Quant_Project-checkpoint.ipynb

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      "Requirement already satisfied: yfinance in /usr/local/lib/python3.10/dist-packages (0.2.41)\n",
      "Requirement already satisfied: pandas>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.1.4)\n",
      "Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.26.4)\n",
      "Requirement already satisfied: requests>=2.31 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.32.3)\n",
      "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.10/dist-packages (from yfinance) (0.0.11)\n",
      "Requirement already satisfied: lxml>=4.9.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.9.4)\n",
      "Requirement already satisfied: platformdirs>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.2.2)\n",
      "Requirement already satisfied: pytz>=2022.5 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2024.1)\n",
      "Requirement already satisfied: frozendict>=2.3.4 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.4.4)\n",
      "Requirement already satisfied: peewee>=3.16.2 in /usr/local/lib/python3.10/dist-packages (from yfinance) (3.17.6)\n",
      "Requirement already satisfied: beautifulsoup4>=4.11.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.12.3)\n",
      "Requirement already satisfied: html5lib>=1.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.1)\n",
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   "source": [
    "!pip install yfinance"
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   "source": [
    "#Importing the required libraries for the program.\n",
    "\n",
    "\n",
    "import yfinance as yf\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import pandas_datareader as pdr\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.graph_objects as go\n",
    "import seaborn as sns\n",
    "import datetime as dt\n",
    "import requests\n",
    "from datetime import datetime\n",
    "from pandas_datareader import data as web\n",
    "plt.style.use('fivethirtyeight')\n",
    "%matplotlib inline"
   ]
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       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-7e31bedd-43e9-47d2-a8db-4115e63385c2 button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "                 Open       High        Low      Close  Adj Close   Volume\n",
       "Date                                                                      \n",
       "2021-08-19  16.549999  16.629000  16.480000  16.580000  15.315170  1917900\n",
       "2021-08-20  16.540001  16.660000  16.520000  16.620001  15.352120  1647500\n",
       "2021-08-23  16.719999  16.799999  16.695000  16.730000  15.453727  1561900\n",
       "2021-08-24  16.730000  16.879999  16.730000  16.830000  15.546099  1311800\n",
       "2021-08-25  16.920000  17.075001  16.860001  17.000000  15.703131  1623000\n",
       "...               ...        ...        ...        ...        ...      ...\n",
       "2024-08-12  28.709999  28.805000  28.570000  28.629999  28.629999  1481900\n",
       "2024-08-13  28.879999  29.260000  28.825001  29.250000  29.250000  2059300\n",
       "2024-08-14  30.549999  31.030001  30.450001  30.889999  30.889999  6163600\n",
       "2024-08-15  30.129999  30.334999  30.010000  30.150000  30.150000  3718100\n",
       "2024-08-16  30.260000  30.420000  30.200001  30.379999  30.379999  2397400\n",
       "\n",
       "[753 rows x 6 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Importing the last 3 years of sotck data of UBS from the yahoo finance website.\n",
    "\n",
    "\n",
    "yf.download('UBS', start = '2021-08-19', end = '2024-08-19', interval = '1d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 472
    },
    "executionInfo": {
     "elapsed": 1476,
     "status": "ok",
     "timestamp": 1724661434177,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "LthxBdOACtoa",
    "outputId": "0b6b9daf-60f2-4bf3-9c80-43eacc32099a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "[*********************100%%**********************]  1 of 1 completed\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Getting and plotting the daily price charts for UBS stock for the last three years.\n",
    "\n",
    "\n",
    "data = yf.download(\"UBS\", start=\"2021-08-19\", end=\"2024-08-19\")\n",
    "data['Close'].plot()\n",
    "plt.title(\"UBS stock prices\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 459,
     "status": "ok",
     "timestamp": 1724682104569,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "ncYIABM8vGHJ",
    "outputId": "48d6908f-a5d8-417f-b004-836ddc4f7ff7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           Date       Open       High        Low      Close  Adj Close  \\\n",
      "0    2021-08-19  16.549999  16.629000  16.480000  16.580000  15.315170   \n",
      "1    2021-08-20  16.540001  16.660000  16.520000  16.620001  15.352120   \n",
      "2    2021-08-23  16.719999  16.799999  16.695000  16.730000  15.453727   \n",
      "3    2021-08-24  16.730000  16.879999  16.730000  16.830000  15.546099   \n",
      "4    2021-08-25  16.920000  17.075001  16.860001  17.000000  15.703129   \n",
      "..          ...        ...        ...        ...        ...        ...   \n",
      "748  2024-08-12  28.709999  28.805000  28.570000  28.629999  28.629999   \n",
      "749  2024-08-13  28.879999  29.260000  28.825001  29.250000  29.250000   \n",
      "750  2024-08-14  30.549999  31.030001  30.450001  30.889999  30.889999   \n",
      "751  2024-08-15  30.129999  30.334999  30.010000  30.150000  30.150000   \n",
      "752  2024-08-16  30.260000  30.420000  30.200001  30.379999  30.379999   \n",
      "\n",
      "      Volume  \n",
      "0    1917900  \n",
      "1    1647500  \n",
      "2    1561900  \n",
      "3    1311800  \n",
      "4    1623000  \n",
      "..       ...  \n",
      "748  1481900  \n",
      "749  2059300  \n",
      "750  6163600  \n",
      "751  3718100  \n",
      "752  2397400  \n",
      "\n",
      "[753 rows x 7 columns]\n"
     ]
    }
   ],
   "source": [
    "#Printing all the historical data for the last 3 years of the UBS stock.\n",
    "\n",
    "\n",
    "import pandas as pd\n",
    "df = pd.read_csv(\"UBS.csv\")\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 484,
     "status": "ok",
     "timestamp": 1724597330159,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "82iAcGEJxb7L",
    "outputId": "d5214bdc-1435-4bae-c1e9-60be12486153"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           Date      Close\n",
      "0    19-08-2022  16.280001\n",
      "1    22-08-2022  15.860000\n",
      "2    23-08-2022  15.860000\n",
      "3    24-08-2022  15.740000\n",
      "4    25-08-2022  16.059999\n",
      "5    26-08-2022  15.650000\n",
      "6    29-08-2022  15.960000\n",
      "7    30-08-2022  15.950000\n",
      "8    31-08-2022  15.850000\n",
      "9    01-09-2022  15.410000\n",
      "10   02-09-2022  15.520000\n",
      "11   06-09-2022  15.620000\n",
      "12   07-09-2022  15.700000\n",
      "13   08-09-2022  16.110001\n",
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      "418  19-04-2024  28.059999\n",
      "419  22-04-2024  27.969999\n",
      "420  23-04-2024  28.389999\n",
      "421  24-04-2024  27.360001\n",
      "422  25-04-2024  27.490000\n",
      "423  26-04-2024  27.379999\n",
      "424  29-04-2024  27.389999\n",
      "425  30-04-2024  26.850000\n",
      "426  01-05-2024  26.190001\n",
      "427  02-05-2024  26.820000\n",
      "428  03-05-2024  27.170000\n",
      "429  06-05-2024  27.600000\n",
      "430  07-05-2024  29.540001\n",
      "431  08-05-2024  28.830000\n",
      "432  09-05-2024  28.969999\n",
      "433  10-05-2024  29.700001\n",
      "434  13-05-2024  29.680000\n",
      "435  14-05-2024  30.160000\n",
      "436  15-05-2024  30.660000\n",
      "437  16-05-2024  30.020000\n",
      "438  17-05-2024  30.340000\n",
      "439  20-05-2024  30.100000\n",
      "440  21-05-2024  30.400000\n",
      "441  22-05-2024  30.049999\n",
      "442  23-05-2024  30.190001\n",
      "443  24-05-2024  30.870001\n",
      "444  28-05-2024  30.870001\n",
      "445  29-05-2024  30.510000\n",
      "446  30-05-2024  31.230000\n",
      "447  31-05-2024  31.879999\n",
      "448  03-06-2024  31.690001\n",
      "449  04-06-2024  31.219999\n",
      "450  05-06-2024  31.290001\n",
      "451  06-06-2024  31.690001\n",
      "452  07-06-2024  31.620001\n",
      "453  10-06-2024  31.260000\n",
      "454  11-06-2024  30.860001\n",
      "455  12-06-2024  31.139999\n",
      "456  13-06-2024  30.420000\n",
      "457  14-06-2024  30.400000\n",
      "458  17-06-2024  30.990000\n",
      "459  18-06-2024  31.180000\n",
      "460  20-06-2024  31.200001\n",
      "461  21-06-2024  30.240000\n",
      "462  24-06-2024  30.600000\n",
      "463  25-06-2024  29.799999\n",
      "464  26-06-2024  29.209999\n",
      "465  27-06-2024  29.459999\n",
      "466  28-06-2024  29.540001\n",
      "467  01-07-2024  29.940001\n",
      "468  02-07-2024  30.020000\n",
      "469  03-07-2024  30.340000\n",
      "470  05-07-2024  30.440001\n",
      "471  08-07-2024  30.389999\n",
      "472  09-07-2024  30.270000\n",
      "473  10-07-2024  30.740000\n",
      "474  11-07-2024  31.030001\n",
      "475  12-07-2024  31.240000\n",
      "476  15-07-2024  31.070000\n",
      "477  16-07-2024  31.420000\n",
      "478  17-07-2024  31.010000\n",
      "479  18-07-2024  30.590000\n",
      "480  19-07-2024  30.420000\n",
      "481  22-07-2024  30.680000\n",
      "482  23-07-2024  30.540001\n",
      "483  24-07-2024  30.000000\n",
      "484  25-07-2024  30.170000\n",
      "485  26-07-2024  30.549999\n",
      "486  29-07-2024  29.969999\n",
      "487  30-07-2024  30.010000\n",
      "488  31-07-2024  30.180000\n",
      "489  01-08-2024  29.160000\n",
      "490  02-08-2024  28.030001\n",
      "491  05-08-2024  27.969999\n",
      "492  06-08-2024  28.180000\n",
      "493  07-08-2024  28.160000\n",
      "494  08-08-2024  28.639999\n",
      "495  09-08-2024  28.690001\n",
      "496  12-08-2024  28.629999\n",
      "497  13-08-2024  29.250000\n",
      "498  14-08-2024  30.889999\n",
      "499  15-08-2024  30.150000\n",
      "500  16-08-2024  30.379999\n"
     ]
    }
   ],
   "source": [
    "#Printing only the closing price of each day of the UBS stock.\n",
    "\n",
    "\n",
    "print(df.to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 446,
     "status": "ok",
     "timestamp": 1724690099587,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "fm2rV4bo45s_",
    "outputId": "f5f8dfb6-f7d8-44ff-babb-2b06a5143540"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "[*********************100%%**********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "#Downloading the data for the UBS stock for performing various calculation on it.\n",
    "\n",
    "\n",
    "data = yf.download(\"UBS\", start='2021-08-19', end='2024-08-19')\n",
    "data = data[['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 494,
     "status": "ok",
     "timestamp": 1724690102103,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "mwRWYKDM7GAt",
    "outputId": "93f5c387-1db8-44cc-887e-b58a0ac0c653"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.180588678086455\n"
     ]
    }
   ],
   "source": [
    "#Calculating the standard deviation of the UBS stock.\n",
    "\n",
    "risk_measure = data['Close'].std()\n",
    "print(risk_measure)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 477,
     "status": "ok",
     "timestamp": 1724665310952,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "44O8ms0s5kNq",
    "outputId": "36454b2c-357c-488f-e6fd-4c60374fa86b"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "[*********************100%%**********************]  1 of 1 completed"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Monthly Returns:  Date\n",
      "2021-08-31    0.000647\n",
      "2021-09-30   -0.001958\n",
      "2021-10-31    0.006231\n",
      "2021-11-30   -0.002252\n",
      "2021-12-31    0.001602\n",
      "2022-01-31    0.002307\n",
      "2022-02-28   -0.001002\n",
      "2022-03-31    0.003723\n",
      "2022-04-30   -0.007245\n",
      "2022-05-31    0.005670\n",
      "2022-06-30   -0.006848\n",
      "2022-07-31    0.000614\n",
      "2022-08-31   -0.000916\n",
      "2022-09-30   -0.004015\n",
      "2022-10-31    0.004721\n",
      "2022-11-30    0.007460\n",
      "2022-12-31    0.000671\n",
      "2023-01-31    0.007054\n",
      "2023-02-28    0.000818\n",
      "2023-03-31   -0.000058\n",
      "2023-04-30   -0.002538\n",
      "2023-05-31   -0.002969\n",
      "2023-06-30    0.003376\n",
      "2023-07-31    0.004593\n",
      "2023-08-31    0.008287\n",
      "2023-09-30   -0.003942\n",
      "2023-10-31   -0.002145\n",
      "2023-11-30    0.009016\n",
      "2023-12-31    0.004620\n",
      "2024-01-31   -0.001456\n",
      "2024-02-29   -0.002366\n",
      "2024-03-31    0.003945\n",
      "2024-04-30   -0.005999\n",
      "2024-05-31    0.008045\n",
      "2024-06-30   -0.003906\n",
      "2024-07-31    0.001025\n",
      "2024-08-31    0.000850\n",
      "Freq: M, Name: Close, dtype: float64\n",
      "Annual Returns:  Date\n",
      "2021-12-31    0.000854\n",
      "2022-12-31    0.000428\n",
      "2023-12-31    0.002176\n",
      "2024-12-31    0.000017\n",
      "Freq: A-DEC, Name: Close, dtype: float64\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# Calculating the monthly and annual returns of UBS.\n",
    "\n",
    "\n",
    "data = yf.download(\"UBS\", start='2021-08-19', end='2024-08-19')\n",
    "data = data[['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume']]\n",
    "daily_returns = data['Close'].pct_change()\n",
    "monthly_returns = daily_returns.resample('M').mean()\n",
    "annual_returns = monthly_returns.resample('A').mean()\n",
    "print('Monthly Returns: ', monthly_returns)\n",
    "print('Annual Returns: ', annual_returns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 523
    },
    "executionInfo": {
     "elapsed": 1078,
     "status": "ok",
     "timestamp": 1724665680191,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "G35J-k70ET4I",
    "outputId": "7d9372d6-cdb5-45f2-a772-64abc538b166"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting the monthly returns of the UBS stock.\n",
    "\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(monthly_returns, label='Monthly Returns')\n",
    "plt.title('Monthly Returns of UBS')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Return')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 524
    },
    "executionInfo": {
     "elapsed": 842,
     "status": "ok",
     "timestamp": 1724665692550,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "I1xNYO_yBDyq",
    "outputId": "89b883e2-525f-4582-bb3b-3e27e17b0dd5"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting the annual returns of the UBS stock.\n",
    "\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(annual_returns, label='Annual Returns')\n",
    "plt.title('Annual Returns of UBS')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Return')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "AyvPphuWIoBh"
   },
   "outputs": [],
   "source": [
    "#Accessing the UBS stock data for calculating its 20-day average.\n",
    "\n",
    "\n",
    "dt = pd.read_csv(\"UBS.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "za0OrqHqI8DH"
   },
   "outputs": [],
   "source": [
    "#Calculating the 20-day average of the UNS stock.\n",
    "\n",
    "\n",
    "dt['20_MA_close'] = dt['Close'].rolling(window=20).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 357
    },
    "executionInfo": {
     "elapsed": 1589,
     "status": "ok",
     "timestamp": 1724494168827,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "x_VgyKk-JNpl",
    "outputId": "ca82fdd3-bb7f-434b-8121-4bcb126b044f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting the 20 day average against the closing price of the stock.\n",
    "\n",
    "\n",
    "dt[['Close', '20_MA_close']].plot(figsize=(10,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7OcWyfPacolM"
   },
   "source": [
    "This is the part B of the task involving portfolio creation and implementing various functions on it and comparing its performance against S&P500."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "executionInfo": {
     "elapsed": 22200,
     "status": "ok",
     "timestamp": 1724573462239,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "wJZllcELgYQu",
    "outputId": "2096ae85-dc5e-4d37-d39d-36c326cb111d"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "     <input type=\"file\" id=\"files-6262080c-115b-450b-82fe-9fa13b9f6e33\" name=\"files[]\" multiple disabled\n",
       "        style=\"border:none\" />\n",
       "     <output id=\"result-6262080c-115b-450b-82fe-9fa13b9f6e33\">\n",
       "      Upload widget is only available when the cell has been executed in the\n",
       "      current browser session. Please rerun this cell to enable.\n",
       "      </output>\n",
       "      <script>// Copyright 2017 Google LLC\n",
       "//\n",
       "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
       "// you may not use this file except in compliance with the License.\n",
       "// You may obtain a copy of the License at\n",
       "//\n",
       "//      http://www.apache.org/licenses/LICENSE-2.0\n",
       "//\n",
       "// Unless required by applicable law or agreed to in writing, software\n",
       "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
       "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
       "// See the License for the specific language governing permissions and\n",
       "// limitations under the License.\n",
       "\n",
       "/**\n",
       " * @fileoverview Helpers for google.colab Python module.\n",
       " */\n",
       "(function(scope) {\n",
       "function span(text, styleAttributes = {}) {\n",
       "  const element = document.createElement('span');\n",
       "  element.textContent = text;\n",
       "  for (const key of Object.keys(styleAttributes)) {\n",
       "    element.style[key] = styleAttributes[key];\n",
       "  }\n",
       "  return element;\n",
       "}\n",
       "\n",
       "// Max number of bytes which will be uploaded at a time.\n",
       "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
       "\n",
       "function _uploadFiles(inputId, outputId) {\n",
       "  const steps = uploadFilesStep(inputId, outputId);\n",
       "  const outputElement = document.getElementById(outputId);\n",
       "  // Cache steps on the outputElement to make it available for the next call\n",
       "  // to uploadFilesContinue from Python.\n",
       "  outputElement.steps = steps;\n",
       "\n",
       "  return _uploadFilesContinue(outputId);\n",
       "}\n",
       "\n",
       "// This is roughly an async generator (not supported in the browser yet),\n",
       "// where there are multiple asynchronous steps and the Python side is going\n",
       "// to poll for completion of each step.\n",
       "// This uses a Promise to block the python side on completion of each step,\n",
       "// then passes the result of the previous step as the input to the next step.\n",
       "function _uploadFilesContinue(outputId) {\n",
       "  const outputElement = document.getElementById(outputId);\n",
       "  const steps = outputElement.steps;\n",
       "\n",
       "  const next = steps.next(outputElement.lastPromiseValue);\n",
       "  return Promise.resolve(next.value.promise).then((value) => {\n",
       "    // Cache the last promise value to make it available to the next\n",
       "    // step of the generator.\n",
       "    outputElement.lastPromiseValue = value;\n",
       "    return next.value.response;\n",
       "  });\n",
       "}\n",
       "\n",
       "/**\n",
       " * Generator function which is called between each async step of the upload\n",
       " * process.\n",
       " * @param {string} inputId Element ID of the input file picker element.\n",
       " * @param {string} outputId Element ID of the output display.\n",
       " * @return {!Iterable<!Object>} Iterable of next steps.\n",
       " */\n",
       "function* uploadFilesStep(inputId, outputId) {\n",
       "  const inputElement = document.getElementById(inputId);\n",
       "  inputElement.disabled = false;\n",
       "\n",
       "  const outputElement = document.getElementById(outputId);\n",
       "  outputElement.innerHTML = '';\n",
       "\n",
       "  const pickedPromise = new Promise((resolve) => {\n",
       "    inputElement.addEventListener('change', (e) => {\n",
       "      resolve(e.target.files);\n",
       "    });\n",
       "  });\n",
       "\n",
       "  const cancel = document.createElement('button');\n",
       "  inputElement.parentElement.appendChild(cancel);\n",
       "  cancel.textContent = 'Cancel upload';\n",
       "  const cancelPromise = new Promise((resolve) => {\n",
       "    cancel.onclick = () => {\n",
       "      resolve(null);\n",
       "    };\n",
       "  });\n",
       "\n",
       "  // Wait for the user to pick the files.\n",
       "  const files = yield {\n",
       "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
       "    response: {\n",
       "      action: 'starting',\n",
       "    }\n",
       "  };\n",
       "\n",
       "  cancel.remove();\n",
       "\n",
       "  // Disable the input element since further picks are not allowed.\n",
       "  inputElement.disabled = true;\n",
       "\n",
       "  if (!files) {\n",
       "    return {\n",
       "      response: {\n",
       "        action: 'complete',\n",
       "      }\n",
       "    };\n",
       "  }\n",
       "\n",
       "  for (const file of files) {\n",
       "    const li = document.createElement('li');\n",
       "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
       "    li.append(span(\n",
       "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
       "        `last modified: ${\n",
       "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
       "                                    'n/a'} - `));\n",
       "    const percent = span('0% done');\n",
       "    li.appendChild(percent);\n",
       "\n",
       "    outputElement.appendChild(li);\n",
       "\n",
       "    const fileDataPromise = new Promise((resolve) => {\n",
       "      const reader = new FileReader();\n",
       "      reader.onload = (e) => {\n",
       "        resolve(e.target.result);\n",
       "      };\n",
       "      reader.readAsArrayBuffer(file);\n",
       "    });\n",
       "    // Wait for the data to be ready.\n",
       "    let fileData = yield {\n",
       "      promise: fileDataPromise,\n",
       "      response: {\n",
       "        action: 'continue',\n",
       "      }\n",
       "    };\n",
       "\n",
       "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
       "    let position = 0;\n",
       "    do {\n",
       "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
       "      const chunk = new Uint8Array(fileData, position, length);\n",
       "      position += length;\n",
       "\n",
       "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
       "      yield {\n",
       "        response: {\n",
       "          action: 'append',\n",
       "          file: file.name,\n",
       "          data: base64,\n",
       "        },\n",
       "      };\n",
       "\n",
       "      let percentDone = fileData.byteLength === 0 ?\n",
       "          100 :\n",
       "          Math.round((position / fileData.byteLength) * 100);\n",
       "      percent.textContent = `${percentDone}% done`;\n",
       "\n",
       "    } while (position < fileData.byteLength);\n",
       "  }\n",
       "\n",
       "  // All done.\n",
       "  yield {\n",
       "    response: {\n",
       "      action: 'complete',\n",
       "    }\n",
       "  };\n",
       "}\n",
       "\n",
       "scope.google = scope.google || {};\n",
       "scope.google.colab = scope.google.colab || {};\n",
       "scope.google.colab._files = {\n",
       "  _uploadFiles,\n",
       "  _uploadFilesContinue,\n",
       "};\n",
       "})(self);\n",
       "</script> "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving Portfolio.csv to Portfolio.csv\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'Portfolio.csv': 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      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Importing the portfolio data\n",
    "\n",
    "\n",
    "from google.colab import files\n",
    "files.upload()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "executionInfo": {
     "elapsed": 535,
     "status": "ok",
     "timestamp": 1724664445614,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "gWCSfSrSgLRj",
    "outputId": "5fba54f4-7b67-416c-d947-a3df1676501e"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"df\",\n  \"rows\": 502,\n  \"fields\": [\n    {\n      \"column\": \"UBS\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.16096048713299,\n        \"min\": 13.99,\n        \"max\": 31.93,\n        \"num_unique_values\": 433,\n        \"samples\": [\n          28.18,\n          17.870001,\n          20.049999\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"UAL\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.734540902591378,\n        \"min\": 31.9,\n        \"max\": 57.610001,\n        \"num_unique_values\": 446,\n        \"samples\": [\n          37.509998,\n          43.619999,\n          49.91\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"UBER\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 17.334927449470563,\n        \"min\": 24.4,\n        \"max\": 81.389999,\n        \"num_unique_values\": 463,\n        \"samples\": [\n          43.650002,\n          29.73,\n          27.870001\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe",
       "variable_name": "df"
      },
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UBS</th>\n",
       "      <th>UAL</th>\n",
       "      <th>UBER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NaT</th>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2022-08-19</th>\n",
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       "    <tr>\n",
       "      <th>2022-08-22</th>\n",
       "      <td>15.860000</td>\n",
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       "      <td>28.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-23</th>\n",
       "      <td>15.860000</td>\n",
       "      <td>36.910000</td>\n",
       "      <td>27.809999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-24</th>\n",
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      ],
      "text/plain": [
       "                  UBS        UAL       UBER\n",
       "NaT               NaN        NaN        NaN\n",
       "2022-08-19  16.280001  37.500000  29.010000\n",
       "2022-08-22  15.860000  36.360001  28.000000\n",
       "2022-08-23  15.860000  36.910000  27.809999\n",
       "2022-08-24  15.740000  37.389999  28.709999"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Cleaning the data set so as to only keep the closing price of the stocks for the last 2 years.\n",
    "\n",
    "df = pd.read_csv('Portfolio.csv')\n",
    "df = df.set_index(pd.DatetimeIndex(df['Date'].values))\n",
    "df.drop(columns=['Date'], axis=1, inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 5480,
     "status": "ok",
     "timestamp": 1724598163533,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "mUc3bnl9i05T",
    "outputId": "c746383e-f035-4363-d165-10af337c3aee"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting PyPortfolioOpt\n",
      "  Downloading pyportfolioopt-1.5.5-py3-none-any.whl.metadata (23 kB)\n",
      "Requirement already satisfied: cvxpy<2.0.0,>=1.1.19 in /usr/local/lib/python3.10/dist-packages (from PyPortfolioOpt) (1.5.3)\n",
      "Requirement already satisfied: numpy<2.0.0,>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from PyPortfolioOpt) (1.26.4)\n",
      "Requirement already satisfied: pandas>=0.19 in /usr/local/lib/python3.10/dist-packages (from PyPortfolioOpt) (2.1.4)\n",
      "Requirement already satisfied: scipy<2.0,>=1.3 in /usr/local/lib/python3.10/dist-packages (from PyPortfolioOpt) (1.13.1)\n",
      "Requirement already satisfied: osqp>=0.6.2 in /usr/local/lib/python3.10/dist-packages (from cvxpy<2.0.0,>=1.1.19->PyPortfolioOpt) (0.6.7.post0)\n",
      "Requirement already satisfied: ecos>=2 in /usr/local/lib/python3.10/dist-packages (from cvxpy<2.0.0,>=1.1.19->PyPortfolioOpt) (2.0.14)\n",
      "Requirement already satisfied: clarabel>=0.5.0 in /usr/local/lib/python3.10/dist-packages (from cvxpy<2.0.0,>=1.1.19->PyPortfolioOpt) (0.9.0)\n",
      "Requirement already satisfied: scs>=3.2.4.post1 in /usr/local/lib/python3.10/dist-packages (from cvxpy<2.0.0,>=1.1.19->PyPortfolioOpt) (3.2.6)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.19->PyPortfolioOpt) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.19->PyPortfolioOpt) (2024.1)\n",
      "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.19->PyPortfolioOpt) (2024.1)\n",
      "Requirement already satisfied: qdldl in /usr/local/lib/python3.10/dist-packages (from osqp>=0.6.2->cvxpy<2.0.0,>=1.1.19->PyPortfolioOpt) (0.1.7.post4)\n",
      "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas>=0.19->PyPortfolioOpt) (1.16.0)\n",
      "Downloading pyportfolioopt-1.5.5-py3-none-any.whl (61 kB)\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m61.9/61.9 kB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hInstalling collected packages: PyPortfolioOpt\n",
      "Successfully installed PyPortfolioOpt-1.5.5\n"
     ]
    }
   ],
   "source": [
    "pip install PyPortfolioOpt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 540,
     "status": "ok",
     "timestamp": 1724597973778,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "seuHNMfnvXx3",
    "outputId": "27b2d00e-9fe8-4b89-9852-52bf607d8fce"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Portfolio returns:  NaT             0.000000\n",
      "2022-08-19      0.000000\n",
      "2022-08-22   -292.031814\n",
      "2022-08-23     20.851837\n",
      "2022-08-24     75.586577\n",
      "                 ...    \n",
      "2024-12-08    -46.905989\n",
      "2024-08-13    204.175915\n",
      "2024-08-14    269.405483\n",
      "2024-08-15     58.372989\n",
      "2024-08-16    -20.151189\n",
      "Length: 502, dtype: float64\n",
      "Portfolio volatility:  2697.663175794506\n"
     ]
    }
   ],
   "source": [
    "#Calculating the portfolio returns and volatility.\n",
    "\n",
    "\n",
    "stocks = ['UBS', 'UAL', 'UBER']\n",
    "weights = [0.5, 0.25, 0.25]\n",
    "total_investment = 10000\n",
    "investment_amounts = [weight * total_investment for weight in weights]\n",
    "data = pd.read_csv('Portfolio.csv')\n",
    "data = data.set_index(pd.DatetimeIndex(data['Date'].values))\n",
    "data.drop(columns=['Date'], axis=1, inplace=True)\n",
    "portfolio_returns = (data.pct_change()*investment_amounts).sum(axis=1)\n",
    "portfolio_volatility = portfolio_returns.std()*np.sqrt(252)\n",
    "print(\"Portfolio returns: \", portfolio_returns)\n",
    "print(\"Portfolio volatility: \", portfolio_volatility)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "jRbp6xL9MI29"
   },
   "outputs": [],
   "source": [
    "#Investing 50% of the funds to UBS, and 25% each to United Airline(uAL) and UBER.\n",
    "\n",
    "\n",
    "assets = ['UBS', 'UBER', 'UAL']\n",
    "weights = np.array([0.5, 0.25, 0.25])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "QuPXmWizMZW-"
   },
   "outputs": [],
   "source": [
    "#Setting the start date and the end date for fetching the data.\n",
    "\n",
    "\n",
    "stockStartDate = '2022-08-19'\n",
    "stockEndDate = '2024-08-19'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 289
    },
    "executionInfo": {
     "elapsed": 1213,
     "status": "ok",
     "timestamp": 1724673929411,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "AyAm5uxrNhtY",
    "outputId": "07f36cba-cfc2-4564-de59-8e59f61383c1"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n"
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      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"df\",\n  \"rows\": 501,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2022-08-19 00:00:00\",\n        \"max\": \"2024-08-16 00:00:00\",\n        \"num_unique_values\": 501,\n        \"samples\": [\n          \"2024-01-30 00:00:00\",\n          \"2022-12-02 00:00:00\",\n          \"2024-02-16 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"UBS\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.322508461417817,\n        \"min\": 13.283721923828125,\n        \"max\": 31.8799991607666,\n        \"num_unique_values\": 449,\n        \"samples\": [\n          27.52802085876465,\n          28.53169822692871,\n          20.519031524658203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"UBER\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 17.334927460727194,\n        \"min\": 24.399999618530273,\n        \"max\": 81.38999938964844,\n        \"num_unique_values\": 463,\n        \"samples\": [\n          43.650001525878906,\n          29.729999542236328,\n          27.8700008392334\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"UAL\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.734540910110634,\n        \"min\": 31.899999618530273,\n        \"max\": 57.61000061035156,\n        \"num_unique_values\": 446,\n        \"samples\": [\n          37.5099983215332,\n          43.619998931884766,\n          49.90999984741211\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-3b310c87-ccee-4b89-867f-f7b54b4428b4 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-3b310c87-ccee-4b89-867f-f7b54b4428b4');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "<div id=\"df-886a6ead-7809-430d-94bf-30ca96a25a01\">\n",
       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-886a6ead-7809-430d-94bf-30ca96a25a01')\"\n",
       "            title=\"Suggest charts\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "     width=\"24px\">\n",
       "    <g>\n",
       "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
       "    </g>\n",
       "</svg>\n",
       "  </button>\n",
       "\n",
       "<style>\n",
       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
       "      --fill-color: #1967D2;\n",
       "      --hover-bg-color: #E2EBFA;\n",
       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
       "  }\n",
       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
       "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "    fill: var(--button-hover-fill-color);\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
       "  .colab-df-quickchart-complete:disabled:hover {\n",
       "    background-color: var(--disabled-bg-color);\n",
       "    fill: var(--disabled-fill-color);\n",
       "    box-shadow: none;\n",
       "  }\n",
       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
       "    }\n",
       "    20% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    30% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    40% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    60% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    80% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "    90% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-886a6ead-7809-430d-94bf-30ca96a25a01 button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "                  UBS       UBER        UAL\n",
       "Date                                       \n",
       "2022-08-19  15.458114  29.010000  37.500000\n",
       "2022-08-22  15.059316  28.000000  36.360001\n",
       "2022-08-23  15.059316  27.809999  36.910000\n",
       "2022-08-24  14.945374  28.709999  37.389999\n",
       "2022-08-25  15.249220  29.620001  38.270000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Accessing only the closing prices for the stocks in our portfolio.\n",
    "\n",
    "\n",
    "df = pd.DataFrame()\n",
    "for stock in assets:\n",
    "    df[stock] = yf.download(stock, start=stockStartDate, end=stockEndDate)['Adj Close']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 509
    },
    "executionInfo": {
     "elapsed": 1258,
     "status": "ok",
     "timestamp": 1724609090277,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "3nlUkLF5srWt",
    "outputId": "8f470fc9-08c9-48af-f9e8-1e6114f0e248"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Potting the adjusted closing prices for the stocks in the portfolio.\n",
    "\n",
    "\n",
    "title = 'Portfolio Adj. Close Price History'\n",
    "my_stocks = df\n",
    "for c in my_stocks.columns.values:\n",
    "    plt.plot(my_stocks[c], label=c)\n",
    "plt.title(title)\n",
    "plt.xlabel('Date', fontsize=18)\n",
    "plt.ylabel('Adj. Price USD ($)', fontsize=18)\n",
    "plt.legend(my_stocks.columns.values, loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 237
    },
    "executionInfo": {
     "elapsed": 483,
     "status": "ok",
     "timestamp": 1724663633833,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "1FSE2tkotmBm",
    "outputId": "2837cf65-2ac1-4eb6-800f-94d0f692d84d"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
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       "  </script>\n",
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       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "                 UBS      UBER       UAL\n",
       "Date                                    \n",
       "2022-08-19       NaN       NaN       NaN\n",
       "2022-08-22 -0.025799 -0.034816 -0.030400\n",
       "2022-08-23  0.000000 -0.006786  0.015126\n",
       "2022-08-24 -0.007566  0.032362  0.013005\n",
       "2022-08-25  0.020330  0.031696  0.023536"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Getting the relative price change of the stocks.\n",
    "\n",
    "\n",
    "returns = df.pct_change()\n",
    "returns.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 143
    },
    "executionInfo": {
     "elapsed": 495,
     "status": "ok",
     "timestamp": 1724663637267,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "t9US6HTKt7FK",
    "outputId": "a7775237-b147-4d5f-b3c7-21da51b51422"
   },
   "outputs": [
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       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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       "            'suggestCharts', [key], {});\n",
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       "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('cov_matrix_annual')\"\n",
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       "\n",
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       "  </div>\n"
      ],
      "text/plain": [
       "           UBS      UBER       UAL\n",
       "UBS   0.092703  0.041847  0.041507\n",
       "UBER  0.041847  0.174023  0.060958\n",
       "UAL   0.041507  0.060958  0.161132"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Calculating the annual covariance of the stocks.\n",
    "\n",
    "\n",
    "cov_matrix_annual = returns.cov()*252\n",
    "cov_matrix_annual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 691,
     "status": "ok",
     "timestamp": 1724609363662,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "x7h0aSvNucjn",
    "outputId": "9d75e972-f0a1-441a-8084-f309a5913da7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.07258116539888676"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Here we are calculating the variance of the portfolio.\n",
    "\n",
    "\n",
    "port_variance = np.dot(weights.T, np.dot(cov_matrix_annual, weights))\n",
    "port_variance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 571,
     "status": "ok",
     "timestamp": 1724609418778,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "_DD_tn4_uonL",
    "outputId": "75bb0df7-c863-4bb3-d5fd-fda08b372305"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.26940891855854876"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#We are calculating the standard deviation/volatility of te portfolio.\n",
    "\n",
    "\n",
    "port_volatility = np.sqrt(port_variance)\n",
    "port_volatility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 514,
     "status": "ok",
     "timestamp": 1724609497220,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "EMmkna4Iu2hv",
    "outputId": "e1da691a-e392-4da1-8d29-11fa2ebadd2e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3638664839075356"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Here we are calculating the simple annual return of our portfolio.\n",
    "\n",
    "\n",
    "portfolioSimpleAnnualReturn = np.sum(returns.mean()*weights)*252\n",
    "portfolioSimpleAnnualReturn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 7,
     "status": "ok",
     "timestamp": 1724609789091,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "0q-3kKWGvJoW",
    "outputId": "b1ef4f9b-7762-4860-fc50-25e0795a44f7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Expected annual return: 36.0%\n",
      "Annual volatility/risk: 27.0%\n",
      "Annual variance: 7.000000000000001%\n"
     ]
    }
   ],
   "source": [
    "#This is a summary of the various performance indicators for the portfolio, containing information about\n",
    "# their expected annual return, annual volatility and annual variance.\n",
    "\n",
    "\n",
    "percent_var = str(round(port_variance, 2)*100)+ '%'\n",
    "percent_vol = str(round(port_volatility, 2)*100)+'%'\n",
    "percent_ret = str(round(portfolioSimpleAnnualReturn, 2)*100)+'%'\n",
    "print('Expected annual return: '+ percent_ret)\n",
    "print('Annual volatility/risk: ' + percent_vol)\n",
    "print('Annual variance: ' + percent_var)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "34WNVH0Yw0X8"
   },
   "source": [
    "# New Section"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 511,
     "status": "ok",
     "timestamp": 1724673935451,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "LW7Inwh-22vC",
    "outputId": "8305996f-d3e9-49d2-81b8-12dea228298f"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  4 of 4 completed\n",
      "<ipython-input-8-cb55d21271d0>:2: FutureWarning: The default fill_method='pad' in DataFrame.pct_change is deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values.\n",
      "  new_portfolio_returns = data.pct_change()\n"
     ]
    }
   ],
   "source": [
    "#Here we are downloading the date for both our portfolio and as well as for S&P500 so as to compare their performance\n",
    "# for the last two years and plot them on a chart for better visualisation.\n",
    "\n",
    "\n",
    "data = yf.download(assets + [\"ES=F\"], start=stockStartDate, end=stockEndDate)['Adj Close']\n",
    "new_portfolio_returns = data.pct_change()\n",
    "sp500_returns = new_portfolio_returns['ES=F']\n",
    "portfolio_performance = new_portfolio_returns.mean(axis=1) - sp500_returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 508
    },
    "executionInfo": {
     "elapsed": 1881,
     "status": "ok",
     "timestamp": 1724674805762,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "xjPskO4i-ah_",
    "outputId": "049396b4-163e-4765-be45-4db690216ba2"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#This is comparision of the performance of my portfolio against S&P 500 for the last two years\n",
    "#And we can see that the stocks in my portfolio have generated higher cumlative returns that S&P500.\n",
    "\n",
    "\n",
    "cumlative_returns = (1 + new_portfolio_returns).cumprod()\n",
    "cumlative_sp500 = (1 +sp500_returns).cumprod()\n",
    "plt.title('Portfolio vs S&P500 Cumulative Returns')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Cumulative Returns')\n",
    "for c in cumlative_returns.columns.values:\n",
    "    plt.plot(cumlative_returns[c], label=c)\n",
    "plt.plot(cumlative_sp500, label='SP500')\n",
    "plt.legend(data.columns.values, loc='upper left')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "#In the graph below the 'ES=F', which is the ticker for the S&P500, should had been grey but its legend is given as blue, so please ignore that.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 143
    },
    "executionInfo": {
     "elapsed": 451,
     "status": "ok",
     "timestamp": 1724661649125,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "Agq3F5thwnng",
    "outputId": "456ab4ba-9c7a-4d2e-cc5d-8e5d1842666c"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"returns\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"UBS\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.00011690617702835318,\n        \"min\": 0.00016470853306855448,\n        \"max\": 0.00036786866435213053,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.00036786866435213053,\n          0.00016606069104593965,\n          0.00016470853306855448\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"UBER\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0002834805021762109,\n        \"min\": 0.00016606069104593965,\n        \"max\": 0.000690569303156031,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.00016606069104593965,\n          0.000690569303156031,\n          0.00024189712722529606\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"UAL\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0002547294653088018,\n        \"min\": 0.00016470853306855448,\n        \"max\": 0.0006394137589123066,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.00016470853306855448,\n          0.00024189712722529606,\n          0.0006394137589123066\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-7bb008ea-94cc-4393-b7ae-bd3d835563b9\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UBS</th>\n",
       "      <th>UBER</th>\n",
       "      <th>UAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>UBS</th>\n",
       "      <td>0.000368</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UBER</th>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000691</td>\n",
       "      <td>0.000242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UAL</th>\n",
       "      <td>0.000165</td>\n",
       "      <td>0.000242</td>\n",
       "      <td>0.000639</td>\n",
       "    </tr>\n",
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       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7bb008ea-94cc-4393-b7ae-bd3d835563b9')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
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       "\n",
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       "        document.querySelector('#df-7bb008ea-94cc-4393-b7ae-bd3d835563b9 button.colab-df-convert');\n",
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       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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       "        const element = document.querySelector('#df-7bb008ea-94cc-4393-b7ae-bd3d835563b9');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
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       "\n",
       "\n",
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       "            title=\"Suggest charts\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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       "    </g>\n",
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       "\n",
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       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
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       "      --hover-fill-color: #174EA6;\n",
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       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
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       "\n",
       "  .colab-df-quickchart:hover {\n",
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       "  .colab-df-quickchart-complete:disabled,\n",
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       "      border-color: transparent;\n",
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       "    }\n",
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       "\n",
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       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
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       "  </script>\n",
       "</div>\n",
       "\n",
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       "  </div>\n"
      ],
      "text/plain": [
       "           UBS      UBER       UAL\n",
       "UBS   0.000368  0.000166  0.000165\n",
       "UBER  0.000166  0.000691  0.000242\n",
       "UAL   0.000165  0.000242  0.000639"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Getting the covariance matrix of the portfolio.\n",
    "\n",
    "\n",
    "returns = df.pct_change()\n",
    "returns.cov()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 178
    },
    "executionInfo": {
     "elapsed": 491,
     "status": "ok",
     "timestamp": 1724661685833,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "e1OfW2X62Luo",
    "outputId": "6d42ff27-ae14-4d32-bb9b-8a0a849db0b2"
   },
   "outputs": [
    {
     "data": {
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       "      <th>UBS</th>\n",
       "      <td>0.000368</td>\n",
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       "UBS     0.000368\n",
       "UBER    0.000691\n",
       "UAL     0.000639\n",
       "dtype: float64"
      ]
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     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "#Getting the variance of each stock.\n",
    "#We are getting positive covariance between the stocks which means that there is a positive directional\n",
    "#relationship between the stocks.\n",
    "\n",
    "returns.var()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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     "base_uri": "https://localhost:8080/",
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    "executionInfo": {
     "elapsed": 500,
     "status": "ok",
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    },
    "id": "3sXAM0jJ2PLS",
    "outputId": "39f4172a-7cf8-436a-ab7d-0d412843dac4"
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       "\n",
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      ],
      "text/plain": [
       "           UBS      UBER       UAL\n",
       "UBS   1.000000  0.329471  0.339609\n",
       "UBER  0.329471  1.000000  0.364029\n",
       "UAL   0.339609  0.364029  1.000000"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Getting the correlational matrix of the portfolio.\n",
    "#We can see that all the stocks in our portfolio have low correlational values with each other.\n",
    "\n",
    "returns.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kzazNoNXfltU"
   },
   "source": [
    "Correlational values are important for the analysis of a portfolio because they tell us how the stocks would be affected if one of the stocks gains or loses its value. If the correlational  values are high, it means that if one stock's prices increases or decreases for a certain percent, other stocks would also experience a similar amount of increase/decrease in their value. It usually happens in portfolios having stocks from the same industry. In our case, the correlational values are low which means that an increased volatility in the price of one stock wouldn't affect the other stocks that much as the portfolio is diversified."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 474
    },
    "executionInfo": {
     "elapsed": 1893,
     "status": "ok",
     "timestamp": 1724661809646,
     "user": {
      "displayName": "Ujjwal Raghav",
      "userId": "11146245638019505667"
     },
     "user_tz": -330
    },
    "id": "epRPL0PV2lt4",
    "outputId": "b8eda6ea-1048-464b-9e60-767935c609d2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#This is a heatmap showing the correlation values and visualising them.\n",
    "\n",
    "\n",
    "sns.heatmap(returns.corr())"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "authorship_tag": "ABX9TyP1wVLO+gHGhesYNEEI06I+",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}