stock_price_detction.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "stock_price_detction.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOGD9+07LgFKhyT40TKr8FR",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/bhubam/credit/blob/master/stock_price_detction.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Rzft4X0CUK2f",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import math\n",
        "import pandas_datareader as web\n",
        "from sklearn.tree import DecisionTreeRegressor\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "import matplotlib.pyplot as plt\n",
        "plt.style.use('bmh')"
      ],
      "execution_count": 70,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zZczbC62VY69",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 446
        },
        "outputId": "c837dc95-1fad-43ec-ec94-fdf05ff1f88e"
      },
      "source": [
        "df = web.DataReader('NFLX',data_source='yahoo',start='2012-01-01',end='2019-12-17')\n",
        "df"
      ],
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Open</th>\n",
              "      <th>Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Adj Close</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2012-01-03</th>\n",
              "      <td>10.388572</td>\n",
              "      <td>10.018572</td>\n",
              "      <td>10.040000</td>\n",
              "      <td>10.320000</td>\n",
              "      <td>29213800.0</td>\n",
              "      <td>10.320000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-01-04</th>\n",
              "      <td>11.567142</td>\n",
              "      <td>10.258572</td>\n",
              "      <td>10.335714</td>\n",
              "      <td>11.492857</td>\n",
              "      <td>100489900.0</td>\n",
              "      <td>11.492857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-01-05</th>\n",
              "      <td>11.694285</td>\n",
              "      <td>11.040000</td>\n",
              "      <td>11.345715</td>\n",
              "      <td>11.328571</td>\n",
              "      <td>86552900.0</td>\n",
              "      <td>11.328571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-01-06</th>\n",
              "      <td>12.471429</td>\n",
              "      <td>11.242857</td>\n",
              "      <td>11.302857</td>\n",
              "      <td>12.327143</td>\n",
              "      <td>125610800.0</td>\n",
              "      <td>12.327143</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-01-09</th>\n",
              "      <td>14.235714</td>\n",
              "      <td>12.448571</td>\n",
              "      <td>12.801429</td>\n",
              "      <td>14.025714</td>\n",
              "      <td>214073300.0</td>\n",
              "      <td>14.025714</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-12-11</th>\n",
              "      <td>299.429993</td>\n",
              "      <td>294.200012</td>\n",
              "      <td>294.489990</td>\n",
              "      <td>298.929993</td>\n",
              "      <td>5589800.0</td>\n",
              "      <td>298.929993</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-12-12</th>\n",
              "      <td>299.170013</td>\n",
              "      <td>295.059998</td>\n",
              "      <td>295.670013</td>\n",
              "      <td>298.440002</td>\n",
              "      <td>4766600.0</td>\n",
              "      <td>298.440002</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-12-13</th>\n",
              "      <td>301.799988</td>\n",
              "      <td>297.250000</td>\n",
              "      <td>298.500000</td>\n",
              "      <td>298.500000</td>\n",
              "      <td>3879700.0</td>\n",
              "      <td>298.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-12-16</th>\n",
              "      <td>305.709991</td>\n",
              "      <td>298.630005</td>\n",
              "      <td>300.850006</td>\n",
              "      <td>304.209991</td>\n",
              "      <td>4658900.0</td>\n",
              "      <td>304.209991</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-12-17</th>\n",
              "      <td>316.799988</td>\n",
              "      <td>306.600006</td>\n",
              "      <td>307.359985</td>\n",
              "      <td>315.480011</td>\n",
              "      <td>10427100.0</td>\n",
              "      <td>315.480011</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2003 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  High         Low  ...       Volume   Adj Close\n",
              "Date                                ...                         \n",
              "2012-01-03   10.388572   10.018572  ...   29213800.0   10.320000\n",
              "2012-01-04   11.567142   10.258572  ...  100489900.0   11.492857\n",
              "2012-01-05   11.694285   11.040000  ...   86552900.0   11.328571\n",
              "2012-01-06   12.471429   11.242857  ...  125610800.0   12.327143\n",
              "2012-01-09   14.235714   12.448571  ...  214073300.0   14.025714\n",
              "...                ...         ...  ...          ...         ...\n",
              "2019-12-11  299.429993  294.200012  ...    5589800.0  298.929993\n",
              "2019-12-12  299.170013  295.059998  ...    4766600.0  298.440002\n",
              "2019-12-13  301.799988  297.250000  ...    3879700.0  298.500000\n",
              "2019-12-16  305.709991  298.630005  ...    4658900.0  304.209991\n",
              "2019-12-17  316.799988  306.600006  ...   10427100.0  315.480011\n",
              "\n",
              "[2003 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ILXxSJmqWIW2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "c8932053-9003-402f-facb-30d5dc583267"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2003, 6)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o_OeZ1YBYVaf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        },
        "outputId": "8ac4e94c-a4d8-4ffc-b2b2-1730a9ae45b4"
      },
      "source": [
        "plt.figure(figsize=(16,8))\n",
        "plt.title('Netflix')\n",
        "plt.xlabel('Days')\n",
        "plt.ylabel('Close Price')\n",
        "plt.plot(df['Close'])\n",
        "plt.show()"
      ],
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4Pu-b-2OY4Zx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        },
        "outputId": "c0973404-5bea-4366-c265-227428865640"
      },
      "source": [
        "df=df.filter(['Close'])\n",
        "df.head(4)"
      ],
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Close</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2012-01-03</th>\n",
              "      <td>10.320000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-01-04</th>\n",
              "      <td>11.492857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-01-05</th>\n",
              "      <td>11.328571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012-01-06</th>\n",
              "      <td>12.327143</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                Close\n",
              "Date                 \n",
              "2012-01-03  10.320000\n",
              "2012-01-04  11.492857\n",
              "2012-01-05  11.328571\n",
              "2012-01-06  12.327143"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "prYsK9lgZHJ6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        },
        "outputId": "e385e6a5-c15c-4c02-fff9-df2e1a590764"
      },
      "source": [
        "\n",
        "f_d = 250\n",
        "df['Prediction']=df['Close'].shift(-f_d)\n",
        "df.tail(4)"
      ],
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Close</th>\n",
              "      <th>Prediction</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2019-12-12</th>\n",
              "      <td>298.440002</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-12-13</th>\n",
              "      <td>298.500000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-12-16</th>\n",
              "      <td>304.209991</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-12-17</th>\n",
              "      <td>315.480011</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 Close  Prediction\n",
              "Date                              \n",
              "2019-12-12  298.440002         NaN\n",
              "2019-12-13  298.500000         NaN\n",
              "2019-12-16  304.209991         NaN\n",
              "2019-12-17  315.480011         NaN"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W7Rv_mZHbCb4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 139
        },
        "outputId": "b49e5d1b-1aed-4faf-bfc5-09451bf1808a"
      },
      "source": [
        "X = np.array(df.drop(['Prediction'], 1))[:-f_d]\n",
        "print(X)"
      ],
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[ 10.31999969]\n",
            " [ 11.49285698]\n",
            " [ 11.32857132]\n",
            " ...\n",
            " [262.79998779]\n",
            " [270.94000244]\n",
            " [266.76998901]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MfHO3QnQcHWf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "e807bf1c-d3e2-4601-bf5d-e03e7ef19bc3"
      },
      "source": [
        "y = np.array(df['Prediction'])[:-f_d]\n",
        "print(y)"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[ 13.14428616  13.79857159  13.71142864 ... 298.5        304.20999146\n",
            " 315.48001099]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GB_DekI2ctbn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "x_train,x_test,y_train,y_test = train_test_split(X,y,test_size = 0.25)"
      ],
      "execution_count": 81,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gZyJ14G0dR8W",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tree = DecisionTreeRegressor().fit(x_train,y_train)\n",
        "lr= LinearRegression().fit(x_train,y_train)"
      ],
      "execution_count": 82,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "34RNhnFudh4_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "245c8e47-d505-4da8-8bbc-a31849dbc8ff"
      },
      "source": [
        "x_f = df.drop(['Prediction'],1)[:-f_d]\n",
        "x_f=x_f.tail(f_d)\n",
        "x_f=np.array(x_f)\n",
        "x_f"
      ],
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
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              "       [285.80999756],\n",
              "       [301.77999878],\n",
              "       [317.38000488],\n",
              "       [309.1000061 ],\n",
              "       [315.44000244],\n",
              "       [310.83999634],\n",
              "       [327.5       ],\n",
              "       [317.92001343],\n",
              "       [303.47000122],\n",
              "       [294.07000732],\n",
              "       [294.3999939 ],\n",
              "       [286.73001099],\n",
              "       [290.05999756],\n",
              "       [286.20999146],\n",
              "       [270.6000061 ],\n",
              "       [266.98001099],\n",
              "       [262.13000488],\n",
              "       [258.82000732],\n",
              "       [261.42999268],\n",
              "       [266.63000488],\n",
              "       [282.6499939 ],\n",
              "       [288.75      ],\n",
              "       [286.13000488],\n",
              "       [290.29998779],\n",
              "       [275.32998657],\n",
              "       [282.88000488],\n",
              "       [265.14001465],\n",
              "       [269.70001221],\n",
              "       [265.32000732],\n",
              "       [274.88000488],\n",
              "       [276.01998901],\n",
              "       [266.83999634],\n",
              "       [262.79998779],\n",
              "       [270.94000244],\n",
              "       [266.76998901]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ofThET8Fd-nh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "bd7b585b-ffbf-4272-8eec-db52a5982ce7"
      },
      "source": [
        "tree_p =tree.predict(x_f)\n",
        "print(tree_p)\n",
        "print()\n",
        "lr_p=lr.predict(x_f)\n",
        "print(lr_p)"
      ],
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[260.57998657 266.83999634 233.88000488 350.3500061  255.57000732\n",
            " 256.07998657 309.1000061  267.66000366 271.20001221 297.57000732\n",
            " 315.33999634 320.26998901 319.95999146 354.64001465 337.58999634\n",
            " 337.58999634 354.64001465 351.39001465 353.19000244 339.1000061\n",
            " 325.16000366 321.98999023 326.67001343 338.04998779 335.66000366\n",
            " 328.8999939  340.66000366 339.5        339.8500061  351.33999634\n",
            " 351.76998901 352.19000244 344.70999146 347.57000732 345.73001099\n",
            " 345.73001099 351.76998901 359.07000732 356.86999512 356.86999512\n",
            " 359.91000366 356.97000122 363.01998901 363.91000366 364.97000122\n",
            " 362.86999512 358.1000061  357.32000732 351.04000854 356.80499268\n",
            " 359.60998535 352.6000061  349.6000061  358.85998535 356.26998901\n",
            " 358.85998535 358.82000732 361.45999146 363.44000244 358.77999878\n",
            " 375.22000122 377.86999512 361.01000977 366.23001099 359.97000122\n",
            " 353.36999512 354.60998535 356.55999756 304.32000732 367.72000122\n",
            " 369.75       367.72000122 365.48999023 361.41000366 364.70999146\n",
            " 363.92001343 379.05999756 351.14001465 348.86999512 332.70001221\n",
            " 354.73999023 288.58999634 377.33999634 381.89001465 374.23001099\n",
            " 368.32998657 374.8500061  271.5        370.54000854 378.80999756\n",
            " 379.05999756 366.23001099 378.67001343 370.45999146 364.36999512\n",
            " 362.75       361.04000854 345.26000977 345.60998535 354.98999023\n",
            " 356.80499268 354.45001221 354.26998901 354.26998901 319.5\n",
            " 274.45999146 354.39001465 294.29000854 335.77999878 351.8500061\n",
            " 343.27999878 336.63000488 353.3999939  355.73001099 357.13000488\n",
            " 360.86999512 352.01000977 268.1499939  365.98999023 339.73001099\n",
            " 339.73001099 362.20001221 357.11999512 363.51998901 365.20999146\n",
            " 379.5        267.61999512 360.29998779 362.20001221 370.01998901\n",
            " 367.32000732 374.6000061  362.20001221 381.72000122 380.54998779\n",
            " 381.         365.20999146 381.         379.5        370.01998901\n",
            " 366.6000061  365.98999023 362.44000244 325.20999146 315.1000061\n",
            " 310.61999512 287.98999023 317.94000244 326.45999146 335.77999878\n",
            " 332.70001221 325.92999268 298.98999023 319.5        318.82998657\n",
            " 307.63000488 310.1000061  304.29000854 274.45999146 308.92999268\n",
            " 310.82998657 312.27999878 299.10998535 295.76000977 302.79998779\n",
            " 288.58999634 298.98999023 319.5        296.92999268 291.44000244\n",
            " 294.98001099 291.02999878 291.76998901 296.77999878 293.75\n",
            " 289.29000854 310.82998657 293.25       294.33999634 294.33999634\n",
            " 287.98999023 288.26998901 288.85998535 294.1499939  294.29000854\n",
            " 298.6000061  355.73001099 286.6000061  270.75       265.92001343\n",
            " 254.58999634 264.75       263.30999756 263.07998657 267.61999512\n",
            " 269.57998657 268.02999878 268.1499939  354.39001465 274.45999146\n",
            " 270.72000122 267.52999878 358.82000732 282.92999268 354.73999023\n",
            " 284.25       286.27999878 293.3500061  275.29998779 278.04998779\n",
            " 354.73999023 271.26998901 271.5        359.97000122 335.66000366\n",
            " 353.36999512 291.45001221 287.41000366 286.80999756 292.85998535\n",
            " 288.02999878 288.58999634 289.57000732 291.57000732 294.17999268\n",
            " 292.01000977 283.10998535 289.61999512 363.01998901 302.57000732\n",
            " 298.44000244 298.5        311.69000244 321.98999023 315.54998779\n",
            " 312.48999023 367.72000122 363.01998901 358.1000061  306.16000366\n",
            " 304.32000732 302.85998535 326.67001343 302.5        293.11999512\n",
            " 298.92999268 298.44000244 298.5        302.57000732 315.48001099]\n",
            "\n",
            "[233.34562472 234.66460348 232.48629422 230.96748959 237.43244936\n",
            " 236.68303376 245.78593582 249.76283031 250.34238021 254.69898348\n",
            " 256.75737588 254.01950541 257.22701088 261.94333425 265.93021547\n",
            " 266.22998476 262.20312617 265.03092285 265.16082643 272.27527362\n",
            " 294.96756935 305.96898482 314.36246389 319.25863969 329.24084568\n",
            " 323.45534874 314.96197198 309.73606673 312.09421317 298.93447712\n",
            " 310.38555415 309.22645437 294.7777302  294.14821622 302.62161955\n",
            " 302.94134702 310.66533475 324.92420453 323.17556813 323.20554354\n",
            " 325.69362405 322.79588985 330.57979789 338.80339601 335.25614389\n",
            " 336.02556342 335.03634459 345.68801144 359.62715373 369.83919148\n",
            " 365.78235749 361.62559532 376.05434605 365.92223255 360.50647291\n",
            " 366.17203775 365.71240472 363.07447767 358.1083491  362.12520572\n",
            " 361.10601149 351.33363333 345.57811179 364.97299109 345.32830659\n",
            " 330.4199189  339.9924712  324.94420846 328.32157963 333.58746224\n",
            " 338.61354162 333.49753603 334.57668107 342.71035298 348.30599554\n",
            " 353.88163416 356.27975797 352.41277837 380.67074125 379.13193268\n",
            " 377.31337401 372.38719231 363.31428091 351.65336081 350.39436334\n",
            " 358.6079595  356.38968811 357.08912437 357.92846618 357.98841699\n",
            " 356.31973534 364.71318392 370.87838965 371.50790363 374.91521971\n",
            " 374.21578345 371.07821551 373.14660988 370.74848607 372.80687846\n",
            " 369.83919148 368.79999332 376.43405483 376.23419847 389.32399699\n",
            " 393.89044335 395.88888494 394.33010294 398.13713173 396.19864095\n",
            " 404.52213676 406.40067673 410.38755795 412.03629665 405.99099255\n",
            " 405.1616527  406.04097188 408.41909176 424.50655267 437.4364722\n",
            " 436.54718155 434.96839562 449.53705189 461.30787164 459.98889287\n",
            " 455.64227631 429.05302558 443.9514113  434.95842414 439.98450352\n",
            " 435.99759181 442.74233218 435.08829723 442.95219051 452.80449291\n",
            " 463.51614106 460.17874726 463.19638309 458.05040209 440.36418181\n",
            " 445.04055831 424.0569216  419.71030505 408.81880447 405.64125917\n",
            " 407.25002051 401.91418512 407.45984833 407.67967813 399.80581338\n",
            " 379.57159227 382.05967279 382.98894081 389.1041672  387.69526222\n",
            " 395.51917812 396.42844221 392.21172924 393.96036563 390.47309481\n",
            " 385.91665042 382.09961967 371.0182647  367.06135889 361.40576553\n",
            " 372.34724544 382.62920547 389.04421639 383.77833378 403.41301631\n",
            " 409.16850736 413.07546433 412.62583326 415.56354484 412.26609792\n",
            " 408.18929049 385.78674684 391.06263142 393.28090281 393.01112417\n",
            " 400.52525357 414.53434864 412.73573291 409.14853392 394.94961495\n",
            " 412.23612252 411.54665773 409.94789836 405.78116472 414.19458674\n",
            " 414.01473431 422.45816223 425.28594367 418.71108425 426.00538386\n",
            " 421.7187486  421.6287919  408.23923934 395.94883575 393.70058896\n",
            " 400.30542378 370.50868283 365.72240668 384.16801403 377.74303163\n",
            " 391.00268061 409.28843947 391.31243662 377.28339861 374.15583264\n",
            " 377.77300704 346.46740244 357.49880856 344.46896085 329.49065088\n",
            " 330.45989627 346.4174536  362.0053041  353.73175714 360.06681332\n",
            " 355.47039156 372.11741368 362.54489187 348.10613918 338.7134698\n",
            " 339.04319925 331.37919282 334.70658465 330.85957849 315.26175651\n",
            " 311.64458211 306.79835515 303.49093676 306.0988884  311.29484873\n",
            " 327.3023549  333.39760785 330.77965424 334.94638789 319.98805136\n",
            " 327.53218666 309.8060195  314.36246389 309.98587193 319.5384203\n",
            " 320.67751615 311.50467656 307.46781601 315.60148792 311.43472379]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WjCyLwC5edsp",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 600
        },
        "outputId": "0f4115f5-a03c-4082-e34a-bc9b67de98f8"
      },
      "source": [
        "pr =tree_p\n",
        "valid = df[X.shape[0]:]\n",
        "valid['Predictions']=pr\n",
        "plt.figure(figsize=(16,8))\n",
        "plt.xlabel('Days')\n",
        "plt.ylabel('Close Price')\n",
        "plt.plot(df['Close'])\n",
        "plt.plot(valid[['Close','Predictions']])\n",
        "plt.legend(['Orig','Val','Pred'])\n",
        "plt.show()"
      ],
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "80-r0RyafdTV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 600
        },
        "outputId": "c93ac441-4082-43d5-eaed-876ca63252ad"
      },
      "source": [
        "pr =lr_p\n",
        "valid = df[X.shape[0]:]\n",
        "valid['Predictions']=pr\n",
        "plt.figure(figsize=(16,8))\n",
        "plt.xlabel('Days')\n",
        "plt.ylabel('Close Price')\n",
        "plt.plot(df['Close'])\n",
        "plt.plot(valid[['Close','Predictions']])\n",
        "plt.legend(['Orig','Val','Pred'])\n",
        "plt.show()"
      ],
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mWEBivCsgTJO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 86,
      "outputs": []
    }
  ]
}