diff --git a/P11. Normal Distribution of Stocks.ipynb b/P11. Normal Distribution of Stocks.ipynb
new file mode 100644
index 0000000..106d6bd
--- /dev/null
+++ b/P11. Normal Distribution of Stocks.ipynb	
@@ -0,0 +1,1512 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Normal Distribution of Stocks"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "%matplotlib inline\n",
+    "from scipy import stats\n",
+    "from scipy.stats import norm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "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>Date</th>\n",
+       "      <th>Date.1</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>gain</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2010-01-05</td>\n",
+       "      <td>2010-01-05</td>\n",
+       "      <td>1134.60</td>\n",
+       "      <td>-0.000881</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2010-01-06</td>\n",
+       "      <td>2010-01-06</td>\n",
+       "      <td>1139.60</td>\n",
+       "      <td>0.004407</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2010-01-07</td>\n",
+       "      <td>2010-01-07</td>\n",
+       "      <td>1144.15</td>\n",
+       "      <td>0.003993</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2010-01-08</td>\n",
+       "      <td>2010-01-08</td>\n",
+       "      <td>1144.05</td>\n",
+       "      <td>-0.000087</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2010-01-11</td>\n",
+       "      <td>2010-01-11</td>\n",
+       "      <td>1137.00</td>\n",
+       "      <td>-0.006162</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1733</th>\n",
+       "      <td>2016-12-26</td>\n",
+       "      <td>2016-12-26</td>\n",
+       "      <td>950.25</td>\n",
+       "      <td>-0.021924</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1734</th>\n",
+       "      <td>2016-12-27</td>\n",
+       "      <td>2016-12-27</td>\n",
+       "      <td>975.70</td>\n",
+       "      <td>0.026782</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1735</th>\n",
+       "      <td>2016-12-28</td>\n",
+       "      <td>2016-12-28</td>\n",
+       "      <td>974.40</td>\n",
+       "      <td>-0.001332</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1736</th>\n",
+       "      <td>2016-12-29</td>\n",
+       "      <td>2016-12-29</td>\n",
+       "      <td>986.05</td>\n",
+       "      <td>0.011956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1737</th>\n",
+       "      <td>2016-12-30</td>\n",
+       "      <td>2016-12-30</td>\n",
+       "      <td>1000.60</td>\n",
+       "      <td>0.014756</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1738 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date      Date.1    Close      gain\n",
+       "0     2010-01-05  2010-01-05  1134.60 -0.000881\n",
+       "1     2010-01-06  2010-01-06  1139.60  0.004407\n",
+       "2     2010-01-07  2010-01-07  1144.15  0.003993\n",
+       "3     2010-01-08  2010-01-08  1144.05 -0.000087\n",
+       "4     2010-01-11  2010-01-11  1137.00 -0.006162\n",
+       "...          ...         ...      ...       ...\n",
+       "1733  2016-12-26  2016-12-26   950.25 -0.021924\n",
+       "1734  2016-12-27  2016-12-27   975.70  0.026782\n",
+       "1735  2016-12-28  2016-12-28   974.40 -0.001332\n",
+       "1736  2016-12-29  2016-12-29   986.05  0.011956\n",
+       "1737  2016-12-30  2016-12-30  1000.60  0.014756\n",
+       "\n",
+       "[1738 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "beml=pd.read_csv(\"Database/beml_df.csv\")\n",
+    "beml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Date.1</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>gain</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2010-01-05</td>\n",
+       "      <td>2010-01-05</td>\n",
+       "      <td>1616.80</td>\n",
+       "      <td>-0.005444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2010-01-06</td>\n",
+       "      <td>2010-01-06</td>\n",
+       "      <td>1638.50</td>\n",
+       "      <td>0.013422</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2010-01-07</td>\n",
+       "      <td>2010-01-07</td>\n",
+       "      <td>1648.70</td>\n",
+       "      <td>0.006225</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2010-01-08</td>\n",
+       "      <td>2010-01-08</td>\n",
+       "      <td>1639.80</td>\n",
+       "      <td>-0.005398</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2010-01-11</td>\n",
+       "      <td>2010-01-11</td>\n",
+       "      <td>1629.45</td>\n",
+       "      <td>-0.006312</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1733</th>\n",
+       "      <td>2016-12-26</td>\n",
+       "      <td>2016-12-26</td>\n",
+       "      <td>2723.50</td>\n",
+       "      <td>-0.001283</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1734</th>\n",
+       "      <td>2016-12-27</td>\n",
+       "      <td>2016-12-27</td>\n",
+       "      <td>2701.75</td>\n",
+       "      <td>-0.007986</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1735</th>\n",
+       "      <td>2016-12-28</td>\n",
+       "      <td>2016-12-28</td>\n",
+       "      <td>2702.15</td>\n",
+       "      <td>0.000148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1736</th>\n",
+       "      <td>2016-12-29</td>\n",
+       "      <td>2016-12-29</td>\n",
+       "      <td>2727.90</td>\n",
+       "      <td>0.009529</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1737</th>\n",
+       "      <td>2016-12-30</td>\n",
+       "      <td>2016-12-30</td>\n",
+       "      <td>2729.80</td>\n",
+       "      <td>0.000697</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1738 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date      Date.1    Close      gain\n",
+       "0     2010-01-05  2010-01-05  1616.80 -0.005444\n",
+       "1     2010-01-06  2010-01-06  1638.50  0.013422\n",
+       "2     2010-01-07  2010-01-07  1648.70  0.006225\n",
+       "3     2010-01-08  2010-01-08  1639.80 -0.005398\n",
+       "4     2010-01-11  2010-01-11  1629.45 -0.006312\n",
+       "...          ...         ...      ...       ...\n",
+       "1733  2016-12-26  2016-12-26  2723.50 -0.001283\n",
+       "1734  2016-12-27  2016-12-27  2701.75 -0.007986\n",
+       "1735  2016-12-28  2016-12-28  2702.15  0.000148\n",
+       "1736  2016-12-29  2016-12-29  2727.90  0.009529\n",
+       "1737  2016-12-30  2016-12-30  2729.80  0.000697\n",
+       "\n",
+       "[1738 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "glaxo=pd.read_csv(\"Database/glaxo_df.csv\")\n",
+    "glaxo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Close</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
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+       "      <th>1</th>\n",
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+       "      <td>1139.60</td>\n",
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+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2010-01-07</td>\n",
+       "      <td>1144.15</td>\n",
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+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2010-01-08</td>\n",
+       "      <td>1144.05</td>\n",
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+       "    <tr>\n",
+       "      <th>4</th>\n",
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+       "    <tr>\n",
+       "      <th>1733</th>\n",
+       "      <td>2016-12-26</td>\n",
+       "      <td>950.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1734</th>\n",
+       "      <td>2016-12-27</td>\n",
+       "      <td>975.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1735</th>\n",
+       "      <td>2016-12-28</td>\n",
+       "      <td>974.40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1736</th>\n",
+       "      <td>2016-12-29</td>\n",
+       "      <td>986.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1737</th>\n",
+       "      <td>2016-12-30</td>\n",
+       "      <td>1000.60</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1738 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date    Close\n",
+       "0     2010-01-05  1134.60\n",
+       "1     2010-01-06  1139.60\n",
+       "2     2010-01-07  1144.15\n",
+       "3     2010-01-08  1144.05\n",
+       "4     2010-01-11  1137.00\n",
+       "...          ...      ...\n",
+       "1733  2016-12-26   950.25\n",
+       "1734  2016-12-27   975.70\n",
+       "1735  2016-12-28   974.40\n",
+       "1736  2016-12-29   986.05\n",
+       "1737  2016-12-30  1000.60\n",
+       "\n",
+       "[1738 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "beml_df=beml[['Date','Close']]\n",
+    "beml_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "    <tr>\n",
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+       "    <tr>\n",
+       "      <th>1733</th>\n",
+       "      <td>2016-12-26</td>\n",
+       "      <td>2723.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1734</th>\n",
+       "      <td>2016-12-27</td>\n",
+       "      <td>2701.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1735</th>\n",
+       "      <td>2016-12-28</td>\n",
+       "      <td>2702.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1736</th>\n",
+       "      <td>2016-12-29</td>\n",
+       "      <td>2727.90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1737</th>\n",
+       "      <td>2016-12-30</td>\n",
+       "      <td>2729.80</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1738 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date    Close\n",
+       "0     2010-01-05  1616.80\n",
+       "1     2010-01-06  1638.50\n",
+       "2     2010-01-07  1648.70\n",
+       "3     2010-01-08  1639.80\n",
+       "4     2010-01-11  1629.45\n",
+       "...          ...      ...\n",
+       "1733  2016-12-26  2723.50\n",
+       "1734  2016-12-27  2701.75\n",
+       "1735  2016-12-28  2702.15\n",
+       "1736  2016-12-29  2727.90\n",
+       "1737  2016-12-30  2729.80\n",
+       "\n",
+       "[1738 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "glaxo_df=glaxo[['Date','Close']]\n",
+    "glaxo_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Close</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
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+       "  </thead>\n",
+       "  <tbody>\n",
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+       "      <th>2010-01-05</th>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-06</th>\n",
+       "      <td>2010-01-06</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-07</th>\n",
+       "      <td>2010-01-07</td>\n",
+       "      <td>1144.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-08</th>\n",
+       "      <td>2010-01-08</td>\n",
+       "      <td>1144.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-11</th>\n",
+       "      <td>2010-01-11</td>\n",
+       "      <td>1137.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-26</th>\n",
+       "      <td>2016-12-26</td>\n",
+       "      <td>950.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-27</th>\n",
+       "      <td>2016-12-27</td>\n",
+       "      <td>975.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-28</th>\n",
+       "      <td>2016-12-28</td>\n",
+       "      <td>974.40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-29</th>\n",
+       "      <td>2016-12-29</td>\n",
+       "      <td>986.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-30</th>\n",
+       "      <td>2016-12-30</td>\n",
+       "      <td>1000.60</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1738 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Date    Close\n",
+       "Date                           \n",
+       "2010-01-05  2010-01-05  1134.60\n",
+       "2010-01-06  2010-01-06  1139.60\n",
+       "2010-01-07  2010-01-07  1144.15\n",
+       "2010-01-08  2010-01-08  1144.05\n",
+       "2010-01-11  2010-01-11  1137.00\n",
+       "...                ...      ...\n",
+       "2016-12-26  2016-12-26   950.25\n",
+       "2016-12-27  2016-12-27   975.70\n",
+       "2016-12-28  2016-12-28   974.40\n",
+       "2016-12-29  2016-12-29   986.05\n",
+       "2016-12-30  2016-12-30  1000.60\n",
+       "\n",
+       "[1738 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Creating DatetimeIndex from column date to plot trends over time\n",
+    "beml_dti=beml_df.set_index(pd.DatetimeIndex(beml['Date']))\n",
+    "beml_dti"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Close</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
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+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2010-01-05</th>\n",
+       "      <td>2010-01-05</td>\n",
+       "      <td>1616.80</td>\n",
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+       "    <tr>\n",
+       "      <th>2010-01-06</th>\n",
+       "      <td>2010-01-06</td>\n",
+       "      <td>1638.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-07</th>\n",
+       "      <td>2010-01-07</td>\n",
+       "      <td>1648.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-08</th>\n",
+       "      <td>2010-01-08</td>\n",
+       "      <td>1639.80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-11</th>\n",
+       "      <td>2010-01-11</td>\n",
+       "      <td>1629.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-26</th>\n",
+       "      <td>2016-12-26</td>\n",
+       "      <td>2723.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-27</th>\n",
+       "      <td>2016-12-27</td>\n",
+       "      <td>2701.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-28</th>\n",
+       "      <td>2016-12-28</td>\n",
+       "      <td>2702.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-29</th>\n",
+       "      <td>2016-12-29</td>\n",
+       "      <td>2727.90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-30</th>\n",
+       "      <td>2016-12-30</td>\n",
+       "      <td>2729.80</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1738 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Date    Close\n",
+       "Date                           \n",
+       "2010-01-05  2010-01-05  1616.80\n",
+       "2010-01-06  2010-01-06  1638.50\n",
+       "2010-01-07  2010-01-07  1648.70\n",
+       "2010-01-08  2010-01-08  1639.80\n",
+       "2010-01-11  2010-01-11  1629.45\n",
+       "...                ...      ...\n",
+       "2016-12-26  2016-12-26  2723.50\n",
+       "2016-12-27  2016-12-27  2701.75\n",
+       "2016-12-28  2016-12-28  2702.15\n",
+       "2016-12-29  2016-12-29  2727.90\n",
+       "2016-12-30  2016-12-30  2729.80\n",
+       "\n",
+       "[1738 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "glaxo_dti=glaxo_df.set_index(pd.DatetimeIndex(glaxo['Date']))\n",
+    "glaxo_dti"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plotting Close price trends\n",
+    "plt.plot(beml_dti.Close)\n",
+    "plt.title('Beml Close price trends')\n",
+    "plt.xlabel('Time')\n",
+    "plt.ylabel('Close Price')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(glaxo_dti.Close)\n",
+    "plt.title('Glaxo Close Price trends')\n",
+    "plt.xlabel('Time')\n",
+    "plt.ylabel('Close Price')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Q1. Expected daily Rate of return from these stocks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Rate of return is Gain for positive values and Loss for negative values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "scrolled": true
+   },
+   "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>Gain</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2010-01-06</th>\n",
+       "      <td>0.004407</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-07</th>\n",
+       "      <td>0.003993</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-08</th>\n",
+       "      <td>-0.000087</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-11</th>\n",
+       "      <td>-0.006162</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-12</th>\n",
+       "      <td>0.005849</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-26</th>\n",
+       "      <td>-0.021924</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-27</th>\n",
+       "      <td>0.026782</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-28</th>\n",
+       "      <td>-0.001332</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-29</th>\n",
+       "      <td>0.011956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-30</th>\n",
+       "      <td>0.014756</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1737 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Gain\n",
+       "Date                \n",
+       "2010-01-06  0.004407\n",
+       "2010-01-07  0.003993\n",
+       "2010-01-08 -0.000087\n",
+       "2010-01-11 -0.006162\n",
+       "2010-01-12  0.005849\n",
+       "...              ...\n",
+       "2016-12-26 -0.021924\n",
+       "2016-12-27  0.026782\n",
+       "2016-12-28 -0.001332\n",
+       "2016-12-29  0.011956\n",
+       "2016-12-30  0.014756\n",
+       "\n",
+       "[1737 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "beml_dti['Gain']=beml_dti.Close.pct_change(periods=1)\n",
+    "beml_dti[['Gain']].dropna() # to remove NA values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "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>Gain</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2010-01-06</th>\n",
+       "      <td>0.013422</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-07</th>\n",
+       "      <td>0.006225</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-08</th>\n",
+       "      <td>-0.005398</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-11</th>\n",
+       "      <td>-0.006312</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-12</th>\n",
+       "      <td>-0.027985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-26</th>\n",
+       "      <td>-0.001283</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-27</th>\n",
+       "      <td>-0.007986</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-28</th>\n",
+       "      <td>0.000148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-29</th>\n",
+       "      <td>0.009529</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-12-30</th>\n",
+       "      <td>0.000697</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1737 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Gain\n",
+       "Date                \n",
+       "2010-01-06  0.013422\n",
+       "2010-01-07  0.006225\n",
+       "2010-01-08 -0.005398\n",
+       "2010-01-11 -0.006312\n",
+       "2010-01-12 -0.027985\n",
+       "...              ...\n",
+       "2016-12-26 -0.001283\n",
+       "2016-12-27 -0.007986\n",
+       "2016-12-28  0.000148\n",
+       "2016-12-29  0.009529\n",
+       "2016-12-30  0.000697\n",
+       "\n",
+       "[1737 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "glaxo_dti['Gain']=glaxo_dti.Close.pct_change(periods=1)\n",
+    "glaxo_dti[['Gain']].dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plotting Gains or Losses over time for both the stocks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,6))\n",
+    "plt.plot(beml_dti.Gain)\n",
+    "plt.title('Beml Gain')\n",
+    "plt.xlabel('Time')\n",
+    "plt.ylabel('Gain')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,6))\n",
+    "plt.plot(glaxo_dti.Gain)\n",
+    "plt.title('Glaxo Gain')\n",
+    "plt.xlabel('Time')\n",
+    "plt.ylabel('Gain')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plotting the normal distribution for both the stocks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(beml_dti.Gain,label='BEML')\n",
+    "plt.xlabel('Gain')\n",
+    "plt.ylabel('Density')\n",
+    "plt.legend();"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(glaxo_dti.Gain,label='GLAXO')\n",
+    "plt.xlabel('Gain')\n",
+    "plt.ylabel('Density')\n",
+    "plt.legend();"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Beml mean: 0.0003\n",
+      "Beml SD: 0.0264\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Beml mean:',round(beml_dti.Gain.mean(),4))\n",
+    "print('Beml SD:',round(beml_dti.Gain.std(),4))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Glaxo mean: 0.0004\n",
+      "Glaxo SD: 0.0134\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Glaxo mean:',round(glaxo_dti.Gain.mean(),4))\n",
+    "print('Glaxo SD:',round(glaxo_dti.Gain.std(),4))"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "Inference: \n",
+    "Gain seems to be normally distributed for both the stocks with mean around 0.00.\n",
+    "The expected daily rate of return (gain) is around 0% for both the stocks."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Q2. Which Stocks have higher risks or volatality as far as daily returns are concerned "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(beml_dti.Gain,label='BEML')\n",
+    "sns.distplot(glaxo_dti.Gain,label='Glaxo')\n",
+    "plt.legend();"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "Inference:\n",
+    "BEML seems to have a higher variance than Glaxo.\n",
+    "Here, variance or standard deviation of gain indicates risk.\n",
+    "So, BEML stock has a higher risk, as standard deviation of BEML = 2.64% compared to Standard deviation of Glaxo = 1.33%    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Q3. Which Stock has higher probability of making a daily return of 2% or more"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.2277696435431158"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# P(X_beml>0.02)\n",
+    "1-stats.norm.cdf(0.02,0.0003,0.0264)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.07177658173190637"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# P(X_glaxo>0.02)\n",
+    "1-stats.norm.cdf(0.02,0.0004,0.0134)"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "Inference: \n",
+    "BEML has higher probabilty of making a daily return of 2% or more with 22.77% probability as compared to Glaxo with 7.17% probability."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Q4. Which Stock has higher probability of making a loss (risk) of 2% or more"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.779035355037202"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# P(X_beml>-0.02)\n",
+    "1-stats.norm.cdf(-0.02,0.0003,0.0264)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9360440625606244"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# P(X_glaxo>-0.02)\n",
+    "1-stats.norm.cdf(-0.02,0.0004,0.0134)"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "Inference:\n",
+    "Glaxo has higher probability of making loss(risk) of 2% or more ith 93.6% probability as compared to Beml ith 77.9% probability "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Q5. Compute 2% loss or gain for both the stocks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.5512657114940862"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# P(-0.02 >= X_beml >= 0.02)\n",
+    "stats.norm.cdf(0.02,0.0003,0.0264)-stats.norm.cdf(-0.02,0.0003,0.0264)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.8642674808287181"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# P(-0.02 >= X_glaxo >= 0.02)\n",
+    "stats.norm.cdf(0.02,0.0004,0.0134)-stats.norm.cdf(-0.02,0.0004,0.0134)"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "Inference:\n",
+    "Glaxo is at higher risk of making 2% loss or gain by 86.42% probability than Beml 55.12% probability."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}