predict_compare.ipynb

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      "execution_count": null,
      "metadata": {
        "id": "S8XXrzpWJ-6W"
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      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import yfinance as yf\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.metrics import mean_squared_error\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Set Seaborn style\n",
        "sns.set(style=\"darkgrid\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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        },
        "id": "XPROO19wNR67",
        "outputId": "8bb01e08-6b83-4042-a4aa-78dd798d32a7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[*********************100%***********************]  4 of 4 completed\n",
            "Mean Squared Error for AAPL: 25.030846743591052\n",
            "Mean Squared Error for GOOG: 80.88936846908166\n",
            "Mean Squared Error for MSFT: 207.0128702738556\n",
            "Mean Squared Error for AMZN: 646.3513148618403\n"
          ]
        }
      ],
      "source": [
        "# Define stock symbols and time range\n",
        "stock_symbols = ['AAPL', 'GOOG', 'MSFT', 'AMZN']\n",
        "start_date = \"2020-01-01\"\n",
        "end_date = \"2021-01-01\"\n",
        "\n",
        "# Fetch historical stock data for multiple stocks\n",
        "data = yf.download(stock_symbols, start=start_date, end=end_date)\n",
        "\n",
        "# Select the \"Close\" prices as the feature for each stock\n",
        "data = data['Close']\n",
        "\n",
        "# Split the data into training and testing sets\n",
        "train_data = data.iloc[:int(0.8 * len(data))]\n",
        "test_data = data.iloc[int(0.8 * len(data)):]\n",
        "\n",
        "# Create a linear regression model for each stock\n",
        "models = {}\n",
        "for stock_symbol in stock_symbols:\n",
        "    model = LinearRegression()\n",
        "    X_train = np.arange(len(train_data)).reshape(-1, 1)\n",
        "    y_train = train_data[stock_symbol].values\n",
        "    model.fit(X_train, y_train)\n",
        "    models[stock_symbol] = model\n",
        "\n",
        "# Prepare testing data and make predictions\n",
        "predictions = {}\n",
        "for stock_symbol in stock_symbols:\n",
        "    model = models[stock_symbol]\n",
        "    X_test = np.arange(len(train_data), len(data)).reshape(-1, 1)\n",
        "    y_test = test_data[stock_symbol].values\n",
        "    predictions[stock_symbol] = model.predict(X_test)\n",
        "\n",
        "# Calculate mean squared error for each stock\n",
        "mse = {}\n",
        "for stock_symbol in stock_symbols:\n",
        "    y_test = test_data[stock_symbol].values\n",
        "    mse[stock_symbol] = mean_squared_error(y_test, predictions[stock_symbol])\n",
        "    print(f\"Mean Squared Error for {stock_symbol}: {mse[stock_symbol]}\")\n"
      ]
    },
    {
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              "      <th>2020-01-02</th>\n",
              "      <td>75.087502</td>\n",
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              "                 AAPL       AMZN       GOOG        MSFT\n",
              "Date                                                   \n",
              "2020-01-02  75.087502  94.900497  68.368500  160.619995\n",
              "2020-01-03  74.357498  93.748497  68.032997  158.619995\n",
              "2020-01-06  74.949997  95.143997  69.710503  159.029999\n",
              "2020-01-07  74.597504  95.343002  69.667000  157.580002\n",
              "2020-01-08  75.797501  94.598503  70.216003  160.089996"
            ]
          },
          "execution_count": 27,
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          "output_type": "execute_result"
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              "gRLJKQgG6v8D30KyQXiddF0AAAAASUVORK5CYII=\n",
              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-0f34e769-b418-43c2-bdc9-a022cdd80fea\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-0f34e769-b418-43c2-bdc9-a022cdd80fea\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ],
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "\n",
              "def value_plot(df, y, sort_ascending=False, figscale=1):\n",
              "  from matplotlib import pyplot as plt\n",
              "  figsize = (8 * figscale, 4 * figscale)\n",
              "  if sort_ascending:\n",
              "    df = df.sort_values(y).reset_index(drop=True)\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  df[y].plot(kind='line')\n",
              "  plt.title(y)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = value_plot(_df_9, *['AAPL'], **{})\n",
              "chart"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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              "YddxwZAAAAAASUVORK5CYII=\n",
              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-d4a320ae-8639-4e17-81d8-5b6d960bbb56\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-d4a320ae-8639-4e17-81d8-5b6d960bbb56\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ],
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "\n",
              "def value_plot(df, y, sort_ascending=False, figscale=1):\n",
              "  from matplotlib import pyplot as plt\n",
              "  figsize = (8 * figscale, 4 * figscale)\n",
              "  if sort_ascending:\n",
              "    df = df.sort_values(y).reset_index(drop=True)\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  df[y].plot(kind='line')\n",
              "  plt.title(y)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = value_plot(_df_10, *['AMZN'], **{})\n",
              "chart"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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              "qwAAAABJRU5ErkJggg==\n",
              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-17499a77-7ca5-4c80-a0b7-5223447a43ab\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-17499a77-7ca5-4c80-a0b7-5223447a43ab\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ],
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "\n",
              "def value_plot(df, y, sort_ascending=False, figscale=1):\n",
              "  from matplotlib import pyplot as plt\n",
              "  figsize = (8 * figscale, 4 * figscale)\n",
              "  if sort_ascending:\n",
              "    df = df.sort_values(y).reset_index(drop=True)\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  df[y].plot(kind='line')\n",
              "  plt.title(y)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = value_plot(_df_11, *['GOOG'], **{})\n",
              "chart"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-ea574cb6-7c19-4d35-91d0-4c4af1707bc6\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-ea574cb6-7c19-4d35-91d0-4c4af1707bc6\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ],
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "\n",
              "def value_plot(df, y, sort_ascending=False, figscale=1):\n",
              "  from matplotlib import pyplot as plt\n",
              "  figsize = (8 * figscale, 4 * figscale)\n",
              "  if sort_ascending:\n",
              "    df = df.sort_values(y).reset_index(drop=True)\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  df[y].plot(kind='line')\n",
              "  plt.title(y)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = value_plot(_df_12, *['MSFT'], **{})\n",
              "chart"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Distributions</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ],
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7f98294c4b20>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-2fc1cad7-1ec5-46e9-ae4a-4e6be6078090\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-2fc1cad7-1ec5-46e9-ae4a-4e6be6078090\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ],
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "\n",
              "def histogram(df, colname, num_bins=20, figscale=1):\n",
              "  from matplotlib import pyplot as plt\n",
              "  figsize = (8 * figscale, 4 * figscale)\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  plt.hist(df[colname], bins=num_bins, histtype='stepfilled')\n",
              "  plt.ylabel('count')\n",
              "  plt.title(colname)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = histogram(_df_13, *['AAPL'], **{})\n",
              "chart"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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              "rkJggg==\n",
              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-0c800f83-bcd9-482d-9918-213e4f70be69\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-0c800f83-bcd9-482d-9918-213e4f70be69\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ],
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "\n",
              "def histogram(df, colname, num_bins=20, figscale=1):\n",
              "  from matplotlib import pyplot as plt\n",
              "  figsize = (8 * figscale, 4 * figscale)\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  plt.hist(df[colname], bins=num_bins, histtype='stepfilled')\n",
              "  plt.ylabel('count')\n",
              "  plt.title(colname)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = histogram(_df_14, *['AMZN'], **{})\n",
              "chart"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-e269f856-dfec-47c5-b9cf-a28bc97b75a1\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-e269f856-dfec-47c5-b9cf-a28bc97b75a1\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ],
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "\n",
              "def histogram(df, colname, num_bins=20, figscale=1):\n",
              "  from matplotlib import pyplot as plt\n",
              "  figsize = (8 * figscale, 4 * figscale)\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  plt.hist(df[colname], bins=num_bins, histtype='stepfilled')\n",
              "  plt.ylabel('count')\n",
              "  plt.title(colname)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = histogram(_df_15, *['GOOG'], **{})\n",
              "chart"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-452d986a-1095-4774-9721-e11093543328\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-452d986a-1095-4774-9721-e11093543328\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ],
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "\n",
              "def histogram(df, colname, num_bins=20, figscale=1):\n",
              "  from matplotlib import pyplot as plt\n",
              "  figsize = (8 * figscale, 4 * figscale)\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  plt.hist(df[colname], bins=num_bins, histtype='stepfilled')\n",
              "  plt.ylabel('count')\n",
              "  plt.title(colname)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = histogram(_df_16, *['MSFT'], **{})\n",
              "chart"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">2-d distributions</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ],
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7f98293f7730>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-36bf25b0-0789-425b-a2fd-65110b379266\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-36bf25b0-0789-425b-a2fd-65110b379266\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ],
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "\n",
              "def scatter_plots(df, colname_pairs, figscale=1, alpha=.6):\n",
              "  from matplotlib import pyplot as plt\n",
              "  figsize = (len(colname_pairs) * 10 * figscale, 10 * figscale)\n",
              "  plt.figure(figsize=figsize)\n",
              "  for plot_i, (x_colname, y_colname) in enumerate(colname_pairs, start=1):\n",
              "    ax = plt.subplot(1, len(colname_pairs), plot_i)\n",
              "    # Note: `32*figscale` may be too large; scaling by # of datapoints may be\n",
              "    # wiser.\n",
              "    ax.scatter(df[x_colname], df[y_colname], s=(32 * figscale), alpha=alpha)\n",
              "    plt.xlabel(x_colname)\n",
              "    plt.ylabel(y_colname)\n",
              "    ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = scatter_plots(_df_17, *[[['AAPL', 'AMZN'], ['AMZN', 'GOOG'], ['GOOG', 'MSFT']]], **{})\n",
              "chart"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "aipkSWB9Nb3a",
        "outputId": "9ef1e4ad-bd84-4e7b-ef51-5cded461e480"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plot actual and predicted stock prices for each stock\n",
        "plt.figure(figsize=(10, 6))\n",
        "for stock_symbol in stock_symbols:\n",
        "    plt.plot(test_data.index, test_data[stock_symbol].values, label=f'Actual {stock_symbol}')\n",
        "    plt.plot(test_data.index, predictions[stock_symbol], label=f'Predicted {stock_symbol}')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Stock Price')\n",
        "plt.title('Stock Price Prediction for Multiple Stocks')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "JQowp_AETo1c",
        "outputId": "75b41e25-f591-46c4-e910-51993d5be39b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 700x300 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 700x300 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 700x300 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 700x300 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plot actual and predicted stock prices for each stock separately\n",
        "for stock_symbol in stock_symbols:\n",
        "    plt.figure(figsize=(7,3))\n",
        "    plt.subplots_adjust(top=1.25, bottom=1.2)\n",
        "    plt.plot(test_data.index, test_data[stock_symbol].values, label=f'Actual {stock_symbol}')\n",
        "    plt.plot(test_data.index, predictions[stock_symbol], label=f'Predicted {stock_symbol}')\n",
        "    plt.xlabel('Date')\n",
        "    plt.ylabel('Stock Price')\n",
        "    plt.title(f'Stock Price Prediction for {stock_symbol}')\n",
        "    plt.legend()\n",
        "    # plt.show()\n",
        "    plt.tight_layout()"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.10.11"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}