stock_market_price_prediction.ipynb

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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import yfinance as yf\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from keras.layers import Dense, Dropout, LSTM\n",
        "from keras.models import Sequential"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "start , end = '2012-01-01' , '2022-12-21'\n",
        "stock = 'GOOG' # add symbol here\n",
        "\n",
        "data = yf.download(stock, start, end)"
      ],
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          "text": [
            "\r[*********************100%%**********************]  1 of 1 completed\n"
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        "data.reset_index(inplace=True)"
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      "execution_count": 5,
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              "           Date       Open       High        Low      Close  Adj Close  \\\n",
              "0    2012-01-03  16.262545  16.641375  16.248346  16.573130  16.573130   \n",
              "1    2012-01-04  16.563665  16.693678  16.453827  16.644611  16.644611   \n",
              "2    2012-01-05  16.491436  16.537264  16.344486  16.413727  16.413727   \n",
              "3    2012-01-06  16.417213  16.438385  16.184088  16.189817  16.189817   \n",
              "4    2012-01-09  16.102144  16.114599  15.472754  15.503389  15.503389   \n",
              "...         ...        ...        ...        ...        ...        ...   \n",
              "2756 2022-12-14  95.540001  97.220001  93.940002  95.309998  95.309998   \n",
              "2757 2022-12-15  93.540001  94.029999  90.430000  91.199997  91.199997   \n",
              "2758 2022-12-16  91.199997  91.750000  90.010002  90.860001  90.860001   \n",
              "2759 2022-12-19  90.879997  91.199997  88.925003  89.150002  89.150002   \n",
              "2760 2022-12-20  88.730003  89.779999  88.040001  89.629997  89.629997   \n",
              "\n",
              "         Volume  \n",
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              "4     233776981  \n",
              "...         ...  \n",
              "2756   26452900  \n",
              "2757   28298800  \n",
              "2758   48485500  \n",
              "2759   23020500  \n",
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              "      <th>Date</th>\n",
              "      <th>Open</th>\n",
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              "      <td>2012-01-03</td>\n",
              "      <td>16.262545</td>\n",
              "      <td>16.641375</td>\n",
              "      <td>16.248346</td>\n",
              "      <td>16.573130</td>\n",
              "      <td>16.573130</td>\n",
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              "      <th>1</th>\n",
              "      <td>2012-01-04</td>\n",
              "      <td>16.563665</td>\n",
              "      <td>16.693678</td>\n",
              "      <td>16.453827</td>\n",
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              "      <th>2</th>\n",
              "      <td>2012-01-05</td>\n",
              "      <td>16.491436</td>\n",
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              "      <td>16.344486</td>\n",
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              "      <td>16.417213</td>\n",
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              "      <th>4</th>\n",
              "      <td>2012-01-09</td>\n",
              "      <td>16.102144</td>\n",
              "      <td>16.114599</td>\n",
              "      <td>15.472754</td>\n",
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              "      <th>2758</th>\n",
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              "        google.colab.notebook.generateWithVariable('data');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ma_100_days = data.Close.rolling(100).mean()"
      ],
      "metadata": {
        "id": "xQS_b6I939sj"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "plt.plot(ma_100_days, 'r')\n",
        "plt.plot(data.Close, 'g')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 522
        },
        "id": "1TtO-5Mb4Crm",
        "outputId": "984d275b-3d86-4af9-8842-ece78ddf1548"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ma_200_days = data.Close.rolling(200).mean()"
      ],
      "metadata": {
        "id": "SfNps7Um4EGn"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "plt.plot(ma_100_days, 'r')\n",
        "plt.plot(ma_200_days,'b')\n",
        "plt.plot(data.Close,'g')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 522
        },
        "id": "FXOWLC_84G5I",
        "outputId": "abe347d1-ebfa-45e2-900c-a6f311792bac"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.dropna(inplace=True)"
      ],
      "metadata": {
        "id": "gOBHF_9O4JKa"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_train = pd.DataFrame(data.Close[0: int(len(data)*0.80)])\n",
        "data_test = pd.DataFrame(data.Close[int(len(data)*0.80): len(data)])"
      ],
      "metadata": {
        "id": "Ctd16hZY4Lwr"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_train.shape[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PeFuVv7K4NVu",
        "outputId": "3d8bc047-fe0e-4205-86e8-501f75c6a250"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2208"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_test.shape[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xhJ5NbLT4O39",
        "outputId": "5a2cc26c-0c45-413e-d4f3-a4788435d4a0"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "553"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "scaler = MinMaxScaler(feature_range=(0,1))"
      ],
      "metadata": {
        "id": "Q6dX66uy4Qze"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_train_scale = scaler.fit_transform(data_train)"
      ],
      "metadata": {
        "id": "xpzfQi_P4aoz"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x = []\n",
        "y = []\n",
        "\n",
        "for i in range(100, data_train_scale.shape[0]):\n",
        "    x.append(data_train_scale[i-100:i])\n",
        "    y.append(data_train_scale[i,0])\n",
        "\n",
        "x, y = np.array(x), np.array(y)"
      ],
      "metadata": {
        "id": "3sKBUyiP4ciL"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = Sequential()\n",
        "model.add(LSTM(units = 50, activation = 'relu', return_sequences = True,\n",
        "               input_shape = ((x.shape[1],1))))\n",
        "model.add(Dropout(0.2))\n",
        "\n",
        "model.add(LSTM(units = 60, activation='relu', return_sequences = True))\n",
        "model.add(Dropout(0.3))\n",
        "\n",
        "model.add(LSTM(units = 80, activation = 'relu', return_sequences = True))\n",
        "model.add(Dropout(0.4))\n",
        "\n",
        "model.add(LSTM(units = 120, activation = 'relu'))\n",
        "model.add(Dropout(0.5))\n",
        "\n",
        "model.add(Dense(units =1))"
      ],
      "metadata": {
        "id": "rW-0C7Ya4iNH"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.compile(optimizer = 'adam', loss = 'mean_squared_error')"
      ],
      "metadata": {
        "id": "Myof2oi94qf0"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.fit(x,y, epochs = 50, batch_size =32, verbose =1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PLv5sGRq4s2d",
        "outputId": "0028d020-f05a-4546-8cab-e452d84aa816"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/50\n",
            "66/66 [==============================] - 25s 286ms/step - loss: 0.0344\n",
            "Epoch 2/50\n",
            "66/66 [==============================] - 20s 300ms/step - loss: 0.0079\n",
            "Epoch 3/50\n",
            "66/66 [==============================] - 18s 275ms/step - loss: 0.0062\n",
            "Epoch 4/50\n",
            "66/66 [==============================] - 18s 280ms/step - loss: 0.0056\n",
            "Epoch 5/50\n",
            "66/66 [==============================] - 20s 294ms/step - loss: 0.0059\n",
            "Epoch 6/50\n",
            "66/66 [==============================] - 19s 288ms/step - loss: 0.0051\n",
            "Epoch 7/50\n",
            "66/66 [==============================] - 20s 299ms/step - loss: 0.0045\n",
            "Epoch 8/50\n",
            "66/66 [==============================] - 19s 280ms/step - loss: 0.0051\n",
            "Epoch 9/50\n",
            "66/66 [==============================] - 19s 282ms/step - loss: 0.0043\n",
            "Epoch 10/50\n",
            "66/66 [==============================] - 20s 305ms/step - loss: 0.0038\n",
            "Epoch 11/50\n",
            "66/66 [==============================] - 18s 279ms/step - loss: 0.0038\n",
            "Epoch 12/50\n",
            "66/66 [==============================] - 19s 290ms/step - loss: 0.0040\n",
            "Epoch 13/50\n",
            "66/66 [==============================] - 20s 293ms/step - loss: 0.0040\n",
            "Epoch 14/50\n",
            "66/66 [==============================] - 18s 279ms/step - loss: 0.0034\n",
            "Epoch 15/50\n",
            "66/66 [==============================] - 20s 302ms/step - loss: 0.0036\n",
            "Epoch 16/50\n",
            "66/66 [==============================] - 19s 281ms/step - loss: 0.0034\n",
            "Epoch 17/50\n",
            "66/66 [==============================] - 18s 277ms/step - loss: 0.0031\n",
            "Epoch 18/50\n",
            "66/66 [==============================] - 20s 305ms/step - loss: 0.0029\n",
            "Epoch 19/50\n",
            "66/66 [==============================] - 18s 275ms/step - loss: 0.0031\n",
            "Epoch 20/50\n",
            "66/66 [==============================] - 18s 276ms/step - loss: 0.0027\n",
            "Epoch 21/50\n",
            "66/66 [==============================] - 20s 304ms/step - loss: 0.0032\n",
            "Epoch 22/50\n",
            "66/66 [==============================] - 18s 278ms/step - loss: 0.0026\n",
            "Epoch 23/50\n",
            "66/66 [==============================] - 19s 283ms/step - loss: 0.0027\n",
            "Epoch 24/50\n",
            "66/66 [==============================] - 20s 299ms/step - loss: 0.0024\n",
            "Epoch 25/50\n",
            "66/66 [==============================] - 18s 281ms/step - loss: 0.0024\n",
            "Epoch 26/50\n",
            "66/66 [==============================] - 21s 319ms/step - loss: 0.0025\n",
            "Epoch 27/50\n",
            "66/66 [==============================] - 19s 293ms/step - loss: 0.0025\n",
            "Epoch 28/50\n",
            "66/66 [==============================] - 20s 310ms/step - loss: 0.0025\n",
            "Epoch 29/50\n",
            "66/66 [==============================] - 19s 289ms/step - loss: 0.0023\n",
            "Epoch 30/50\n",
            "66/66 [==============================] - 19s 292ms/step - loss: 0.0021\n",
            "Epoch 31/50\n",
            "66/66 [==============================] - 21s 314ms/step - loss: 0.0022\n",
            "Epoch 32/50\n",
            "66/66 [==============================] - 19s 284ms/step - loss: 0.0025\n",
            "Epoch 33/50\n",
            "66/66 [==============================] - 21s 325ms/step - loss: 0.0022\n",
            "Epoch 34/50\n",
            "66/66 [==============================] - 20s 293ms/step - loss: 0.0021\n",
            "Epoch 35/50\n",
            "66/66 [==============================] - 19s 283ms/step - loss: 0.0021\n",
            "Epoch 36/50\n",
            "66/66 [==============================] - 21s 312ms/step - loss: 0.0019\n",
            "Epoch 37/50\n",
            "66/66 [==============================] - 19s 290ms/step - loss: 0.0020\n",
            "Epoch 38/50\n",
            "66/66 [==============================] - 20s 299ms/step - loss: 0.0020\n",
            "Epoch 39/50\n",
            "66/66 [==============================] - 19s 292ms/step - loss: 0.0020\n",
            "Epoch 40/50\n",
            "66/66 [==============================] - 19s 289ms/step - loss: 0.0020\n",
            "Epoch 41/50\n",
            "66/66 [==============================] - 20s 306ms/step - loss: 0.0018\n",
            "Epoch 42/50\n",
            "66/66 [==============================] - 18s 280ms/step - loss: 0.0022\n",
            "Epoch 43/50\n",
            "66/66 [==============================] - 19s 285ms/step - loss: 0.0022\n",
            "Epoch 44/50\n",
            "66/66 [==============================] - 20s 297ms/step - loss: 0.0019\n",
            "Epoch 45/50\n",
            "66/66 [==============================] - 19s 286ms/step - loss: 0.0018\n",
            "Epoch 46/50\n",
            "66/66 [==============================] - 20s 308ms/step - loss: 0.0018\n",
            "Epoch 47/50\n",
            "66/66 [==============================] - 19s 284ms/step - loss: 0.0020\n",
            "Epoch 48/50\n",
            "66/66 [==============================] - 19s 281ms/step - loss: 0.0021\n",
            "Epoch 49/50\n",
            "66/66 [==============================] - 20s 310ms/step - loss: 0.0019\n",
            "Epoch 50/50\n",
            "66/66 [==============================] - 18s 278ms/step - loss: 0.0021\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.src.callbacks.History at 0x7ee6d0932860>"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.summary()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DIRtZxGr4ulG",
        "outputId": "e2aa8be0-4371-4e20-8edf-4ec9ed7b5179"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " lstm (LSTM)                 (None, 100, 50)           10400     \n",
            "                                                                 \n",
            " dropout (Dropout)           (None, 100, 50)           0         \n",
            "                                                                 \n",
            " lstm_1 (LSTM)               (None, 100, 60)           26640     \n",
            "                                                                 \n",
            " dropout_1 (Dropout)         (None, 100, 60)           0         \n",
            "                                                                 \n",
            " lstm_2 (LSTM)               (None, 100, 80)           45120     \n",
            "                                                                 \n",
            " dropout_2 (Dropout)         (None, 100, 80)           0         \n",
            "                                                                 \n",
            " lstm_3 (LSTM)               (None, 120)               96480     \n",
            "                                                                 \n",
            " dropout_3 (Dropout)         (None, 120)               0         \n",
            "                                                                 \n",
            " dense (Dense)               (None, 1)                 121       \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 178761 (698.29 KB)\n",
            "Trainable params: 178761 (698.29 KB)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pas_100_days = data_train.tail(100)"
      ],
      "metadata": {
        "id": "TFv3h34d-qyT"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_test = pd.concat([pas_100_days, data_test], ignore_index=True)"
      ],
      "metadata": {
        "id": "CWpe0v1L-s40"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_test_scale  =  scaler.fit_transform(data_test)"
      ],
      "metadata": {
        "id": "lNIZKXrb-ufV"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x = []\n",
        "y = []\n",
        "\n",
        "for i in range(100, data_test_scale.shape[0]):\n",
        "    x.append(data_test_scale[i-100:i])\n",
        "    y.append(data_test_scale[i,0])\n",
        "x, y = np.array(x), np.array(y)"
      ],
      "metadata": {
        "id": "wtoR5jPr-vzl"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y_predict = model.predict(x)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GbbJLTC2-x92",
        "outputId": "703b75bd-b9d2-4a01-fb67-38ce25149e09"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "18/18 [==============================] - 3s 105ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "scale =1/scaler.scale_"
      ],
      "metadata": {
        "id": "5x3uylLw-zho"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y_predict = y_predict*scale"
      ],
      "metadata": {
        "id": "WIMsv_Nd-36q"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y = y*scale"
      ],
      "metadata": {
        "id": "OoThaiup-5Ub"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "plt.plot(y_predict, 'r', label = 'Predicted Price')\n",
        "plt.plot(y, 'g', label = 'Original Price')\n",
        "plt.xlabel('Time')\n",
        "plt.ylabel('Price')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 696
        },
        "id": "WYvmAESP-6cb",
        "outputId": "7ce46892-8014-4959-cad9-be52fd3a9112"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.save('Stock Predictions Model.keras')"
      ],
      "metadata": {
        "id": "ae31e7_P-7_c"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "fEb8giC2_AMO"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}