diff --git a/.ipynb_checkpoints/ffmreturns-checkpoint b/.ipynb_checkpoints/ffmreturns-checkpoint
new file mode 100644
index 0000000..5bced18
--- /dev/null
+++ b/.ipynb_checkpoints/ffmreturns-checkpoint
@@ -0,0 +1,100 @@
+ADBE,0.3297610282865694
+MSFT,0.3225006496044267
+CTAS,0.2859733002204454
+BBY,0.2640730920141721
+SNPS,0.25897876742285353
+FISV,0.24990297848444798
+UNH,0.24309382373184238
+FB,0.23878909384322328
+RMD,0.23631678016476249
+AAPL,0.23604932199955078
+MCO,0.23485811677381752
+BSX,0.23386062128084006
+BA,0.23323612695525472
+MTD,0.2328952696179387
+MSI,0.23146830458678086
+OKE,0.23014778207879386
+NEE,0.22798619050096225
+ACN,0.225818128420618
+TXN,0.22491230637789683
+TMO,0.22339609173340735
+GOOGL,0.21463984288683724
+DXC,0.21090615329816487
+NRG,0.20866969560486595
+CRM,0.20747020399236582
+CINF,0.19983786702761977
+RCL,0.19565944392066684
+AJG,0.19558301781587423
+RTN,0.19479613991497
+FMC,0.19386685693474592
+COST,0.1921299735178258
+NEM,0.18968579649834488
+TGT,0.1850698189348571
+ADP,0.18326947581738273
+AON,0.18316741852219454
+SBUX,0.17774496669754897
+HII,0.1723097618928521
+HLT,0.17104685108303183
+LNT,0.16624432746404136
+IT,0.16521374355769894
+PHM,0.16513204010023563
+CCI,0.16397523743042758
+AES,0.16265380753609693
+RJF,0.1550462998103735
+APD,0.15316088144652082
+AMGN,0.15174865810801244
+MRK,0.1470158610669735
+MGM,0.14633287861111777
+GWW,0.14375378284097465
+EFX,0.14091486053075086
+AXP,0.1322522270329868
+ALB,0.13220722861896406
+HOLX,0.12996771202046364
+FE,0.1299095587244921
+VFC,0.12911080366775834
+ETN,0.12899826119201457
+HSY,0.12508534205222416
+WMT,0.12505470711955646
+MDT,0.12421349008442331
+LKQ,0.12177166088583005
+CNP,0.12150168720845926
+PEP,0.11793526453693497
+COF,0.11610429860555255
+EIX,0.11470824011644254
+LUV,0.10783286161659233
+KO,0.10382014867597877
+LYB,0.1035124663018064
+GS,0.09991453877165773
+KMX,0.09928523351871378
+PPL,0.09823927431199717
+SYF,0.09183609795442904
+EQR,0.08949458007993966
+EXPE,0.0862855530385388
+GM,0.08449462028501559
+BMY,0.08317680705161642
+ORCL,0.0773501478844939
+INCY,0.07679309483980977
+GPC,0.07422802537055226
+IRM,0.07306073071186923
+FFIV,0.0649893956263632
+GIS,0.06314688753298886
+DISCK,0.06155249624087282
+HST,0.052833241856252385
+RL,0.0462670767467909
+FCX,0.03864626404421445
+NWS,0.025555928100843527
+FDX,0.024253909510178945
+ABC,0.018486985894230375
+HRB,0.0011037382541728281
+WBA,-0.00740543302934619
+BWA,-0.008936780754010469
+CVS,-0.010387316592991813
+MHK,-0.01639706077444565
+NBL,-0.0381337135963052
+KMI,-0.0385112142823507
+OXY,-0.042821393899740684
+COG,-0.050016632355008334
+SRCL,-0.08588067563687068
+M,-0.12659804983237255
+MYL,-0.13082884844793088
+AMG,-0.13879823286529672
diff --git a/.ipynb_checkpoints/selection_criteria-checkpoint.ipynb b/.ipynb_checkpoints/selection_criteria-checkpoint.ipynb
index 3f8e59f..2b53187 100644
--- a/.ipynb_checkpoints/selection_criteria-checkpoint.ipynb
+++ b/.ipynb_checkpoints/selection_criteria-checkpoint.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -127,7 +127,7 @@
        "[505 rows x 2 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -141,7 +141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -240,7 +240,7 @@
        "[100 rows x 1 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -254,7 +254,120 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>FFM Returns</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Stock</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ADBE</th>\n",
+       "      <td>0.329761</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.322501</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CTAS</th>\n",
+       "      <td>0.285973</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BBY</th>\n",
+       "      <td>0.264073</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SNPS</th>\n",
+       "      <td>0.258979</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COG</th>\n",
+       "      <td>-0.050017</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SRCL</th>\n",
+       "      <td>-0.085881</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>M</th>\n",
+       "      <td>-0.126598</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MYL</th>\n",
+       "      <td>-0.130829</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMG</th>\n",
+       "      <td>-0.138798</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       FFM Returns\n",
+       "Stock             \n",
+       "ADBE      0.329761\n",
+       "MSFT      0.322501\n",
+       "CTAS      0.285973\n",
+       "BBY       0.264073\n",
+       "SNPS      0.258979\n",
+       "...            ...\n",
+       "COG      -0.050017\n",
+       "SRCL     -0.085881\n",
+       "M        -0.126598\n",
+       "MYL      -0.130829\n",
+       "AMG      -0.138798\n",
+       "\n",
+       "[100 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# importing sharpe ratio data\n",
+    "ffm_path = Path('ffmreturns.csv')\n",
+    "ffm_df = pd.read_csv(ffm_path, index_col = 'Stock')\n",
+    "ffm_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -405,7 +518,7 @@
        "[100 rows x 5 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -419,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -447,6 +560,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -461,6 +575,7 @@
        "      <td>Accenture plc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.113858</td>\n",
+       "      <td>0.225818</td>\n",
        "      <td>28.34</td>\n",
        "      <td>7.49</td>\n",
        "      <td>1.03</td>\n",
@@ -473,6 +588,7 @@
        "      <td>Adobe Systems Inc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.616060</td>\n",
+       "      <td>0.329761</td>\n",
        "      <td>63.17</td>\n",
        "      <td>6.01</td>\n",
        "      <td>1.09</td>\n",
@@ -485,6 +601,7 @@
        "      <td>AES Corp</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.182641</td>\n",
+       "      <td>0.162654</td>\n",
        "      <td>27.44</td>\n",
        "      <td>0.76</td>\n",
        "      <td>1.05</td>\n",
@@ -497,6 +614,7 @@
        "      <td>Affiliated Managers Group Inc</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.097986</td>\n",
+       "      <td>-0.138798</td>\n",
        "      <td>267.18</td>\n",
        "      <td>0.31</td>\n",
        "      <td>1.69</td>\n",
@@ -509,6 +627,7 @@
        "      <td>Air Products &amp; Chemicals Inc</td>\n",
        "      <td>Materials</td>\n",
        "      <td>1.224824</td>\n",
+       "      <td>0.153161</td>\n",
        "      <td>30.09</td>\n",
        "      <td>8.51</td>\n",
        "      <td>0.86</td>\n",
@@ -526,6 +645,7 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>87</th>\n",
@@ -533,6 +653,7 @@
        "      <td>Thermo Fisher Scientific</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.957237</td>\n",
+       "      <td>0.223396</td>\n",
        "      <td>36.98</td>\n",
        "      <td>9.17</td>\n",
        "      <td>1.14</td>\n",
@@ -545,6 +666,7 @@
        "      <td>United Health Group Inc.</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.892893</td>\n",
+       "      <td>0.243094</td>\n",
        "      <td>20.86</td>\n",
        "      <td>14.33</td>\n",
        "      <td>0.69</td>\n",
@@ -557,6 +679,7 @@
        "      <td>V.F. Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.323241</td>\n",
+       "      <td>0.129111</td>\n",
        "      <td>25.99</td>\n",
        "      <td>3.22</td>\n",
        "      <td>1.20</td>\n",
@@ -569,6 +692,7 @@
        "      <td>Wal-Mart Stores</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.271096</td>\n",
+       "      <td>0.125055</td>\n",
        "      <td>23.55</td>\n",
        "      <td>5.00</td>\n",
        "      <td>0.36</td>\n",
@@ -581,6 +705,7 @@
        "      <td>Walgreens Boots Alliance</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.224201</td>\n",
+       "      <td>-0.007405</td>\n",
        "      <td>13.00</td>\n",
        "      <td>4.07</td>\n",
        "      <td>0.92</td>\n",
@@ -589,7 +714,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>92 rows × 9 columns</p>\n",
+       "<p>92 rows × 10 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -606,33 +731,46 @@
        "90    WMT                Wal-Mart Stores        Consumer Staples   \n",
        "91    WBA       Walgreens Boots Alliance        Consumer Staples   \n",
        "\n",
-       "    sharpe ratio  P/E ratio    EPS  beta       mkt cap      shares  \n",
-       "0       1.113858      28.34   7.49  1.03  139515576338   656946000  \n",
-       "1       0.616060      63.17   6.01  1.09  185174936969   487726000  \n",
-       "2       1.182641      27.44   0.76  1.05   13895280692   663893000  \n",
-       "3       1.097986     267.18   0.31  1.69    4084648875    49272000  \n",
-       "4       1.224824      30.09   8.51  0.86   56495776935   220678000  \n",
-       "..           ...        ...    ...   ...           ...         ...  \n",
-       "87      0.957237      36.98   9.17  1.14  136012138268   400991000  \n",
-       "88      0.892893      20.86  14.33  0.69  283068652543   947415000  \n",
-       "89      1.323241      25.99   3.22  1.20   33022293377   394720000  \n",
-       "90      1.271096      23.55   5.00  0.36  334474559018  2837175000  \n",
-       "91      2.224201      13.00   4.07  0.92   46817805348   885862000  \n",
+       "    sharpe ratio  FFM returns  P/E ratio    EPS  beta       mkt cap  \\\n",
+       "0       1.113858     0.225818      28.34   7.49  1.03  139515576338   \n",
+       "1       0.616060     0.329761      63.17   6.01  1.09  185174936969   \n",
+       "2       1.182641     0.162654      27.44   0.76  1.05   13895280692   \n",
+       "3       1.097986    -0.138798     267.18   0.31  1.69    4084648875   \n",
+       "4       1.224824     0.153161      30.09   8.51  0.86   56495776935   \n",
+       "..           ...          ...        ...    ...   ...           ...   \n",
+       "87      0.957237     0.223396      36.98   9.17  1.14  136012138268   \n",
+       "88      0.892893     0.243094      20.86  14.33  0.69  283068652543   \n",
+       "89      1.323241     0.129111      25.99   3.22  1.20   33022293377   \n",
+       "90      1.271096     0.125055      23.55   5.00  0.36  334474559018   \n",
+       "91      2.224201    -0.007405      13.00   4.07  0.92   46817805348   \n",
+       "\n",
+       "        shares  \n",
+       "0    656946000  \n",
+       "1    487726000  \n",
+       "2    663893000  \n",
+       "3     49272000  \n",
+       "4    220678000  \n",
+       "..         ...  \n",
+       "87   400991000  \n",
+       "88   947415000  \n",
+       "89   394720000  \n",
+       "90  2837175000  \n",
+       "91   885862000  \n",
        "\n",
-       "[92 rows x 9 columns]"
+       "[92 rows x 10 columns]"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# concatenating the datasets and dropping nulls\n",
-    "merged_df = pd.concat([sp500_df,sharpe_df,stock_data_df], axis='columns', join='inner')\n",
+    "merged_df = pd.concat([sp500_df,sharpe_df,ffm_df,stock_data_df], axis='columns', join='inner')\n",
     "merged_df.dropna(inplace=True)\n",
     "merged_df.reset_index(inplace=True)\n",
-    "merged_df.columns = ['ticker','name','sector','sharpe ratio','P/E ratio','EPS','beta','mkt cap','shares']\n",
+    "merged_df.columns = ['ticker','name','sector','sharpe ratio','FFM returns','P/E ratio','EPS','beta','mkt cap','shares']\n",
     "merged_df"
    ]
   },
@@ -719,7 +857,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'FFM Returns')"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1800x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plotting returns\n",
+    "merged_df.plot(x='ticker',y='FFM returns', kind='bar', figsize=(25,10))\n",
+    "plt.suptitle('FFM Returns in Investment Universe', fontsize=30)\n",
+    "plt.xlabel('Company Ticker',fontsize=20)\n",
+    "plt.ylabel('FFM Returns',fontsize=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -732,9 +906,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  after removing the cwd from sys.path.\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  if sys.path[0] == '':\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:16: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  app.launch_new_instance()\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:20: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:24: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:28: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:32: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:36: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:40: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
+     ]
+    }
+   ],
    "source": [
     "# creating datasets for each sector\n",
     "cd_mask = merged_df['sector'] == 'Consumer Discretionary'\n",
@@ -780,7 +1005,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -808,6 +1033,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -822,6 +1048,7 @@
        "      <td>Genuine Parts</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.924464</td>\n",
+       "      <td>0.074228</td>\n",
        "      <td>17.71</td>\n",
        "      <td>5.45</td>\n",
        "      <td>0.89</td>\n",
@@ -834,6 +1061,7 @@
        "      <td>Expedia Inc.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.407311</td>\n",
+       "      <td>0.086286</td>\n",
        "      <td>32.58</td>\n",
        "      <td>3.77</td>\n",
        "      <td>1.01</td>\n",
@@ -846,6 +1074,7 @@
        "      <td>Discovery Communications-C</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.309659</td>\n",
+       "      <td>0.061552</td>\n",
        "      <td>11.10</td>\n",
        "      <td>2.59</td>\n",
        "      <td>1.45</td>\n",
@@ -858,6 +1087,7 @@
        "      <td>LKQ Corporation</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.216066</td>\n",
+       "      <td>0.121772</td>\n",
        "      <td>23.73</td>\n",
        "      <td>1.40</td>\n",
        "      <td>1.30</td>\n",
@@ -870,6 +1100,7 @@
        "      <td>General Motors</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.903721</td>\n",
+       "      <td>0.084495</td>\n",
        "      <td>7.60</td>\n",
        "      <td>4.57</td>\n",
        "      <td>1.38</td>\n",
@@ -882,6 +1113,7 @@
        "      <td>Carmax Inc</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.703158</td>\n",
+       "      <td>0.099285</td>\n",
        "      <td>19.16</td>\n",
        "      <td>5.16</td>\n",
        "      <td>1.10</td>\n",
@@ -894,6 +1126,7 @@
        "      <td>Polo Ralph Lauren Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.685028</td>\n",
+       "      <td>0.046267</td>\n",
        "      <td>14.16</td>\n",
        "      <td>8.61</td>\n",
        "      <td>0.90</td>\n",
@@ -906,6 +1139,7 @@
        "      <td>BorgWarner</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.682271</td>\n",
+       "      <td>-0.008937</td>\n",
        "      <td>9.20</td>\n",
        "      <td>3.71</td>\n",
        "      <td>1.91</td>\n",
@@ -918,6 +1152,7 @@
        "      <td>Starbucks Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.388488</td>\n",
+       "      <td>0.177745</td>\n",
        "      <td>29.15</td>\n",
        "      <td>3.06</td>\n",
        "      <td>0.56</td>\n",
@@ -930,6 +1165,7 @@
        "      <td>Royal Caribbean Cruises Ltd</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.347063</td>\n",
+       "      <td>0.195659</td>\n",
        "      <td>12.55</td>\n",
        "      <td>9.02</td>\n",
        "      <td>1.44</td>\n",
@@ -942,6 +1178,7 @@
        "      <td>Target Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.340882</td>\n",
+       "      <td>0.185070</td>\n",
        "      <td>18.64</td>\n",
        "      <td>6.26</td>\n",
        "      <td>0.56</td>\n",
@@ -954,6 +1191,7 @@
        "      <td>V.F. Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.323241</td>\n",
+       "      <td>0.129111</td>\n",
        "      <td>25.99</td>\n",
        "      <td>3.22</td>\n",
        "      <td>1.20</td>\n",
@@ -966,6 +1204,7 @@
        "      <td>Mohawk Industries</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.255168</td>\n",
+       "      <td>-0.016397</td>\n",
        "      <td>13.40</td>\n",
        "      <td>10.30</td>\n",
        "      <td>1.36</td>\n",
@@ -978,6 +1217,7 @@
        "      <td>Pulte Homes Inc.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.125225</td>\n",
+       "      <td>0.165132</td>\n",
        "      <td>12.77</td>\n",
        "      <td>3.66</td>\n",
        "      <td>0.56</td>\n",
@@ -990,6 +1230,7 @@
        "      <td>Hilton Worldwide Holdings Inc</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.059899</td>\n",
+       "      <td>0.171047</td>\n",
        "      <td>37.27</td>\n",
        "      <td>3.04</td>\n",
        "      <td>1.14</td>\n",
@@ -1002,6 +1243,7 @@
        "      <td>Macy's Inc.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>0.826483</td>\n",
+       "      <td>-0.126598</td>\n",
        "      <td>5.39</td>\n",
        "      <td>3.09</td>\n",
        "      <td>0.66</td>\n",
@@ -1014,6 +1256,7 @@
        "      <td>Best Buy Co. Inc.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>0.823915</td>\n",
+       "      <td>0.264073</td>\n",
        "      <td>15.98</td>\n",
        "      <td>5.64</td>\n",
        "      <td>1.12</td>\n",
@@ -1044,27 +1287,46 @@
        "56      M                    Macy's Inc.  Consumer Discretionary   \n",
        "15    BBY              Best Buy Co. Inc.  Consumer Discretionary   \n",
        "\n",
-       "    sharpe ratio  P/E ratio    EPS  beta       mkt cap      shares  \n",
-       "44      2.924464      17.71   5.45  0.89   14016415887   145293000  \n",
-       "33      2.407311      32.58   3.77  1.01   17792025802   139363000  \n",
-       "30      2.309659      11.10   2.59  1.45   15392873644   360664000  \n",
-       "54      2.216066      23.73   1.40  1.30   10174538633   306462000  \n",
-       "43      1.903721       7.60   4.57  1.38   49672072361  1429002000  \n",
-       "22      1.703158      19.16   5.16  1.10   16144071451   163385000  \n",
-       "72      1.685028      14.16   8.61  0.90    8984857815    48862000  \n",
-       "17      1.682271       9.20   3.71  1.91    7048901814   206410000  \n",
-       "81      1.388488      29.15   3.06  0.56  104787934567  1173700000  \n",
-       "78      1.347063      12.55   9.02  1.44   23627921924   208801000  \n",
-       "84      1.340882      18.64   6.26  0.56   59100734918   506737000  \n",
-       "89      1.323241      25.99   3.22  1.20   33022293377   394720000  \n",
-       "61      1.255168      13.40  10.30  1.36    9882403253    71622000  \n",
-       "74      1.125225      12.77   3.66  0.56   12605132379   269975000  \n",
-       "47      1.059899      37.27   3.04  1.14   31415437971   277448000  \n",
-       "56      0.826483       5.39   3.09  0.66    5150446573   308965000  \n",
-       "15      0.823915      15.98   5.64  1.12   23344272933   258777000  "
+       "    sharpe ratio  FFM returns  P/E ratio    EPS  beta       mkt cap  \\\n",
+       "44      2.924464     0.074228      17.71   5.45  0.89   14016415887   \n",
+       "33      2.407311     0.086286      32.58   3.77  1.01   17792025802   \n",
+       "30      2.309659     0.061552      11.10   2.59  1.45   15392873644   \n",
+       "54      2.216066     0.121772      23.73   1.40  1.30   10174538633   \n",
+       "43      1.903721     0.084495       7.60   4.57  1.38   49672072361   \n",
+       "22      1.703158     0.099285      19.16   5.16  1.10   16144071451   \n",
+       "72      1.685028     0.046267      14.16   8.61  0.90    8984857815   \n",
+       "17      1.682271    -0.008937       9.20   3.71  1.91    7048901814   \n",
+       "81      1.388488     0.177745      29.15   3.06  0.56  104787934567   \n",
+       "78      1.347063     0.195659      12.55   9.02  1.44   23627921924   \n",
+       "84      1.340882     0.185070      18.64   6.26  0.56   59100734918   \n",
+       "89      1.323241     0.129111      25.99   3.22  1.20   33022293377   \n",
+       "61      1.255168    -0.016397      13.40  10.30  1.36    9882403253   \n",
+       "74      1.125225     0.165132      12.77   3.66  0.56   12605132379   \n",
+       "47      1.059899     0.171047      37.27   3.04  1.14   31415437971   \n",
+       "56      0.826483    -0.126598       5.39   3.09  0.66    5150446573   \n",
+       "15      0.823915     0.264073      15.98   5.64  1.12   23344272933   \n",
+       "\n",
+       "        shares  \n",
+       "44   145293000  \n",
+       "33   139363000  \n",
+       "30   360664000  \n",
+       "54   306462000  \n",
+       "43  1429002000  \n",
+       "22   163385000  \n",
+       "72    48862000  \n",
+       "17   206410000  \n",
+       "81  1173700000  \n",
+       "78   208801000  \n",
+       "84   506737000  \n",
+       "89   394720000  \n",
+       "61    71622000  \n",
+       "74   269975000  \n",
+       "47   277448000  \n",
+       "56   308965000  \n",
+       "15   258777000  "
       ]
      },
-     "execution_count": 49,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1077,7 +1339,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1105,6 +1367,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1119,6 +1382,7 @@
        "      <td>General Mills</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.641281</td>\n",
+       "      <td>0.063147</td>\n",
        "      <td>15.34</td>\n",
        "      <td>3.48</td>\n",
        "      <td>0.73</td>\n",
@@ -1131,6 +1395,7 @@
        "      <td>Walgreens Boots Alliance</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.224201</td>\n",
+       "      <td>-0.007405</td>\n",
        "      <td>13.00</td>\n",
        "      <td>4.07</td>\n",
        "      <td>0.92</td>\n",
@@ -1143,6 +1408,7 @@
        "      <td>Coca-Cola Company (The)</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.197158</td>\n",
+       "      <td>0.103820</td>\n",
        "      <td>28.99</td>\n",
        "      <td>2.07</td>\n",
        "      <td>0.41</td>\n",
@@ -1155,6 +1421,7 @@
        "      <td>PepsiCo Inc.</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.951250</td>\n",
+       "      <td>0.117935</td>\n",
        "      <td>28.31</td>\n",
        "      <td>5.19</td>\n",
        "      <td>0.53</td>\n",
@@ -1167,6 +1434,7 @@
        "      <td>CVS Health</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.707963</td>\n",
+       "      <td>-0.010387</td>\n",
        "      <td>14.05</td>\n",
        "      <td>5.08</td>\n",
        "      <td>0.93</td>\n",
@@ -1179,6 +1447,7 @@
        "      <td>The Hershey Company</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.469682</td>\n",
+       "      <td>0.125085</td>\n",
        "      <td>29.33</td>\n",
        "      <td>5.47</td>\n",
        "      <td>0.02</td>\n",
@@ -1191,6 +1460,7 @@
        "      <td>Wal-Mart Stores</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.271096</td>\n",
+       "      <td>0.125055</td>\n",
        "      <td>23.55</td>\n",
        "      <td>5.00</td>\n",
        "      <td>0.36</td>\n",
@@ -1203,6 +1473,7 @@
        "      <td>Costco Wholesale Corp.</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.060644</td>\n",
+       "      <td>0.192130</td>\n",
        "      <td>37.75</td>\n",
        "      <td>8.43</td>\n",
        "      <td>0.90</td>\n",
@@ -1224,18 +1495,18 @@
        "90    WMT           Wal-Mart Stores  Consumer Staples      1.271096   \n",
        "27   COST    Costco Wholesale Corp.  Consumer Staples      1.060644   \n",
        "\n",
-       "    P/E ratio   EPS  beta       mkt cap      shares  \n",
-       "42      15.34  3.48  0.73   32242795100   604817000  \n",
-       "91      13.00  4.07  0.92   46817805348   885862000  \n",
-       "26      28.99  2.07  0.41  256586003265  4280000000  \n",
-       "71      28.31  5.19  0.53  204968008309  1389545000  \n",
-       "29      14.05  5.08  0.93   92849804253  1300964000  \n",
-       "86      29.33  5.47  0.02   23779704176   148308000  \n",
-       "90      23.55  5.00  0.36  334474559018  2837175000  \n",
-       "27      37.75  8.43  0.90  140615987901   441758000  "
+       "    FFM returns  P/E ratio   EPS  beta       mkt cap      shares  \n",
+       "42     0.063147      15.34  3.48  0.73   32242795100   604817000  \n",
+       "91    -0.007405      13.00  4.07  0.92   46817805348   885862000  \n",
+       "26     0.103820      28.99  2.07  0.41  256586003265  4280000000  \n",
+       "71     0.117935      28.31  5.19  0.53  204968008309  1389545000  \n",
+       "29    -0.010387      14.05  5.08  0.93   92849804253  1300964000  \n",
+       "86     0.125085      29.33  5.47  0.02   23779704176   148308000  \n",
+       "90     0.125055      23.55  5.00  0.36  334474559018  2837175000  \n",
+       "27     0.192130      37.75  8.43  0.90  140615987901   441758000  "
       ]
      },
-     "execution_count": 40,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1248,7 +1519,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1276,6 +1547,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1290,6 +1562,7 @@
        "      <td>Occidental Petroleum</td>\n",
        "      <td>Energy</td>\n",
        "      <td>2.054771</td>\n",
+       "      <td>-0.042821</td>\n",
        "      <td>29.53</td>\n",
        "      <td>1.41</td>\n",
        "      <td>0.90</td>\n",
@@ -1302,6 +1575,7 @@
        "      <td>Cabot Oil &amp; Gas</td>\n",
        "      <td>Energy</td>\n",
        "      <td>1.952983</td>\n",
+       "      <td>-0.050017</td>\n",
        "      <td>7.80</td>\n",
        "      <td>1.90</td>\n",
        "      <td>0.47</td>\n",
@@ -1314,6 +1588,7 @@
        "      <td>Kinder Morgan</td>\n",
        "      <td>Energy</td>\n",
        "      <td>1.038470</td>\n",
+       "      <td>-0.038511</td>\n",
        "      <td>22.87</td>\n",
        "      <td>0.96</td>\n",
        "      <td>0.81</td>\n",
@@ -1326,6 +1601,7 @@
        "      <td>ONEOK</td>\n",
        "      <td>Energy</td>\n",
        "      <td>0.917326</td>\n",
+       "      <td>0.230148</td>\n",
        "      <td>25.56</td>\n",
        "      <td>3.01</td>\n",
        "      <td>1.11</td>\n",
@@ -1337,20 +1613,20 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                  name  sector  sharpe ratio  P/E ratio   EPS  beta  \\\n",
-       "68    OXY  Occidental Petroleum  Energy      2.054771      29.53  1.41  0.90   \n",
-       "20    COG       Cabot Oil & Gas  Energy      1.952983       7.80  1.90  0.47   \n",
-       "53    KMI         Kinder Morgan  Energy      1.038470      22.87  0.96  0.81   \n",
-       "69    OKE                 ONEOK  Energy      0.917326      25.56  3.01  1.11   \n",
+       "   ticker                  name  sector  sharpe ratio  FFM returns  P/E ratio  \\\n",
+       "68    OXY  Occidental Petroleum  Energy      2.054771    -0.042821      29.53   \n",
+       "20    COG       Cabot Oil & Gas  Energy      1.952983    -0.050017       7.80   \n",
+       "53    KMI         Kinder Morgan  Energy      1.038470    -0.038511      22.87   \n",
+       "69    OKE                 ONEOK  Energy      0.917326     0.230148      25.56   \n",
        "\n",
-       "        mkt cap      shares  \n",
-       "68  37161985836   893317000  \n",
-       "20   6037284157   407925000  \n",
-       "53  49831386000  2265063000  \n",
-       "69  31799253894   413085000  "
+       "     EPS  beta      mkt cap      shares  \n",
+       "68  1.41  0.90  37161985836   893317000  \n",
+       "20  1.90  0.47   6037284157   407925000  \n",
+       "53  0.96  0.81  49831386000  2265063000  \n",
+       "69  3.01  1.11  31799253894   413085000  "
       ]
      },
-     "execution_count": 41,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1363,7 +1639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1391,6 +1667,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1405,6 +1682,7 @@
        "      <td>Synchrony Financial</td>\n",
        "      <td>Financials</td>\n",
        "      <td>2.493336</td>\n",
+       "      <td>0.091836</td>\n",
        "      <td>6.07</td>\n",
        "      <td>5.56</td>\n",
        "      <td>1.21</td>\n",
@@ -1417,6 +1695,7 @@
        "      <td>Block H&amp;R</td>\n",
        "      <td>Financials</td>\n",
        "      <td>2.210675</td>\n",
+       "      <td>0.001104</td>\n",
        "      <td>11.75</td>\n",
        "      <td>1.90</td>\n",
        "      <td>0.23</td>\n",
@@ -1429,6 +1708,7 @@
        "      <td>Capital One Financial</td>\n",
        "      <td>Financials</td>\n",
        "      <td>2.034764</td>\n",
+       "      <td>0.116104</td>\n",
        "      <td>9.31</td>\n",
        "      <td>11.02</td>\n",
        "      <td>1.25</td>\n",
@@ -1441,6 +1721,7 @@
        "      <td>Goldman Sachs Group</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.828821</td>\n",
+       "      <td>0.099915</td>\n",
        "      <td>11.27</td>\n",
        "      <td>21.03</td>\n",
        "      <td>1.32</td>\n",
@@ -1453,6 +1734,7 @@
        "      <td>Raymond James Financial Inc.</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.281138</td>\n",
+       "      <td>0.155046</td>\n",
        "      <td>13.44</td>\n",
        "      <td>7.36</td>\n",
        "      <td>1.50</td>\n",
@@ -1465,6 +1747,7 @@
        "      <td>American Express Co</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.214408</td>\n",
+       "      <td>0.132252</td>\n",
        "      <td>17.01</td>\n",
        "      <td>7.99</td>\n",
        "      <td>0.99</td>\n",
@@ -1477,6 +1760,7 @@
        "      <td>Cincinnati Financial</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.121374</td>\n",
+       "      <td>0.199838</td>\n",
        "      <td>9.52</td>\n",
        "      <td>12.10</td>\n",
        "      <td>0.57</td>\n",
@@ -1489,6 +1773,7 @@
        "      <td>Aon plc</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.104319</td>\n",
+       "      <td>0.183167</td>\n",
        "      <td>37.00</td>\n",
        "      <td>6.37</td>\n",
        "      <td>0.83</td>\n",
@@ -1501,6 +1786,7 @@
        "      <td>Affiliated Managers Group Inc</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.097986</td>\n",
+       "      <td>-0.138798</td>\n",
        "      <td>267.18</td>\n",
        "      <td>0.31</td>\n",
        "      <td>1.69</td>\n",
@@ -1513,6 +1799,7 @@
        "      <td>Arthur J. Gallagher &amp; Co.</td>\n",
        "      <td>Financials</td>\n",
        "      <td>0.967112</td>\n",
+       "      <td>0.195583</td>\n",
        "      <td>31.03</td>\n",
        "      <td>3.52</td>\n",
        "      <td>0.76</td>\n",
@@ -1525,6 +1812,7 @@
        "      <td>Moody's Corp</td>\n",
        "      <td>Financials</td>\n",
        "      <td>0.927984</td>\n",
+       "      <td>0.234858</td>\n",
        "      <td>37.43</td>\n",
        "      <td>7.42</td>\n",
        "      <td>1.21</td>\n",
@@ -1536,34 +1824,34 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                           name      sector  sharpe ratio  P/E ratio  \\\n",
-       "82    SYF            Synchrony Financial  Financials      2.493336       6.07   \n",
-       "16    HRB                      Block H&R  Financials      2.210675      11.75   \n",
-       "21    COF          Capital One Financial  Financials      2.034764       9.31   \n",
-       "45     GS            Goldman Sachs Group  Financials      1.828821      11.27   \n",
-       "75    RJF   Raymond James Financial Inc.  Financials      1.281138      13.44   \n",
-       "8     AXP            American Express Co  Financials      1.214408      17.01   \n",
-       "24   CINF           Cincinnati Financial  Financials      1.121374       9.52   \n",
-       "11    AON                        Aon plc  Financials      1.104319      37.00   \n",
-       "3     AMG  Affiliated Managers Group Inc  Financials      1.097986     267.18   \n",
-       "13    AJG      Arthur J. Gallagher & Co.  Financials      0.967112      31.03   \n",
-       "62    MCO                   Moody's Corp  Financials      0.927984      37.43   \n",
+       "   ticker                           name      sector  sharpe ratio  \\\n",
+       "82    SYF            Synchrony Financial  Financials      2.493336   \n",
+       "16    HRB                      Block H&R  Financials      2.210675   \n",
+       "21    COF          Capital One Financial  Financials      2.034764   \n",
+       "45     GS            Goldman Sachs Group  Financials      1.828821   \n",
+       "75    RJF   Raymond James Financial Inc.  Financials      1.281138   \n",
+       "8     AXP            American Express Co  Financials      1.214408   \n",
+       "24   CINF           Cincinnati Financial  Financials      1.121374   \n",
+       "11    AON                        Aon plc  Financials      1.104319   \n",
+       "3     AMG  Affiliated Managers Group Inc  Financials      1.097986   \n",
+       "13    AJG      Arthur J. Gallagher & Co.  Financials      0.967112   \n",
+       "62    MCO                   Moody's Corp  Financials      0.927984   \n",
        "\n",
-       "      EPS  beta       mkt cap     shares  \n",
-       "82   5.56  1.21   20704848750  613477000  \n",
-       "16   1.90  0.23    4369605316  195246000  \n",
-       "21  11.02  1.25   46865423721  456600000  \n",
-       "45  21.03  1.32   83946946608  354087000  \n",
-       "75   7.36  1.50   13782151374  139284000  \n",
-       "8    7.99  0.99  111178449600  808041000  \n",
-       "24  12.10  0.57   18822318390  163374000  \n",
-       "11   6.37  0.83   54701475530  234137000  \n",
-       "3    0.31  1.69    4084648875   49272000  \n",
-       "13   3.52  0.76   20549043209  188247000  \n",
-       "62   7.42  1.21   52148688479  187700000  "
+       "    FFM returns  P/E ratio    EPS  beta       mkt cap     shares  \n",
+       "82     0.091836       6.07   5.56  1.21   20704848750  613477000  \n",
+       "16     0.001104      11.75   1.90  0.23    4369605316  195246000  \n",
+       "21     0.116104       9.31  11.02  1.25   46865423721  456600000  \n",
+       "45     0.099915      11.27  21.03  1.32   83946946608  354087000  \n",
+       "75     0.155046      13.44   7.36  1.50   13782151374  139284000  \n",
+       "8      0.132252      17.01   7.99  0.99  111178449600  808041000  \n",
+       "24     0.199838       9.52  12.10  0.57   18822318390  163374000  \n",
+       "11     0.183167      37.00   6.37  0.83   54701475530  234137000  \n",
+       "3     -0.138798     267.18   0.31  1.69    4084648875   49272000  \n",
+       "13     0.195583      31.03   3.52  0.76   20549043209  188247000  \n",
+       "62     0.234858      37.43   7.42  1.21   52148688479  187700000  "
       ]
      },
-     "execution_count": 42,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1576,7 +1864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -1604,6 +1892,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1618,6 +1907,7 @@
        "      <td>AmerisourceBergen Corp</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>2.824204</td>\n",
+       "      <td>0.018487</td>\n",
        "      <td>30.62</td>\n",
        "      <td>3.08</td>\n",
        "      <td>1.01</td>\n",
@@ -1630,6 +1920,7 @@
        "      <td>Bristol-Myers Squibb</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>2.688515</td>\n",
+       "      <td>0.083177</td>\n",
        "      <td>33.05</td>\n",
        "      <td>2.01</td>\n",
        "      <td>0.76</td>\n",
@@ -1642,6 +1933,7 @@
        "      <td>Hologic</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>2.425412</td>\n",
+       "      <td>0.129968</td>\n",
        "      <td>173.01</td>\n",
        "      <td>0.31</td>\n",
        "      <td>0.85</td>\n",
@@ -1654,6 +1946,7 @@
        "      <td>Medtronic plc</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.917921</td>\n",
+       "      <td>0.124213</td>\n",
        "      <td>33.97</td>\n",
        "      <td>3.45</td>\n",
        "      <td>0.60</td>\n",
@@ -1666,6 +1959,7 @@
        "      <td>Amgen Inc</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.861649</td>\n",
+       "      <td>0.151749</td>\n",
        "      <td>17.36</td>\n",
        "      <td>12.88</td>\n",
        "      <td>1.12</td>\n",
@@ -1678,6 +1972,7 @@
        "      <td>Merck &amp; Co.</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.368058</td>\n",
+       "      <td>0.147016</td>\n",
        "      <td>21.52</td>\n",
        "      <td>3.84</td>\n",
        "      <td>0.57</td>\n",
@@ -1690,6 +1985,7 @@
        "      <td>Incyte</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.268258</td>\n",
+       "      <td>0.076793</td>\n",
        "      <td>38.21</td>\n",
        "      <td>2.05</td>\n",
        "      <td>1.06</td>\n",
@@ -1702,6 +1998,7 @@
        "      <td>Mettler Toledo</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.969242</td>\n",
+       "      <td>0.232895</td>\n",
        "      <td>33.97</td>\n",
        "      <td>22.47</td>\n",
        "      <td>1.39</td>\n",
@@ -1714,6 +2011,7 @@
        "      <td>Thermo Fisher Scientific</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.957237</td>\n",
+       "      <td>0.223396</td>\n",
        "      <td>36.98</td>\n",
        "      <td>9.17</td>\n",
        "      <td>1.14</td>\n",
@@ -1726,6 +2024,7 @@
        "      <td>Boston Scientific</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.933787</td>\n",
+       "      <td>0.233861</td>\n",
        "      <td>12.70</td>\n",
        "      <td>3.33</td>\n",
        "      <td>0.87</td>\n",
@@ -1738,6 +2037,7 @@
        "      <td>Mylan N.V.</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.893280</td>\n",
+       "      <td>-0.130829</td>\n",
        "      <td>239.58</td>\n",
        "      <td>0.09</td>\n",
        "      <td>1.72</td>\n",
@@ -1750,6 +2050,7 @@
        "      <td>United Health Group Inc.</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.892893</td>\n",
+       "      <td>0.243094</td>\n",
        "      <td>20.86</td>\n",
        "      <td>14.33</td>\n",
        "      <td>0.69</td>\n",
@@ -1762,6 +2063,7 @@
        "      <td>ResMed</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.834963</td>\n",
+       "      <td>0.236317</td>\n",
        "      <td>56.31</td>\n",
        "      <td>3.14</td>\n",
        "      <td>0.48</td>\n",
@@ -1773,38 +2075,38 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                      name       sector  sharpe ratio  P/E ratio  \\\n",
-       "9     ABC    AmerisourceBergen Corp  Health Care      2.824204      30.62   \n",
-       "19    BMY      Bristol-Myers Squibb  Health Care      2.688515      33.05   \n",
-       "48   HOLX                   Hologic  Health Care      2.425412     173.01   \n",
-       "57    MDT             Medtronic plc  Health Care      1.917921      33.97   \n",
-       "10   AMGN                 Amgen Inc  Health Care      1.861649      17.36   \n",
-       "58    MRK               Merck & Co.  Health Care      1.368058      21.52   \n",
-       "51   INCY                    Incyte  Health Care      1.268258      38.21   \n",
-       "59    MTD            Mettler Toledo  Health Care      0.969242      33.97   \n",
-       "87    TMO  Thermo Fisher Scientific  Health Care      0.957237      36.98   \n",
-       "18    BSX         Boston Scientific  Health Care      0.933787      12.70   \n",
-       "64    MYL                Mylan N.V.  Health Care      0.893280     239.58   \n",
-       "88    UNH  United Health Group Inc.  Health Care      0.892893      20.86   \n",
-       "77    RMD                    ResMed  Health Care      0.834963      56.31   \n",
+       "   ticker                      name       sector  sharpe ratio  FFM returns  \\\n",
+       "9     ABC    AmerisourceBergen Corp  Health Care      2.824204     0.018487   \n",
+       "19    BMY      Bristol-Myers Squibb  Health Care      2.688515     0.083177   \n",
+       "48   HOLX                   Hologic  Health Care      2.425412     0.129968   \n",
+       "57    MDT             Medtronic plc  Health Care      1.917921     0.124213   \n",
+       "10   AMGN                 Amgen Inc  Health Care      1.861649     0.151749   \n",
+       "58    MRK               Merck & Co.  Health Care      1.368058     0.147016   \n",
+       "51   INCY                    Incyte  Health Care      1.268258     0.076793   \n",
+       "59    MTD            Mettler Toledo  Health Care      0.969242     0.232895   \n",
+       "87    TMO  Thermo Fisher Scientific  Health Care      0.957237     0.223396   \n",
+       "18    BSX         Boston Scientific  Health Care      0.933787     0.233861   \n",
+       "64    MYL                Mylan N.V.  Health Care      0.893280    -0.130829   \n",
+       "88    UNH  United Health Group Inc.  Health Care      0.892893     0.243094   \n",
+       "77    RMD                    ResMed  Health Care      0.834963     0.236317   \n",
        "\n",
-       "      EPS  beta       mkt cap      shares  \n",
-       "9    3.08  1.01   19427969245   205892000  \n",
-       "19   2.01  0.76  155607591281  2344185000  \n",
-       "48   0.31  0.85   13960272160   263302000  \n",
-       "57   3.45  0.60  157266553194  1340378000  \n",
-       "10  12.88  1.12  131810065840   589807000  \n",
-       "58   3.84  0.57  210425581484  2545984000  \n",
-       "51   2.05  1.06   17006076538   216776000  \n",
-       "59  22.47  1.39   18357249893    24053000  \n",
-       "87   9.17  1.14  136012138268   400991000  \n",
-       "18   3.33  0.87   58972695354  1393824000  \n",
-       "64   0.09  1.72   11303303743   516177000  \n",
-       "88  14.33  0.69  283068652543   947415000  \n",
-       "77   3.14  0.48   25539363082   144617000  "
+       "    P/E ratio    EPS  beta       mkt cap      shares  \n",
+       "9       30.62   3.08  1.01   19427969245   205892000  \n",
+       "19      33.05   2.01  0.76  155607591281  2344185000  \n",
+       "48     173.01   0.31  0.85   13960272160   263302000  \n",
+       "57      33.97   3.45  0.60  157266553194  1340378000  \n",
+       "10      17.36  12.88  1.12  131810065840   589807000  \n",
+       "58      21.52   3.84  0.57  210425581484  2545984000  \n",
+       "51      38.21   2.05  1.06   17006076538   216776000  \n",
+       "59      33.97  22.47  1.39   18357249893    24053000  \n",
+       "87      36.98   9.17  1.14  136012138268   400991000  \n",
+       "18      12.70   3.33  0.87   58972695354  1393824000  \n",
+       "64     239.58   0.09  1.72   11303303743   516177000  \n",
+       "88      20.86  14.33  0.69  283068652543   947415000  \n",
+       "77      56.31   3.14  0.48   25539363082   144617000  "
       ]
      },
-     "execution_count": 43,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1817,7 +2119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -1845,6 +2147,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1859,6 +2162,7 @@
        "      <td>Southwest Airlines</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.726576</td>\n",
+       "      <td>0.107833</td>\n",
        "      <td>13.77</td>\n",
        "      <td>4.21</td>\n",
        "      <td>1.47</td>\n",
@@ -1871,6 +2175,7 @@
        "      <td>Eaton Corporation</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.604766</td>\n",
+       "      <td>0.128998</td>\n",
        "      <td>19.71</td>\n",
        "      <td>5.25</td>\n",
        "      <td>1.42</td>\n",
@@ -1883,6 +2188,7 @@
        "      <td>FedEx Corporation</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.509820</td>\n",
+       "      <td>0.024254</td>\n",
        "      <td>583.74</td>\n",
        "      <td>0.27</td>\n",
        "      <td>1.71</td>\n",
@@ -1895,6 +2201,7 @@
        "      <td>Grainger (W.W.) Inc.</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.358110</td>\n",
+       "      <td>0.143754</td>\n",
        "      <td>17.94</td>\n",
        "      <td>17.15</td>\n",
        "      <td>0.97</td>\n",
@@ -1907,6 +2214,7 @@
        "      <td>Raytheon Co.</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.158338</td>\n",
+       "      <td>0.194796</td>\n",
        "      <td>19.05</td>\n",
        "      <td>11.93</td>\n",
        "      <td>0.85</td>\n",
@@ -1919,6 +2227,7 @@
        "      <td>Huntington Ingalls Industries</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.154338</td>\n",
+       "      <td>0.172310</td>\n",
        "      <td>18.57</td>\n",
        "      <td>13.26</td>\n",
        "      <td>1.24</td>\n",
@@ -1931,6 +2240,7 @@
        "      <td>Cintas Corporation</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>0.703186</td>\n",
+       "      <td>0.285973</td>\n",
        "      <td>35.38</td>\n",
        "      <td>8.51</td>\n",
        "      <td>0.99</td>\n",
@@ -1951,17 +2261,17 @@
        "50    HII  Huntington Ingalls Industries  Industrials      1.154338   \n",
        "25   CTAS             Cintas Corporation  Industrials      0.703186   \n",
        "\n",
-       "    P/E ratio    EPS  beta      mkt cap     shares  \n",
-       "80      13.77   4.21  1.47  29987649751  517296000  \n",
-       "31      19.71   5.25  1.42  42807571261  413400000  \n",
-       "36     583.74   0.27  1.71  41418694505  261119000  \n",
-       "46      17.94  17.15  0.97  16517112872   53688000  \n",
-       "76      19.05  11.93  0.85  63256224340  278441000  \n",
-       "50      18.57  13.26  1.24  10035519873   40760000  \n",
-       "25      35.38   8.51  0.99  31216601386  103751000  "
+       "    FFM returns  P/E ratio    EPS  beta      mkt cap     shares  \n",
+       "80     0.107833      13.77   4.21  1.47  29987649751  517296000  \n",
+       "31     0.128998      19.71   5.25  1.42  42807571261  413400000  \n",
+       "36     0.024254     583.74   0.27  1.71  41418694505  261119000  \n",
+       "46     0.143754      17.94  17.15  0.97  16517112872   53688000  \n",
+       "76     0.194796      19.05  11.93  0.85  63256224340  278441000  \n",
+       "50     0.172310      18.57  13.26  1.24  10035519873   40760000  \n",
+       "25     0.285973      35.38   8.51  0.99  31216601386  103751000  "
       ]
      },
-     "execution_count": 44,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1974,7 +2284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -2002,6 +2312,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2016,6 +2327,7 @@
        "      <td>Oracle Corp.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.949619</td>\n",
+       "      <td>0.077350</td>\n",
        "      <td>17.61</td>\n",
        "      <td>3.15</td>\n",
        "      <td>1.11</td>\n",
@@ -2028,6 +2340,7 @@
        "      <td>F5 Networks</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.701382</td>\n",
+       "      <td>0.064989</td>\n",
        "      <td>19.49</td>\n",
        "      <td>6.54</td>\n",
        "      <td>0.98</td>\n",
@@ -2040,6 +2353,7 @@
        "      <td>Gartner Inc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.337328</td>\n",
+       "      <td>0.165214</td>\n",
        "      <td>59.34</td>\n",
        "      <td>2.57</td>\n",
        "      <td>1.21</td>\n",
@@ -2052,6 +2366,7 @@
        "      <td>Alphabet Inc Class A</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.198026</td>\n",
+       "      <td>0.214640</td>\n",
        "      <td>30.89</td>\n",
        "      <td>49.16</td>\n",
        "      <td>1.02</td>\n",
@@ -2064,6 +2379,7 @@
        "      <td>Accenture plc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.113858</td>\n",
+       "      <td>0.225818</td>\n",
        "      <td>28.34</td>\n",
        "      <td>7.49</td>\n",
        "      <td>1.03</td>\n",
@@ -2076,6 +2392,7 @@
        "      <td>Facebook, Inc.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.105767</td>\n",
+       "      <td>0.238789</td>\n",
        "      <td>33.32</td>\n",
        "      <td>6.43</td>\n",
        "      <td>1.05</td>\n",
@@ -2088,6 +2405,7 @@
        "      <td>Automatic Data Processing</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.004579</td>\n",
+       "      <td>0.183269</td>\n",
        "      <td>32.04</td>\n",
        "      <td>5.66</td>\n",
        "      <td>0.87</td>\n",
@@ -2100,6 +2418,7 @@
        "      <td>Fiserv Inc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.948895</td>\n",
+       "      <td>0.249903</td>\n",
        "      <td>71.58</td>\n",
        "      <td>1.71</td>\n",
        "      <td>0.80</td>\n",
@@ -2112,6 +2431,7 @@
        "      <td>Apple Inc.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.919063</td>\n",
+       "      <td>0.236049</td>\n",
        "      <td>25.66</td>\n",
        "      <td>12.66</td>\n",
        "      <td>1.29</td>\n",
@@ -2124,6 +2444,7 @@
        "      <td>Texas Instruments</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.886247</td>\n",
+       "      <td>0.224912</td>\n",
        "      <td>25.24</td>\n",
        "      <td>5.24</td>\n",
        "      <td>1.24</td>\n",
@@ -2136,6 +2457,7 @@
        "      <td>Salesforce.com</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.885841</td>\n",
+       "      <td>0.207470</td>\n",
        "      <td>200.68</td>\n",
        "      <td>0.95</td>\n",
        "      <td>1.19</td>\n",
@@ -2148,6 +2470,7 @@
        "      <td>Synopsys Inc.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.801366</td>\n",
+       "      <td>0.258979</td>\n",
        "      <td>47.31</td>\n",
        "      <td>3.45</td>\n",
        "      <td>1.18</td>\n",
@@ -2160,6 +2483,7 @@
        "      <td>Motorola Solutions Inc.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.785703</td>\n",
+       "      <td>0.231468</td>\n",
        "      <td>37.31</td>\n",
        "      <td>4.94</td>\n",
        "      <td>0.50</td>\n",
@@ -2172,6 +2496,7 @@
        "      <td>Microsoft Corp.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.688151</td>\n",
+       "      <td>0.322501</td>\n",
        "      <td>32.28</td>\n",
        "      <td>5.74</td>\n",
        "      <td>1.15</td>\n",
@@ -2184,6 +2509,7 @@
        "      <td>Adobe Systems Inc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.616060</td>\n",
+       "      <td>0.329761</td>\n",
        "      <td>63.17</td>\n",
        "      <td>6.01</td>\n",
        "      <td>1.09</td>\n",
@@ -2212,25 +2538,25 @@
        "60   MSFT            Microsoft Corp.  Information Technology      0.688151   \n",
        "1    ADBE          Adobe Systems Inc  Information Technology      0.616060   \n",
        "\n",
-       "    P/E ratio    EPS  beta        mkt cap      shares  \n",
-       "70      17.61   3.15  1.11   177928293945  3207649000  \n",
-       "34      19.49   6.54  0.98     7753118169    60804000  \n",
-       "41      59.34   2.57  1.21    13633532057    89453000  \n",
-       "7       30.89  49.16  1.02  1044236513876   299895000  \n",
-       "0       28.34   7.49  1.03   139515576338   656946000  \n",
-       "35      33.32   6.43  1.05   610509360122  2405746000  \n",
-       "14      32.04   5.66  0.87    78255412500   431754000  \n",
-       "38      71.58   1.71  0.80    83164756192   679895000  \n",
-       "12      25.66  12.66  1.29  1421812279411  4375480000  \n",
-       "85      25.24   5.24  1.24   123223956977   932032000  \n",
-       "79     200.68   0.95  1.19   168485647293   887000000  \n",
-       "83      47.31   3.45  1.18    24589893168   150535000  \n",
-       "63      37.31   4.94  0.50    31596072387   171336000  \n",
-       "60      32.28   5.74  1.15  1409780857873  7606047000  \n",
-       "1       63.17   6.01  1.09   185174936969   487726000  "
+       "    FFM returns  P/E ratio    EPS  beta        mkt cap      shares  \n",
+       "70     0.077350      17.61   3.15  1.11   177928293945  3207649000  \n",
+       "34     0.064989      19.49   6.54  0.98     7753118169    60804000  \n",
+       "41     0.165214      59.34   2.57  1.21    13633532057    89453000  \n",
+       "7      0.214640      30.89  49.16  1.02  1044236513876   299895000  \n",
+       "0      0.225818      28.34   7.49  1.03   139515576338   656946000  \n",
+       "35     0.238789      33.32   6.43  1.05   610509360122  2405746000  \n",
+       "14     0.183269      32.04   5.66  0.87    78255412500   431754000  \n",
+       "38     0.249903      71.58   1.71  0.80    83164756192   679895000  \n",
+       "12     0.236049      25.66  12.66  1.29  1421812279411  4375480000  \n",
+       "85     0.224912      25.24   5.24  1.24   123223956977   932032000  \n",
+       "79     0.207470     200.68   0.95  1.19   168485647293   887000000  \n",
+       "83     0.258979      47.31   3.45  1.18    24589893168   150535000  \n",
+       "63     0.231468      37.31   4.94  0.50    31596072387   171336000  \n",
+       "60     0.322501      32.28   5.74  1.15  1409780857873  7606047000  \n",
+       "1      0.329761      63.17   6.01  1.09   185174936969   487726000  "
       ]
      },
-     "execution_count": 45,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2243,7 +2569,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -2271,6 +2597,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2285,6 +2612,7 @@
        "      <td>LyondellBasell</td>\n",
        "      <td>Materials</td>\n",
        "      <td>2.072393</td>\n",
+       "      <td>0.103512</td>\n",
        "      <td>8.65</td>\n",
        "      <td>9.55</td>\n",
        "      <td>1.45</td>\n",
@@ -2297,6 +2625,7 @@
        "      <td>Newmont Mining Corporation</td>\n",
        "      <td>Materials</td>\n",
        "      <td>1.248661</td>\n",
+       "      <td>0.189686</td>\n",
        "      <td>15.83</td>\n",
        "      <td>2.78</td>\n",
        "      <td>0.16</td>\n",
@@ -2309,6 +2638,7 @@
        "      <td>Air Products &amp; Chemicals Inc</td>\n",
        "      <td>Materials</td>\n",
        "      <td>1.224824</td>\n",
+       "      <td>0.153161</td>\n",
        "      <td>30.09</td>\n",
        "      <td>8.51</td>\n",
        "      <td>0.86</td>\n",
@@ -2321,6 +2651,7 @@
        "      <td>Freeport-McMoRan Inc.</td>\n",
        "      <td>Materials</td>\n",
        "      <td>1.031316</td>\n",
+       "      <td>0.038646</td>\n",
        "      <td>78.35</td>\n",
        "      <td>0.16</td>\n",
        "      <td>2.42</td>\n",
@@ -2333,6 +2664,7 @@
        "      <td>Albemarle Corp</td>\n",
        "      <td>Materials</td>\n",
        "      <td>0.990292</td>\n",
+       "      <td>0.132207</td>\n",
        "      <td>16.67</td>\n",
        "      <td>5.38</td>\n",
        "      <td>1.57</td>\n",
@@ -2345,6 +2677,7 @@
        "      <td>FMC Corporation</td>\n",
        "      <td>Materials</td>\n",
        "      <td>0.889526</td>\n",
+       "      <td>0.193867</td>\n",
        "      <td>27.41</td>\n",
        "      <td>3.85</td>\n",
        "      <td>1.54</td>\n",
@@ -2356,24 +2689,24 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                          name     sector  sharpe ratio  P/E ratio  \\\n",
-       "55    LYB                LyondellBasell  Materials      2.072393       8.65   \n",
-       "65    NEM    Newmont Mining Corporation  Materials      1.248661      15.83   \n",
-       "4     APD  Air Products & Chemicals Inc  Materials      1.224824      30.09   \n",
-       "40    FCX         Freeport-McMoRan Inc.  Materials      1.031316      78.35   \n",
-       "5     ALB                Albemarle Corp  Materials      0.990292      16.67   \n",
-       "39    FMC               FMC Corporation  Materials      0.889526      27.41   \n",
+       "   ticker                          name     sector  sharpe ratio  FFM returns  \\\n",
+       "55    LYB                LyondellBasell  Materials      2.072393     0.103512   \n",
+       "65    NEM    Newmont Mining Corporation  Materials      1.248661     0.189686   \n",
+       "4     APD  Air Products & Chemicals Inc  Materials      1.224824     0.153161   \n",
+       "40    FCX         Freeport-McMoRan Inc.  Materials      1.031316     0.038646   \n",
+       "5     ALB                Albemarle Corp  Materials      0.990292     0.132207   \n",
+       "39    FMC               FMC Corporation  Materials      0.889526     0.193867   \n",
        "\n",
-       "     EPS  beta      mkt cap      shares  \n",
-       "55  9.55  1.45  27505799491   333000000  \n",
-       "65  2.78  0.16  36130286851   819839000  \n",
-       "4   8.51  0.86  56495776935   220678000  \n",
-       "40  0.16  2.42  17759187027  1450914000  \n",
-       "5   5.38  1.57   9504798055   106033000  \n",
-       "39  3.85  1.54  13670494208   129615000  "
+       "    P/E ratio   EPS  beta      mkt cap      shares  \n",
+       "55       8.65  9.55  1.45  27505799491   333000000  \n",
+       "65      15.83  2.78  0.16  36130286851   819839000  \n",
+       "4       30.09  8.51  0.86  56495776935   220678000  \n",
+       "40      78.35  0.16  2.42  17759187027  1450914000  \n",
+       "5       16.67  5.38  1.57   9504798055   106033000  \n",
+       "39      27.41  3.85  1.54  13670494208   129615000  "
       ]
      },
-     "execution_count": 46,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2386,7 +2719,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -2414,6 +2747,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2428,6 +2762,7 @@
        "      <td>Host Hotels &amp; Resorts</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>2.308137</td>\n",
+       "      <td>0.052833</td>\n",
        "      <td>10.89</td>\n",
        "      <td>1.55</td>\n",
        "      <td>1.17</td>\n",
@@ -2440,6 +2775,7 @@
        "      <td>Iron Mountain Incorporated</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>2.233518</td>\n",
+       "      <td>0.073061</td>\n",
        "      <td>35.67</td>\n",
        "      <td>0.93</td>\n",
        "      <td>0.53</td>\n",
@@ -2452,6 +2788,7 @@
        "      <td>Equity Residential</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>2.158996</td>\n",
+       "      <td>0.089495</td>\n",
        "      <td>34.53</td>\n",
        "      <td>2.50</td>\n",
        "      <td>0.45</td>\n",
@@ -2464,6 +2801,7 @@
        "      <td>Crown Castle International Corp.</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>1.281977</td>\n",
+       "      <td>0.163975</td>\n",
        "      <td>83.64</td>\n",
        "      <td>1.98</td>\n",
        "      <td>0.30</td>\n",
@@ -2481,14 +2819,14 @@
        "32    EQR                Equity Residential  Real Estate      2.158996   \n",
        "28    CCI  Crown Castle International Corp.  Real Estate      1.281977   \n",
        "\n",
-       "    P/E ratio   EPS  beta      mkt cap     shares  \n",
-       "49      10.89  1.55  1.17  12127479870  717178000  \n",
-       "52      35.67  0.93  0.53   9521121824  287300000  \n",
-       "32      34.53  2.50  0.45  32134657027  371671000  \n",
-       "28      83.64  1.98  0.30  69005081855  415768000  "
+       "    FFM returns  P/E ratio   EPS  beta      mkt cap     shares  \n",
+       "49     0.052833      10.89  1.55  1.17  12127479870  717178000  \n",
+       "52     0.073061      35.67  0.93  0.53   9521121824  287300000  \n",
+       "32     0.089495      34.53  2.50  0.45  32134657027  371671000  \n",
+       "28     0.163975      83.64  1.98  0.30  69005081855  415768000  "
       ]
      },
-     "execution_count": 51,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2501,7 +2839,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -2529,6 +2867,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2543,6 +2882,7 @@
        "      <td>PPL Corp.</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>2.755488</td>\n",
+       "      <td>0.098239</td>\n",
        "      <td>14.38</td>\n",
        "      <td>2.46</td>\n",
        "      <td>0.51</td>\n",
@@ -2555,6 +2895,7 @@
        "      <td>FirstEnergy Corp</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.510567</td>\n",
+       "      <td>0.129910</td>\n",
        "      <td>31.45</td>\n",
        "      <td>1.66</td>\n",
        "      <td>0.20</td>\n",
@@ -2567,6 +2908,7 @@
        "      <td>Alliant Energy Corp</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.366718</td>\n",
+       "      <td>0.166244</td>\n",
        "      <td>26.79</td>\n",
        "      <td>2.23</td>\n",
        "      <td>0.23</td>\n",
@@ -2579,6 +2921,7 @@
        "      <td>CenterPoint Energy</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.361230</td>\n",
+       "      <td>0.121502</td>\n",
        "      <td>21.58</td>\n",
        "      <td>1.26</td>\n",
        "      <td>0.44</td>\n",
@@ -2591,6 +2934,7 @@
        "      <td>AES Corp</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.182641</td>\n",
+       "      <td>0.162654</td>\n",
        "      <td>27.44</td>\n",
        "      <td>0.76</td>\n",
        "      <td>1.05</td>\n",
@@ -2603,6 +2947,7 @@
        "      <td>NextEra Energy</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>0.928683</td>\n",
+       "      <td>0.227986</td>\n",
        "      <td>34.73</td>\n",
        "      <td>8.02</td>\n",
        "      <td>0.15</td>\n",
@@ -2615,6 +2960,7 @@
        "      <td>NRG Energy</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>0.692217</td>\n",
+       "      <td>0.208670</td>\n",
        "      <td>10.31</td>\n",
        "      <td>3.89</td>\n",
        "      <td>0.71</td>\n",
@@ -2626,26 +2972,26 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                 name     sector  sharpe ratio  P/E ratio   EPS  \\\n",
-       "73    PPL            PPL Corp.  Utilities      2.755488      14.38  2.46   \n",
-       "37     FE     FirstEnergy Corp  Utilities      1.510567      31.45  1.66   \n",
-       "6     LNT  Alliant Energy Corp  Utilities      1.366718      26.79  2.23   \n",
-       "23    CNP   CenterPoint Energy  Utilities      1.361230      21.58  1.26   \n",
-       "2     AES             AES Corp  Utilities      1.182641      27.44  0.76   \n",
-       "66    NEE       NextEra Energy  Utilities      0.928683      34.73  8.02   \n",
-       "67    NRG           NRG Energy  Utilities      0.692217      10.31  3.89   \n",
+       "   ticker                 name     sector  sharpe ratio  FFM returns  \\\n",
+       "73    PPL            PPL Corp.  Utilities      2.755488     0.098239   \n",
+       "37     FE     FirstEnergy Corp  Utilities      1.510567     0.129910   \n",
+       "6     LNT  Alliant Energy Corp  Utilities      1.366718     0.166244   \n",
+       "23    CNP   CenterPoint Energy  Utilities      1.361230     0.121502   \n",
+       "2     AES             AES Corp  Utilities      1.182641     0.162654   \n",
+       "66    NEE       NextEra Energy  Utilities      0.928683     0.227986   \n",
+       "67    NRG           NRG Energy  Utilities      0.692217     0.208670   \n",
        "\n",
-       "    beta       mkt cap     shares  \n",
-       "73  0.51   25573676437  723033000  \n",
-       "37  0.20   28241486749  540714000  \n",
-       "6   0.23   14358652779  244628000  \n",
-       "23  0.44   13650929559  502242000  \n",
-       "2   1.05   13895280692  663893000  \n",
-       "66  0.15  136133886150  488776000  \n",
-       "67  0.71   10078855985  251594000  "
+       "    P/E ratio   EPS  beta       mkt cap     shares  \n",
+       "73      14.38  2.46  0.51   25573676437  723033000  \n",
+       "37      31.45  1.66  0.20   28241486749  540714000  \n",
+       "6       26.79  2.23  0.23   14358652779  244628000  \n",
+       "23      21.58  1.26  0.44   13650929559  502242000  \n",
+       "2       27.44  0.76  1.05   13895280692  663893000  \n",
+       "66      34.73  8.02  0.15  136133886150  488776000  \n",
+       "67      10.31  3.89  0.71   10078855985  251594000  "
       ]
      },
-     "execution_count": 52,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2658,7 +3004,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -2686,6 +3032,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2700,6 +3047,7 @@
        "      <td>Genuine Parts</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.924464</td>\n",
+       "      <td>0.074228</td>\n",
        "      <td>17.71</td>\n",
        "      <td>5.45</td>\n",
        "      <td>0.89</td>\n",
@@ -2712,6 +3060,7 @@
        "      <td>General Mills</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.641281</td>\n",
+       "      <td>0.063147</td>\n",
        "      <td>15.34</td>\n",
        "      <td>3.48</td>\n",
        "      <td>0.73</td>\n",
@@ -2724,6 +3073,7 @@
        "      <td>Cabot Oil &amp; Gas</td>\n",
        "      <td>Energy</td>\n",
        "      <td>1.952983</td>\n",
+       "      <td>-0.050017</td>\n",
        "      <td>7.80</td>\n",
        "      <td>1.90</td>\n",
        "      <td>0.47</td>\n",
@@ -2736,6 +3086,7 @@
        "      <td>Synchrony Financial</td>\n",
        "      <td>Financials</td>\n",
        "      <td>2.493336</td>\n",
+       "      <td>0.091836</td>\n",
        "      <td>6.07</td>\n",
        "      <td>5.56</td>\n",
        "      <td>1.21</td>\n",
@@ -2748,6 +3099,7 @@
        "      <td>Amgen Inc</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.861649</td>\n",
+       "      <td>0.151749</td>\n",
        "      <td>17.36</td>\n",
        "      <td>12.88</td>\n",
        "      <td>1.12</td>\n",
@@ -2760,6 +3112,7 @@
        "      <td>Southwest Airlines</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.726576</td>\n",
+       "      <td>0.107833</td>\n",
        "      <td>13.77</td>\n",
        "      <td>4.21</td>\n",
        "      <td>1.47</td>\n",
@@ -2772,6 +3125,7 @@
        "      <td>Alphabet Inc Class A</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.198026</td>\n",
+       "      <td>0.214640</td>\n",
        "      <td>30.89</td>\n",
        "      <td>49.16</td>\n",
        "      <td>1.02</td>\n",
@@ -2784,6 +3138,7 @@
        "      <td>LyondellBasell</td>\n",
        "      <td>Materials</td>\n",
        "      <td>2.072393</td>\n",
+       "      <td>0.103512</td>\n",
        "      <td>8.65</td>\n",
        "      <td>9.55</td>\n",
        "      <td>1.45</td>\n",
@@ -2796,6 +3151,7 @@
        "      <td>Host Hotels &amp; Resorts</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>2.308137</td>\n",
+       "      <td>0.052833</td>\n",
        "      <td>10.89</td>\n",
        "      <td>1.55</td>\n",
        "      <td>1.17</td>\n",
@@ -2808,6 +3164,7 @@
        "      <td>PPL Corp.</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>2.755488</td>\n",
+       "      <td>0.098239</td>\n",
        "      <td>14.38</td>\n",
        "      <td>2.46</td>\n",
        "      <td>0.51</td>\n",
@@ -2831,20 +3188,20 @@
        "8    HST  Host Hotels & Resorts             Real Estate      2.308137   \n",
        "9    PPL              PPL Corp.               Utilities      2.755488   \n",
        "\n",
-       "   P/E ratio    EPS  beta        mkt cap     shares  \n",
-       "0      17.71   5.45  0.89    14016415887  145293000  \n",
-       "1      15.34   3.48  0.73    32242795100  604817000  \n",
-       "2       7.80   1.90  0.47     6037284157  407925000  \n",
-       "3       6.07   5.56  1.21    20704848750  613477000  \n",
-       "4      17.36  12.88  1.12   131810065840  589807000  \n",
-       "5      13.77   4.21  1.47    29987649751  517296000  \n",
-       "6      30.89  49.16  1.02  1044236513876  299895000  \n",
-       "7       8.65   9.55  1.45    27505799491  333000000  \n",
-       "8      10.89   1.55  1.17    12127479870  717178000  \n",
-       "9      14.38   2.46  0.51    25573676437  723033000  "
+       "   FFM returns  P/E ratio    EPS  beta        mkt cap     shares  \n",
+       "0     0.074228      17.71   5.45  0.89    14016415887  145293000  \n",
+       "1     0.063147      15.34   3.48  0.73    32242795100  604817000  \n",
+       "2    -0.050017       7.80   1.90  0.47     6037284157  407925000  \n",
+       "3     0.091836       6.07   5.56  1.21    20704848750  613477000  \n",
+       "4     0.151749      17.36  12.88  1.12   131810065840  589807000  \n",
+       "5     0.107833      13.77   4.21  1.47    29987649751  517296000  \n",
+       "6     0.214640      30.89  49.16  1.02  1044236513876  299895000  \n",
+       "7     0.103512       8.65   9.55  1.45    27505799491  333000000  \n",
+       "8     0.052833      10.89   1.55  1.17    12127479870  717178000  \n",
+       "9     0.098239      14.38   2.46  0.51    25573676437  723033000  "
       ]
      },
-     "execution_count": 66,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/.ipynb_checkpoints/selection_data-checkpoint.csv b/.ipynb_checkpoints/selection_data-checkpoint.csv
deleted file mode 100644
index 1ca7832..0000000
--- a/.ipynb_checkpoints/selection_data-checkpoint.csv
+++ /dev/null
@@ -1,93 +0,0 @@
-ticker,name,sector,sharpe ratio,P/E ratio,EPS,beta,mkt cap,shares
-ACN,Accenture plc,Information Technology,1.113857669340631,28.34,7.49,1.03,139515576338,656946000
-ADBE,Adobe Systems Inc,Information Technology,0.6160597494509739,63.17,6.01,1.09,185174936969,487726000
-AES,AES Corp,Utilities,1.1826406099615412,27.44,0.76,1.05,13895280692,663893000
-AMG,Affiliated Managers Group Inc,Financials,1.0979859640832188,267.18,0.31,1.69,4084648875,49272000
-APD,Air Products & Chemicals Inc,Materials,1.2248244816385878,30.09,8.51,0.86,56495776935,220678000
-ALB,Albemarle Corp,Materials,0.9902917360691272,16.67,5.38,1.57,9504798055,106033000
-LNT,Alliant Energy Corp,Utilities,1.366717870072912,26.79,2.23,0.23,14358652779,244628000
-GOOGL,Alphabet Inc Class A,Information Technology,1.1980263475215909,30.89,49.16,1.02,1044236513876,299895000
-AXP,American Express Co,Financials,1.2144084830799449,17.01,7.99,0.99,111178449600,808041000
-ABC,AmerisourceBergen Corp,Health Care,2.824204459596733,30.62,3.08,1.01,19427969245,205892000
-AMGN,Amgen Inc,Health Care,1.8616491950461436,17.36,12.88,1.12,131810065840,589807000
-AON,Aon plc,Financials,1.1043185924986845,37.0,6.37,0.83,54701475530,234137000
-AAPL,Apple Inc.,Information Technology,0.9190627984536254,25.66,12.66,1.29,1421812279411,4375480000
-AJG,Arthur J. Gallagher & Co.,Financials,0.9671115946025484,31.03,3.52,0.76,20549043209,188247000
-ADP,Automatic Data Processing,Information Technology,1.0045789926171458,32.04,5.66,0.87,78255412500,431754000
-BBY,Best Buy Co. Inc.,Consumer Discretionary,0.8239151677600225,15.98,5.64,1.12,23344272933,258777000
-HRB,Block H&R,Financials,2.2106749521427664,11.75,1.9,0.23,4369605316,195246000
-BWA,BorgWarner,Consumer Discretionary,1.6822710938226986,9.2,3.71,1.91,7048901814,206410000
-BSX,Boston Scientific,Health Care,0.933786790381214,12.7,3.33,0.87,58972695354,1393824000
-BMY,Bristol-Myers Squibb,Health Care,2.6885152748619983,33.05,2.01,0.76,155607591281,2344185000
-COG,Cabot Oil & Gas,Energy,1.9529827367707384,7.8,1.9,0.47,6037284157,407925000
-COF,Capital One Financial,Financials,2.0347637955056546,9.31,11.02,1.25,46865423721,456600000
-KMX,Carmax Inc,Consumer Discretionary,1.703158159266752,19.16,5.16,1.1,16144071451,163385000
-CNP,CenterPoint Energy,Utilities,1.3612303069648497,21.58,1.26,0.44,13650929559,502242000
-CINF,Cincinnati Financial,Financials,1.121373755776759,9.52,12.1,0.57,18822318390,163374000
-CTAS,Cintas Corporation,Industrials,0.7031855337517299,35.38,8.51,0.99,31216601386,103751000
-KO,Coca-Cola Company (The),Consumer Staples,2.1971578395739524,28.99,2.07,0.41,256586003265,4280000000
-COST,Costco Wholesale Corp.,Consumer Staples,1.0606439166888946,37.75,8.43,0.9,140615987901,441758000
-CCI,Crown Castle International Corp.,Real Estate,1.28197687434905,83.64,1.98,0.3,69005081855,415768000
-CVS,CVS Health,Consumer Staples,1.7079627340498365,14.05,5.08,0.93,92849804253,1300964000
-DISCK,Discovery Communications-C,Consumer Discretionary,2.3096592718590108,11.1,2.59,1.45,15392873644,360664000
-ETN,Eaton Corporation,Industrials,1.6047656571399305,19.71,5.25,1.42,42807571261,413400000
-EQR,Equity Residential,Real Estate,2.1589960066234664,34.53,2.5,0.45,32134657027,371671000
-EXPE,Expedia Inc.,Consumer Discretionary,2.407311381193101,32.58,3.77,1.01,17792025802,139363000
-FFIV,F5 Networks,Information Technology,1.7013819459588144,19.49,6.54,0.98,7753118169,60804000
-FB,"Facebook, Inc.",Information Technology,1.1057666021536463,33.32,6.43,1.05,610509360122,2405746000
-FDX,FedEx Corporation,Industrials,1.5098202059987225,583.74,0.27,1.71,41418694505,261119000
-FE,FirstEnergy Corp,Utilities,1.510567029063732,31.45,1.66,0.2,28241486749,540714000
-FISV,Fiserv Inc,Information Technology,0.9488954080578804,71.58,1.71,0.8,83164756192,679895000
-FMC,FMC Corporation,Materials,0.8895256452785432,27.41,3.85,1.54,13670494208,129615000
-FCX,Freeport-McMoRan Inc.,Materials,1.0313162803944909,78.35,0.16,2.42,17759187027,1450914000
-IT,Gartner Inc,Information Technology,1.3373284476702674,59.34,2.57,1.21,13633532057,89453000
-GIS,General Mills,Consumer Staples,2.6412807761987938,15.34,3.48,0.73,32242795100,604817000
-GM,General Motors,Consumer Discretionary,1.9037211165069965,7.6,4.57,1.38,49672072361,1429002000
-GPC,Genuine Parts,Consumer Discretionary,2.9244641954801547,17.71,5.45,0.89,14016415887,145293000
-GS,Goldman Sachs Group,Financials,1.8288212830340496,11.27,21.03,1.32,83946946608,354087000
-GWW,Grainger (W.W.) Inc.,Industrials,1.3581101466189422,17.94,17.15,0.97,16517112872,53688000
-HLT,Hilton Worldwide Holdings Inc,Consumer Discretionary,1.0598993481607704,37.27,3.04,1.14,31415437971,277448000
-HOLX,Hologic,Health Care,2.425411589403344,173.01,0.31,0.85,13960272160,263302000
-HST,Host Hotels & Resorts,Real Estate,2.308137021714921,10.89,1.55,1.17,12127479870,717178000
-HII,Huntington Ingalls Industries,Industrials,1.1543380976790991,18.57,13.26,1.24,10035519873,40760000
-INCY,Incyte,Health Care,1.2682583277151145,38.21,2.05,1.06,17006076538,216776000
-IRM,Iron Mountain Incorporated,Real Estate,2.2335183274879347,35.67,0.93,0.53,9521121824,287300000
-KMI,Kinder Morgan,Energy,1.0384695673083184,22.87,0.96,0.81,49831386000,2265063000
-LKQ,LKQ Corporation,Consumer Discretionary,2.216065603315,23.73,1.4,1.3,10174538633,306462000
-LYB,LyondellBasell,Materials,2.072392824468477,8.65,9.55,1.45,27505799491,333000000
-M,Macy's Inc.,Consumer Discretionary,0.8264829931760201,5.39,3.09,0.66,5150446573,308965000
-MDT,Medtronic plc,Health Care,1.9179209088058464,33.97,3.45,0.6,157266553194,1340378000
-MRK,Merck & Co.,Health Care,1.3680581566358117,21.52,3.84,0.57,210425581484,2545984000
-MTD,Mettler Toledo,Health Care,0.9692418639176908,33.97,22.47,1.39,18357249893,24053000
-MSFT,Microsoft Corp.,Information Technology,0.6881506526553905,32.28,5.74,1.15,1409780857873,7606047000
-MHK,Mohawk Industries,Consumer Discretionary,1.2551682079723412,13.4,10.3,1.36,9882403253,71622000
-MCO,Moody's Corp,Financials,0.927983578033472,37.43,7.42,1.21,52148688479,187700000
-MSI,Motorola Solutions Inc.,Information Technology,0.7857028051967873,37.31,4.94,0.5,31596072387,171336000
-MYL,Mylan N.V.,Health Care,0.8932799452587622,239.58,0.09,1.72,11303303743,516177000
-NEM,Newmont Mining Corporation,Materials,1.2486611843780435,15.83,2.78,0.16,36130286851,819839000
-NEE,NextEra Energy,Utilities,0.9286832114176752,34.73,8.02,0.15,136133886150,488776000
-NRG,NRG Energy,Utilities,0.6922170062921974,10.31,3.89,0.71,10078855985,251594000
-OXY,Occidental Petroleum,Energy,2.054770999686784,29.53,1.41,0.9,37161985836,893317000
-OKE,ONEOK,Energy,0.9173258155980414,25.56,3.01,1.11,31799253894,413085000
-ORCL,Oracle Corp.,Information Technology,1.9496194449404018,17.61,3.15,1.11,177928293945,3207649000
-PEP,PepsiCo Inc.,Consumer Staples,1.9512497779197016,28.31,5.19,0.53,204968008309,1389545000
-RL,Polo Ralph Lauren Corp.,Consumer Discretionary,1.6850277667707554,14.16,8.61,0.9,8984857815,48862000
-PPL,PPL Corp.,Utilities,2.7554877393877537,14.38,2.46,0.51,25573676437,723033000
-PHM,Pulte Homes Inc.,Consumer Discretionary,1.1252252514376082,12.77,3.66,0.56,12605132379,269975000
-RJF,Raymond James Financial Inc.,Financials,1.2811378025870532,13.44,7.36,1.5,13782151374,139284000
-RTN,Raytheon Co.,Industrials,1.158337993905323,19.05,11.93,0.85,63256224340,278441000
-RMD,ResMed,Health Care,0.834963320137938,56.31,3.14,0.48,25539363082,144617000
-RCL,Royal Caribbean Cruises Ltd,Consumer Discretionary,1.3470625587214564,12.55,9.02,1.44,23627921924,208801000
-CRM,Salesforce.com,Information Technology,0.8858414532311987,200.68,0.95,1.19,168485647293,887000000
-LUV,Southwest Airlines,Industrials,1.7265757683369565,13.77,4.21,1.47,29987649751,517296000
-SBUX,Starbucks Corp.,Consumer Discretionary,1.3884881607519866,29.15,3.06,0.56,104787934567,1173700000
-SYF,Synchrony Financial,Financials,2.4933359586834767,6.07,5.56,1.21,20704848750,613477000
-SNPS,Synopsys Inc.,Information Technology,0.8013663430252196,47.31,3.45,1.18,24589893168,150535000
-TGT,Target Corp.,Consumer Discretionary,1.340881991913131,18.64,6.26,0.56,59100734918,506737000
-TXN,Texas Instruments,Information Technology,0.8862468117623082,25.24,5.24,1.24,123223956977,932032000
-HSY,The Hershey Company,Consumer Staples,1.4696819942330823,29.33,5.47,0.02,23779704176,148308000
-TMO,Thermo Fisher Scientific,Health Care,0.9572371356767688,36.98,9.17,1.14,136012138268,400991000
-UNH,United Health Group Inc.,Health Care,0.8928925321222835,20.86,14.33,0.69,283068652543,947415000
-VFC,V.F. Corp.,Consumer Discretionary,1.3232414086548459,25.99,3.22,1.2,33022293377,394720000
-WMT,Wal-Mart Stores,Consumer Staples,1.2710964130621618,23.55,5.0,0.36,334474559018,2837175000
-WBA,Walgreens Boots Alliance,Consumer Staples,2.224201311650672,13.0,4.07,0.92,46817805348,885862000
diff --git a/ffmreturns.csv b/ffmreturns.csv
new file mode 100644
index 0000000..1bf6314
--- /dev/null
+++ b/ffmreturns.csv
@@ -0,0 +1,101 @@
+Stock,FFM Returns
+ADBE,0.329761028
+MSFT,0.32250065
+CTAS,0.2859733
+BBY,0.264073092
+SNPS,0.258978767
+FISV,0.249902978
+UNH,0.243093824
+FB,0.238789094
+RMD,0.23631678
+AAPL,0.236049322
+MCO,0.234858117
+BSX,0.233860621
+BA,0.233236127
+MTD,0.23289527
+MSI,0.231468305
+OKE,0.230147782
+NEE,0.227986191
+ACN,0.225818128
+TXN,0.224912306
+TMO,0.223396092
+GOOGL,0.214639843
+DXC,0.210906153
+NRG,0.208669696
+CRM,0.207470204
+CINF,0.199837867
+RCL,0.195659444
+AJG,0.195583018
+RTN,0.19479614
+FMC,0.193866857
+COST,0.192129974
+NEM,0.189685796
+TGT,0.185069819
+ADP,0.183269476
+AON,0.183167419
+SBUX,0.177744967
+HII,0.172309762
+HLT,0.171046851
+LNT,0.166244327
+IT,0.165213744
+PHM,0.16513204
+CCI,0.163975237
+AES,0.162653808
+RJF,0.1550463
+APD,0.153160881
+AMGN,0.151748658
+MRK,0.147015861
+MGM,0.146332879
+GWW,0.143753783
+EFX,0.140914861
+AXP,0.132252227
+ALB,0.132207229
+HOLX,0.129967712
+FE,0.129909559
+VFC,0.129110804
+ETN,0.128998261
+HSY,0.125085342
+WMT,0.125054707
+MDT,0.12421349
+LKQ,0.121771661
+CNP,0.121501687
+PEP,0.117935265
+COF,0.116104299
+EIX,0.11470824
+LUV,0.107832862
+KO,0.103820149
+LYB,0.103512466
+GS,0.099914539
+KMX,0.099285234
+PPL,0.098239274
+SYF,0.091836098
+EQR,0.08949458
+EXPE,0.086285553
+GM,0.08449462
+BMY,0.083176807
+ORCL,0.077350148
+INCY,0.076793095
+GPC,0.074228025
+IRM,0.073060731
+FFIV,0.064989396
+GIS,0.063146888
+DISCK,0.061552496
+HST,0.052833242
+RL,0.046267077
+FCX,0.038646264
+NWS,0.025555928
+FDX,0.02425391
+ABC,0.018486986
+HRB,0.001103738
+WBA,-0.007405433
+BWA,-0.008936781
+CVS,-0.010387317
+MHK,-0.016397061
+NBL,-0.038133714
+KMI,-0.038511214
+OXY,-0.042821394
+COG,-0.050016632
+SRCL,-0.085880676
+M,-0.12659805
+MYL,-0.130828848
+AMG,-0.138798233
\ No newline at end of file
diff --git a/selection_criteria.ipynb b/selection_criteria.ipynb
index 3f8e59f..2b53187 100644
--- a/selection_criteria.ipynb
+++ b/selection_criteria.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -127,7 +127,7 @@
        "[505 rows x 2 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -141,7 +141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -240,7 +240,7 @@
        "[100 rows x 1 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -254,7 +254,120 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>FFM Returns</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Stock</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ADBE</th>\n",
+       "      <td>0.329761</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.322501</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CTAS</th>\n",
+       "      <td>0.285973</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BBY</th>\n",
+       "      <td>0.264073</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SNPS</th>\n",
+       "      <td>0.258979</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COG</th>\n",
+       "      <td>-0.050017</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SRCL</th>\n",
+       "      <td>-0.085881</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>M</th>\n",
+       "      <td>-0.126598</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MYL</th>\n",
+       "      <td>-0.130829</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AMG</th>\n",
+       "      <td>-0.138798</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       FFM Returns\n",
+       "Stock             \n",
+       "ADBE      0.329761\n",
+       "MSFT      0.322501\n",
+       "CTAS      0.285973\n",
+       "BBY       0.264073\n",
+       "SNPS      0.258979\n",
+       "...            ...\n",
+       "COG      -0.050017\n",
+       "SRCL     -0.085881\n",
+       "M        -0.126598\n",
+       "MYL      -0.130829\n",
+       "AMG      -0.138798\n",
+       "\n",
+       "[100 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# importing sharpe ratio data\n",
+    "ffm_path = Path('ffmreturns.csv')\n",
+    "ffm_df = pd.read_csv(ffm_path, index_col = 'Stock')\n",
+    "ffm_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -405,7 +518,7 @@
        "[100 rows x 5 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -419,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -447,6 +560,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -461,6 +575,7 @@
        "      <td>Accenture plc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.113858</td>\n",
+       "      <td>0.225818</td>\n",
        "      <td>28.34</td>\n",
        "      <td>7.49</td>\n",
        "      <td>1.03</td>\n",
@@ -473,6 +588,7 @@
        "      <td>Adobe Systems Inc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.616060</td>\n",
+       "      <td>0.329761</td>\n",
        "      <td>63.17</td>\n",
        "      <td>6.01</td>\n",
        "      <td>1.09</td>\n",
@@ -485,6 +601,7 @@
        "      <td>AES Corp</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.182641</td>\n",
+       "      <td>0.162654</td>\n",
        "      <td>27.44</td>\n",
        "      <td>0.76</td>\n",
        "      <td>1.05</td>\n",
@@ -497,6 +614,7 @@
        "      <td>Affiliated Managers Group Inc</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.097986</td>\n",
+       "      <td>-0.138798</td>\n",
        "      <td>267.18</td>\n",
        "      <td>0.31</td>\n",
        "      <td>1.69</td>\n",
@@ -509,6 +627,7 @@
        "      <td>Air Products &amp; Chemicals Inc</td>\n",
        "      <td>Materials</td>\n",
        "      <td>1.224824</td>\n",
+       "      <td>0.153161</td>\n",
        "      <td>30.09</td>\n",
        "      <td>8.51</td>\n",
        "      <td>0.86</td>\n",
@@ -526,6 +645,7 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>87</th>\n",
@@ -533,6 +653,7 @@
        "      <td>Thermo Fisher Scientific</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.957237</td>\n",
+       "      <td>0.223396</td>\n",
        "      <td>36.98</td>\n",
        "      <td>9.17</td>\n",
        "      <td>1.14</td>\n",
@@ -545,6 +666,7 @@
        "      <td>United Health Group Inc.</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.892893</td>\n",
+       "      <td>0.243094</td>\n",
        "      <td>20.86</td>\n",
        "      <td>14.33</td>\n",
        "      <td>0.69</td>\n",
@@ -557,6 +679,7 @@
        "      <td>V.F. Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.323241</td>\n",
+       "      <td>0.129111</td>\n",
        "      <td>25.99</td>\n",
        "      <td>3.22</td>\n",
        "      <td>1.20</td>\n",
@@ -569,6 +692,7 @@
        "      <td>Wal-Mart Stores</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.271096</td>\n",
+       "      <td>0.125055</td>\n",
        "      <td>23.55</td>\n",
        "      <td>5.00</td>\n",
        "      <td>0.36</td>\n",
@@ -581,6 +705,7 @@
        "      <td>Walgreens Boots Alliance</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.224201</td>\n",
+       "      <td>-0.007405</td>\n",
        "      <td>13.00</td>\n",
        "      <td>4.07</td>\n",
        "      <td>0.92</td>\n",
@@ -589,7 +714,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>92 rows × 9 columns</p>\n",
+       "<p>92 rows × 10 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -606,33 +731,46 @@
        "90    WMT                Wal-Mart Stores        Consumer Staples   \n",
        "91    WBA       Walgreens Boots Alliance        Consumer Staples   \n",
        "\n",
-       "    sharpe ratio  P/E ratio    EPS  beta       mkt cap      shares  \n",
-       "0       1.113858      28.34   7.49  1.03  139515576338   656946000  \n",
-       "1       0.616060      63.17   6.01  1.09  185174936969   487726000  \n",
-       "2       1.182641      27.44   0.76  1.05   13895280692   663893000  \n",
-       "3       1.097986     267.18   0.31  1.69    4084648875    49272000  \n",
-       "4       1.224824      30.09   8.51  0.86   56495776935   220678000  \n",
-       "..           ...        ...    ...   ...           ...         ...  \n",
-       "87      0.957237      36.98   9.17  1.14  136012138268   400991000  \n",
-       "88      0.892893      20.86  14.33  0.69  283068652543   947415000  \n",
-       "89      1.323241      25.99   3.22  1.20   33022293377   394720000  \n",
-       "90      1.271096      23.55   5.00  0.36  334474559018  2837175000  \n",
-       "91      2.224201      13.00   4.07  0.92   46817805348   885862000  \n",
+       "    sharpe ratio  FFM returns  P/E ratio    EPS  beta       mkt cap  \\\n",
+       "0       1.113858     0.225818      28.34   7.49  1.03  139515576338   \n",
+       "1       0.616060     0.329761      63.17   6.01  1.09  185174936969   \n",
+       "2       1.182641     0.162654      27.44   0.76  1.05   13895280692   \n",
+       "3       1.097986    -0.138798     267.18   0.31  1.69    4084648875   \n",
+       "4       1.224824     0.153161      30.09   8.51  0.86   56495776935   \n",
+       "..           ...          ...        ...    ...   ...           ...   \n",
+       "87      0.957237     0.223396      36.98   9.17  1.14  136012138268   \n",
+       "88      0.892893     0.243094      20.86  14.33  0.69  283068652543   \n",
+       "89      1.323241     0.129111      25.99   3.22  1.20   33022293377   \n",
+       "90      1.271096     0.125055      23.55   5.00  0.36  334474559018   \n",
+       "91      2.224201    -0.007405      13.00   4.07  0.92   46817805348   \n",
+       "\n",
+       "        shares  \n",
+       "0    656946000  \n",
+       "1    487726000  \n",
+       "2    663893000  \n",
+       "3     49272000  \n",
+       "4    220678000  \n",
+       "..         ...  \n",
+       "87   400991000  \n",
+       "88   947415000  \n",
+       "89   394720000  \n",
+       "90  2837175000  \n",
+       "91   885862000  \n",
        "\n",
-       "[92 rows x 9 columns]"
+       "[92 rows x 10 columns]"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# concatenating the datasets and dropping nulls\n",
-    "merged_df = pd.concat([sp500_df,sharpe_df,stock_data_df], axis='columns', join='inner')\n",
+    "merged_df = pd.concat([sp500_df,sharpe_df,ffm_df,stock_data_df], axis='columns', join='inner')\n",
     "merged_df.dropna(inplace=True)\n",
     "merged_df.reset_index(inplace=True)\n",
-    "merged_df.columns = ['ticker','name','sector','sharpe ratio','P/E ratio','EPS','beta','mkt cap','shares']\n",
+    "merged_df.columns = ['ticker','name','sector','sharpe ratio','FFM returns','P/E ratio','EPS','beta','mkt cap','shares']\n",
     "merged_df"
    ]
   },
@@ -719,7 +857,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'FFM Returns')"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1800x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plotting returns\n",
+    "merged_df.plot(x='ticker',y='FFM returns', kind='bar', figsize=(25,10))\n",
+    "plt.suptitle('FFM Returns in Investment Universe', fontsize=30)\n",
+    "plt.xlabel('Company Ticker',fontsize=20)\n",
+    "plt.ylabel('FFM Returns',fontsize=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -732,9 +906,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  after removing the cwd from sys.path.\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  if sys.path[0] == '':\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:16: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  app.launch_new_instance()\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:20: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:24: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:28: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:32: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:36: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:40: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
+     ]
+    }
+   ],
    "source": [
     "# creating datasets for each sector\n",
     "cd_mask = merged_df['sector'] == 'Consumer Discretionary'\n",
@@ -780,7 +1005,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -808,6 +1033,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -822,6 +1048,7 @@
        "      <td>Genuine Parts</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.924464</td>\n",
+       "      <td>0.074228</td>\n",
        "      <td>17.71</td>\n",
        "      <td>5.45</td>\n",
        "      <td>0.89</td>\n",
@@ -834,6 +1061,7 @@
        "      <td>Expedia Inc.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.407311</td>\n",
+       "      <td>0.086286</td>\n",
        "      <td>32.58</td>\n",
        "      <td>3.77</td>\n",
        "      <td>1.01</td>\n",
@@ -846,6 +1074,7 @@
        "      <td>Discovery Communications-C</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.309659</td>\n",
+       "      <td>0.061552</td>\n",
        "      <td>11.10</td>\n",
        "      <td>2.59</td>\n",
        "      <td>1.45</td>\n",
@@ -858,6 +1087,7 @@
        "      <td>LKQ Corporation</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.216066</td>\n",
+       "      <td>0.121772</td>\n",
        "      <td>23.73</td>\n",
        "      <td>1.40</td>\n",
        "      <td>1.30</td>\n",
@@ -870,6 +1100,7 @@
        "      <td>General Motors</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.903721</td>\n",
+       "      <td>0.084495</td>\n",
        "      <td>7.60</td>\n",
        "      <td>4.57</td>\n",
        "      <td>1.38</td>\n",
@@ -882,6 +1113,7 @@
        "      <td>Carmax Inc</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.703158</td>\n",
+       "      <td>0.099285</td>\n",
        "      <td>19.16</td>\n",
        "      <td>5.16</td>\n",
        "      <td>1.10</td>\n",
@@ -894,6 +1126,7 @@
        "      <td>Polo Ralph Lauren Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.685028</td>\n",
+       "      <td>0.046267</td>\n",
        "      <td>14.16</td>\n",
        "      <td>8.61</td>\n",
        "      <td>0.90</td>\n",
@@ -906,6 +1139,7 @@
        "      <td>BorgWarner</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.682271</td>\n",
+       "      <td>-0.008937</td>\n",
        "      <td>9.20</td>\n",
        "      <td>3.71</td>\n",
        "      <td>1.91</td>\n",
@@ -918,6 +1152,7 @@
        "      <td>Starbucks Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.388488</td>\n",
+       "      <td>0.177745</td>\n",
        "      <td>29.15</td>\n",
        "      <td>3.06</td>\n",
        "      <td>0.56</td>\n",
@@ -930,6 +1165,7 @@
        "      <td>Royal Caribbean Cruises Ltd</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.347063</td>\n",
+       "      <td>0.195659</td>\n",
        "      <td>12.55</td>\n",
        "      <td>9.02</td>\n",
        "      <td>1.44</td>\n",
@@ -942,6 +1178,7 @@
        "      <td>Target Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.340882</td>\n",
+       "      <td>0.185070</td>\n",
        "      <td>18.64</td>\n",
        "      <td>6.26</td>\n",
        "      <td>0.56</td>\n",
@@ -954,6 +1191,7 @@
        "      <td>V.F. Corp.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.323241</td>\n",
+       "      <td>0.129111</td>\n",
        "      <td>25.99</td>\n",
        "      <td>3.22</td>\n",
        "      <td>1.20</td>\n",
@@ -966,6 +1204,7 @@
        "      <td>Mohawk Industries</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.255168</td>\n",
+       "      <td>-0.016397</td>\n",
        "      <td>13.40</td>\n",
        "      <td>10.30</td>\n",
        "      <td>1.36</td>\n",
@@ -978,6 +1217,7 @@
        "      <td>Pulte Homes Inc.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.125225</td>\n",
+       "      <td>0.165132</td>\n",
        "      <td>12.77</td>\n",
        "      <td>3.66</td>\n",
        "      <td>0.56</td>\n",
@@ -990,6 +1230,7 @@
        "      <td>Hilton Worldwide Holdings Inc</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>1.059899</td>\n",
+       "      <td>0.171047</td>\n",
        "      <td>37.27</td>\n",
        "      <td>3.04</td>\n",
        "      <td>1.14</td>\n",
@@ -1002,6 +1243,7 @@
        "      <td>Macy's Inc.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>0.826483</td>\n",
+       "      <td>-0.126598</td>\n",
        "      <td>5.39</td>\n",
        "      <td>3.09</td>\n",
        "      <td>0.66</td>\n",
@@ -1014,6 +1256,7 @@
        "      <td>Best Buy Co. Inc.</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>0.823915</td>\n",
+       "      <td>0.264073</td>\n",
        "      <td>15.98</td>\n",
        "      <td>5.64</td>\n",
        "      <td>1.12</td>\n",
@@ -1044,27 +1287,46 @@
        "56      M                    Macy's Inc.  Consumer Discretionary   \n",
        "15    BBY              Best Buy Co. Inc.  Consumer Discretionary   \n",
        "\n",
-       "    sharpe ratio  P/E ratio    EPS  beta       mkt cap      shares  \n",
-       "44      2.924464      17.71   5.45  0.89   14016415887   145293000  \n",
-       "33      2.407311      32.58   3.77  1.01   17792025802   139363000  \n",
-       "30      2.309659      11.10   2.59  1.45   15392873644   360664000  \n",
-       "54      2.216066      23.73   1.40  1.30   10174538633   306462000  \n",
-       "43      1.903721       7.60   4.57  1.38   49672072361  1429002000  \n",
-       "22      1.703158      19.16   5.16  1.10   16144071451   163385000  \n",
-       "72      1.685028      14.16   8.61  0.90    8984857815    48862000  \n",
-       "17      1.682271       9.20   3.71  1.91    7048901814   206410000  \n",
-       "81      1.388488      29.15   3.06  0.56  104787934567  1173700000  \n",
-       "78      1.347063      12.55   9.02  1.44   23627921924   208801000  \n",
-       "84      1.340882      18.64   6.26  0.56   59100734918   506737000  \n",
-       "89      1.323241      25.99   3.22  1.20   33022293377   394720000  \n",
-       "61      1.255168      13.40  10.30  1.36    9882403253    71622000  \n",
-       "74      1.125225      12.77   3.66  0.56   12605132379   269975000  \n",
-       "47      1.059899      37.27   3.04  1.14   31415437971   277448000  \n",
-       "56      0.826483       5.39   3.09  0.66    5150446573   308965000  \n",
-       "15      0.823915      15.98   5.64  1.12   23344272933   258777000  "
+       "    sharpe ratio  FFM returns  P/E ratio    EPS  beta       mkt cap  \\\n",
+       "44      2.924464     0.074228      17.71   5.45  0.89   14016415887   \n",
+       "33      2.407311     0.086286      32.58   3.77  1.01   17792025802   \n",
+       "30      2.309659     0.061552      11.10   2.59  1.45   15392873644   \n",
+       "54      2.216066     0.121772      23.73   1.40  1.30   10174538633   \n",
+       "43      1.903721     0.084495       7.60   4.57  1.38   49672072361   \n",
+       "22      1.703158     0.099285      19.16   5.16  1.10   16144071451   \n",
+       "72      1.685028     0.046267      14.16   8.61  0.90    8984857815   \n",
+       "17      1.682271    -0.008937       9.20   3.71  1.91    7048901814   \n",
+       "81      1.388488     0.177745      29.15   3.06  0.56  104787934567   \n",
+       "78      1.347063     0.195659      12.55   9.02  1.44   23627921924   \n",
+       "84      1.340882     0.185070      18.64   6.26  0.56   59100734918   \n",
+       "89      1.323241     0.129111      25.99   3.22  1.20   33022293377   \n",
+       "61      1.255168    -0.016397      13.40  10.30  1.36    9882403253   \n",
+       "74      1.125225     0.165132      12.77   3.66  0.56   12605132379   \n",
+       "47      1.059899     0.171047      37.27   3.04  1.14   31415437971   \n",
+       "56      0.826483    -0.126598       5.39   3.09  0.66    5150446573   \n",
+       "15      0.823915     0.264073      15.98   5.64  1.12   23344272933   \n",
+       "\n",
+       "        shares  \n",
+       "44   145293000  \n",
+       "33   139363000  \n",
+       "30   360664000  \n",
+       "54   306462000  \n",
+       "43  1429002000  \n",
+       "22   163385000  \n",
+       "72    48862000  \n",
+       "17   206410000  \n",
+       "81  1173700000  \n",
+       "78   208801000  \n",
+       "84   506737000  \n",
+       "89   394720000  \n",
+       "61    71622000  \n",
+       "74   269975000  \n",
+       "47   277448000  \n",
+       "56   308965000  \n",
+       "15   258777000  "
       ]
      },
-     "execution_count": 49,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1077,7 +1339,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1105,6 +1367,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1119,6 +1382,7 @@
        "      <td>General Mills</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.641281</td>\n",
+       "      <td>0.063147</td>\n",
        "      <td>15.34</td>\n",
        "      <td>3.48</td>\n",
        "      <td>0.73</td>\n",
@@ -1131,6 +1395,7 @@
        "      <td>Walgreens Boots Alliance</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.224201</td>\n",
+       "      <td>-0.007405</td>\n",
        "      <td>13.00</td>\n",
        "      <td>4.07</td>\n",
        "      <td>0.92</td>\n",
@@ -1143,6 +1408,7 @@
        "      <td>Coca-Cola Company (The)</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.197158</td>\n",
+       "      <td>0.103820</td>\n",
        "      <td>28.99</td>\n",
        "      <td>2.07</td>\n",
        "      <td>0.41</td>\n",
@@ -1155,6 +1421,7 @@
        "      <td>PepsiCo Inc.</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.951250</td>\n",
+       "      <td>0.117935</td>\n",
        "      <td>28.31</td>\n",
        "      <td>5.19</td>\n",
        "      <td>0.53</td>\n",
@@ -1167,6 +1434,7 @@
        "      <td>CVS Health</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.707963</td>\n",
+       "      <td>-0.010387</td>\n",
        "      <td>14.05</td>\n",
        "      <td>5.08</td>\n",
        "      <td>0.93</td>\n",
@@ -1179,6 +1447,7 @@
        "      <td>The Hershey Company</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.469682</td>\n",
+       "      <td>0.125085</td>\n",
        "      <td>29.33</td>\n",
        "      <td>5.47</td>\n",
        "      <td>0.02</td>\n",
@@ -1191,6 +1460,7 @@
        "      <td>Wal-Mart Stores</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.271096</td>\n",
+       "      <td>0.125055</td>\n",
        "      <td>23.55</td>\n",
        "      <td>5.00</td>\n",
        "      <td>0.36</td>\n",
@@ -1203,6 +1473,7 @@
        "      <td>Costco Wholesale Corp.</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>1.060644</td>\n",
+       "      <td>0.192130</td>\n",
        "      <td>37.75</td>\n",
        "      <td>8.43</td>\n",
        "      <td>0.90</td>\n",
@@ -1224,18 +1495,18 @@
        "90    WMT           Wal-Mart Stores  Consumer Staples      1.271096   \n",
        "27   COST    Costco Wholesale Corp.  Consumer Staples      1.060644   \n",
        "\n",
-       "    P/E ratio   EPS  beta       mkt cap      shares  \n",
-       "42      15.34  3.48  0.73   32242795100   604817000  \n",
-       "91      13.00  4.07  0.92   46817805348   885862000  \n",
-       "26      28.99  2.07  0.41  256586003265  4280000000  \n",
-       "71      28.31  5.19  0.53  204968008309  1389545000  \n",
-       "29      14.05  5.08  0.93   92849804253  1300964000  \n",
-       "86      29.33  5.47  0.02   23779704176   148308000  \n",
-       "90      23.55  5.00  0.36  334474559018  2837175000  \n",
-       "27      37.75  8.43  0.90  140615987901   441758000  "
+       "    FFM returns  P/E ratio   EPS  beta       mkt cap      shares  \n",
+       "42     0.063147      15.34  3.48  0.73   32242795100   604817000  \n",
+       "91    -0.007405      13.00  4.07  0.92   46817805348   885862000  \n",
+       "26     0.103820      28.99  2.07  0.41  256586003265  4280000000  \n",
+       "71     0.117935      28.31  5.19  0.53  204968008309  1389545000  \n",
+       "29    -0.010387      14.05  5.08  0.93   92849804253  1300964000  \n",
+       "86     0.125085      29.33  5.47  0.02   23779704176   148308000  \n",
+       "90     0.125055      23.55  5.00  0.36  334474559018  2837175000  \n",
+       "27     0.192130      37.75  8.43  0.90  140615987901   441758000  "
       ]
      },
-     "execution_count": 40,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1248,7 +1519,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1276,6 +1547,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1290,6 +1562,7 @@
        "      <td>Occidental Petroleum</td>\n",
        "      <td>Energy</td>\n",
        "      <td>2.054771</td>\n",
+       "      <td>-0.042821</td>\n",
        "      <td>29.53</td>\n",
        "      <td>1.41</td>\n",
        "      <td>0.90</td>\n",
@@ -1302,6 +1575,7 @@
        "      <td>Cabot Oil &amp; Gas</td>\n",
        "      <td>Energy</td>\n",
        "      <td>1.952983</td>\n",
+       "      <td>-0.050017</td>\n",
        "      <td>7.80</td>\n",
        "      <td>1.90</td>\n",
        "      <td>0.47</td>\n",
@@ -1314,6 +1588,7 @@
        "      <td>Kinder Morgan</td>\n",
        "      <td>Energy</td>\n",
        "      <td>1.038470</td>\n",
+       "      <td>-0.038511</td>\n",
        "      <td>22.87</td>\n",
        "      <td>0.96</td>\n",
        "      <td>0.81</td>\n",
@@ -1326,6 +1601,7 @@
        "      <td>ONEOK</td>\n",
        "      <td>Energy</td>\n",
        "      <td>0.917326</td>\n",
+       "      <td>0.230148</td>\n",
        "      <td>25.56</td>\n",
        "      <td>3.01</td>\n",
        "      <td>1.11</td>\n",
@@ -1337,20 +1613,20 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                  name  sector  sharpe ratio  P/E ratio   EPS  beta  \\\n",
-       "68    OXY  Occidental Petroleum  Energy      2.054771      29.53  1.41  0.90   \n",
-       "20    COG       Cabot Oil & Gas  Energy      1.952983       7.80  1.90  0.47   \n",
-       "53    KMI         Kinder Morgan  Energy      1.038470      22.87  0.96  0.81   \n",
-       "69    OKE                 ONEOK  Energy      0.917326      25.56  3.01  1.11   \n",
+       "   ticker                  name  sector  sharpe ratio  FFM returns  P/E ratio  \\\n",
+       "68    OXY  Occidental Petroleum  Energy      2.054771    -0.042821      29.53   \n",
+       "20    COG       Cabot Oil & Gas  Energy      1.952983    -0.050017       7.80   \n",
+       "53    KMI         Kinder Morgan  Energy      1.038470    -0.038511      22.87   \n",
+       "69    OKE                 ONEOK  Energy      0.917326     0.230148      25.56   \n",
        "\n",
-       "        mkt cap      shares  \n",
-       "68  37161985836   893317000  \n",
-       "20   6037284157   407925000  \n",
-       "53  49831386000  2265063000  \n",
-       "69  31799253894   413085000  "
+       "     EPS  beta      mkt cap      shares  \n",
+       "68  1.41  0.90  37161985836   893317000  \n",
+       "20  1.90  0.47   6037284157   407925000  \n",
+       "53  0.96  0.81  49831386000  2265063000  \n",
+       "69  3.01  1.11  31799253894   413085000  "
       ]
      },
-     "execution_count": 41,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1363,7 +1639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1391,6 +1667,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1405,6 +1682,7 @@
        "      <td>Synchrony Financial</td>\n",
        "      <td>Financials</td>\n",
        "      <td>2.493336</td>\n",
+       "      <td>0.091836</td>\n",
        "      <td>6.07</td>\n",
        "      <td>5.56</td>\n",
        "      <td>1.21</td>\n",
@@ -1417,6 +1695,7 @@
        "      <td>Block H&amp;R</td>\n",
        "      <td>Financials</td>\n",
        "      <td>2.210675</td>\n",
+       "      <td>0.001104</td>\n",
        "      <td>11.75</td>\n",
        "      <td>1.90</td>\n",
        "      <td>0.23</td>\n",
@@ -1429,6 +1708,7 @@
        "      <td>Capital One Financial</td>\n",
        "      <td>Financials</td>\n",
        "      <td>2.034764</td>\n",
+       "      <td>0.116104</td>\n",
        "      <td>9.31</td>\n",
        "      <td>11.02</td>\n",
        "      <td>1.25</td>\n",
@@ -1441,6 +1721,7 @@
        "      <td>Goldman Sachs Group</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.828821</td>\n",
+       "      <td>0.099915</td>\n",
        "      <td>11.27</td>\n",
        "      <td>21.03</td>\n",
        "      <td>1.32</td>\n",
@@ -1453,6 +1734,7 @@
        "      <td>Raymond James Financial Inc.</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.281138</td>\n",
+       "      <td>0.155046</td>\n",
        "      <td>13.44</td>\n",
        "      <td>7.36</td>\n",
        "      <td>1.50</td>\n",
@@ -1465,6 +1747,7 @@
        "      <td>American Express Co</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.214408</td>\n",
+       "      <td>0.132252</td>\n",
        "      <td>17.01</td>\n",
        "      <td>7.99</td>\n",
        "      <td>0.99</td>\n",
@@ -1477,6 +1760,7 @@
        "      <td>Cincinnati Financial</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.121374</td>\n",
+       "      <td>0.199838</td>\n",
        "      <td>9.52</td>\n",
        "      <td>12.10</td>\n",
        "      <td>0.57</td>\n",
@@ -1489,6 +1773,7 @@
        "      <td>Aon plc</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.104319</td>\n",
+       "      <td>0.183167</td>\n",
        "      <td>37.00</td>\n",
        "      <td>6.37</td>\n",
        "      <td>0.83</td>\n",
@@ -1501,6 +1786,7 @@
        "      <td>Affiliated Managers Group Inc</td>\n",
        "      <td>Financials</td>\n",
        "      <td>1.097986</td>\n",
+       "      <td>-0.138798</td>\n",
        "      <td>267.18</td>\n",
        "      <td>0.31</td>\n",
        "      <td>1.69</td>\n",
@@ -1513,6 +1799,7 @@
        "      <td>Arthur J. Gallagher &amp; Co.</td>\n",
        "      <td>Financials</td>\n",
        "      <td>0.967112</td>\n",
+       "      <td>0.195583</td>\n",
        "      <td>31.03</td>\n",
        "      <td>3.52</td>\n",
        "      <td>0.76</td>\n",
@@ -1525,6 +1812,7 @@
        "      <td>Moody's Corp</td>\n",
        "      <td>Financials</td>\n",
        "      <td>0.927984</td>\n",
+       "      <td>0.234858</td>\n",
        "      <td>37.43</td>\n",
        "      <td>7.42</td>\n",
        "      <td>1.21</td>\n",
@@ -1536,34 +1824,34 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                           name      sector  sharpe ratio  P/E ratio  \\\n",
-       "82    SYF            Synchrony Financial  Financials      2.493336       6.07   \n",
-       "16    HRB                      Block H&R  Financials      2.210675      11.75   \n",
-       "21    COF          Capital One Financial  Financials      2.034764       9.31   \n",
-       "45     GS            Goldman Sachs Group  Financials      1.828821      11.27   \n",
-       "75    RJF   Raymond James Financial Inc.  Financials      1.281138      13.44   \n",
-       "8     AXP            American Express Co  Financials      1.214408      17.01   \n",
-       "24   CINF           Cincinnati Financial  Financials      1.121374       9.52   \n",
-       "11    AON                        Aon plc  Financials      1.104319      37.00   \n",
-       "3     AMG  Affiliated Managers Group Inc  Financials      1.097986     267.18   \n",
-       "13    AJG      Arthur J. Gallagher & Co.  Financials      0.967112      31.03   \n",
-       "62    MCO                   Moody's Corp  Financials      0.927984      37.43   \n",
+       "   ticker                           name      sector  sharpe ratio  \\\n",
+       "82    SYF            Synchrony Financial  Financials      2.493336   \n",
+       "16    HRB                      Block H&R  Financials      2.210675   \n",
+       "21    COF          Capital One Financial  Financials      2.034764   \n",
+       "45     GS            Goldman Sachs Group  Financials      1.828821   \n",
+       "75    RJF   Raymond James Financial Inc.  Financials      1.281138   \n",
+       "8     AXP            American Express Co  Financials      1.214408   \n",
+       "24   CINF           Cincinnati Financial  Financials      1.121374   \n",
+       "11    AON                        Aon plc  Financials      1.104319   \n",
+       "3     AMG  Affiliated Managers Group Inc  Financials      1.097986   \n",
+       "13    AJG      Arthur J. Gallagher & Co.  Financials      0.967112   \n",
+       "62    MCO                   Moody's Corp  Financials      0.927984   \n",
        "\n",
-       "      EPS  beta       mkt cap     shares  \n",
-       "82   5.56  1.21   20704848750  613477000  \n",
-       "16   1.90  0.23    4369605316  195246000  \n",
-       "21  11.02  1.25   46865423721  456600000  \n",
-       "45  21.03  1.32   83946946608  354087000  \n",
-       "75   7.36  1.50   13782151374  139284000  \n",
-       "8    7.99  0.99  111178449600  808041000  \n",
-       "24  12.10  0.57   18822318390  163374000  \n",
-       "11   6.37  0.83   54701475530  234137000  \n",
-       "3    0.31  1.69    4084648875   49272000  \n",
-       "13   3.52  0.76   20549043209  188247000  \n",
-       "62   7.42  1.21   52148688479  187700000  "
+       "    FFM returns  P/E ratio    EPS  beta       mkt cap     shares  \n",
+       "82     0.091836       6.07   5.56  1.21   20704848750  613477000  \n",
+       "16     0.001104      11.75   1.90  0.23    4369605316  195246000  \n",
+       "21     0.116104       9.31  11.02  1.25   46865423721  456600000  \n",
+       "45     0.099915      11.27  21.03  1.32   83946946608  354087000  \n",
+       "75     0.155046      13.44   7.36  1.50   13782151374  139284000  \n",
+       "8      0.132252      17.01   7.99  0.99  111178449600  808041000  \n",
+       "24     0.199838       9.52  12.10  0.57   18822318390  163374000  \n",
+       "11     0.183167      37.00   6.37  0.83   54701475530  234137000  \n",
+       "3     -0.138798     267.18   0.31  1.69    4084648875   49272000  \n",
+       "13     0.195583      31.03   3.52  0.76   20549043209  188247000  \n",
+       "62     0.234858      37.43   7.42  1.21   52148688479  187700000  "
       ]
      },
-     "execution_count": 42,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1576,7 +1864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -1604,6 +1892,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1618,6 +1907,7 @@
        "      <td>AmerisourceBergen Corp</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>2.824204</td>\n",
+       "      <td>0.018487</td>\n",
        "      <td>30.62</td>\n",
        "      <td>3.08</td>\n",
        "      <td>1.01</td>\n",
@@ -1630,6 +1920,7 @@
        "      <td>Bristol-Myers Squibb</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>2.688515</td>\n",
+       "      <td>0.083177</td>\n",
        "      <td>33.05</td>\n",
        "      <td>2.01</td>\n",
        "      <td>0.76</td>\n",
@@ -1642,6 +1933,7 @@
        "      <td>Hologic</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>2.425412</td>\n",
+       "      <td>0.129968</td>\n",
        "      <td>173.01</td>\n",
        "      <td>0.31</td>\n",
        "      <td>0.85</td>\n",
@@ -1654,6 +1946,7 @@
        "      <td>Medtronic plc</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.917921</td>\n",
+       "      <td>0.124213</td>\n",
        "      <td>33.97</td>\n",
        "      <td>3.45</td>\n",
        "      <td>0.60</td>\n",
@@ -1666,6 +1959,7 @@
        "      <td>Amgen Inc</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.861649</td>\n",
+       "      <td>0.151749</td>\n",
        "      <td>17.36</td>\n",
        "      <td>12.88</td>\n",
        "      <td>1.12</td>\n",
@@ -1678,6 +1972,7 @@
        "      <td>Merck &amp; Co.</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.368058</td>\n",
+       "      <td>0.147016</td>\n",
        "      <td>21.52</td>\n",
        "      <td>3.84</td>\n",
        "      <td>0.57</td>\n",
@@ -1690,6 +1985,7 @@
        "      <td>Incyte</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.268258</td>\n",
+       "      <td>0.076793</td>\n",
        "      <td>38.21</td>\n",
        "      <td>2.05</td>\n",
        "      <td>1.06</td>\n",
@@ -1702,6 +1998,7 @@
        "      <td>Mettler Toledo</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.969242</td>\n",
+       "      <td>0.232895</td>\n",
        "      <td>33.97</td>\n",
        "      <td>22.47</td>\n",
        "      <td>1.39</td>\n",
@@ -1714,6 +2011,7 @@
        "      <td>Thermo Fisher Scientific</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.957237</td>\n",
+       "      <td>0.223396</td>\n",
        "      <td>36.98</td>\n",
        "      <td>9.17</td>\n",
        "      <td>1.14</td>\n",
@@ -1726,6 +2024,7 @@
        "      <td>Boston Scientific</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.933787</td>\n",
+       "      <td>0.233861</td>\n",
        "      <td>12.70</td>\n",
        "      <td>3.33</td>\n",
        "      <td>0.87</td>\n",
@@ -1738,6 +2037,7 @@
        "      <td>Mylan N.V.</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.893280</td>\n",
+       "      <td>-0.130829</td>\n",
        "      <td>239.58</td>\n",
        "      <td>0.09</td>\n",
        "      <td>1.72</td>\n",
@@ -1750,6 +2050,7 @@
        "      <td>United Health Group Inc.</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.892893</td>\n",
+       "      <td>0.243094</td>\n",
        "      <td>20.86</td>\n",
        "      <td>14.33</td>\n",
        "      <td>0.69</td>\n",
@@ -1762,6 +2063,7 @@
        "      <td>ResMed</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>0.834963</td>\n",
+       "      <td>0.236317</td>\n",
        "      <td>56.31</td>\n",
        "      <td>3.14</td>\n",
        "      <td>0.48</td>\n",
@@ -1773,38 +2075,38 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                      name       sector  sharpe ratio  P/E ratio  \\\n",
-       "9     ABC    AmerisourceBergen Corp  Health Care      2.824204      30.62   \n",
-       "19    BMY      Bristol-Myers Squibb  Health Care      2.688515      33.05   \n",
-       "48   HOLX                   Hologic  Health Care      2.425412     173.01   \n",
-       "57    MDT             Medtronic plc  Health Care      1.917921      33.97   \n",
-       "10   AMGN                 Amgen Inc  Health Care      1.861649      17.36   \n",
-       "58    MRK               Merck & Co.  Health Care      1.368058      21.52   \n",
-       "51   INCY                    Incyte  Health Care      1.268258      38.21   \n",
-       "59    MTD            Mettler Toledo  Health Care      0.969242      33.97   \n",
-       "87    TMO  Thermo Fisher Scientific  Health Care      0.957237      36.98   \n",
-       "18    BSX         Boston Scientific  Health Care      0.933787      12.70   \n",
-       "64    MYL                Mylan N.V.  Health Care      0.893280     239.58   \n",
-       "88    UNH  United Health Group Inc.  Health Care      0.892893      20.86   \n",
-       "77    RMD                    ResMed  Health Care      0.834963      56.31   \n",
+       "   ticker                      name       sector  sharpe ratio  FFM returns  \\\n",
+       "9     ABC    AmerisourceBergen Corp  Health Care      2.824204     0.018487   \n",
+       "19    BMY      Bristol-Myers Squibb  Health Care      2.688515     0.083177   \n",
+       "48   HOLX                   Hologic  Health Care      2.425412     0.129968   \n",
+       "57    MDT             Medtronic plc  Health Care      1.917921     0.124213   \n",
+       "10   AMGN                 Amgen Inc  Health Care      1.861649     0.151749   \n",
+       "58    MRK               Merck & Co.  Health Care      1.368058     0.147016   \n",
+       "51   INCY                    Incyte  Health Care      1.268258     0.076793   \n",
+       "59    MTD            Mettler Toledo  Health Care      0.969242     0.232895   \n",
+       "87    TMO  Thermo Fisher Scientific  Health Care      0.957237     0.223396   \n",
+       "18    BSX         Boston Scientific  Health Care      0.933787     0.233861   \n",
+       "64    MYL                Mylan N.V.  Health Care      0.893280    -0.130829   \n",
+       "88    UNH  United Health Group Inc.  Health Care      0.892893     0.243094   \n",
+       "77    RMD                    ResMed  Health Care      0.834963     0.236317   \n",
        "\n",
-       "      EPS  beta       mkt cap      shares  \n",
-       "9    3.08  1.01   19427969245   205892000  \n",
-       "19   2.01  0.76  155607591281  2344185000  \n",
-       "48   0.31  0.85   13960272160   263302000  \n",
-       "57   3.45  0.60  157266553194  1340378000  \n",
-       "10  12.88  1.12  131810065840   589807000  \n",
-       "58   3.84  0.57  210425581484  2545984000  \n",
-       "51   2.05  1.06   17006076538   216776000  \n",
-       "59  22.47  1.39   18357249893    24053000  \n",
-       "87   9.17  1.14  136012138268   400991000  \n",
-       "18   3.33  0.87   58972695354  1393824000  \n",
-       "64   0.09  1.72   11303303743   516177000  \n",
-       "88  14.33  0.69  283068652543   947415000  \n",
-       "77   3.14  0.48   25539363082   144617000  "
+       "    P/E ratio    EPS  beta       mkt cap      shares  \n",
+       "9       30.62   3.08  1.01   19427969245   205892000  \n",
+       "19      33.05   2.01  0.76  155607591281  2344185000  \n",
+       "48     173.01   0.31  0.85   13960272160   263302000  \n",
+       "57      33.97   3.45  0.60  157266553194  1340378000  \n",
+       "10      17.36  12.88  1.12  131810065840   589807000  \n",
+       "58      21.52   3.84  0.57  210425581484  2545984000  \n",
+       "51      38.21   2.05  1.06   17006076538   216776000  \n",
+       "59      33.97  22.47  1.39   18357249893    24053000  \n",
+       "87      36.98   9.17  1.14  136012138268   400991000  \n",
+       "18      12.70   3.33  0.87   58972695354  1393824000  \n",
+       "64     239.58   0.09  1.72   11303303743   516177000  \n",
+       "88      20.86  14.33  0.69  283068652543   947415000  \n",
+       "77      56.31   3.14  0.48   25539363082   144617000  "
       ]
      },
-     "execution_count": 43,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1817,7 +2119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -1845,6 +2147,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -1859,6 +2162,7 @@
        "      <td>Southwest Airlines</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.726576</td>\n",
+       "      <td>0.107833</td>\n",
        "      <td>13.77</td>\n",
        "      <td>4.21</td>\n",
        "      <td>1.47</td>\n",
@@ -1871,6 +2175,7 @@
        "      <td>Eaton Corporation</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.604766</td>\n",
+       "      <td>0.128998</td>\n",
        "      <td>19.71</td>\n",
        "      <td>5.25</td>\n",
        "      <td>1.42</td>\n",
@@ -1883,6 +2188,7 @@
        "      <td>FedEx Corporation</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.509820</td>\n",
+       "      <td>0.024254</td>\n",
        "      <td>583.74</td>\n",
        "      <td>0.27</td>\n",
        "      <td>1.71</td>\n",
@@ -1895,6 +2201,7 @@
        "      <td>Grainger (W.W.) Inc.</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.358110</td>\n",
+       "      <td>0.143754</td>\n",
        "      <td>17.94</td>\n",
        "      <td>17.15</td>\n",
        "      <td>0.97</td>\n",
@@ -1907,6 +2214,7 @@
        "      <td>Raytheon Co.</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.158338</td>\n",
+       "      <td>0.194796</td>\n",
        "      <td>19.05</td>\n",
        "      <td>11.93</td>\n",
        "      <td>0.85</td>\n",
@@ -1919,6 +2227,7 @@
        "      <td>Huntington Ingalls Industries</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.154338</td>\n",
+       "      <td>0.172310</td>\n",
        "      <td>18.57</td>\n",
        "      <td>13.26</td>\n",
        "      <td>1.24</td>\n",
@@ -1931,6 +2240,7 @@
        "      <td>Cintas Corporation</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>0.703186</td>\n",
+       "      <td>0.285973</td>\n",
        "      <td>35.38</td>\n",
        "      <td>8.51</td>\n",
        "      <td>0.99</td>\n",
@@ -1951,17 +2261,17 @@
        "50    HII  Huntington Ingalls Industries  Industrials      1.154338   \n",
        "25   CTAS             Cintas Corporation  Industrials      0.703186   \n",
        "\n",
-       "    P/E ratio    EPS  beta      mkt cap     shares  \n",
-       "80      13.77   4.21  1.47  29987649751  517296000  \n",
-       "31      19.71   5.25  1.42  42807571261  413400000  \n",
-       "36     583.74   0.27  1.71  41418694505  261119000  \n",
-       "46      17.94  17.15  0.97  16517112872   53688000  \n",
-       "76      19.05  11.93  0.85  63256224340  278441000  \n",
-       "50      18.57  13.26  1.24  10035519873   40760000  \n",
-       "25      35.38   8.51  0.99  31216601386  103751000  "
+       "    FFM returns  P/E ratio    EPS  beta      mkt cap     shares  \n",
+       "80     0.107833      13.77   4.21  1.47  29987649751  517296000  \n",
+       "31     0.128998      19.71   5.25  1.42  42807571261  413400000  \n",
+       "36     0.024254     583.74   0.27  1.71  41418694505  261119000  \n",
+       "46     0.143754      17.94  17.15  0.97  16517112872   53688000  \n",
+       "76     0.194796      19.05  11.93  0.85  63256224340  278441000  \n",
+       "50     0.172310      18.57  13.26  1.24  10035519873   40760000  \n",
+       "25     0.285973      35.38   8.51  0.99  31216601386  103751000  "
       ]
      },
-     "execution_count": 44,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1974,7 +2284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -2002,6 +2312,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2016,6 +2327,7 @@
        "      <td>Oracle Corp.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.949619</td>\n",
+       "      <td>0.077350</td>\n",
        "      <td>17.61</td>\n",
        "      <td>3.15</td>\n",
        "      <td>1.11</td>\n",
@@ -2028,6 +2340,7 @@
        "      <td>F5 Networks</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.701382</td>\n",
+       "      <td>0.064989</td>\n",
        "      <td>19.49</td>\n",
        "      <td>6.54</td>\n",
        "      <td>0.98</td>\n",
@@ -2040,6 +2353,7 @@
        "      <td>Gartner Inc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.337328</td>\n",
+       "      <td>0.165214</td>\n",
        "      <td>59.34</td>\n",
        "      <td>2.57</td>\n",
        "      <td>1.21</td>\n",
@@ -2052,6 +2366,7 @@
        "      <td>Alphabet Inc Class A</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.198026</td>\n",
+       "      <td>0.214640</td>\n",
        "      <td>30.89</td>\n",
        "      <td>49.16</td>\n",
        "      <td>1.02</td>\n",
@@ -2064,6 +2379,7 @@
        "      <td>Accenture plc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.113858</td>\n",
+       "      <td>0.225818</td>\n",
        "      <td>28.34</td>\n",
        "      <td>7.49</td>\n",
        "      <td>1.03</td>\n",
@@ -2076,6 +2392,7 @@
        "      <td>Facebook, Inc.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.105767</td>\n",
+       "      <td>0.238789</td>\n",
        "      <td>33.32</td>\n",
        "      <td>6.43</td>\n",
        "      <td>1.05</td>\n",
@@ -2088,6 +2405,7 @@
        "      <td>Automatic Data Processing</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.004579</td>\n",
+       "      <td>0.183269</td>\n",
        "      <td>32.04</td>\n",
        "      <td>5.66</td>\n",
        "      <td>0.87</td>\n",
@@ -2100,6 +2418,7 @@
        "      <td>Fiserv Inc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.948895</td>\n",
+       "      <td>0.249903</td>\n",
        "      <td>71.58</td>\n",
        "      <td>1.71</td>\n",
        "      <td>0.80</td>\n",
@@ -2112,6 +2431,7 @@
        "      <td>Apple Inc.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.919063</td>\n",
+       "      <td>0.236049</td>\n",
        "      <td>25.66</td>\n",
        "      <td>12.66</td>\n",
        "      <td>1.29</td>\n",
@@ -2124,6 +2444,7 @@
        "      <td>Texas Instruments</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.886247</td>\n",
+       "      <td>0.224912</td>\n",
        "      <td>25.24</td>\n",
        "      <td>5.24</td>\n",
        "      <td>1.24</td>\n",
@@ -2136,6 +2457,7 @@
        "      <td>Salesforce.com</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.885841</td>\n",
+       "      <td>0.207470</td>\n",
        "      <td>200.68</td>\n",
        "      <td>0.95</td>\n",
        "      <td>1.19</td>\n",
@@ -2148,6 +2470,7 @@
        "      <td>Synopsys Inc.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.801366</td>\n",
+       "      <td>0.258979</td>\n",
        "      <td>47.31</td>\n",
        "      <td>3.45</td>\n",
        "      <td>1.18</td>\n",
@@ -2160,6 +2483,7 @@
        "      <td>Motorola Solutions Inc.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.785703</td>\n",
+       "      <td>0.231468</td>\n",
        "      <td>37.31</td>\n",
        "      <td>4.94</td>\n",
        "      <td>0.50</td>\n",
@@ -2172,6 +2496,7 @@
        "      <td>Microsoft Corp.</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.688151</td>\n",
+       "      <td>0.322501</td>\n",
        "      <td>32.28</td>\n",
        "      <td>5.74</td>\n",
        "      <td>1.15</td>\n",
@@ -2184,6 +2509,7 @@
        "      <td>Adobe Systems Inc</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>0.616060</td>\n",
+       "      <td>0.329761</td>\n",
        "      <td>63.17</td>\n",
        "      <td>6.01</td>\n",
        "      <td>1.09</td>\n",
@@ -2212,25 +2538,25 @@
        "60   MSFT            Microsoft Corp.  Information Technology      0.688151   \n",
        "1    ADBE          Adobe Systems Inc  Information Technology      0.616060   \n",
        "\n",
-       "    P/E ratio    EPS  beta        mkt cap      shares  \n",
-       "70      17.61   3.15  1.11   177928293945  3207649000  \n",
-       "34      19.49   6.54  0.98     7753118169    60804000  \n",
-       "41      59.34   2.57  1.21    13633532057    89453000  \n",
-       "7       30.89  49.16  1.02  1044236513876   299895000  \n",
-       "0       28.34   7.49  1.03   139515576338   656946000  \n",
-       "35      33.32   6.43  1.05   610509360122  2405746000  \n",
-       "14      32.04   5.66  0.87    78255412500   431754000  \n",
-       "38      71.58   1.71  0.80    83164756192   679895000  \n",
-       "12      25.66  12.66  1.29  1421812279411  4375480000  \n",
-       "85      25.24   5.24  1.24   123223956977   932032000  \n",
-       "79     200.68   0.95  1.19   168485647293   887000000  \n",
-       "83      47.31   3.45  1.18    24589893168   150535000  \n",
-       "63      37.31   4.94  0.50    31596072387   171336000  \n",
-       "60      32.28   5.74  1.15  1409780857873  7606047000  \n",
-       "1       63.17   6.01  1.09   185174936969   487726000  "
+       "    FFM returns  P/E ratio    EPS  beta        mkt cap      shares  \n",
+       "70     0.077350      17.61   3.15  1.11   177928293945  3207649000  \n",
+       "34     0.064989      19.49   6.54  0.98     7753118169    60804000  \n",
+       "41     0.165214      59.34   2.57  1.21    13633532057    89453000  \n",
+       "7      0.214640      30.89  49.16  1.02  1044236513876   299895000  \n",
+       "0      0.225818      28.34   7.49  1.03   139515576338   656946000  \n",
+       "35     0.238789      33.32   6.43  1.05   610509360122  2405746000  \n",
+       "14     0.183269      32.04   5.66  0.87    78255412500   431754000  \n",
+       "38     0.249903      71.58   1.71  0.80    83164756192   679895000  \n",
+       "12     0.236049      25.66  12.66  1.29  1421812279411  4375480000  \n",
+       "85     0.224912      25.24   5.24  1.24   123223956977   932032000  \n",
+       "79     0.207470     200.68   0.95  1.19   168485647293   887000000  \n",
+       "83     0.258979      47.31   3.45  1.18    24589893168   150535000  \n",
+       "63     0.231468      37.31   4.94  0.50    31596072387   171336000  \n",
+       "60     0.322501      32.28   5.74  1.15  1409780857873  7606047000  \n",
+       "1      0.329761      63.17   6.01  1.09   185174936969   487726000  "
       ]
      },
-     "execution_count": 45,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2243,7 +2569,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -2271,6 +2597,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2285,6 +2612,7 @@
        "      <td>LyondellBasell</td>\n",
        "      <td>Materials</td>\n",
        "      <td>2.072393</td>\n",
+       "      <td>0.103512</td>\n",
        "      <td>8.65</td>\n",
        "      <td>9.55</td>\n",
        "      <td>1.45</td>\n",
@@ -2297,6 +2625,7 @@
        "      <td>Newmont Mining Corporation</td>\n",
        "      <td>Materials</td>\n",
        "      <td>1.248661</td>\n",
+       "      <td>0.189686</td>\n",
        "      <td>15.83</td>\n",
        "      <td>2.78</td>\n",
        "      <td>0.16</td>\n",
@@ -2309,6 +2638,7 @@
        "      <td>Air Products &amp; Chemicals Inc</td>\n",
        "      <td>Materials</td>\n",
        "      <td>1.224824</td>\n",
+       "      <td>0.153161</td>\n",
        "      <td>30.09</td>\n",
        "      <td>8.51</td>\n",
        "      <td>0.86</td>\n",
@@ -2321,6 +2651,7 @@
        "      <td>Freeport-McMoRan Inc.</td>\n",
        "      <td>Materials</td>\n",
        "      <td>1.031316</td>\n",
+       "      <td>0.038646</td>\n",
        "      <td>78.35</td>\n",
        "      <td>0.16</td>\n",
        "      <td>2.42</td>\n",
@@ -2333,6 +2664,7 @@
        "      <td>Albemarle Corp</td>\n",
        "      <td>Materials</td>\n",
        "      <td>0.990292</td>\n",
+       "      <td>0.132207</td>\n",
        "      <td>16.67</td>\n",
        "      <td>5.38</td>\n",
        "      <td>1.57</td>\n",
@@ -2345,6 +2677,7 @@
        "      <td>FMC Corporation</td>\n",
        "      <td>Materials</td>\n",
        "      <td>0.889526</td>\n",
+       "      <td>0.193867</td>\n",
        "      <td>27.41</td>\n",
        "      <td>3.85</td>\n",
        "      <td>1.54</td>\n",
@@ -2356,24 +2689,24 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                          name     sector  sharpe ratio  P/E ratio  \\\n",
-       "55    LYB                LyondellBasell  Materials      2.072393       8.65   \n",
-       "65    NEM    Newmont Mining Corporation  Materials      1.248661      15.83   \n",
-       "4     APD  Air Products & Chemicals Inc  Materials      1.224824      30.09   \n",
-       "40    FCX         Freeport-McMoRan Inc.  Materials      1.031316      78.35   \n",
-       "5     ALB                Albemarle Corp  Materials      0.990292      16.67   \n",
-       "39    FMC               FMC Corporation  Materials      0.889526      27.41   \n",
+       "   ticker                          name     sector  sharpe ratio  FFM returns  \\\n",
+       "55    LYB                LyondellBasell  Materials      2.072393     0.103512   \n",
+       "65    NEM    Newmont Mining Corporation  Materials      1.248661     0.189686   \n",
+       "4     APD  Air Products & Chemicals Inc  Materials      1.224824     0.153161   \n",
+       "40    FCX         Freeport-McMoRan Inc.  Materials      1.031316     0.038646   \n",
+       "5     ALB                Albemarle Corp  Materials      0.990292     0.132207   \n",
+       "39    FMC               FMC Corporation  Materials      0.889526     0.193867   \n",
        "\n",
-       "     EPS  beta      mkt cap      shares  \n",
-       "55  9.55  1.45  27505799491   333000000  \n",
-       "65  2.78  0.16  36130286851   819839000  \n",
-       "4   8.51  0.86  56495776935   220678000  \n",
-       "40  0.16  2.42  17759187027  1450914000  \n",
-       "5   5.38  1.57   9504798055   106033000  \n",
-       "39  3.85  1.54  13670494208   129615000  "
+       "    P/E ratio   EPS  beta      mkt cap      shares  \n",
+       "55       8.65  9.55  1.45  27505799491   333000000  \n",
+       "65      15.83  2.78  0.16  36130286851   819839000  \n",
+       "4       30.09  8.51  0.86  56495776935   220678000  \n",
+       "40      78.35  0.16  2.42  17759187027  1450914000  \n",
+       "5       16.67  5.38  1.57   9504798055   106033000  \n",
+       "39      27.41  3.85  1.54  13670494208   129615000  "
       ]
      },
-     "execution_count": 46,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2386,7 +2719,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -2414,6 +2747,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2428,6 +2762,7 @@
        "      <td>Host Hotels &amp; Resorts</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>2.308137</td>\n",
+       "      <td>0.052833</td>\n",
        "      <td>10.89</td>\n",
        "      <td>1.55</td>\n",
        "      <td>1.17</td>\n",
@@ -2440,6 +2775,7 @@
        "      <td>Iron Mountain Incorporated</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>2.233518</td>\n",
+       "      <td>0.073061</td>\n",
        "      <td>35.67</td>\n",
        "      <td>0.93</td>\n",
        "      <td>0.53</td>\n",
@@ -2452,6 +2788,7 @@
        "      <td>Equity Residential</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>2.158996</td>\n",
+       "      <td>0.089495</td>\n",
        "      <td>34.53</td>\n",
        "      <td>2.50</td>\n",
        "      <td>0.45</td>\n",
@@ -2464,6 +2801,7 @@
        "      <td>Crown Castle International Corp.</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>1.281977</td>\n",
+       "      <td>0.163975</td>\n",
        "      <td>83.64</td>\n",
        "      <td>1.98</td>\n",
        "      <td>0.30</td>\n",
@@ -2481,14 +2819,14 @@
        "32    EQR                Equity Residential  Real Estate      2.158996   \n",
        "28    CCI  Crown Castle International Corp.  Real Estate      1.281977   \n",
        "\n",
-       "    P/E ratio   EPS  beta      mkt cap     shares  \n",
-       "49      10.89  1.55  1.17  12127479870  717178000  \n",
-       "52      35.67  0.93  0.53   9521121824  287300000  \n",
-       "32      34.53  2.50  0.45  32134657027  371671000  \n",
-       "28      83.64  1.98  0.30  69005081855  415768000  "
+       "    FFM returns  P/E ratio   EPS  beta      mkt cap     shares  \n",
+       "49     0.052833      10.89  1.55  1.17  12127479870  717178000  \n",
+       "52     0.073061      35.67  0.93  0.53   9521121824  287300000  \n",
+       "32     0.089495      34.53  2.50  0.45  32134657027  371671000  \n",
+       "28     0.163975      83.64  1.98  0.30  69005081855  415768000  "
       ]
      },
-     "execution_count": 51,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2501,7 +2839,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -2529,6 +2867,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2543,6 +2882,7 @@
        "      <td>PPL Corp.</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>2.755488</td>\n",
+       "      <td>0.098239</td>\n",
        "      <td>14.38</td>\n",
        "      <td>2.46</td>\n",
        "      <td>0.51</td>\n",
@@ -2555,6 +2895,7 @@
        "      <td>FirstEnergy Corp</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.510567</td>\n",
+       "      <td>0.129910</td>\n",
        "      <td>31.45</td>\n",
        "      <td>1.66</td>\n",
        "      <td>0.20</td>\n",
@@ -2567,6 +2908,7 @@
        "      <td>Alliant Energy Corp</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.366718</td>\n",
+       "      <td>0.166244</td>\n",
        "      <td>26.79</td>\n",
        "      <td>2.23</td>\n",
        "      <td>0.23</td>\n",
@@ -2579,6 +2921,7 @@
        "      <td>CenterPoint Energy</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.361230</td>\n",
+       "      <td>0.121502</td>\n",
        "      <td>21.58</td>\n",
        "      <td>1.26</td>\n",
        "      <td>0.44</td>\n",
@@ -2591,6 +2934,7 @@
        "      <td>AES Corp</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>1.182641</td>\n",
+       "      <td>0.162654</td>\n",
        "      <td>27.44</td>\n",
        "      <td>0.76</td>\n",
        "      <td>1.05</td>\n",
@@ -2603,6 +2947,7 @@
        "      <td>NextEra Energy</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>0.928683</td>\n",
+       "      <td>0.227986</td>\n",
        "      <td>34.73</td>\n",
        "      <td>8.02</td>\n",
        "      <td>0.15</td>\n",
@@ -2615,6 +2960,7 @@
        "      <td>NRG Energy</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>0.692217</td>\n",
+       "      <td>0.208670</td>\n",
        "      <td>10.31</td>\n",
        "      <td>3.89</td>\n",
        "      <td>0.71</td>\n",
@@ -2626,26 +2972,26 @@
        "</div>"
       ],
       "text/plain": [
-       "   ticker                 name     sector  sharpe ratio  P/E ratio   EPS  \\\n",
-       "73    PPL            PPL Corp.  Utilities      2.755488      14.38  2.46   \n",
-       "37     FE     FirstEnergy Corp  Utilities      1.510567      31.45  1.66   \n",
-       "6     LNT  Alliant Energy Corp  Utilities      1.366718      26.79  2.23   \n",
-       "23    CNP   CenterPoint Energy  Utilities      1.361230      21.58  1.26   \n",
-       "2     AES             AES Corp  Utilities      1.182641      27.44  0.76   \n",
-       "66    NEE       NextEra Energy  Utilities      0.928683      34.73  8.02   \n",
-       "67    NRG           NRG Energy  Utilities      0.692217      10.31  3.89   \n",
+       "   ticker                 name     sector  sharpe ratio  FFM returns  \\\n",
+       "73    PPL            PPL Corp.  Utilities      2.755488     0.098239   \n",
+       "37     FE     FirstEnergy Corp  Utilities      1.510567     0.129910   \n",
+       "6     LNT  Alliant Energy Corp  Utilities      1.366718     0.166244   \n",
+       "23    CNP   CenterPoint Energy  Utilities      1.361230     0.121502   \n",
+       "2     AES             AES Corp  Utilities      1.182641     0.162654   \n",
+       "66    NEE       NextEra Energy  Utilities      0.928683     0.227986   \n",
+       "67    NRG           NRG Energy  Utilities      0.692217     0.208670   \n",
        "\n",
-       "    beta       mkt cap     shares  \n",
-       "73  0.51   25573676437  723033000  \n",
-       "37  0.20   28241486749  540714000  \n",
-       "6   0.23   14358652779  244628000  \n",
-       "23  0.44   13650929559  502242000  \n",
-       "2   1.05   13895280692  663893000  \n",
-       "66  0.15  136133886150  488776000  \n",
-       "67  0.71   10078855985  251594000  "
+       "    P/E ratio   EPS  beta       mkt cap     shares  \n",
+       "73      14.38  2.46  0.51   25573676437  723033000  \n",
+       "37      31.45  1.66  0.20   28241486749  540714000  \n",
+       "6       26.79  2.23  0.23   14358652779  244628000  \n",
+       "23      21.58  1.26  0.44   13650929559  502242000  \n",
+       "2       27.44  0.76  1.05   13895280692  663893000  \n",
+       "66      34.73  8.02  0.15  136133886150  488776000  \n",
+       "67      10.31  3.89  0.71   10078855985  251594000  "
       ]
      },
-     "execution_count": 52,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2658,7 +3004,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -2686,6 +3032,7 @@
        "      <th>name</th>\n",
        "      <th>sector</th>\n",
        "      <th>sharpe ratio</th>\n",
+       "      <th>FFM returns</th>\n",
        "      <th>P/E ratio</th>\n",
        "      <th>EPS</th>\n",
        "      <th>beta</th>\n",
@@ -2700,6 +3047,7 @@
        "      <td>Genuine Parts</td>\n",
        "      <td>Consumer Discretionary</td>\n",
        "      <td>2.924464</td>\n",
+       "      <td>0.074228</td>\n",
        "      <td>17.71</td>\n",
        "      <td>5.45</td>\n",
        "      <td>0.89</td>\n",
@@ -2712,6 +3060,7 @@
        "      <td>General Mills</td>\n",
        "      <td>Consumer Staples</td>\n",
        "      <td>2.641281</td>\n",
+       "      <td>0.063147</td>\n",
        "      <td>15.34</td>\n",
        "      <td>3.48</td>\n",
        "      <td>0.73</td>\n",
@@ -2724,6 +3073,7 @@
        "      <td>Cabot Oil &amp; Gas</td>\n",
        "      <td>Energy</td>\n",
        "      <td>1.952983</td>\n",
+       "      <td>-0.050017</td>\n",
        "      <td>7.80</td>\n",
        "      <td>1.90</td>\n",
        "      <td>0.47</td>\n",
@@ -2736,6 +3086,7 @@
        "      <td>Synchrony Financial</td>\n",
        "      <td>Financials</td>\n",
        "      <td>2.493336</td>\n",
+       "      <td>0.091836</td>\n",
        "      <td>6.07</td>\n",
        "      <td>5.56</td>\n",
        "      <td>1.21</td>\n",
@@ -2748,6 +3099,7 @@
        "      <td>Amgen Inc</td>\n",
        "      <td>Health Care</td>\n",
        "      <td>1.861649</td>\n",
+       "      <td>0.151749</td>\n",
        "      <td>17.36</td>\n",
        "      <td>12.88</td>\n",
        "      <td>1.12</td>\n",
@@ -2760,6 +3112,7 @@
        "      <td>Southwest Airlines</td>\n",
        "      <td>Industrials</td>\n",
        "      <td>1.726576</td>\n",
+       "      <td>0.107833</td>\n",
        "      <td>13.77</td>\n",
        "      <td>4.21</td>\n",
        "      <td>1.47</td>\n",
@@ -2772,6 +3125,7 @@
        "      <td>Alphabet Inc Class A</td>\n",
        "      <td>Information Technology</td>\n",
        "      <td>1.198026</td>\n",
+       "      <td>0.214640</td>\n",
        "      <td>30.89</td>\n",
        "      <td>49.16</td>\n",
        "      <td>1.02</td>\n",
@@ -2784,6 +3138,7 @@
        "      <td>LyondellBasell</td>\n",
        "      <td>Materials</td>\n",
        "      <td>2.072393</td>\n",
+       "      <td>0.103512</td>\n",
        "      <td>8.65</td>\n",
        "      <td>9.55</td>\n",
        "      <td>1.45</td>\n",
@@ -2796,6 +3151,7 @@
        "      <td>Host Hotels &amp; Resorts</td>\n",
        "      <td>Real Estate</td>\n",
        "      <td>2.308137</td>\n",
+       "      <td>0.052833</td>\n",
        "      <td>10.89</td>\n",
        "      <td>1.55</td>\n",
        "      <td>1.17</td>\n",
@@ -2808,6 +3164,7 @@
        "      <td>PPL Corp.</td>\n",
        "      <td>Utilities</td>\n",
        "      <td>2.755488</td>\n",
+       "      <td>0.098239</td>\n",
        "      <td>14.38</td>\n",
        "      <td>2.46</td>\n",
        "      <td>0.51</td>\n",
@@ -2831,20 +3188,20 @@
        "8    HST  Host Hotels & Resorts             Real Estate      2.308137   \n",
        "9    PPL              PPL Corp.               Utilities      2.755488   \n",
        "\n",
-       "   P/E ratio    EPS  beta        mkt cap     shares  \n",
-       "0      17.71   5.45  0.89    14016415887  145293000  \n",
-       "1      15.34   3.48  0.73    32242795100  604817000  \n",
-       "2       7.80   1.90  0.47     6037284157  407925000  \n",
-       "3       6.07   5.56  1.21    20704848750  613477000  \n",
-       "4      17.36  12.88  1.12   131810065840  589807000  \n",
-       "5      13.77   4.21  1.47    29987649751  517296000  \n",
-       "6      30.89  49.16  1.02  1044236513876  299895000  \n",
-       "7       8.65   9.55  1.45    27505799491  333000000  \n",
-       "8      10.89   1.55  1.17    12127479870  717178000  \n",
-       "9      14.38   2.46  0.51    25573676437  723033000  "
+       "   FFM returns  P/E ratio    EPS  beta        mkt cap     shares  \n",
+       "0     0.074228      17.71   5.45  0.89    14016415887  145293000  \n",
+       "1     0.063147      15.34   3.48  0.73    32242795100  604817000  \n",
+       "2    -0.050017       7.80   1.90  0.47     6037284157  407925000  \n",
+       "3     0.091836       6.07   5.56  1.21    20704848750  613477000  \n",
+       "4     0.151749      17.36  12.88  1.12   131810065840  589807000  \n",
+       "5     0.107833      13.77   4.21  1.47    29987649751  517296000  \n",
+       "6     0.214640      30.89  49.16  1.02  1044236513876  299895000  \n",
+       "7     0.103512       8.65   9.55  1.45    27505799491  333000000  \n",
+       "8     0.052833      10.89   1.55  1.17    12127479870  717178000  \n",
+       "9     0.098239      14.38   2.46  0.51    25573676437  723033000  "
       ]
      },
-     "execution_count": 66,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/selection_data.csv b/selection_data.csv
index 1ca7832..78a1164 100644
--- a/selection_data.csv
+++ b/selection_data.csv
@@ -1,93 +1,93 @@
-ticker,name,sector,sharpe ratio,P/E ratio,EPS,beta,mkt cap,shares
-ACN,Accenture plc,Information Technology,1.113857669340631,28.34,7.49,1.03,139515576338,656946000
-ADBE,Adobe Systems Inc,Information Technology,0.6160597494509739,63.17,6.01,1.09,185174936969,487726000
-AES,AES Corp,Utilities,1.1826406099615412,27.44,0.76,1.05,13895280692,663893000
-AMG,Affiliated Managers Group Inc,Financials,1.0979859640832188,267.18,0.31,1.69,4084648875,49272000
-APD,Air Products & Chemicals Inc,Materials,1.2248244816385878,30.09,8.51,0.86,56495776935,220678000
-ALB,Albemarle Corp,Materials,0.9902917360691272,16.67,5.38,1.57,9504798055,106033000
-LNT,Alliant Energy Corp,Utilities,1.366717870072912,26.79,2.23,0.23,14358652779,244628000
-GOOGL,Alphabet Inc Class A,Information Technology,1.1980263475215909,30.89,49.16,1.02,1044236513876,299895000
-AXP,American Express Co,Financials,1.2144084830799449,17.01,7.99,0.99,111178449600,808041000
-ABC,AmerisourceBergen Corp,Health Care,2.824204459596733,30.62,3.08,1.01,19427969245,205892000
-AMGN,Amgen Inc,Health Care,1.8616491950461436,17.36,12.88,1.12,131810065840,589807000
-AON,Aon plc,Financials,1.1043185924986845,37.0,6.37,0.83,54701475530,234137000
-AAPL,Apple Inc.,Information Technology,0.9190627984536254,25.66,12.66,1.29,1421812279411,4375480000
-AJG,Arthur J. Gallagher & Co.,Financials,0.9671115946025484,31.03,3.52,0.76,20549043209,188247000
-ADP,Automatic Data Processing,Information Technology,1.0045789926171458,32.04,5.66,0.87,78255412500,431754000
-BBY,Best Buy Co. Inc.,Consumer Discretionary,0.8239151677600225,15.98,5.64,1.12,23344272933,258777000
-HRB,Block H&R,Financials,2.2106749521427664,11.75,1.9,0.23,4369605316,195246000
-BWA,BorgWarner,Consumer Discretionary,1.6822710938226986,9.2,3.71,1.91,7048901814,206410000
-BSX,Boston Scientific,Health Care,0.933786790381214,12.7,3.33,0.87,58972695354,1393824000
-BMY,Bristol-Myers Squibb,Health Care,2.6885152748619983,33.05,2.01,0.76,155607591281,2344185000
-COG,Cabot Oil & Gas,Energy,1.9529827367707384,7.8,1.9,0.47,6037284157,407925000
-COF,Capital One Financial,Financials,2.0347637955056546,9.31,11.02,1.25,46865423721,456600000
-KMX,Carmax Inc,Consumer Discretionary,1.703158159266752,19.16,5.16,1.1,16144071451,163385000
-CNP,CenterPoint Energy,Utilities,1.3612303069648497,21.58,1.26,0.44,13650929559,502242000
-CINF,Cincinnati Financial,Financials,1.121373755776759,9.52,12.1,0.57,18822318390,163374000
-CTAS,Cintas Corporation,Industrials,0.7031855337517299,35.38,8.51,0.99,31216601386,103751000
-KO,Coca-Cola Company (The),Consumer Staples,2.1971578395739524,28.99,2.07,0.41,256586003265,4280000000
-COST,Costco Wholesale Corp.,Consumer Staples,1.0606439166888946,37.75,8.43,0.9,140615987901,441758000
-CCI,Crown Castle International Corp.,Real Estate,1.28197687434905,83.64,1.98,0.3,69005081855,415768000
-CVS,CVS Health,Consumer Staples,1.7079627340498365,14.05,5.08,0.93,92849804253,1300964000
-DISCK,Discovery Communications-C,Consumer Discretionary,2.3096592718590108,11.1,2.59,1.45,15392873644,360664000
-ETN,Eaton Corporation,Industrials,1.6047656571399305,19.71,5.25,1.42,42807571261,413400000
-EQR,Equity Residential,Real Estate,2.1589960066234664,34.53,2.5,0.45,32134657027,371671000
-EXPE,Expedia Inc.,Consumer Discretionary,2.407311381193101,32.58,3.77,1.01,17792025802,139363000
-FFIV,F5 Networks,Information Technology,1.7013819459588144,19.49,6.54,0.98,7753118169,60804000
-FB,"Facebook, Inc.",Information Technology,1.1057666021536463,33.32,6.43,1.05,610509360122,2405746000
-FDX,FedEx Corporation,Industrials,1.5098202059987225,583.74,0.27,1.71,41418694505,261119000
-FE,FirstEnergy Corp,Utilities,1.510567029063732,31.45,1.66,0.2,28241486749,540714000
-FISV,Fiserv Inc,Information Technology,0.9488954080578804,71.58,1.71,0.8,83164756192,679895000
-FMC,FMC Corporation,Materials,0.8895256452785432,27.41,3.85,1.54,13670494208,129615000
-FCX,Freeport-McMoRan Inc.,Materials,1.0313162803944909,78.35,0.16,2.42,17759187027,1450914000
-IT,Gartner Inc,Information Technology,1.3373284476702674,59.34,2.57,1.21,13633532057,89453000
-GIS,General Mills,Consumer Staples,2.6412807761987938,15.34,3.48,0.73,32242795100,604817000
-GM,General Motors,Consumer Discretionary,1.9037211165069965,7.6,4.57,1.38,49672072361,1429002000
-GPC,Genuine Parts,Consumer Discretionary,2.9244641954801547,17.71,5.45,0.89,14016415887,145293000
-GS,Goldman Sachs Group,Financials,1.8288212830340496,11.27,21.03,1.32,83946946608,354087000
-GWW,Grainger (W.W.) Inc.,Industrials,1.3581101466189422,17.94,17.15,0.97,16517112872,53688000
-HLT,Hilton Worldwide Holdings Inc,Consumer Discretionary,1.0598993481607704,37.27,3.04,1.14,31415437971,277448000
-HOLX,Hologic,Health Care,2.425411589403344,173.01,0.31,0.85,13960272160,263302000
-HST,Host Hotels & Resorts,Real Estate,2.308137021714921,10.89,1.55,1.17,12127479870,717178000
-HII,Huntington Ingalls Industries,Industrials,1.1543380976790991,18.57,13.26,1.24,10035519873,40760000
-INCY,Incyte,Health Care,1.2682583277151145,38.21,2.05,1.06,17006076538,216776000
-IRM,Iron Mountain Incorporated,Real Estate,2.2335183274879347,35.67,0.93,0.53,9521121824,287300000
-KMI,Kinder Morgan,Energy,1.0384695673083184,22.87,0.96,0.81,49831386000,2265063000
-LKQ,LKQ Corporation,Consumer Discretionary,2.216065603315,23.73,1.4,1.3,10174538633,306462000
-LYB,LyondellBasell,Materials,2.072392824468477,8.65,9.55,1.45,27505799491,333000000
-M,Macy's Inc.,Consumer Discretionary,0.8264829931760201,5.39,3.09,0.66,5150446573,308965000
-MDT,Medtronic plc,Health Care,1.9179209088058464,33.97,3.45,0.6,157266553194,1340378000
-MRK,Merck & Co.,Health Care,1.3680581566358117,21.52,3.84,0.57,210425581484,2545984000
-MTD,Mettler Toledo,Health Care,0.9692418639176908,33.97,22.47,1.39,18357249893,24053000
-MSFT,Microsoft Corp.,Information Technology,0.6881506526553905,32.28,5.74,1.15,1409780857873,7606047000
-MHK,Mohawk Industries,Consumer Discretionary,1.2551682079723412,13.4,10.3,1.36,9882403253,71622000
-MCO,Moody's Corp,Financials,0.927983578033472,37.43,7.42,1.21,52148688479,187700000
-MSI,Motorola Solutions Inc.,Information Technology,0.7857028051967873,37.31,4.94,0.5,31596072387,171336000
-MYL,Mylan N.V.,Health Care,0.8932799452587622,239.58,0.09,1.72,11303303743,516177000
-NEM,Newmont Mining Corporation,Materials,1.2486611843780435,15.83,2.78,0.16,36130286851,819839000
-NEE,NextEra Energy,Utilities,0.9286832114176752,34.73,8.02,0.15,136133886150,488776000
-NRG,NRG Energy,Utilities,0.6922170062921974,10.31,3.89,0.71,10078855985,251594000
-OXY,Occidental Petroleum,Energy,2.054770999686784,29.53,1.41,0.9,37161985836,893317000
-OKE,ONEOK,Energy,0.9173258155980414,25.56,3.01,1.11,31799253894,413085000
-ORCL,Oracle Corp.,Information Technology,1.9496194449404018,17.61,3.15,1.11,177928293945,3207649000
-PEP,PepsiCo Inc.,Consumer Staples,1.9512497779197016,28.31,5.19,0.53,204968008309,1389545000
-RL,Polo Ralph Lauren Corp.,Consumer Discretionary,1.6850277667707554,14.16,8.61,0.9,8984857815,48862000
-PPL,PPL Corp.,Utilities,2.7554877393877537,14.38,2.46,0.51,25573676437,723033000
-PHM,Pulte Homes Inc.,Consumer Discretionary,1.1252252514376082,12.77,3.66,0.56,12605132379,269975000
-RJF,Raymond James Financial Inc.,Financials,1.2811378025870532,13.44,7.36,1.5,13782151374,139284000
-RTN,Raytheon Co.,Industrials,1.158337993905323,19.05,11.93,0.85,63256224340,278441000
-RMD,ResMed,Health Care,0.834963320137938,56.31,3.14,0.48,25539363082,144617000
-RCL,Royal Caribbean Cruises Ltd,Consumer Discretionary,1.3470625587214564,12.55,9.02,1.44,23627921924,208801000
-CRM,Salesforce.com,Information Technology,0.8858414532311987,200.68,0.95,1.19,168485647293,887000000
-LUV,Southwest Airlines,Industrials,1.7265757683369565,13.77,4.21,1.47,29987649751,517296000
-SBUX,Starbucks Corp.,Consumer Discretionary,1.3884881607519866,29.15,3.06,0.56,104787934567,1173700000
-SYF,Synchrony Financial,Financials,2.4933359586834767,6.07,5.56,1.21,20704848750,613477000
-SNPS,Synopsys Inc.,Information Technology,0.8013663430252196,47.31,3.45,1.18,24589893168,150535000
-TGT,Target Corp.,Consumer Discretionary,1.340881991913131,18.64,6.26,0.56,59100734918,506737000
-TXN,Texas Instruments,Information Technology,0.8862468117623082,25.24,5.24,1.24,123223956977,932032000
-HSY,The Hershey Company,Consumer Staples,1.4696819942330823,29.33,5.47,0.02,23779704176,148308000
-TMO,Thermo Fisher Scientific,Health Care,0.9572371356767688,36.98,9.17,1.14,136012138268,400991000
-UNH,United Health Group Inc.,Health Care,0.8928925321222835,20.86,14.33,0.69,283068652543,947415000
-VFC,V.F. Corp.,Consumer Discretionary,1.3232414086548459,25.99,3.22,1.2,33022293377,394720000
-WMT,Wal-Mart Stores,Consumer Staples,1.2710964130621618,23.55,5.0,0.36,334474559018,2837175000
-WBA,Walgreens Boots Alliance,Consumer Staples,2.224201311650672,13.0,4.07,0.92,46817805348,885862000
+ticker,name,sector,sharpe ratio,FFM returns,P/E ratio,EPS,beta,mkt cap,shares
+ACN,Accenture plc,Information Technology,1.113857669340631,0.225818128,28.34,7.49,1.03,139515576338,656946000
+ADBE,Adobe Systems Inc,Information Technology,0.6160597494509739,0.329761028,63.17,6.01,1.09,185174936969,487726000
+AES,AES Corp,Utilities,1.1826406099615412,0.162653808,27.44,0.76,1.05,13895280692,663893000
+AMG,Affiliated Managers Group Inc,Financials,1.0979859640832188,-0.13879823300000002,267.18,0.31,1.69,4084648875,49272000
+APD,Air Products & Chemicals Inc,Materials,1.2248244816385878,0.153160881,30.09,8.51,0.86,56495776935,220678000
+ALB,Albemarle Corp,Materials,0.9902917360691272,0.132207229,16.67,5.38,1.57,9504798055,106033000
+LNT,Alliant Energy Corp,Utilities,1.366717870072912,0.166244327,26.79,2.23,0.23,14358652779,244628000
+GOOGL,Alphabet Inc Class A,Information Technology,1.1980263475215909,0.214639843,30.89,49.16,1.02,1044236513876,299895000
+AXP,American Express Co,Financials,1.2144084830799449,0.132252227,17.01,7.99,0.99,111178449600,808041000
+ABC,AmerisourceBergen Corp,Health Care,2.824204459596733,0.018486986,30.62,3.08,1.01,19427969245,205892000
+AMGN,Amgen Inc,Health Care,1.8616491950461436,0.151748658,17.36,12.88,1.12,131810065840,589807000
+AON,Aon plc,Financials,1.1043185924986845,0.183167419,37.0,6.37,0.83,54701475530,234137000
+AAPL,Apple Inc.,Information Technology,0.9190627984536254,0.236049322,25.66,12.66,1.29,1421812279411,4375480000
+AJG,Arthur J. Gallagher & Co.,Financials,0.9671115946025484,0.195583018,31.03,3.52,0.76,20549043209,188247000
+ADP,Automatic Data Processing,Information Technology,1.0045789926171458,0.18326947600000001,32.04,5.66,0.87,78255412500,431754000
+BBY,Best Buy Co. Inc.,Consumer Discretionary,0.8239151677600225,0.264073092,15.98,5.64,1.12,23344272933,258777000
+HRB,Block H&R,Financials,2.2106749521427664,0.001103738,11.75,1.9,0.23,4369605316,195246000
+BWA,BorgWarner,Consumer Discretionary,1.6822710938226986,-0.008936781,9.2,3.71,1.91,7048901814,206410000
+BSX,Boston Scientific,Health Care,0.933786790381214,0.23386062100000002,12.7,3.33,0.87,58972695354,1393824000
+BMY,Bristol-Myers Squibb,Health Care,2.6885152748619983,0.083176807,33.05,2.01,0.76,155607591281,2344185000
+COG,Cabot Oil & Gas,Energy,1.9529827367707384,-0.050016632000000005,7.8,1.9,0.47,6037284157,407925000
+COF,Capital One Financial,Financials,2.0347637955056546,0.11610429900000001,9.31,11.02,1.25,46865423721,456600000
+KMX,Carmax Inc,Consumer Discretionary,1.703158159266752,0.099285234,19.16,5.16,1.1,16144071451,163385000
+CNP,CenterPoint Energy,Utilities,1.3612303069648497,0.121501687,21.58,1.26,0.44,13650929559,502242000
+CINF,Cincinnati Financial,Financials,1.121373755776759,0.199837867,9.52,12.1,0.57,18822318390,163374000
+CTAS,Cintas Corporation,Industrials,0.7031855337517299,0.2859733,35.38,8.51,0.99,31216601386,103751000
+KO,Coca-Cola Company (The),Consumer Staples,2.1971578395739524,0.103820149,28.99,2.07,0.41,256586003265,4280000000
+COST,Costco Wholesale Corp.,Consumer Staples,1.0606439166888946,0.19212997399999998,37.75,8.43,0.9,140615987901,441758000
+CCI,Crown Castle International Corp.,Real Estate,1.28197687434905,0.163975237,83.64,1.98,0.3,69005081855,415768000
+CVS,CVS Health,Consumer Staples,1.7079627340498365,-0.010387317,14.05,5.08,0.93,92849804253,1300964000
+DISCK,Discovery Communications-C,Consumer Discretionary,2.3096592718590108,0.061552496,11.1,2.59,1.45,15392873644,360664000
+ETN,Eaton Corporation,Industrials,1.6047656571399305,0.128998261,19.71,5.25,1.42,42807571261,413400000
+EQR,Equity Residential,Real Estate,2.1589960066234664,0.08949458,34.53,2.5,0.45,32134657027,371671000
+EXPE,Expedia Inc.,Consumer Discretionary,2.407311381193101,0.086285553,32.58,3.77,1.01,17792025802,139363000
+FFIV,F5 Networks,Information Technology,1.7013819459588144,0.06498939599999999,19.49,6.54,0.98,7753118169,60804000
+FB,"Facebook, Inc.",Information Technology,1.1057666021536463,0.23878909399999998,33.32,6.43,1.05,610509360122,2405746000
+FDX,FedEx Corporation,Industrials,1.5098202059987225,0.02425391,583.74,0.27,1.71,41418694505,261119000
+FE,FirstEnergy Corp,Utilities,1.510567029063732,0.129909559,31.45,1.66,0.2,28241486749,540714000
+FISV,Fiserv Inc,Information Technology,0.9488954080578804,0.249902978,71.58,1.71,0.8,83164756192,679895000
+FMC,FMC Corporation,Materials,0.8895256452785432,0.193866857,27.41,3.85,1.54,13670494208,129615000
+FCX,Freeport-McMoRan Inc.,Materials,1.0313162803944909,0.038646264,78.35,0.16,2.42,17759187027,1450914000
+IT,Gartner Inc,Information Technology,1.3373284476702674,0.165213744,59.34,2.57,1.21,13633532057,89453000
+GIS,General Mills,Consumer Staples,2.6412807761987938,0.063146888,15.34,3.48,0.73,32242795100,604817000
+GM,General Motors,Consumer Discretionary,1.9037211165069965,0.08449462,7.6,4.57,1.38,49672072361,1429002000
+GPC,Genuine Parts,Consumer Discretionary,2.9244641954801547,0.074228025,17.71,5.45,0.89,14016415887,145293000
+GS,Goldman Sachs Group,Financials,1.8288212830340496,0.09991453900000001,11.27,21.03,1.32,83946946608,354087000
+GWW,Grainger (W.W.) Inc.,Industrials,1.3581101466189422,0.143753783,17.94,17.15,0.97,16517112872,53688000
+HLT,Hilton Worldwide Holdings Inc,Consumer Discretionary,1.0598993481607704,0.17104685100000003,37.27,3.04,1.14,31415437971,277448000
+HOLX,Hologic,Health Care,2.425411589403344,0.12996771199999999,173.01,0.31,0.85,13960272160,263302000
+HST,Host Hotels & Resorts,Real Estate,2.308137021714921,0.052833242,10.89,1.55,1.17,12127479870,717178000
+HII,Huntington Ingalls Industries,Industrials,1.1543380976790991,0.172309762,18.57,13.26,1.24,10035519873,40760000
+INCY,Incyte,Health Care,1.2682583277151145,0.076793095,38.21,2.05,1.06,17006076538,216776000
+IRM,Iron Mountain Incorporated,Real Estate,2.2335183274879347,0.07306073099999999,35.67,0.93,0.53,9521121824,287300000
+KMI,Kinder Morgan,Energy,1.0384695673083184,-0.038511214,22.87,0.96,0.81,49831386000,2265063000
+LKQ,LKQ Corporation,Consumer Discretionary,2.216065603315,0.12177166099999999,23.73,1.4,1.3,10174538633,306462000
+LYB,LyondellBasell,Materials,2.072392824468477,0.103512466,8.65,9.55,1.45,27505799491,333000000
+M,Macy's Inc.,Consumer Discretionary,0.8264829931760201,-0.12659805,5.39,3.09,0.66,5150446573,308965000
+MDT,Medtronic plc,Health Care,1.9179209088058464,0.12421349,33.97,3.45,0.6,157266553194,1340378000
+MRK,Merck & Co.,Health Care,1.3680581566358117,0.147015861,21.52,3.84,0.57,210425581484,2545984000
+MTD,Mettler Toledo,Health Care,0.9692418639176908,0.23289527,33.97,22.47,1.39,18357249893,24053000
+MSFT,Microsoft Corp.,Information Technology,0.6881506526553905,0.32250065,32.28,5.74,1.15,1409780857873,7606047000
+MHK,Mohawk Industries,Consumer Discretionary,1.2551682079723412,-0.016397061,13.4,10.3,1.36,9882403253,71622000
+MCO,Moody's Corp,Financials,0.927983578033472,0.234858117,37.43,7.42,1.21,52148688479,187700000
+MSI,Motorola Solutions Inc.,Information Technology,0.7857028051967873,0.231468305,37.31,4.94,0.5,31596072387,171336000
+MYL,Mylan N.V.,Health Care,0.8932799452587622,-0.130828848,239.58,0.09,1.72,11303303743,516177000
+NEM,Newmont Mining Corporation,Materials,1.2486611843780435,0.18968579600000002,15.83,2.78,0.16,36130286851,819839000
+NEE,NextEra Energy,Utilities,0.9286832114176752,0.227986191,34.73,8.02,0.15,136133886150,488776000
+NRG,NRG Energy,Utilities,0.6922170062921974,0.20866969600000002,10.31,3.89,0.71,10078855985,251594000
+OXY,Occidental Petroleum,Energy,2.054770999686784,-0.042821394000000006,29.53,1.41,0.9,37161985836,893317000
+OKE,ONEOK,Energy,0.9173258155980414,0.230147782,25.56,3.01,1.11,31799253894,413085000
+ORCL,Oracle Corp.,Information Technology,1.9496194449404018,0.077350148,17.61,3.15,1.11,177928293945,3207649000
+PEP,PepsiCo Inc.,Consumer Staples,1.9512497779197016,0.117935265,28.31,5.19,0.53,204968008309,1389545000
+RL,Polo Ralph Lauren Corp.,Consumer Discretionary,1.6850277667707554,0.046267077000000004,14.16,8.61,0.9,8984857815,48862000
+PPL,PPL Corp.,Utilities,2.7554877393877537,0.098239274,14.38,2.46,0.51,25573676437,723033000
+PHM,Pulte Homes Inc.,Consumer Discretionary,1.1252252514376082,0.16513204,12.77,3.66,0.56,12605132379,269975000
+RJF,Raymond James Financial Inc.,Financials,1.2811378025870532,0.1550463,13.44,7.36,1.5,13782151374,139284000
+RTN,Raytheon Co.,Industrials,1.158337993905323,0.19479614,19.05,11.93,0.85,63256224340,278441000
+RMD,ResMed,Health Care,0.834963320137938,0.23631678,56.31,3.14,0.48,25539363082,144617000
+RCL,Royal Caribbean Cruises Ltd,Consumer Discretionary,1.3470625587214564,0.195659444,12.55,9.02,1.44,23627921924,208801000
+CRM,Salesforce.com,Information Technology,0.8858414532311987,0.207470204,200.68,0.95,1.19,168485647293,887000000
+LUV,Southwest Airlines,Industrials,1.7265757683369565,0.10783286199999999,13.77,4.21,1.47,29987649751,517296000
+SBUX,Starbucks Corp.,Consumer Discretionary,1.3884881607519866,0.177744967,29.15,3.06,0.56,104787934567,1173700000
+SYF,Synchrony Financial,Financials,2.4933359586834767,0.091836098,6.07,5.56,1.21,20704848750,613477000
+SNPS,Synopsys Inc.,Information Technology,0.8013663430252196,0.258978767,47.31,3.45,1.18,24589893168,150535000
+TGT,Target Corp.,Consumer Discretionary,1.340881991913131,0.185069819,18.64,6.26,0.56,59100734918,506737000
+TXN,Texas Instruments,Information Technology,0.8862468117623082,0.224912306,25.24,5.24,1.24,123223956977,932032000
+HSY,The Hershey Company,Consumer Staples,1.4696819942330823,0.125085342,29.33,5.47,0.02,23779704176,148308000
+TMO,Thermo Fisher Scientific,Health Care,0.9572371356767688,0.223396092,36.98,9.17,1.14,136012138268,400991000
+UNH,United Health Group Inc.,Health Care,0.8928925321222835,0.243093824,20.86,14.33,0.69,283068652543,947415000
+VFC,V.F. Corp.,Consumer Discretionary,1.3232414086548459,0.129110804,25.99,3.22,1.2,33022293377,394720000
+WMT,Wal-Mart Stores,Consumer Staples,1.2710964130621618,0.125054707,23.55,5.0,0.36,334474559018,2837175000
+WBA,Walgreens Boots Alliance,Consumer Staples,2.224201311650672,-0.007405433,13.0,4.07,0.92,46817805348,885862000