td>\n      <td>378</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>8905692</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CGI.N', 'CGI'}</td>\n      <td>Celadon Group Inc</td>\n      <td>18</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.053250</td>\n      <td>0.184379</td>\n      <td>0.762371</td>\n      <td>191</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>8905693</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'BRFS3.SA', 'BRFS.N'}</td>\n      <td>BRF SA</td>\n      <td>18</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.053250</td>\n      <td>0.184379</td>\n      <td>0.762371</td>\n      <td>191</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>8905694</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'CCU.N', 'CCU.SN'}</td>\n      <td>Compania Cervecerias Unidas SA</td>\n      <td>18</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.053250</td>\n      <td>0.184379</td>\n      <td>0.762371</td>\n      <td>191</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>8905695</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'APC.N'}</td>\n      <td>Anadarko Petroleum Corp</td>\n      <td>14</td>\n      <td>0.009806</td>\n      <td>1</td>\n      <td>0.322498</td>\n      <td>0.233557</td>\n      <td>0.443946</td>\n      <td>47</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>4</td>\n      <td>2</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>8905696</th>\n      <td>2016-07-12 11:47:18+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>2016-07-12 11:47:17+00:00</td>\n      <td>36f64b24cf49bc1d</td>\n      <td>U.S. RESEARCH ROUNDUP-Accenture, Quintiles, Im...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>RTRS</td>\n      <td>{'BLR', 'STEE', 'FOBE', 'HECA', 'INDS', 'INVI'...</td>\n      <td>{'C', 'SOF', 'PSC', 'U', 'NAW', 'E'}</td>\n      <td>17908</td>\n      <td>43</td>\n      <td>U.S. RESEARCH ROUNDUP</td>\n      <td>False</td>\n      <td>66</td>\n      <td>3519</td>\n      <td>{'ATW.N'}</td>\n      <td>Atwood Oceanics Inc</td>\n      <td>17</td>\n      <td>0.009806</td>\n      <td>-1</td>\n      <td>0.551417</td>\n      <td>0.143527</td>\n      <td>0.305056</td>\n      <td>419</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n      <td>4</td>\n      <td>4</td>\n      <td>5</td>\n      <td>5</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "6a179424acf369434a019cf3f1baa4f9fa08df4a"
      },
      "cell_type": "code",
      "source": "# The majority of news are about specific assets -> relevant\nmarketCommentary = news_train_df['marketCommentary']\n1.0*sum(marketCommentary)/len(marketCommentary)",
      "execution_count": 225,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 225,
          "data": {
            "text/plain": "0.055171164411094736"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "e8e93f0dbc042dbe2abe7aeaeeb4772b0e736a8c"
      },
      "cell_type": "code",
      "source": "sentenceCount = news_train_df['sentenceCount']\nprint(max(sentenceCount))\nprint(min(sentenceCount))\nprint(np.mean(sentenceCount))",
      "execution_count": 226,
      "outputs": [
        {
          "output_type": "stream",
          "text": "1205\n1\n22.509421519496183\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "3300d92c64bdf9338435ab7b5b392eb976244a60"
      },
      "cell_type": "code",
      "source": "wordCount = news_train_df['wordCount']\nprint(max(wordCount))\nprint(min(wordCount))\nprint(np.mean(wordCount))",
      "execution_count": 227,
      "outputs": [
        {
          "output_type": "stream",
          "text": "20263\n1\n580.4339586761356\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "388392753e72008fa9b9fd56b2768fbc36b22dff"
      },
      "cell_type": "code",
      "source": "# Should refer to reuters topic codes: \n# https://liaison.reuters.com/tools/topic-codes\n# https://customers.reuters.com/training/trainingCRMdata/promo_content/ReutersCodes.pdf\n# Topic codes only refers to events, but not names\nnews_train_df[news_train_df['takeSequence'] == 97].iloc[0,8]",
      "execution_count": 221,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 221,
          "data": {
            "text/plain": "\"{'ASIA', 'LEN', 'FINS', 'CMPNY', 'BNK', 'RTRS', 'BSVC', 'EMRG', 'BANK', 'BISV', 'IN'}\""
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "f17897e384afc89cf6bedbd8e45cba90bdf371da"
      },
      "cell_type": "code",
      "source": "news_train_df.iloc[3,4]",
      "execution_count": 228,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 228,
          "data": {
            "text/plain": "'PRESS DIGEST - New York Times - Jan 1'"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "8f8978b96059264af20cb4928ddbeae90fdc6543"
      },
      "cell_type": "code",
      "source": "firstMentionSentence = news_train_df['firstMentionSentence']\nplt.hist(firstMentionSentence)",
      "execution_count": 241,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 241,
          "data": {
            "text/plain": "(array([9.312373e+06, 1.421400e+04, 1.336000e+03, 4.660000e+02,\n        2.210000e+02, 6.900000e+01, 4.300000e+01, 2.000000e+01,\n        5.000000e+00, 3.000000e+00]),\n array([  0. ,  98.9, 197.8, 296.7, 395.6, 494.5, 593.4, 692.3, 791.2,\n        890.1, 989. ]),\n <a list of 10 Patch objects>)"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "64c1e57411d76a21920c3dc4768f64572d36f627"
      },
      "cell_type": "code",
      "source": "# It's interesting to see the asset are primarily either mentioned at beginning or in the end\nfirstMentionPosition = news_train_df['firstMentionSentence']/news_train_df['sentenceCount']\nplt.hist(firstMentionPosition)",
      "execution_count": 243,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 243,
          "data": {
            "text/plain": "(array([3848432.,  665885.,  726184.,  379632.,  211694.,  362375.,\n         199206.,  183848.,  200988., 2550506.]),\n array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ]),\n <a list of 10 Patch objects>)"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "7fe43b1b2d5fe0fc42164216f2335bd3743866d1"
      },
      "cell_type": "code",
      "source": "relevance = news_train_df['relevance']\nprint(max(relevance))\nprint(min(relevance))\nprint(np.mean(relevance))\nplt.hist(relevance)",
      "execution_count": 244,
      "outputs": [
        {
          "output_type": "stream",
          "text": "1.0\n0.001258400036022067\n0.7428698539733887\n",
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "execution_count": 244,
          "data": {
            "text/plain": "(array([ 897176.,  749345.,  482295.,  292707.,  268700.,  120518.,\n          50052.,  261377.,   32341., 6174239.]),\n array([0.0012584 , 0.10113256, 0.20100673, 0.30088088, 0.40075505,\n        0.5006292 , 0.6005034 , 0.7003775 , 0.80025166, 0.90012586,\n        1.        ], dtype=float32),\n <a list of 10 Patch objects>)"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "04dd7fda4451e2396fcf53b8c1aa7308271f4fed"
      },
      "cell_type": "code",
      "source": "sentimentClass = news_train_df['sentimentClass']\nprint(sum(sentimentClass==-1),sum(sentimentClass==0),sum(sentimentClass==1))\npNegative = news_train_df['sentimentNegative']\npNeutral = news_train_df['sentimentNeutral']\npPositive = news_train_df['sentimentPositive']\nplt.hist(pNegative)\nplt.show()\nplt.hist(pNeutral)\nplt.show()\nplt.hist(pPositive)\nplt.show()",
      "execution_count": 250,
      "outputs": [
        {
          "output_type": "stream",
          "text": "2813011 2899088 3616651\n",
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZMAAAD8CAYAAACyyUlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAFt5JREFUeJzt3X+s3fV93/HnKyYQ1oZg4BZZtjPTxFXmoMZJbomnTlMKKxii1URlyEgtTuThtjFdq2VTnHYSaX5oZFuDhkqYnOFhojaOR1vhFajnAVHUagYuiQMxacoNcYQ9Ai420CwqGeS9P87HyeH2Xt9z79f3nmv8fEhH93ve38/3+3nfcw2v+/1xzk1VIUlSF68bdgOSpJOfYSJJ6swwkSR1ZphIkjozTCRJnRkmkqTODBNJUmeGiSSpM8NEktTZacNuYL6cd955tWLFimG3IUknlUceeeRvqmpkunGnTJisWLGCsbGxYbchSSeVJN8ZZJynuSRJnRkmkqTODBNJUmeGiSSps2nDJMkbkjyU5GtJ9if5vVa/Pcm3k+xrj9WtniQ3JxlP8miSd/Xta0OSJ9pjQ1/93Ukea9vcnCStfk6SPW38niSLp5tDkjT/BjkyeQm4uKreAawG1iZZ09b926pa3R77Wu1yYGV7bAJuhV4wADcA7wEuAm44Fg5tzHV9261t9S3AfVW1ErivPZ9yDknScEwbJtXzvfb09e1xvD/PuA64o223Fzg7yRLgMmBPVR2pqqPAHnrBtAQ4q6r2Vu/PPt4BXNm3r+1tefuE+mRzSJKGYKBrJkkWJdkHPEsvEB5sqz7VTjPdlOSMVlsKPNW3+cFWO1794CR1gPOr6um2/F3g/GnmkCQNwUBhUlWvVNVqYBlwUZILgY8CbwN+DjgH+MicddnroTj+EdHfk2RTkrEkY4cPH56jziRJM3oHfFU9n+QBYG1V/adWfinJfwP+TXt+CFjet9myVjsEvHdC/UutvmyS8QDPJFlSVU+301jPTjPHxH63AlsBRkdHZxRE/VZsuXu2m3Z24Mb3DW1uSRrUIHdzjSQ5uy2fCfwi8FfHrlG0O6+uBL7eNtkFXNvuuFoDvNBOVe0GLk2yuF14vxTY3da9mGRN29e1wF19+zp219eGCfXJ5pAkDcEgRyZLgO1JFtELn51V9WdJ7k8yAgTYB/x6G38PcAUwDnwf+CBAVR1J8gng4Tbu41V1pC1/CLgdOBO4tz0AbgR2JtkIfAe4+nhzSJKGY9owqapHgXdOUr94ivEFbJ5i3TZg2yT1MeDCSerPAZfMZA5J0vzzHfCSpM4ME0lSZ4aJJKkzw0SS1JlhIknqzDCRJHVmmEiSOjNMJEmdGSaSpM4ME0lSZ4aJJKkzw0SS1JlhIknqzDCRJHVmmEiSOjNMJEmdGSaSpM4ME0lSZ4aJJKkzw0SS1JlhIknqbNowSfKGJA8l+VqS/Ul+r9UvSPJgkvEkX0xyequf0Z6Pt/Ur+vb10Vb/ZpLL+uprW208yZa++oznkCTNv0GOTF4CLq6qdwCrgbVJ1gCfBm6qqrcCR4GNbfxG4Gir39TGkWQVsB54O7AW+GySRUkWAbcAlwOrgGvaWGY6hyRpOKYNk+r5Xnv6+vYo4GLgzlbfDlzZlte157T1lyRJq++oqpeq6tvAOHBRe4xX1ZNV9QNgB7CubTPTOSRJQzDQNZN2BLEPeBbYA3wLeL6qXm5DDgJL2/JS4CmAtv4F4Nz++oRtpqqfO4s5JElDMFCYVNUrVbUaWEbvSOJtc9rVCZJkU5KxJGOHDx8edjuS9Jo1o7u5qup54AHgHwNnJzmtrVoGHGrLh4DlAG39m4Dn+usTtpmq/tws5pjY79aqGq2q0ZGRkZl8q5KkGRjkbq6RJGe35TOBXwS+QS9UrmrDNgB3teVd7Tlt/f1VVa2+vt2JdQGwEngIeBhY2e7cOp3eRfpdbZuZziFJGoLTph/CEmB7u+vqdcDOqvqzJI8DO5J8EvgqcFsbfxvw+STjwBF64UBV7U+yE3gceBnYXFWvACS5HtgNLAK2VdX+tq+PzGQOSdJwTBsmVfUo8M5J6k/Su34ysf53wL+YYl+fAj41Sf0e4J4TMYckaf75DnhJUmeGiSSpM8NEktSZYSJJ6swwkSR1ZphIkjozTCRJnRkmkqTODBNJUmeGiSSpM8NEktSZYSJJ6swwkSR1ZphIkjozTCRJnRkmkqTODBNJUmeGiSSpM8NEktSZYSJJ6swwkSR1Nm2YJFme5IEkjyfZn+S3Wv1jSQ4l2dceV/Rt89Ek40m+meSyvvraVhtPsqWvfkGSB1v9i0lOb/Uz2vPxtn7FdHNIkubfIEcmLwMfrqpVwBpgc5JVbd1NVbW6Pe4BaOvWA28H1gKfTbIoySLgFuByYBVwTd9+Pt329VbgKLCx1TcCR1v9pjZuyjlm/SpIkjqZNkyq6umq+kpb/lvgG8DS42yyDthRVS9V1beBceCi9hivqier6gfADmBdkgAXA3e27bcDV/bta3tbvhO4pI2fag5J0hDM6JpJO830TuDBVro+yaNJtiVZ3GpLgaf6NjvYalPVzwWer6qXJ9Rfta+2/oU2fqp9Tex3U5KxJGOHDx+eybcqSZqBgcMkyU8Cfwz8dlW9CNwKvAVYDTwN/P6cdNhBVW2tqtGqGh0ZGRl2O5L0mjVQmCR5Pb0g+cOq+hOAqnqmql6pqh8Cn+PHp5kOAcv7Nl/WalPVnwPOTnLahPqr9tXWv6mNn2pfkqQhGORurgC3Ad+oqs/01Zf0DXs/8PW2vAtY3+7EugBYCTwEPAysbHdunU7vAvquqirgAeCqtv0G4K6+fW1oy1cB97fxU80hSRqC06Yfws8Dvwo8lmRfq/0OvbuxVgMFHAB+DaCq9ifZCTxO706wzVX1CkCS64HdwCJgW1Xtb/v7CLAjySeBr9ILL9rXzycZB47QC6DjziFJmn/p/aL/2jc6OlpjY2Oz2nbFlrtPcDeDO3Dj+4Y2tyQleaSqRqcb5zvgJUmdGSaSpM4ME0lSZ4aJJKkzw0SS1JlhIknqzDCRJHVmmEiSOjNMJEmdGSaSpM4ME0lSZ4aJJKkzw0SS1JlhIknqzDCRJHVmmEiSOjNMJEmdGSaSpM4ME0lSZ4aJJKmzacMkyfIkDyR5PMn+JL/V6uck2ZPkifZ1casnyc1JxpM8muRdffva0MY/kWRDX/3dSR5r29ycJLOdQ5I0/wY5MnkZ+HBVrQLWAJuTrAK2APdV1UrgvvYc4HJgZXtsAm6FXjAANwDvAS4CbjgWDm3MdX3brW31Gc0hSRqOacOkqp6uqq+05b8FvgEsBdYB29uw7cCVbXkdcEf17AXOTrIEuAzYU1VHquoosAdY29adVVV7q6qAOybsayZzSJKGYEbXTJKsAN4JPAicX1VPt1XfBc5vy0uBp/o2O9hqx6sfnKTOLOaQJA3BwGGS5CeBPwZ+u6pe7F/XjijqBPf2KrOZI8mmJGNJxg4fPjxHnUmSBgqTJK+nFyR/WFV/0srPHDu11L4+2+qHgOV9my9rtePVl01Sn80cr1JVW6tqtKpGR0ZGBvlWJUmzMMjdXAFuA75RVZ/pW7ULOHZH1gbgrr76te2OqzXAC+1U1W7g0iSL24X3S4Hdbd2LSda0ua6dsK+ZzCFJGoLTBhjz88CvAo8l2ddqvwPcCOxMshH4DnB1W3cPcAUwDnwf+CBAVR1J8gng4Tbu41V1pC1/CLgdOBO4tz2Y6RySpOGYNkyq6i+ATLH6kknGF7B5in1tA7ZNUh8DLpyk/txM55AkzT/fAS9J6swwkSR1ZphIkjozTCRJnRkmkqTODBNJUmeGiSSpM8NEktSZYSJJ6swwkSR1ZphIkjozTCRJnRkmkqTODBNJUmeD/D0TDdGKLXcPZd4DN75vKPNKOjl5ZCJJ6swwkSR1ZphIkjozTCRJnRkmkqTODBNJUmfThkmSbUmeTfL1vtrHkhxKsq89ruhb99Ek40m+meSyvvraVhtPsqWvfkGSB1v9i0lOb/Uz2vPxtn7FdHNIkoZjkCOT24G1k9RvqqrV7XEPQJJVwHrg7W2bzyZZlGQRcAtwObAKuKaNBfh029dbgaPAxlbfCBxt9ZvauCnnmNm3LUk6kaYNk6r6MnBkwP2tA3ZU1UtV9W1gHLioPcar6smq+gGwA1iXJMDFwJ1t++3AlX372t6W7wQuaeOnmkOSNCRdrplcn+TRdhpscastBZ7qG3Ow1aaqnws8X1UvT6i/al9t/Qtt/FT7kiQNyWzD5FbgLcBq4Gng909YRydQkk1JxpKMHT58eNjtSNJr1qzCpKqeqapXquqHwOf48WmmQ8DyvqHLWm2q+nPA2UlOm1B/1b7a+je18VPta7I+t1bVaFWNjoyMzOZblSQNYFZhkmRJ39P3A8fu9NoFrG93Yl0ArAQeAh4GVrY7t06ndwF9V1UV8ABwVdt+A3BX3742tOWrgPvb+KnmkCQNybSfGpzkC8B7gfOSHARuAN6bZDVQwAHg1wCqan+SncDjwMvA5qp6pe3nemA3sAjYVlX72xQfAXYk+STwVeC2Vr8N+HyScXo3AKyfbg5J0nCk98v+a9/o6GiNjY3NatthfQz8MPkR9JIAkjxSVaPTjfMd8JKkzgwTSVJnhokkqTPDRJLUmWEiSerMMJEkdWaYSJI6M0wkSZ0ZJpKkzgwTSVJnhokkqTPDRJLUmWEiSerMMJEkdWaYSJI6m/aPY0mSuhvm30Waj79P5JGJJKkzw0SS1JlhIknqzDCRJHVmmEiSOps2TJJsS/Jskq/31c5JsifJE+3r4lZPkpuTjCd5NMm7+rbZ0MY/kWRDX/3dSR5r29ycJLOdQ5I0HIMcmdwOrJ1Q2wLcV1Urgfvac4DLgZXtsQm4FXrBANwAvAe4CLjhWDi0Mdf1bbd2NnNIkoZn2jCpqi8DRyaU1wHb2/J24Mq++h3Vsxc4O8kS4DJgT1UdqaqjwB5gbVt3VlXtraoC7piwr5nMIUkaktleMzm/qp5uy98Fzm/LS4Gn+sYdbLXj1Q9OUp/NHH9Pkk1JxpKMHT58eMBvTZI0U50vwLcjijoBvZzwOapqa1WNVtXoyMjIHHQmSYLZh8kzx04tta/PtvohYHnfuGWtdrz6sknqs5lDkjQksw2TXcCxO7I2AHf11a9td1ytAV5op6p2A5cmWdwuvF8K7G7rXkyypt3Fde2Efc1kDknSkEz7QY9JvgC8FzgvyUF6d2XdCOxMshH4DnB1G34PcAUwDnwf+CBAVR1J8gng4Tbu41V17KL+h+jdMXYmcG97MNM5JEnDM22YVNU1U6y6ZJKxBWyeYj/bgG2T1MeACyepPzfTOSRJw+E74CVJnRkmkqTODBNJUmeGiSSpM8NEktSZYSJJ6swwkSR1Nu37THRqWrHl7qHNfeDG9w1tbkmz45GJJKkzw0SS1JlhIknqzDCRJHVmmEiSOjNMJEmdGSaSpM4ME0lSZ75pUdIpZZhvyH0t88hEktSZYSJJ6swwkSR11ilMkhxI8liSfUnGWu2cJHuSPNG+Lm71JLk5yXiSR5O8q28/G9r4J5Js6Ku/u+1/vG2b480hSRqOE3Fk8gtVtbqqRtvzLcB9VbUSuK89B7gcWNkem4BboRcMwA3Ae4CLgBv6wuFW4Lq+7dZOM4ckaQjm4jTXOmB7W94OXNlXv6N69gJnJ1kCXAbsqaojVXUU2AOsbevOqqq9VVXAHRP2NdkckqQh6BomBfzPJI8k2dRq51fV0235u8D5bXkp8FTftgdb7Xj1g5PUjzeHJGkIur7P5J9U1aEkPwXsSfJX/SurqpJUxzmO63hztIDbBPDmN795LtuQpFNapyOTqjrUvj4L/Cm9ax7PtFNUtK/PtuGHgOV9my9rtePVl01S5zhzTOxva1WNVtXoyMjIbL9NSdI0Zh0mSX4iyRuPLQOXAl8HdgHH7sjaANzVlncB17a7utYAL7RTVbuBS5MsbhfeLwV2t3UvJlnT7uK6dsK+JptDkjQEXU5znQ/8abtb9zTgj6rqz5M8DOxMshH4DnB1G38PcAUwDnwf+CBAVR1J8gng4Tbu41V1pC1/CLgdOBO4tz0AbpxiDknSEMw6TKrqSeAdk9SfAy6ZpF7A5in2tQ3YNkl9DLhw0DkkScPhO+AlSZ0ZJpKkzvwIeknzzo+Bf+3xyESS1JlHJlpwhvVb64Eb3zeUeaXXAo9MJEmdGSaSpM48zSWdwrwQrhPFMJEa/8cqzZ6nuSRJnRkmkqTODBNJUmeGiSSpM8NEktSZYSJJ6swwkSR1ZphIkjozTCRJnRkmkqTODBNJUmeGiSSps5M6TJKsTfLNJONJtgy7H0k6VZ20YZJkEXALcDmwCrgmyarhdiVJp6aTNkyAi4Dxqnqyqn4A7ADWDbknSTolncxhshR4qu/5wVaTJM2z1/Qfx0qyCdjUnn4vyTdnuIvzgL85sV11thB7goXZ10LsCRZmXwuxJ1iYfZ10PeXTnfb9DwcZdDKHySFged/zZa32I1W1Fdg62wmSjFXV6Gy3nwsLsSdYmH0txJ5gYfa1EHuChdmXPU3uZD7N9TCwMskFSU4H1gO7htyTJJ2STtojk6p6Ocn1wG5gEbCtqvYPuS1JOiWdtGECUFX3APfM4RSzPkU2hxZiT7Aw+1qIPcHC7Gsh9gQLsy97mkSqatg9SJJOcifzNRNJ0gJhmDD9x7IkOSPJF9v6B5OsWAA9/dMkX0nycpKr5rqfGfT1r5M8nuTRJPclGei2wjnu6deTPJZkX5K/mI9PShj0o36S/HKSSjIvd+IM8Fp9IMnh9lrtS/Ivh91TG3N1+3e1P8kfzXVPg/SV5Ka+1+mvkzy/AHp6c5IHkny1/Td4xVz39CNVdUo/6F28/xbw08DpwNeAVRPGfAj4L215PfDFBdDTCuBngTuAqxbQa/ULwD9oy7+xQF6rs/qWfwn482H31Ma9EfgysBcYXSA/vw8AfzAf/55m0NNK4KvA4vb8pxZCXxPG/ya9m4CG/VptBX6jLa8CDszXz9Ijk8E+lmUdsL0t3wlckiTD7KmqDlTVo8AP57CP2fT1QFV9vz3dS+/9P8Pu6cW+pz8BzPWFwkE/6ucTwKeBv5vjfmba13wapKfrgFuq6ihAVT27QPrqdw3whQXQUwFnteU3Af9njnv6EcNksI9l+dGYqnoZeAE4d8g9DcNM+9oI3DunHQ3YU5LNSb4F/AfgXw27pyTvApZX1d1z3MuM+mp+uZ0iuTPJ8knWz3dPPwP8TJK/TLI3ydo57mnQvgBop3IvAO5fAD19DPiVJAfp3en6m3Pc048YJpoTSX4FGAX+47B7AaiqW6rqLcBHgH83zF6SvA74DPDhYfYxhf8BrKiqnwX28OMj8mE6jd6prvfSOwL4XJKzh9rRq60H7qyqV4bdCL3X5/aqWgZcAXy+/Xubc4bJAB/L0j8myWn0Dh+fG3JPwzBQX0n+GfC7wC9V1UsLoac+O4Ar57Sj6Xt6I3Ah8KUkB4A1wK55uAg/yEcQPdf3M/uvwLuH3RO938B3VdX/q6pvA39NL1yG3dcx65n7U1wwWE8bgZ0AVfW/gTfQ+9yuuTdfF2cW6oPebz1P0jtMPXZR6+0Txmzm1Rfgdw67p76xtzN/F+AHea3eSe8i4coF1NPKvuV/DowNu6cJ47/E/FyAH+S1WtK3/H5g7wLoaS2wvS2fR+9Uz7nD7quNextwgPaevWH3RO+08gfa8j+id81kznurKsOkvehX0Ptt51vA77bax+n9Zg29dP/vwDjwEPDTC6Cnn6P3G9v/pXeUtH+BvFb/C3gG2NceuxZAT/8Z2N/6eeB4/2Ofr54mjJ2XMBnwtfr37bX6Wnut3rYAegq904KPA48B6xfCa9Wefwy4cT76GfC1WgX8Zfv57QMuna/efAe8JKkzr5lIkjozTCRJnRkmkqTODBNJUmeGiSSpM8NEktSZYSJJ6swwkSR19v8BQQl8FwAIlIoAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "6f765e6f1d30a22b72377e3bdf825b335bc2b8b8"
      },
      "cell_type": "code",
      "source": "relevantRatio = news_train_df['sentimentWordCount']/news_train_df['wordCount']\nplt.hist(relevantRatio)",
      "execution_count": 251,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 251,
          "data": {
            "text/plain": "(array([ 998627.,  823922.,  464037.,  314325.,  282428.,  297551.,\n         325312.,  362979.,  481918., 4977651.]),\n array([6.67111408e-04, 1.00600400e-01, 2.00533689e-01, 3.00466978e-01,\n        4.00400267e-01, 5.00333556e-01, 6.00266845e-01, 7.00200133e-01,\n        8.00133422e-01, 9.00066711e-01, 1.00000000e+00]),\n <a list of 10 Patch objects>)"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "633163c6f5dd30f985bb932c558ac9ade548ed5e"
      },
      "cell_type": "code",
      "source": "# The relevance measure is modestly related to relevantRatio\nnp.corrcoef(relevance,relevantRatio)",
      "execution_count": 253,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 253,
          "data": {
            "text/plain": "array([[1.        , 0.60722612],\n       [0.60722612, 1.        ]])"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "5f515188685c1b5768071129a3b6b1b4dedde51d"
      },
      "cell_type": "code",
      "source": "# Novelty data have long tails so clipping is used\n# Need to investigate the reasion\n# Please refer to Jacob Sisk's papers\nplt.hist(np.clip(news_train_df['noveltyCount12H'],0,20))\nplt.show()\nplt.hist(np.clip(news_train_df['noveltyCount3D'],0,20))\nplt.show()\nplt.hist(np.clip(news_train_df['noveltyCount5D'],0,20))\nplt.show()\nplt.hist(np.clip(news_train_df['noveltyCount7D'],0,20))\nplt.show()",
      "execution_count": 260,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "bec503c34745f7c204ba2d4d87ae6c0adaa796de"
      },
      "cell_type": "code",
      "source": "plt.hist(np.clip(news_train_df['volumeCounts24H'],0,200))\nplt.show()\nplt.hist(np.clip(news_train_df['volumeCounts3D'],0,200))\nplt.show()\nplt.hist(np.clip(news_train_df['volumeCounts5D'],0,200))\nplt.show()\nplt.hist(np.clip(news_train_df['volumeCounts7D'],0,200))\nplt.show()",
      "execution_count": 269,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZMAAAD8CAYAAACyyUlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAFNRJREFUeJzt3X+s3fV93/HnqzikKA0xBM9CmM1k9VrRSAnkinhqGm1hNQa6mG4dIqqGS1GsKWRKtE2ts0yjS1KJbFqzIKVULHiYKC3QtBFWA3U8Eq3aHxAuP8LPUG4ICFsGuzaBdmzJSN/743xueri71/ec+7HPseH5kI7O9/v+fr7fz+d+7/F53e+Pc5yqQpKkHj8x7QFIkk58hokkqZthIknqZphIkroZJpKkboaJJKmbYSJJ6maYSJK6GSaSpG6rpj2ASTnjjDNq/fr10x6GJJ1Q7r///r+oqjXLtXvDhMn69euZnZ2d9jAk6YSS5NlR2nmaS5LUzTCRJHUzTCRJ3QwTSVI3w0SS1M0wkSR1M0wkSd0ME0lSN8NEktRtpE/AJ1kNfBF4J1DArwNPArcB64FngMur6sUkAT4PXAK8AvxaVT3QtrMV+Hdts5+pqp2t/h7gZuAU4E7gY1VVSU4ft49jYf32rx2rTS/rmesunVrfkjSqUY9MPg/8aVX9LPAu4AlgO3B3VW0A7m7zABcDG9pjG3ADQAuGa4H3AhcA1yY5ra1zA/DhofU2t/pYfUiSpmPZMEnyNuD9wE0AVfXDqvo+sAXY2ZrtBC5r01uAW2rgHmB1kjOBi4A9VXW4ql4E9gCb27JTq+qeqirglgXbGqcPSdIUjHJkcg5wEPhvSR5M8sUkbwHWVtX+1uZ5YG2bPgt4bmj9va12pPreReqsoI/XSLItyWyS2YMHD47wo0qSVmKUMFkFnA/cUFXnAf+LvzndBEA7oqijP7y+PqrqxqqaqaqZNWuW/QZlSdIKjRIme4G9VXVvm/8Kg3B5Yf7UUns+0JbvA84eWn9dqx2pvm6ROivoQ5I0BcuGSVU9DzyX5Gda6ULgcWAXsLXVtgJ3tOldwJUZ2Ai81E5V7QY2JTmtXXjfBOxuy15OsrHdpXXlgm2N04ckaQpG/c+x/iXw5SQnA08DVzEIotuTXA08C1ze2t7J4JbdOQa37V4FUFWHk3wauK+1+1RVHW7TH+Fvbg2+qz0ArhunD0nSdIwUJlX1EDCzyKILF2lbwDVLbGcHsGOR+iyDz7AsrB8atw9J0uT5CXhJUjfDRJLUzTCRJHUzTCRJ3QwTSVI3w0SS1M0wkSR1M0wkSd0ME0lSN8NEktTNMJEkdTNMJEndDBNJUjfDRJLUzTCRJHUzTCRJ3QwTSVI3w0SS1M0wkSR1M0wkSd0ME0lSN8NEktTNMJEkdTNMJEndDBNJUreRwiTJM0keSfJQktlWOz3JniRPtefTWj1Jrk8yl+ThJOcPbWdra/9Ukq1D9fe07c+1dbPSPiRJkzfOkck/rKp3V9VMm98O3F1VG4C72zzAxcCG9tgG3ACDYACuBd4LXABcOx8Orc2Hh9bbvJI+JEnT0XOaawuws03vBC4bqt9SA/cAq5OcCVwE7Kmqw1X1IrAH2NyWnVpV91RVAbcs2NY4fUiSpmDUMCng60nuT7Kt1dZW1f42/Tywtk2fBTw3tO7eVjtSfe8i9ZX08RpJtiWZTTJ78ODBkX5QSdL4Vo3Y7n1VtS/J3wL2JPnO8MKqqiR19IfX10dV3QjcCDAzM3NMxydJb2QjHZlU1b72fAD4KoNrHi/Mn1pqzwda833A2UOrr2u1I9XXLVJnBX1IkqZg2TBJ8pYkb52fBjYBjwK7gPk7srYCd7TpXcCV7Y6rjcBL7VTVbmBTktPahfdNwO627OUkG9tdXFcu2NY4fUiSpmCU01xrga+2u3VXAb9fVX+a5D7g9iRXA88Cl7f2dwKXAHPAK8BVAFV1OMmngftau09V1eE2/RHgZuAU4K72ALhunD4kSdOxbJhU1dPAuxapHwIuXKRewDVLbGsHsGOR+izwzqPRhyRp8vwEvCSpm2EiSepmmEiSuhkmkqRuhokkqZthIknqZphIkroZJpKkboaJJKmbYSJJ6maYSJK6GSaSpG6GiSSpm2EiSepmmEiSuhkmkqRuhokkqZthIknqZphIkroZJpKkboaJJKmbYSJJ6maYSJK6GSaSpG6GiSSp28hhkuSkJA8m+ZM2f06Se5PMJbktycmt/uY2P9eWrx/axida/ckkFw3VN7faXJLtQ/Wx+5AkTd44RyYfA54Ymv8s8Lmq+mngReDqVr8aeLHVP9fakeRc4Arg54DNwO+2gDoJ+AJwMXAu8KHWduw+JEnTMVKYJFkHXAp8sc0H+ADwldZkJ3BZm97S5mnLL2zttwC3VtUPqup7wBxwQXvMVdXTVfVD4FZgywr7kCRNwahHJv8F+A3gr9v824HvV9WrbX4vcFabPgt4DqAtf6m1/3F9wTpL1VfSx2sk2ZZkNsnswYMHR/xRJUnjWjZMkvwScKCq7p/AeI6qqrqxqmaqambNmjXTHo4kvW6tGqHNzwMfTHIJ8JPAqcDngdVJVrUjg3XAvtZ+H3A2sDfJKuBtwKGh+rzhdRarH1pBH5KkKVj2yKSqPlFV66pqPYML6N+oql8Fvgn8Smu2FbijTe9q87Tl36iqavUr2p1Y5wAbgG8B9wEb2p1bJ7c+drV1xu1DkjQFoxyZLOU3gVuTfAZ4ELip1W8CvpRkDjjMIByoqseS3A48DrwKXFNVPwJI8lFgN3ASsKOqHltJH5Kk6cgb5Q/6mZmZmp2dXdG667d/7SiPZnTPXHfp1PqWpCT3V9XMcu38BLwkqZthIknqZphIkroZJpKkboaJJKmbYSJJ6maYSJK6GSaSpG6GiSSpm2EiSepmmEiSuhkmkqRuhokkqZthIknqZphIkroZJpKkboaJJKmbYSJJ6maYSJK6GSaSpG6GiSSpm2EiSepmmEiSuhkmkqRuy4ZJkp9M8q0k307yWJL/0OrnJLk3yVyS25Kc3OpvbvNzbfn6oW19otWfTHLRUH1zq80l2T5UH7sPSdLkjXJk8gPgA1X1LuDdwOYkG4HPAp+rqp8GXgSubu2vBl5s9c+1diQ5F7gC+DlgM/C7SU5KchLwBeBi4FzgQ60t4/YhSZqOZcOkBv6qzb6pPQr4APCVVt8JXNamt7R52vILk6TVb62qH1TV94A54IL2mKuqp6vqh8CtwJa2zrh9SJKmYKRrJu0I4iHgALAH+C7w/ap6tTXZC5zVps8CngNoy18C3j5cX7DOUvW3r6APSdIUjBQmVfWjqno3sI7BkcTPHtNRHSVJtiWZTTJ78ODBaQ9Hkl63xrqbq6q+D3wT+PvA6iSr2qJ1wL42vQ84G6AtfxtwaLi+YJ2l6odW0MfC8d5YVTNVNbNmzZpxflRJ0hhGuZtrTZLVbfoU4BeBJxiEyq+0ZluBO9r0rjZPW/6NqqpWv6LdiXUOsAH4FnAfsKHduXUyg4v0u9o64/YhSZqCVcs34UxgZ7vr6ieA26vqT5I8Dtya5DPAg8BNrf1NwJeSzAGHGYQDVfVYktuBx4FXgWuq6kcAST4K7AZOAnZU1WNtW785Th+SpOlYNkyq6mHgvEXqTzO4frKw/n+Af7bEtn4b+O1F6ncCdx6NPiRJk+cn4CVJ3QwTSVI3w0SS1M0wkSR1M0wkSd0ME0lSN8NEktTNMJEkdTNMJEndDBNJUjfDRJLUzTCRJHUzTCRJ3QwTSVI3w0SS1M0wkSR1M0wkSd0ME0lSN8NEktTNMJEkdTNMJEndDBNJUjfDRJLUzTCRJHUzTCRJ3ZYNkyRnJ/lmkseTPJbkY61+epI9SZ5qz6e1epJcn2QuycNJzh/a1tbW/qkkW4fq70nySFvn+iRZaR+SpMkb5cjkVeBfV9W5wEbgmiTnAtuBu6tqA3B3mwe4GNjQHtuAG2AQDMC1wHuBC4Br58Ohtfnw0HqbW32sPiRJ07FsmFTV/qp6oE3/JfAEcBawBdjZmu0ELmvTW4BbauAeYHWSM4GLgD1VdbiqXgT2AJvbslOr6p6qKuCWBdsapw9J0hSMdc0kyXrgPOBeYG1V7W+LngfWtumzgOeGVtvbakeq712kzgr6kCRNwchhkuSngD8CPl5VLw8va0cUdZTH9hor6SPJtiSzSWYPHjx4jEYmSRopTJK8iUGQfLmq/riVX5g/tdSeD7T6PuDsodXXtdqR6usWqa+kj9eoqhuraqaqZtasWTPKjypJWoFR7uYKcBPwRFX9ztCiXcD8HVlbgTuG6le2O642Ai+1U1W7gU1JTmsX3jcBu9uyl5NsbH1duWBb4/QhSZqCVSO0+XngnwOPJHmo1f4tcB1we5KrgWeBy9uyO4FLgDngFeAqgKo6nOTTwH2t3aeq6nCb/ghwM3AKcFd7MG4fkqTpWDZMqup/Alli8YWLtC/gmiW2tQPYsUh9FnjnIvVD4/YhSZo8PwEvSepmmEiSuhkmkqRuhokkqZthIknqZphIkroZJpKkboaJJKmbYSJJ6maYSJK6GSaSpG6GiSSpm2EiSepmmEiSuhkmkqRuhokkqZthIknqNsp/26spWr/9a1Pp95nrLp1Kv5JOTB6ZSJK6GSaSpG6GiSSpm2EiSepmmEiSuhkmkqRuhokkqduyYZJkR5IDSR4dqp2eZE+Sp9rzaa2eJNcnmUvycJLzh9bZ2to/lWTrUP09SR5p61yfJCvtQ5I0HaMcmdwMbF5Q2w7cXVUbgLvbPMDFwIb22AbcAINgAK4F3gtcAFw7Hw6tzYeH1tu8kj4kSdOzbJhU1Z8BhxeUtwA72/RO4LKh+i01cA+wOsmZwEXAnqo6XFUvAnuAzW3ZqVV1T1UVcMuCbY3ThyRpSlZ6zWRtVe1v088Da9v0WcBzQ+32ttqR6nsXqa+kD0nSlHRfgG9HFHUUxnLU+0iyLclsktmDBw8eg5FJkmDlYfLC/Kml9nyg1fcBZw+1W9dqR6qvW6S+kj7+P1V1Y1XNVNXMmjVrxvoBJUmjW2mY7ALm78jaCtwxVL+y3XG1EXipnaraDWxKclq78L4J2N2WvZxkY7uL68oF2xqnD0nSlCz7FfRJ/gD4B8AZSfYyuCvrOuD2JFcDzwKXt+Z3ApcAc8ArwFUAVXU4yaeB+1q7T1XV/EX9jzC4Y+wU4K72YNw+JEnTs2yYVNWHllh04SJtC7hmie3sAHYsUp8F3rlI/dC4fUiSpsNPwEuSuhkmkqRuhokkqZthIknqZphIkroZJpKkboaJJKnbsp8z0RvT+u1fm1rfz1x36dT6lrQyHplIkroZJpKkboaJJKmbYSJJ6maYSJK6GSaSpG6GiSSpm2EiSermhxZ13JnWByb9sKS0ch6ZSJK6GSaSpG6GiSSpm2EiSermBXip8cK/jqXX+zdxe2QiSepmmEiSunmaS5qy1/vpD70xnLBhkmQz8HngJOCLVXXdlIcknXC8TqSj5YQMkyQnAV8AfhHYC9yXZFdVPT7dkUkahUdjrz8nZJgAFwBzVfU0QJJbgS2AYSLpiKYZZK9nJ+oF+LOA54bm97aaJGkKTtQjk5Ek2QZsa7N/leTJFW7qDOAvjs6ojirHNR7HNb7jdWyOawz5bNe4/s4ojU7UMNkHnD00v67VXqOqbgRu7O0syWxVzfRu52hzXONxXOM7XsfmuMYziXGdqKe57gM2JDknycnAFcCuKY9Jkt6wTsgjk6p6NclHgd0Mbg3eUVWPTXlYkvSGdUKGCUBV3QncOaHuuk+VHSOOazyOa3zH69gc13iO+bhSVce6D0nS69yJes1EknQcMUyWkWRzkieTzCXZPsVxnJ3km0keT/JYko+1+m8l2Zfkofa4ZApjeybJI63/2VY7PcmeJE+159MmPKafGdonDyV5OcnHp7G/kuxIciDJo0O1RfdPBq5vr7eHk5w/4XH9pyTfaX1/NcnqVl+f5H8P7bffm/C4lvy9JflE219PJrlowuO6bWhMzyR5qNUnub+Wem+Y7Gusqnws8WBwcf+7wDuAk4FvA+dOaSxnAue36bcCfw6cC/wW8G+mvJ+eAc5YUPuPwPY2vR347JR/j88zuF9+4vsLeD9wPvDocvsHuAS4CwiwEbh3wuPaBKxq058dGtf64XZT2F+L/t7av4FvA28Gzmn/Xk+a1LgWLP/PwL+fwv5a6r1hoq8xj0yO7Mdf21JVPwTmv7Zl4qpqf1U90Kb/EniC4/tT/1uAnW16J3DZFMdyIfDdqnp2Gp1X1Z8BhxeUl9o/W4BbauAeYHWSMyc1rqr6elW92mbvYfAZrolaYn8tZQtwa1X9oKq+B8wx+Hc70XElCXA58AfHou8jOcJ7w0RfY4bJkR2XX9uSZD1wHnBvK320Ha7umPTppKaArye5P4NvHQBYW1X72/TzwNopjGveFbz2H/m09xcsvX+Op9fcrzP4C3beOUkeTPI/kvzCFMaz2O/teNlfvwC8UFVPDdUmvr8WvDdM9DVmmJxgkvwU8EfAx6vqZeAG4O8C7wb2MzjUnrT3VdX5wMXANUneP7ywBsfWU7ltMIMPtX4Q+MNWOh7212tMc/8sJckngVeBL7fSfuBvV9V5wL8Cfj/JqRMc0nH3e1vgQ7z2D5aJ769F3ht+bBKvMcPkyEb62pZJSfImBi+WL1fVHwNU1QtV9aOq+mvgv3KMDvGPpKr2tecDwFfbGF6YP3RuzwcmPa7mYuCBqnqhjXHq+6tZav9M/TWX5NeAXwJ+tb0J0U4jHWrT9zO4NvH3JjWmI/zejof9tQr4J8Bt87VJ76/F3huY8GvMMDmy4+ZrW9o52ZuAJ6rqd4bqw+c6fxl4dOG6x3hcb0ny1vlpBhdwH2Wwn7a2ZluBOyY5riGv+Ytx2vtryFL7ZxdwZbvjZiPw0tCpimMug/907jeAD1bVK0P1NRn8P0IkeQewAXh6guNa6ve2C7giyZuTnNPG9a1Jjav5R8B3qmrvfGGS+2up9wYm/RqbxN0GJ/KDwZ0Pf87gL4tPTnEc72NwmPow8FB7XAJ8CXik1XcBZ054XO9gcDfNt4HH5vcR8HbgbuAp4L8Dp09hn70FOAS8bag28f3FIMz2A/+Xwfnpq5faPwzusPlCe709AsxMeFxzDM6nz7/Gfq+1/aft9/sQ8ADwjyc8riV/b8An2/56Erh4kuNq9ZuBf7Gg7ST311LvDRN9jfkJeElSN09zSZK6GSaSpG6GiSSpm2EiSepmmEiSuhkmkqRuhokkqZthIknq9v8A1zJvzzR4bdIAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 432x288 with 1 Axes>",
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "_uuid": "e3436883e8fa358e21def877c736b5c6ff210999"
      },
      "cell_type": "markdown",
      "source": "# Get prediction"
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "840aa03b49d675953f080e4069f79f435282bb43"
      },
      "cell_type": "markdown",
      "source": "## `get_prediction_days` function\n\nGenerator which loops through each \"prediction day\" (trading day) and provides all market and news observations which occurred since the last data you've received.  Once you call **`predict`** to make your future predictions, you can continue on to the next prediction day.\n\nYields:\n* While there are more prediction day(s) and `predict` was called successfully since the last yield, yields a tuple of:\n    * `market_observations_df`: DataFrame with market observations for the next prediction day.\n    * `news_observations_df`: DataFrame with news observations for the next prediction day.\n    * `predictions_template_df`: DataFrame with `assetCode` and `confidenceValue` columns, prefilled with `confidenceValue = 0`, to be filled in and passed back to the `predict` function.\n* If `predict` has not been called since the last yield, yields `None`."
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "724c38149860c8e9058474ac9045c2301e8a20da"
      },
      "cell_type": "code",
      "source": "# You can only iterate through a result from `get_prediction_days()` once\n# so be careful not to lose it once you start iterating.\ndays = env.get_prediction_days()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "8d5781f889893e3e34b054687fd538c1a76bfdcc"
      },
      "cell_type": "code",
      "source": "(market_obs_df, news_obs_df, predictions_template_df) = next(days)",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "fe1cb6accc3536258e7687c64ab3e5e5caa6334a"
      },
      "cell_type": "code",
      "source": "market_obs_df.head()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "11c5b072aefdd54e6fbe9ae71dc3ea41909ade19"
      },
      "cell_type": "code",
      "source": "news_obs_df.head()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "f99f6364881767a4071da9ea19e18163a7ce066b"
      },
      "cell_type": "code",
      "source": "predictions_template_df.head()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "_uuid": "11e95f2e3d493ee6e1023c7a4191310adde5d2bf"
      },
      "cell_type": "markdown",
      "source": "Note that we'll get an error if we try to continue on to the next prediction day without making our predictions for the current day."
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "b8ac953a3afbfca2fb200bbf8f0f7339bec7e6f1"
      },
      "cell_type": "code",
      "source": "next(days)",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "ba72731adf652d6011652e906d8b340d6572904e"
      },
      "cell_type": "markdown",
      "source": "### **`predict`** function\nStores your predictions for the current prediction day.  Expects the same format as you saw in `predictions_template_df` returned from `get_prediction_days`.\n\nArgs:\n* `predictions_df`: DataFrame which must have the following columns:\n    * `assetCode`: The market asset.\n    * `confidenceValue`: Your confidence whether the asset will increase or decrease in 10 trading days.  All values must be in the range `[-1.0, 1.0]`.\n\nThe `predictions_df` you send **must** contain the exact set of rows which were given to you in the `predictions_template_df` returned from `get_prediction_days`.  The `predict` function does not validate this, but if you are missing any `assetCode`s or add any extraneous `assetCode`s, then your submission will fail."
    },
    {
      "metadata": {
        "_uuid": "9cd8317a5e52180b592ee2abc1d2177214642a3c"
      },
      "cell_type": "markdown",
      "source": "Let's make random predictions for the first day:"
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "a3f2197ed790f1aff1356a6954575fde976a4935"
      },
      "cell_type": "code",
      "source": "import numpy as np\ndef make_random_predictions(predictions_df):\n    predictions_df.confidenceValue = 2.0 * np.random.rand(len(predictions_df)) - 1.0",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "ca72b7003f24f4aa0c4afe25b600aae31abd64d5"
      },
      "cell_type": "code",
      "source": "make_random_predictions(predictions_template_df)\nenv.predict(predictions_template_df)",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "_uuid": "ff62c167b459c5895383fb05fd9260c14be8c1b8"
      },
      "cell_type": "markdown",
      "source": "Now we can continue on to the next prediction day and make another round of random predictions for it:"
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "4e2293d44aad86d09d25326c4ede6f566ab69721"
      },
      "cell_type": "code",
      "source": "(market_obs_df, news_obs_df, predictions_template_df) = next(days)",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "140aee54dc838549f87f041a97c7a809ee4e0f6f"
      },
      "cell_type": "code",
      "source": "market_obs_df.head()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "b02d43dec4b881564cd43ff6239c7aa97d94a7af"
      },
      "cell_type": "code",
      "source": "news_obs_df.head()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "5233f1b22f5ddac08adb50bbaa6444a0da4a24bc"
      },
      "cell_type": "code",
      "source": "predictions_template_df.head()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "a19142739096135d237e2837d8e10c992e53a6e5"
      },
      "cell_type": "code",
      "source": "make_random_predictions(predictions_template_df)\nenv.predict(predictions_template_df)",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "_uuid": "8056b881707072c379ad2e89b9c59c3c041a2ab7"
      },
      "cell_type": "markdown",
      "source": "## Main Loop\nLet's loop through all the days and make our random predictions.  The `days` generator (returned from `get_prediction_days`) will simply stop returning values once you've reached the end."
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "ef60bc52a8a228e5a2ce18e4bd416f1f1f25aeae"
      },
      "cell_type": "code",
      "source": "for (market_obs_df, news_obs_df, predictions_template_df) in days:\n    make_random_predictions(predictions_template_df)\n    env.predict(predictions_template_df)\nprint('Done!')",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "_uuid": "7c8fbcca87c7f6abc53e86408417bf12ce21bb7f"
      },
      "cell_type": "markdown",
      "source": "## **`write_submission_file`** function\n\nWrites your predictions to a CSV file (`submission.csv`) in the current working directory."
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "2c8ed34ffb2c47c6e124530ec798c0b4eb01ddd5"
      },
      "cell_type": "code",
      "source": "env.write_submission_file()",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "_uuid": "d38aa8a67cad3f0c105db7e764ec9b805db39ceb"
      },
      "cell_type": "code",
      "source": "# We've got a submission file!\nimport os\nprint([filename for filename in os.listdir('.') if '.csv' in filename])",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "_uuid": "f464f37885ffa763a2592e2867d74685f75be506"
      },
      "cell_type": "markdown",
      "source": "As indicated by the helper message, calling `write_submission_file` on its own does **not** make a submission to the competition.  It merely tells the module to write the `submission.csv` file as part of the Kernel's output.  To make a submission to the competition, you'll have to **Commit** your Kernel and find the generated `submission.csv` file in that Kernel Version's Output tab (note this is _outside_ of the Kernel Editor), then click \"Submit to Competition\".  When we re-run your Kernel during Stage Two, we will run the Kernel Version (generated when you hit \"Commit\") linked to your chosen Submission."
    },
    {
      "metadata": {
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      },
      "cell_type": "markdown",
      "source": "## Restart the Kernel to run your code again\nIn order to combat cheating, you are only allowed to call `make_env` or iterate through `get_prediction_days` once per Kernel run.  However, while you're iterating on your model it's reasonable to try something out, change the model a bit, and try it again.  Unfortunately, if you try to simply re-run the code, or even refresh the browser page, you'll still be running on the same Kernel execution session you had been running before, and the `twosigmanews` module will still throw errors.  To get around this, you need to explicitly restart your Kernel execution session, which you can do by pressing the Restart button in the Kernel Editor's bottom Console tab:\n![Restart button](https://i.imgur.com/hudu8jF.png)"
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