stock_market.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"accelerator":"GPU","colab":{"name":"final.ipynb","provenance":[{"file_id":"1AOe20QAf-ufpBw_Ix5JASTdnUyZJKtTJ","timestamp":1588415149717}],"collapsed_sections":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.4"}},"cells":[{"cell_type":"markdown","metadata":{"colab_type":"text","id":"YviLqh8Y8qn-"},"source":["# Stock Price Prediction Supervised Learning\n"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"B0YFSGdxqnal","outputId":"49ddb2f8-04c2-4cb9-fe20-1a3a89a85719","colab":{"base_uri":"https://localhost:8080/","height":121}},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n","\n","Enter your authorization code:\n","··········\n","Mounted at /content/drive\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"jsZwEpB3qh1y"},"source":["### Importing libraries"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"5R5WdATi8qoF","colab":{}},"source":["import pandas as pd\n","import numpy as np\n","\n","import math,datetime\n","import time\n","\n","import matplotlib.pyplot as plt\n","from matplotlib import style\n","\n","from sklearn.metrics import accuracy_score\n","from sklearn.linear_model import LinearRegression\n","from sklearn.tree import DecisionTreeRegressor\n","from sklearn.neighbors import KNeighborsRegressor\n","from sklearn import model_selection\n","from sklearn.model_selection import train_test_split\n","\n","style.use ('ggplot')"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"2X4bOIWV8qoT"},"source":["### Loading Dataset"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"PrGeA-ux8qoV","colab":{}},"source":["df = pd.read_csv('GOOG.csv',index_col='Date',parse_dates=True)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"Hfk79UbG8qof","outputId":"6613cfae-048b-4413-b1b3-a094df4d9bc0","scrolled":true,"colab":{"base_uri":"https://localhost:8080/","height":134}},"source":["print(df.head())"],"execution_count":0,"outputs":[{"output_type":"stream","text":["                 Open       High        Low      Close  Adj Close    Volume\n","Date                                                                       \n","2004-08-19  49.813286  51.835709  47.800831  49.982655  49.982655  44871300\n","2004-08-20  50.316402  54.336334  50.062355  53.952770  53.952770  22942800\n","2004-08-23  55.168217  56.528118  54.321388  54.495735  54.495735  18342800\n","2004-08-24  55.412300  55.591629  51.591621  52.239193  52.239193  15319700\n","2004-08-25  52.284027  53.798351  51.746044  52.802086  52.802086   9232100\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"BjOhEGI28qoo","outputId":"6e3234d1-bdc0-4532-8c21-92e129548f98","colab":{"base_uri":"https://localhost:8080/","height":431}},"source":["df.drop(['Adj Close'], axis=1)"],"execution_count":0,"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>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Volume</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","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>2004-08-19</td>\n","      <td>49.813286</td>\n","      <td>51.835709</td>\n","      <td>47.800831</td>\n","      <td>49.982655</td>\n","      <td>44871300</td>\n","    </tr>\n","    <tr>\n","      <td>2004-08-20</td>\n","      <td>50.316402</td>\n","      <td>54.336334</td>\n","      <td>50.062355</td>\n","      <td>53.952770</td>\n","      <td>22942800</td>\n","    </tr>\n","    <tr>\n","      <td>2004-08-23</td>\n","      <td>55.168217</td>\n","      <td>56.528118</td>\n","      <td>54.321388</td>\n","      <td>54.495735</td>\n","      <td>18342800</td>\n","    </tr>\n","    <tr>\n","      <td>2004-08-24</td>\n","      <td>55.412300</td>\n","      <td>55.591629</td>\n","      <td>51.591621</td>\n","      <td>52.239193</td>\n","      <td>15319700</td>\n","    </tr>\n","    <tr>\n","      <td>2004-08-25</td>\n","      <td>52.284027</td>\n","      <td>53.798351</td>\n","      <td>51.746044</td>\n","      <td>52.802086</td>\n","      <td>9232100</td>\n","    </tr>\n","    <tr>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-22</td>\n","      <td>1245.540039</td>\n","      <td>1285.613037</td>\n","      <td>1242.000000</td>\n","      <td>1263.209961</td>\n","      <td>2093100</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-23</td>\n","      <td>1271.550049</td>\n","      <td>1293.310059</td>\n","      <td>1265.670044</td>\n","      <td>1276.310059</td>\n","      <td>1566200</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-24</td>\n","      <td>1261.170044</td>\n","      <td>1280.400024</td>\n","      <td>1249.449951</td>\n","      <td>1279.310059</td>\n","      <td>1640400</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-27</td>\n","      <td>1296.000000</td>\n","      <td>1296.150024</td>\n","      <td>1269.000000</td>\n","      <td>1275.880005</td>\n","      <td>1600600</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-28</td>\n","      <td>1287.930054</td>\n","      <td>1288.050049</td>\n","      <td>1232.199951</td>\n","      <td>1233.670044</td>\n","      <td>2898600</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>3950 rows × 5 columns</p>\n","</div>"],"text/plain":["                   Open         High          Low        Close    Volume\n","Date                                                                    \n","2004-08-19    49.813286    51.835709    47.800831    49.982655  44871300\n","2004-08-20    50.316402    54.336334    50.062355    53.952770  22942800\n","2004-08-23    55.168217    56.528118    54.321388    54.495735  18342800\n","2004-08-24    55.412300    55.591629    51.591621    52.239193  15319700\n","2004-08-25    52.284027    53.798351    51.746044    52.802086   9232100\n","...                 ...          ...          ...          ...       ...\n","2020-04-22  1245.540039  1285.613037  1242.000000  1263.209961   2093100\n","2020-04-23  1271.550049  1293.310059  1265.670044  1276.310059   1566200\n","2020-04-24  1261.170044  1280.400024  1249.449951  1279.310059   1640400\n","2020-04-27  1296.000000  1296.150024  1269.000000  1275.880005   1600600\n","2020-04-28  1287.930054  1288.050049  1232.199951  1233.670044   2898600\n","\n","[3950 rows x 5 columns]"]},"metadata":{"tags":[]},"execution_count":6}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"iOI8a0So8qov","outputId":"9aba2f07-aaa0-4f3d-fd46-13d9192248b2","colab":{"base_uri":"https://localhost:8080/","height":394}},"source":["df.plot(kind = 'box', subplots = True, layout = (1,6), sharex = False, sharey = False)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Open            AxesSubplot(0.125,0.125;0.110714x0.755)\n","High         AxesSubplot(0.257857,0.125;0.110714x0.755)\n","Low          AxesSubplot(0.390714,0.125;0.110714x0.755)\n","Close        AxesSubplot(0.523571,0.125;0.110714x0.755)\n","Adj Close    AxesSubplot(0.656429,0.125;0.110714x0.755)\n","Volume       AxesSubplot(0.789286,0.125;0.110714x0.755)\n","dtype: object"]},"metadata":{"tags":[]},"execution_count":7},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 6 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"yIF_ZFxA8qoz","outputId":"2c41df62-327a-42a5-c24b-53f1cf41216c","colab":{"base_uri":"https://localhost:8080/","height":740}},"source":["df.hist(figsize = (10,10))"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000001E0AD70F288>,\n","        <matplotlib.axes._subplots.AxesSubplot object at 0x000001E0AD88BC88>],\n","       [<matplotlib.axes._subplots.AxesSubplot object at 0x000001E0AD8C2608>,\n","        <matplotlib.axes._subplots.AxesSubplot object at 0x000001E0AD8F7FC8>],\n","       [<matplotlib.axes._subplots.AxesSubplot object at 0x000001E0AD930988>,\n","        <matplotlib.axes._subplots.AxesSubplot object at 0x000001E0AD9696C8>]],\n","      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\n","text/plain":["<Figure size 720x720 with 6 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"DPmxI2Nm8qo4","colab":{}},"source":["# Percentage change in Open and Close Price \n","df['OC_Change'] = (df['Close']-df['Open'])/df['Open']*100"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"FD4EaR_y8qo-","colab":{}},"source":["# Percentage change in High and Low Price \n","df['HL_Change'] = (df['High']-df['Low'])/df['Low']*100"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"T2ji-0PZ8qpB","colab":{}},"source":["df = df[['Close','HL_Change','OC_Change','Volume']]"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"kn6KSC0B8qpE","outputId":"5cbfafe3-43ee-48e9-cad5-79f94f89f0fe","colab":{"base_uri":"https://localhost:8080/","height":134}},"source":["print(df.tail()) "],"execution_count":0,"outputs":[{"output_type":"stream","text":["                  Close  HL_Change  OC_Change   Volume\n","Date                                                  \n","2020-04-22  1263.209961   3.511517   1.418655  2093100\n","2020-04-23  1276.310059   2.183825   0.374347  1566200\n","2020-04-24  1279.310059   2.477096   1.438348  1640400\n","2020-04-27  1275.880005   2.139482  -1.552469  1600600\n","2020-04-28  1233.670044   4.532552  -4.212962  2898600\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"WK7vMISq8qpH"},"source":["### Features & Labels"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"rox_2FQu8qpH","outputId":"b25f2207-bbc8-4c19-d799-c5373cbc0769","colab":{"base_uri":"https://localhost:8080/","height":336}},"source":["forecast_Col = 'Close'\n","forecast_out = int(math.ceil(0.01*len(df)))\n","df['label'] = df[forecast_Col].shift(-forecast_out)\n","print(df['label'])"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Date\n","2004-08-19    71.785927\n","2004-08-20    74.301498\n","2004-08-23    73.693779\n","2004-08-24    69.982689\n","2004-08-25    74.411087\n","                ...    \n","2020-04-22          NaN\n","2020-04-23          NaN\n","2020-04-24          NaN\n","2020-04-27          NaN\n","2020-04-28          NaN\n","Name: label, Length: 3950, dtype: float64\n"],"name":"stdout"},{"output_type":"stream","text":["C:\\Users\\Kenny Stryker\\Anaconda3\\lib\\site-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: http://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"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"j5C_Kphe8qpL","outputId":"4351230e-dd33-44da-e6cd-d2d88cd862e6","colab":{"base_uri":"https://localhost:8080/","height":225}},"source":["df.tail()"],"execution_count":0,"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>HL_Change</th>\n","      <th>OC_Change</th>\n","      <th>Volume</th>\n","      <th>label</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","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>2020-04-22</td>\n","      <td>1263.209961</td>\n","      <td>3.511517</td>\n","      <td>1.418655</td>\n","      <td>2093100</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-23</td>\n","      <td>1276.310059</td>\n","      <td>2.183825</td>\n","      <td>0.374347</td>\n","      <td>1566200</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-24</td>\n","      <td>1279.310059</td>\n","      <td>2.477096</td>\n","      <td>1.438348</td>\n","      <td>1640400</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-27</td>\n","      <td>1275.880005</td>\n","      <td>2.139482</td>\n","      <td>-1.552469</td>\n","      <td>1600600</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-28</td>\n","      <td>1233.670044</td>\n","      <td>4.532552</td>\n","      <td>-4.212962</td>\n","      <td>2898600</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                  Close  HL_Change  OC_Change   Volume  label\n","Date                                                         \n","2020-04-22  1263.209961   3.511517   1.418655  2093100    NaN\n","2020-04-23  1276.310059   2.183825   0.374347  1566200    NaN\n","2020-04-24  1279.310059   2.477096   1.438348  1640400    NaN\n","2020-04-27  1275.880005   2.139482  -1.552469  1600600    NaN\n","2020-04-28  1233.670044   4.532552  -4.212962  2898600    NaN"]},"metadata":{"tags":[]},"execution_count":14}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"a78KxVpL8qpN","outputId":"88b5349c-398f-41ae-a39d-5d89ce5bcdd9","colab":{"base_uri":"https://localhost:8080/","height":309}},"source":["df.dropna(inplace=True)\n","df.tail()"],"execution_count":0,"outputs":[{"output_type":"stream","text":["C:\\Users\\Kenny Stryker\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  \"\"\"Entry point for launching an IPython kernel.\n"],"name":"stderr"},{"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>HL_Change</th>\n","      <th>OC_Change</th>\n","      <th>Volume</th>\n","      <th>label</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","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>2020-02-25</td>\n","      <td>1388.449951</td>\n","      <td>4.032117</td>\n","      <td>-3.108866</td>\n","      <td>2478300</td>\n","      <td>1263.209961</td>\n","    </tr>\n","    <tr>\n","      <td>2020-02-26</td>\n","      <td>1393.180054</td>\n","      <td>2.661345</td>\n","      <td>-0.212010</td>\n","      <td>2202400</td>\n","      <td>1276.310059</td>\n","    </tr>\n","    <tr>\n","      <td>2020-02-27</td>\n","      <td>1318.089966</td>\n","      <td>4.140235</td>\n","      <td>-3.228205</td>\n","      <td>2978300</td>\n","      <td>1279.310059</td>\n","    </tr>\n","    <tr>\n","      <td>2020-02-28</td>\n","      <td>1339.329956</td>\n","      <td>5.518491</td>\n","      <td>4.839918</td>\n","      <td>3790600</td>\n","      <td>1275.880005</td>\n","    </tr>\n","    <tr>\n","      <td>2020-03-02</td>\n","      <td>1389.109985</td>\n","      <td>4.827731</td>\n","      <td>2.774469</td>\n","      <td>2431500</td>\n","      <td>1233.670044</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                  Close  HL_Change  OC_Change   Volume        label\n","Date                                                               \n","2020-02-25  1388.449951   4.032117  -3.108866  2478300  1263.209961\n","2020-02-26  1393.180054   2.661345  -0.212010  2202400  1276.310059\n","2020-02-27  1318.089966   4.140235  -3.228205  2978300  1279.310059\n","2020-02-28  1339.329956   5.518491   4.839918  3790600  1275.880005\n","2020-03-02  1389.109985   4.827731   2.774469  2431500  1233.670044"]},"metadata":{"tags":[]},"execution_count":15}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"eLF8ItFA8qpQ"},"source":["### Data Splitting"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"SmCsLzdC8qpQ","colab":{}},"source":["X  =  np.array(df.drop(['label'], axis = 1))\n","Y  =  np.array(df['label'])"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"pxt6oBJu8qpS","outputId":"19c19576-95f2-4548-87fa-13daaca8d7d2","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["print(len(X),len(Y))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["3910 3910\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"C9p1SOZB8qpU","colab":{}},"source":["X_train, X_test, Y_train, Y_test = model_selection.train_test_split(X,Y,test_size = 0.2)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"5EOaW4QYwcmh","outputId":"044a88ca-7b6f-426a-aed8-4c64f8b94482","colab":{}},"source":["np.shape(X_train)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(3128, 4)"]},"metadata":{"tags":[]},"execution_count":19}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"UQWLp9yi8qpX"},"source":["\n","# Linear Regression"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"PhQsj3dX8qpZ","outputId":"5a049712-c9bf-4860-cebc-9247b68c3668","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["startlr = time.time()\n","\n","lr = LinearRegression()\n","lr.fit(X_train,Y_train)\n","\n","endlr = time.time()\n","\n","time_lr = endlr-startlr\n","\n","print('Training Time :- {}'.format(time_lr))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Training Time :- 0.0019714832305908203\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"U_5WvByZ8qpb","outputId":"9ab37773-6722-4b33-e7f9-bfb4c681049f","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["accuracy = lr.score(X_test,Y_test)\n","print(accuracy)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["0.980387448675541\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"_12P_t1d8qpd","outputId":"a3f7f48e-f243-4d0d-d6a5-ea9aa751ccda","colab":{"base_uri":"https://localhost:8080/","height":151}},"source":["X = X[:-forecast_out]\n","X_old = X[-forecast_out:]\n","\n","Forecast_set = lr.predict(X_old)\n","print(Forecast_set)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["[1297.59817433 1297.18574039 1311.93232024 1316.14941448 1304.9222716\n"," 1304.11826092 1303.53672485 1315.61931295 1338.19280597 1325.54026036\n"," 1320.73472226 1307.89357172 1306.39796163 1300.61711512 1311.68482891\n"," 1318.72726222 1318.4834937  1311.03674504 1294.8140507  1299.72982087\n"," 1324.32906538 1332.94511564 1345.05222122 1347.4391667  1349.19000864\n"," 1350.31249831 1354.46185229 1352.27877629 1365.25974938 1359.25281532\n"," 1357.1404263  1360.29674086 1352.74531115 1353.86098213 1349.31170733\n"," 1364.54511767 1356.78029235 1341.15434758 1341.88417684 1369.93656754]\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"RPaE0mim8qpf","outputId":"e4af8a75-ff04-4338-a3d4-e009fc55671b","colab":{"base_uri":"https://localhost:8080/","height":751}},"source":["df['Forecast'] = np.nan\n","last_date = df.iloc[-1].name\n","last_unix = last_date.timestamp()\n","one_day = 86400\n","next_unix = last_unix + one_day\n","\n","for i in Forecast_set:\n","    next_date = datetime.datetime.fromtimestamp(next_unix)\n","    next_unix += one_day\n","    df.loc[next_date] = [np.nan for _ in range(len(df.columns) - 1)] + [i]\n","\n","df['Close'].plot(figsize = (15,10))\n","df['Forecast'].plot(figsize = (15,10))\n","plt.legend(loc=4)\n","plt.xlabel('Date')\n","plt.ylabel('Price')\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"stream","text":["C:\\Users\\Kenny Stryker\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: 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: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  \"\"\"Entry point for launching an IPython kernel.\n","C:\\Users\\Kenny Stryker\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:205: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  self._setitem_with_indexer(indexer, value)\n"],"name":"stderr"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1080x720 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"bH_KORKs8qph"},"source":["# Decision Tree"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"wwthjsd58qph","outputId":"f6df0c73-5393-4549-f146-86ebce1900cc","colab":{"base_uri":"https://localhost:8080/","height":50}},"source":["startdt = time.time()\n","\n","tree = DecisionTreeRegressor(random_state = 0)\n","tree.fit(X_train, Y_train)\n","\n","enddt = time.time()\n","\n","time_dt = enddt-startdt\n","\n","print('Training Time :- {}'.format(time_dt))\n","\n","print('Accuracy:- {}'.format(tree.score(X_test, Y_test)))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Training Time :- 0.011029481887817383\n","Accuracy:- 0.9759208300604797\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"d_vVZmL38qpj","outputId":"1d27106d-0829-42a5-b13e-78a058d3d56d","colab":{"base_uri":"https://localhost:8080/","height":134}},"source":["X = X[:-forecast_out]\n","X_old = X[-forecast_out:]\n","\n","Forecast_set = tree.predict(X_old)\n","print(Forecast_set)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["[1292.030029 1260.109985 1308.859985 1311.369995 1299.189941 1298.800049\n"," 1298.       1311.459961 1334.869995 1320.699951 1315.459961 1303.050049\n"," 1301.349976 1295.339966 1306.689941 1313.550049 1312.98999  1304.959961\n"," 1289.920044 1295.280029 1320.540039 1328.130005 1340.619995 1343.560059\n"," 1344.660034 1289.920044 1350.27002  1347.829956 1361.170044 1355.119995\n"," 1352.619995 1347.829956 1349.589966 1348.839966 1393.339966 1184.650024\n"," 1351.890015 1336.140015 1337.02002  1393.339966]\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"By0GkkA88qpl"},"source":["# K-NN"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"dpAkekxt8qpl","outputId":"5b3352fe-7b25-47e0-a78d-c8546f58f42b","colab":{"base_uri":"https://localhost:8080/","height":50}},"source":["startknn = time.time()\n","\n","knn = KNeighborsRegressor(13)\n","knn.fit(X_train, Y_train)\n","\n","endknn = time.time()\n","\n","time_knn = endknn - startknn\n","\n","print('Training Time:- {}'.format(time_knn))\n","print('Accuracy:- {}'.format(knn.score(X_test, Y_test)))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Training Time:- 0.0010004043579101562\n","Accuracy:- 0.7355242107717102\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"GL5hDfha8qpn","outputId":"4a139b8a-027d-4597-f8d8-ed55221e213f","colab":{"base_uri":"https://localhost:8080/","height":151}},"source":["X = X[:-forecast_out]\n","X_old = X[-forecast_out:]\n","\n","Forecast_set = knn.predict(X_old)\n","print(Forecast_set)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["[ 969.16003638  937.69229377 1025.49769008  939.72312354  780.15166762\n","  850.43307262 1147.09152931  853.12845077  804.07025154  379.83131746\n","  742.60193577  948.83127077  892.40603638  860.96688138  777.20667908\n","  609.91462823  745.04208615  870.713177   1007.69598392 1035.88000023\n"," 1162.29537731  936.57093231  885.48669438  865.71735092 1014.98827646\n","  973.18128854  958.01311077  949.29894069 1102.71153377  738.20767677\n","  898.49674631 1020.34614446 1054.44953323 1084.76147938  907.36500646\n","  928.17803008 1024.24000431  977.988455   1043.86922977  922.17222715]\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"j2VwyuWLrVeQ"},"source":["# Neural Network Implementation"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"5hxy9vIzrRbq","colab":{}},"source":["import math\n","import numpy as np\n","import pandas as pd\n","from sklearn.preprocessing import MinMaxScaler\n","from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import Dense, LSTM, Dropout\n","import matplotlib.pyplot as plt\n","plt.style.use('fivethirtyeight')"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"-gx8NJKprdfu"},"source":["### Loading Dataset for LSTM"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"XfZYaadIrkac","outputId":"3540bb01-9da0-4bda-9c07-2aeef087342b","colab":{"base_uri":"https://localhost:8080/","height":431}},"source":["dfl = pd.read_csv('GOOG.csv',index_col=\"Date\",parse_dates=True)\n","#Show the data\n","dfl"],"execution_count":0,"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>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Adj Close</th>\n","      <th>Volume</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","      <td>2004-08-19</td>\n","      <td>49.813286</td>\n","      <td>51.835709</td>\n","      <td>47.800831</td>\n","      <td>49.982655</td>\n","      <td>49.982655</td>\n","      <td>44871300</td>\n","    </tr>\n","    <tr>\n","      <td>2004-08-20</td>\n","      <td>50.316402</td>\n","      <td>54.336334</td>\n","      <td>50.062355</td>\n","      <td>53.952770</td>\n","      <td>53.952770</td>\n","      <td>22942800</td>\n","    </tr>\n","    <tr>\n","      <td>2004-08-23</td>\n","      <td>55.168217</td>\n","      <td>56.528118</td>\n","      <td>54.321388</td>\n","      <td>54.495735</td>\n","      <td>54.495735</td>\n","      <td>18342800</td>\n","    </tr>\n","    <tr>\n","      <td>2004-08-24</td>\n","      <td>55.412300</td>\n","      <td>55.591629</td>\n","      <td>51.591621</td>\n","      <td>52.239193</td>\n","      <td>52.239193</td>\n","      <td>15319700</td>\n","    </tr>\n","    <tr>\n","      <td>2004-08-25</td>\n","      <td>52.284027</td>\n","      <td>53.798351</td>\n","      <td>51.746044</td>\n","      <td>52.802086</td>\n","      <td>52.802086</td>\n","      <td>9232100</td>\n","    </tr>\n","    <tr>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-22</td>\n","      <td>1245.540039</td>\n","      <td>1285.613037</td>\n","      <td>1242.000000</td>\n","      <td>1263.209961</td>\n","      <td>1263.209961</td>\n","      <td>2093100</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-23</td>\n","      <td>1271.550049</td>\n","      <td>1293.310059</td>\n","      <td>1265.670044</td>\n","      <td>1276.310059</td>\n","      <td>1276.310059</td>\n","      <td>1566200</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-24</td>\n","      <td>1261.170044</td>\n","      <td>1280.400024</td>\n","      <td>1249.449951</td>\n","      <td>1279.310059</td>\n","      <td>1279.310059</td>\n","      <td>1640400</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-27</td>\n","      <td>1296.000000</td>\n","      <td>1296.150024</td>\n","      <td>1269.000000</td>\n","      <td>1275.880005</td>\n","      <td>1275.880005</td>\n","      <td>1600600</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-28</td>\n","      <td>1287.930054</td>\n","      <td>1288.050049</td>\n","      <td>1232.199951</td>\n","      <td>1233.670044</td>\n","      <td>1233.670044</td>\n","      <td>2898600</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>3950 rows × 6 columns</p>\n","</div>"],"text/plain":["                   Open         High          Low        Close    Adj Close  \\\n","Date                                                                          \n","2004-08-19    49.813286    51.835709    47.800831    49.982655    49.982655   \n","2004-08-20    50.316402    54.336334    50.062355    53.952770    53.952770   \n","2004-08-23    55.168217    56.528118    54.321388    54.495735    54.495735   \n","2004-08-24    55.412300    55.591629    51.591621    52.239193    52.239193   \n","2004-08-25    52.284027    53.798351    51.746044    52.802086    52.802086   \n","...                 ...          ...          ...          ...          ...   \n","2020-04-22  1245.540039  1285.613037  1242.000000  1263.209961  1263.209961   \n","2020-04-23  1271.550049  1293.310059  1265.670044  1276.310059  1276.310059   \n","2020-04-24  1261.170044  1280.400024  1249.449951  1279.310059  1279.310059   \n","2020-04-27  1296.000000  1296.150024  1269.000000  1275.880005  1275.880005   \n","2020-04-28  1287.930054  1288.050049  1232.199951  1233.670044  1233.670044   \n","\n","              Volume  \n","Date                  \n","2004-08-19  44871300  \n","2004-08-20  22942800  \n","2004-08-23  18342800  \n","2004-08-24  15319700  \n","2004-08-25   9232100  \n","...              ...  \n","2020-04-22   2093100  \n","2020-04-23   1566200  \n","2020-04-24   1640400  \n","2020-04-27   1600600  \n","2020-04-28   2898600  \n","\n","[3950 rows x 6 columns]"]},"metadata":{"tags":[]},"execution_count":29}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"LnBLmJperpsO"},"source":["### Preprocessing & Feature Extraction"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"Xe6H3n5Vrr6R","outputId":"748d5653-646d-4ce5-f446-3244eab46180","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["#Get the number of rows and columns in the data set\n","dfl.shape"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(3950, 6)"]},"metadata":{"tags":[]},"execution_count":30}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"PqKbRcZsrsAS","outputId":"b33d96af-5ba0-450e-acd2-c51d238756db","colab":{"base_uri":"https://localhost:8080/","height":558}},"source":["#Visualize the closing price history\n","plt.figure(figsize=(16,8))\n","plt.title('Close Price History')\n","plt.plot(dfl['Close'])\n","plt.xlabel('Date', fontsize=18)\n","plt.ylabel('Close Price ', fontsize=18)\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1152x576 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"mXzD4-WdsEKy","outputId":"afc6e712-9796-4aa8-a54e-43820b7294a9","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["\n","#Create a new dataframe with only the 'Close column\n","data = dfl.filter(['Close'])\n","#Convert the dataframe to a numpy array\n","dataset = data.values\n","#Get the number of rows to train the model on\n","training_data_len = math.ceil( len(dataset) * .8 )\n","\n","training_data_len"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["3160"]},"metadata":{"tags":[]},"execution_count":32}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"NrLkcYEssXxp","outputId":"7deef3e8-4d4b-452d-f1cb-0c23e7bde35a","colab":{"base_uri":"https://localhost:8080/","height":134}},"source":["#Scale the data\n","scaler = MinMaxScaler(feature_range=(0,1))\n","scaled_data = scaler.fit_transform(dataset)\n","\n","scaled_data"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[1.11307572e-04],\n","       [2.79949983e-03],\n","       [3.16714518e-03],\n","       ...,\n","       [8.32497375e-01],\n","       [8.30174862e-01],\n","       [8.01594206e-01]])"]},"metadata":{"tags":[]},"execution_count":33}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"SLf3Tt8csb-j","outputId":"5fd0ff64-ab10-4646-fb0d-7acd4dc57faa","colab":{"base_uri":"https://localhost:8080/","height":823}},"source":["#Create the scaled training data set\n","train_data = scaled_data[0:training_data_len , :]\n","#Split the data into x_train and y_train data sets\n","x_trainl = []\n","y_trainl = []\n","\n","for i in range(60, len(train_data)):\n","    x_trainl.append(train_data[i-60:i, 0])\n","    y_trainl.append(train_data[i, 0])\n","    if i<= 61:\n","        print(x_trainl)\n","        print(y_trainl)\n","        print()"],"execution_count":0,"outputs":[{"output_type":"stream","text":["[array([1.11307572e-04, 2.79949983e-03, 3.16714518e-03, 1.63922502e-03,\n","       2.02036376e-03, 2.66458425e-03, 2.07095583e-03, 6.74577906e-04,\n","       7.96002809e-04, 8.09494841e-05, 5.05934276e-04, 0.00000000e+00,\n","       5.29544993e-04, 7.72392091e-04, 7.75765438e-04, 1.79437797e-03,\n","       2.52629803e-03, 3.87208117e-03, 4.04409815e-03, 4.70855872e-03,\n","       5.89581557e-03, 6.52654809e-03, 6.01386712e-03, 6.19600414e-03,\n","       7.01898898e-03, 6.68507168e-03, 6.15552940e-03, 9.05621676e-03,\n","       1.04795767e-02, 9.98038914e-03, 1.09855110e-02, 1.18219858e-02,\n","       1.29384126e-02, 1.25033138e-02, 1.31003129e-02, 1.27225495e-02,\n","       1.18894426e-02, 1.26112453e-02, 1.37917548e-02, 1.41627762e-02,\n","       1.48744535e-02, 1.65777640e-02, 1.61662732e-02, 1.36534686e-02,\n","       1.66519674e-02, 2.44264845e-02, 2.94757025e-02, 2.75868836e-02,\n","       2.89933816e-02, 3.14657108e-02, 3.05685205e-02, 3.23865099e-02,\n","       3.19952538e-02, 3.09159285e-02, 2.85650235e-02, 2.33876346e-02,\n","       2.44669592e-02, 2.31683982e-02, 2.28850736e-02, 2.79983798e-02])]\n","[0.027654345158531587]\n","\n","[array([1.11307572e-04, 2.79949983e-03, 3.16714518e-03, 1.63922502e-03,\n","       2.02036376e-03, 2.66458425e-03, 2.07095583e-03, 6.74577906e-04,\n","       7.96002809e-04, 8.09494841e-05, 5.05934276e-04, 0.00000000e+00,\n","       5.29544993e-04, 7.72392091e-04, 7.75765438e-04, 1.79437797e-03,\n","       2.52629803e-03, 3.87208117e-03, 4.04409815e-03, 4.70855872e-03,\n","       5.89581557e-03, 6.52654809e-03, 6.01386712e-03, 6.19600414e-03,\n","       7.01898898e-03, 6.68507168e-03, 6.15552940e-03, 9.05621676e-03,\n","       1.04795767e-02, 9.98038914e-03, 1.09855110e-02, 1.18219858e-02,\n","       1.29384126e-02, 1.25033138e-02, 1.31003129e-02, 1.27225495e-02,\n","       1.18894426e-02, 1.26112453e-02, 1.37917548e-02, 1.41627762e-02,\n","       1.48744535e-02, 1.65777640e-02, 1.61662732e-02, 1.36534686e-02,\n","       1.66519674e-02, 2.44264845e-02, 2.94757025e-02, 2.75868836e-02,\n","       2.89933816e-02, 3.14657108e-02, 3.05685205e-02, 3.23865099e-02,\n","       3.19952538e-02, 3.09159285e-02, 2.85650235e-02, 2.33876346e-02,\n","       2.44669592e-02, 2.31683982e-02, 2.28850736e-02, 2.79983798e-02]), array([2.79949983e-03, 3.16714518e-03, 1.63922502e-03, 2.02036376e-03,\n","       2.66458425e-03, 2.07095583e-03, 6.74577906e-04, 7.96002809e-04,\n","       8.09494841e-05, 5.05934276e-04, 0.00000000e+00, 5.29544993e-04,\n","       7.72392091e-04, 7.75765438e-04, 1.79437797e-03, 2.52629803e-03,\n","       3.87208117e-03, 4.04409815e-03, 4.70855872e-03, 5.89581557e-03,\n","       6.52654809e-03, 6.01386712e-03, 6.19600414e-03, 7.01898898e-03,\n","       6.68507168e-03, 6.15552940e-03, 9.05621676e-03, 1.04795767e-02,\n","       9.98038914e-03, 1.09855110e-02, 1.18219858e-02, 1.29384126e-02,\n","       1.25033138e-02, 1.31003129e-02, 1.27225495e-02, 1.18894426e-02,\n","       1.26112453e-02, 1.37917548e-02, 1.41627762e-02, 1.48744535e-02,\n","       1.65777640e-02, 1.61662732e-02, 1.36534686e-02, 1.66519674e-02,\n","       2.44264845e-02, 2.94757025e-02, 2.75868836e-02, 2.89933816e-02,\n","       3.14657108e-02, 3.05685205e-02, 3.23865099e-02, 3.19952538e-02,\n","       3.09159285e-02, 2.85650235e-02, 2.33876346e-02, 2.44669592e-02,\n","       2.31683982e-02, 2.28850736e-02, 2.79983798e-02, 2.76543452e-02])]\n","[0.027654345158531587, 0.02862236494395813]\n","\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"6uJuKyCes1TB","colab":{}},"source":["#Convert the x_train and y_train to numpy arrays \n","x_trainl, y_trainl = np.array(x_trainl), np.array(y_trainl)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"UEm0Ufhgs6rF","outputId":"70f89a3b-df04-4b1a-d77f-b513fdd74a8b","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["#Reshape the data\n","x_trainl = np.reshape(x_trainl, (x_trainl.shape[0], x_trainl.shape[1], 1))\n","x_trainl.shape"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(3100, 60, 1)"]},"metadata":{"tags":[]},"execution_count":36}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"2oa5SVqEtE6u"},"source":["## Build the LSTM model"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"3T8pVmqPtJXG","outputId":"9a625d3b-2424-4a66-b479-8dfbd22d6d09","colab":{"base_uri":"https://localhost:8080/","height":302}},"source":["model = Sequential()\n","\n","model.add(LSTM(50, return_sequences=True, input_shape= (x_trainl.shape[1], 1)))\n","model.add(LSTM(50, return_sequences= False))\n","model.add(Dense(25))\n","model.add(Dense(1))\n","\n","print(model.summary())"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Model: \"sequential\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","lstm (LSTM)                  (None, 60, 50)            10400     \n","_________________________________________________________________\n","lstm_1 (LSTM)                (None, 50)                20200     \n","_________________________________________________________________\n","dense (Dense)                (None, 25)                1275      \n","_________________________________________________________________\n","dense_1 (Dense)              (None, 1)                 26        \n","=================================================================\n","Total params: 31,901\n","Trainable params: 31,901\n","Non-trainable params: 0\n","_________________________________________________________________\n","None\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"Wm3Lih_6tch1","colab":{}},"source":["#Compile the model\n","model.compile(optimizer='adam',loss='mean_squared_error')"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"VYpxWZmst2b3","outputId":"03efb1a5-3309-4bc7-8434-f0fb0e494432","scrolled":true,"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["#Train the model\n","lstm_start = time.time()\n","\n","history = model.fit(x_trainl, y_trainl, epochs=100, batch_size=32)\n","lstm_end = time.time()\n","\n","total_lstm = lstm_end - lstm_start"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Train on 3100 samples\n","Epoch 1/100\n","3100/3100 [==============================] - 4s 1ms/sample - loss: 0.0035\n","Epoch 2/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 1.0870e-04\n","Epoch 3/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 9.8952e-05\n","Epoch 4/100\n","3100/3100 [==============================] - 1s 165us/sample - loss: 9.3998e-05s - loss: 8.\n","Epoch 5/100\n","3100/3100 [==============================] - 1s 166us/sample - loss: 8.7145e-05\n","Epoch 6/100\n","3100/3100 [==============================] - 1s 165us/sample - loss: 9.0018e-05\n","Epoch 7/100\n","3100/3100 [==============================] - 1s 165us/sample - loss: 8.6095e-05\n","Epoch 8/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 8.7382e-05s - loss: 8\n","Epoch 9/100\n","3100/3100 [==============================] - 1s 180us/sample - loss: 8.0657e-05\n","Epoch 10/100\n","3100/3100 [==============================] - 1s 176us/sample - loss: 7.3519e-05\n","Epoch 11/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 7.2606e-05\n","Epoch 12/100\n","3100/3100 [==============================] - 1s 169us/sample - loss: 8.1318e-05\n","Epoch 13/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 8.0511e-05\n","Epoch 14/100\n","3100/3100 [==============================] - 1s 164us/sample - loss: 6.9723e-05\n","Epoch 15/100\n","3100/3100 [==============================] - 1s 166us/sample - loss: 6.5198e-05\n","Epoch 16/100\n","3100/3100 [==============================] - 1s 164us/sample - loss: 6.5876e-05\n","Epoch 17/100\n","3100/3100 [==============================] - 1s 167us/sample - loss: 6.5664e-05\n","Epoch 18/100\n","3100/3100 [==============================] - 1s 167us/sample - loss: 6.8670e-05\n","Epoch 19/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 6.3545e-05\n","Epoch 20/100\n","3100/3100 [==============================] - 1s 176us/sample - loss: 6.2588e-05\n","Epoch 21/100\n","3100/3100 [==============================] - 1s 177us/sample - loss: 5.9700e-05\n","Epoch 22/100\n","3100/3100 [==============================] - 1s 175us/sample - loss: 6.6095e-05\n","Epoch 23/100\n","3100/3100 [==============================] - 1s 172us/sample - loss: 5.1809e-05\n","Epoch 24/100\n","3100/3100 [==============================] - 1s 167us/sample - loss: 5.5608e-05\n","Epoch 25/100\n","3100/3100 [==============================] - 1s 166us/sample - loss: 5.1460e-05\n","Epoch 26/100\n","3100/3100 [==============================] - 1s 179us/sample - loss: 5.3046e-05\n","Epoch 27/100\n","3100/3100 [==============================] - 1s 169us/sample - loss: 5.0468e-05\n","Epoch 28/100\n","3100/3100 [==============================] - 1s 169us/sample - loss: 5.3601e-05\n","Epoch 29/100\n","3100/3100 [==============================] - 1s 166us/sample - loss: 5.5071e-05\n","Epoch 30/100\n","3100/3100 [==============================] - 1s 167us/sample - loss: 4.4463e-05\n","Epoch 31/100\n","3100/3100 [==============================] - 1s 167us/sample - loss: 4.9709e-05\n","Epoch 32/100\n","3100/3100 [==============================] - 1s 169us/sample - loss: 4.4418e-05\n","Epoch 33/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 4.6806e-05\n","Epoch 34/100\n","3100/3100 [==============================] - 1s 167us/sample - loss: 4.1817e-05\n","Epoch 35/100\n","3100/3100 [==============================] - 1s 167us/sample - loss: 3.8831e-05\n","Epoch 36/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 4.5158e-05\n","Epoch 37/100\n","3100/3100 [==============================] - 1s 165us/sample - loss: 4.2134e-05\n","Epoch 38/100\n","3100/3100 [==============================] - 1s 166us/sample - loss: 3.9648e-05\n","Epoch 39/100\n","3100/3100 [==============================] - 1s 167us/sample - loss: 3.5327e-05\n","Epoch 40/100\n","3100/3100 [==============================] - 1s 166us/sample - loss: 4.2151e-05\n","Epoch 41/100\n","3100/3100 [==============================] - 1s 178us/sample - loss: 3.5735e-05\n","Epoch 42/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 3.3108e-05\n","Epoch 43/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 3.8630e-05\n","Epoch 44/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 3.4598e-05\n","Epoch 45/100\n","3100/3100 [==============================] - 1s 177us/sample - loss: 3.4003e-05\n","Epoch 46/100\n","3100/3100 [==============================] - 1s 174us/sample - loss: 3.3506e-05\n","Epoch 47/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 3.5365e-05\n","Epoch 48/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 3.1538e-05\n","Epoch 49/100\n","3100/3100 [==============================] - 1s 170us/sample - loss: 3.0372e-05\n","Epoch 50/100\n","3100/3100 [==============================] - 1s 170us/sample - loss: 2.7661e-05\n","Epoch 51/100\n","3100/3100 [==============================] - 1s 169us/sample - loss: 3.3140e-05\n","Epoch 52/100\n","3100/3100 [==============================] - 1s 168us/sample - loss: 2.6360e-05\n","Epoch 53/100\n","3100/3100 [==============================] - 1s 167us/sample - loss: 3.1514e-05\n","Epoch 54/100\n","3100/3100 [==============================] - 1s 175us/sample - loss: 3.1965e-05\n","Epoch 55/100\n","3100/3100 [==============================] - 1s 172us/sample - loss: 3.9198e-05\n","Epoch 56/100\n","3100/3100 [==============================] - 1s 172us/sample - loss: 2.9721e-05\n","Epoch 57/100\n","3100/3100 [==============================] - 1s 175us/sample - loss: 2.5078e-05\n","Epoch 58/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 2.5902e-05\n","Epoch 59/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 3.3057e-05\n","Epoch 60/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 2.8218e-05\n","Epoch 61/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 2.2418e-05\n","Epoch 62/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 2.7916e-05\n","Epoch 63/100\n","3100/3100 [==============================] - 1s 170us/sample - loss: 2.6250e-05\n","Epoch 64/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 3.1055e-05\n","Epoch 65/100\n","3100/3100 [==============================] - 1s 169us/sample - loss: 2.6563e-05\n","Epoch 66/100\n","3100/3100 [==============================] - 1s 177us/sample - loss: 2.4017e-05\n","Epoch 67/100\n","3100/3100 [==============================] - 1s 177us/sample - loss: 2.3557e-05\n","Epoch 68/100\n","3100/3100 [==============================] - 1s 181us/sample - loss: 2.5514e-05\n","Epoch 69/100\n","3100/3100 [==============================] - 1s 179us/sample - loss: 2.2782e-05\n","Epoch 70/100\n","3100/3100 [==============================] - 1s 179us/sample - loss: 2.4035e-05\n","Epoch 71/100\n","3100/3100 [==============================] - 1s 178us/sample - loss: 2.4724e-05\n","Epoch 72/100\n","3100/3100 [==============================] - 1s 172us/sample - loss: 2.4198e-05\n","Epoch 73/100\n","3100/3100 [==============================] - 1s 173us/sample - loss: 2.2032e-05\n","Epoch 74/100\n","3100/3100 [==============================] - 1s 173us/sample - loss: 2.3290e-05\n","Epoch 75/100\n","3100/3100 [==============================] - 1s 175us/sample - loss: 2.2730e-05\n","Epoch 76/100\n","3100/3100 [==============================] - 1s 176us/sample - loss: 2.3822e-05\n","Epoch 77/100\n","3100/3100 [==============================] - 1s 175us/sample - loss: 2.5149e-05\n","Epoch 78/100\n","3100/3100 [==============================] - 1s 176us/sample - loss: 2.4598e-05\n","Epoch 79/100\n","3100/3100 [==============================] - 1s 175us/sample - loss: 2.5704e-05\n","Epoch 80/100\n","3100/3100 [==============================] - 1s 175us/sample - loss: 2.8042e-05\n","Epoch 81/100\n","3100/3100 [==============================] - 1s 174us/sample - loss: 2.2418e-05\n","Epoch 82/100\n","3100/3100 [==============================] - 1s 175us/sample - loss: 3.1150e-05\n","Epoch 83/100\n","3100/3100 [==============================] - 1s 177us/sample - loss: 2.4086e-05\n","Epoch 84/100\n","3100/3100 [==============================] - 1s 176us/sample - loss: 2.3945e-05\n","Epoch 85/100\n","3100/3100 [==============================] - 1s 177us/sample - loss: 2.7962e-05\n","Epoch 86/100\n","3100/3100 [==============================] - 1s 175us/sample - loss: 2.2357e-05\n","Epoch 87/100\n","3100/3100 [==============================] - 1s 174us/sample - loss: 2.3116e-05\n","Epoch 88/100\n"],"name":"stdout"},{"output_type":"stream","text":["3100/3100 [==============================] - 1s 176us/sample - loss: 2.3023e-05\n","Epoch 89/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 2.3031e-05\n","Epoch 90/100\n","3100/3100 [==============================] - 1s 170us/sample - loss: 2.7176e-05\n","Epoch 91/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 2.2664e-05\n","Epoch 92/100\n","3100/3100 [==============================] - 1s 172us/sample - loss: 2.4606e-05\n","Epoch 93/100\n","3100/3100 [==============================] - 1s 172us/sample - loss: 3.0170e-05\n","Epoch 94/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 2.5065e-05\n","Epoch 95/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 2.1702e-05\n","Epoch 96/100\n","3100/3100 [==============================] - 1s 171us/sample - loss: 2.4418e-05\n","Epoch 97/100\n","3100/3100 [==============================] - 1s 173us/sample - loss: 2.4069e-05\n","Epoch 98/100\n","3100/3100 [==============================] - 1s 173us/sample - loss: 2.1866e-05\n","Epoch 99/100\n","3100/3100 [==============================] - 1s 172us/sample - loss: 2.4322e-05\n","Epoch 100/100\n","3100/3100 [==============================] - 1s 173us/sample - loss: 2.1862e-05\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"LSqImm1WuGt-","colab":{}},"source":["#Create the testing data set\n","#Create a new array containing scaled values from index 1543 to 2002 \n","test_data = scaled_data[training_data_len - 60: , :]\n","#Create the data sets x_test and y_test\n","x_testl = []\n","y_testl = dataset[training_data_len:, :]\n","for i in range(60, len(test_data)):\n","    x_testl.append(test_data[i-60:i, 0])"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"92RVLyrmu2rQ","colab":{}},"source":["#Convert the data to a numpy array\n","x_testl = np.array(x_testl)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"SOx5n8gPu3ry","colab":{}},"source":["#Reshape the data\n","x_testl = np.reshape(x_testl, (x_testl.shape[0], x_testl.shape[1], 1 ))"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"lcTfbepku6Pc","colab":{}},"source":["#Get the models predicted price values \n","predictionsl = model.predict(x_testl)\n","predictionsl = scaler.inverse_transform(predictionsl)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"J1nNhI4IvTn3","outputId":"00b8eac2-680b-4ca7-9bdd-7c502a2330c4","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["#Get the root mean squared error (RMSE)\n","rmse=np.sqrt(np.mean(((predictionsl - y_testl)**2)))\n","rmse"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["28.8723919394513"]},"metadata":{"tags":[]},"execution_count":44}]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"VjG5bvQFvz8G"},"source":["### Visualizing Results of LSTM Model"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"oZe4xM6Tv4XR","outputId":"62b1b24a-eb38-4e31-e328-f2d8839cb8c8","colab":{"base_uri":"https://localhost:8080/","height":659}},"source":["#Plot the data\n","train = data[:training_data_len]\n","valid = data[training_data_len:]\n","valid['Predictions'] = predictionsl\n","#Visualize the data\n","plt.figure(figsize=(16,8))\n","plt.title('Model')\n","plt.xlabel('Date', fontsize=18)\n","plt.ylabel('Close Price ', fontsize=18)\n","plt.plot(train['Close'])\n","plt.plot(valid[['Close', 'Predictions']])\n","plt.legend(['Train', 'Val', 'Predictions'], loc='lower right')\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"stream","text":["C:\\Users\\Kenny Stryker\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: 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: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  after removing the cwd from sys.path.\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":[]}}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"vWcfDGibwWR4","outputId":"37d855e4-506b-4236-9fcd-dbb484a87c8c","colab":{"base_uri":"https://localhost:8080/","height":431}},"source":["#Show the valid and predicted prices\n","valid"],"execution_count":0,"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>Predictions</th>\n","    </tr>\n","    <tr>\n","      <th>Date</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>2017-03-09</td>\n","      <td>838.679993</td>\n","      <td>830.387390</td>\n","    </tr>\n","    <tr>\n","      <td>2017-03-10</td>\n","      <td>843.250000</td>\n","      <td>833.466492</td>\n","    </tr>\n","    <tr>\n","      <td>2017-03-13</td>\n","      <td>845.539978</td>\n","      <td>838.077759</td>\n","    </tr>\n","    <tr>\n","      <td>2017-03-14</td>\n","      <td>845.619995</td>\n","      <td>839.762817</td>\n","    </tr>\n","    <tr>\n","      <td>2017-03-15</td>\n","      <td>847.200012</td>\n","      <td>839.380554</td>\n","    </tr>\n","    <tr>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-22</td>\n","      <td>1263.209961</td>\n","      <td>1177.323608</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-23</td>\n","      <td>1276.310059</td>\n","      <td>1259.421021</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-24</td>\n","      <td>1279.310059</td>\n","      <td>1250.409912</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-27</td>\n","      <td>1275.880005</td>\n","      <td>1252.582764</td>\n","    </tr>\n","    <tr>\n","      <td>2020-04-28</td>\n","      <td>1233.670044</td>\n","      <td>1247.538940</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>790 rows × 2 columns</p>\n","</div>"],"text/plain":["                  Close  Predictions\n","Date                                \n","2017-03-09   838.679993   830.387390\n","2017-03-10   843.250000   833.466492\n","2017-03-13   845.539978   838.077759\n","2017-03-14   845.619995   839.762817\n","2017-03-15   847.200012   839.380554\n","...                 ...          ...\n","2020-04-22  1263.209961  1177.323608\n","2020-04-23  1276.310059  1259.421021\n","2020-04-24  1279.310059  1250.409912\n","2020-04-27  1275.880005  1252.582764\n","2020-04-28  1233.670044  1247.538940\n","\n","[790 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":46}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"fTFhrlJiwcpz","colab":{}},"source":["lstm_temp_pred = valid[['Predictions']].tail(40)\n","lstm_temp_ori = valid[['Close']].tail(40)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"DES2-Epowcp4","colab":{}},"source":["lstm_temp_pred.reset_index(drop=True, inplace=True)\n","lstm_temp_ori.reset_index(drop=True, inplace=True)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"XRcj_xUCwcp8","colab":{}},"source":["lstm_temp_pred = lstm_temp_pred.values.tolist()\n","lstm_temp_ori = lstm_temp_ori.values.tolist()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"aYb5W1TjwcqB","colab":{}},"source":["lstm = []\n","original = []\n","for i in range(40):\n","    lstm.append(lstm_temp_pred[i][-1])\n","    original.append(lstm_temp_ori[i][-1])"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"U16LBL9c8qpp"},"source":["### Visualizing Result of Supervised Learning algorithms"]},{"cell_type":"code","metadata":{"colab_type":"code","id":"ANED0Uiq8qpq","colab":{}},"source":["days = [int(i) for i in range(39)]\n","\n","predictions = {'Original':original,\n","               'Linear Regression':lr.predict(X_old),\n","              'KNN':knn.predict(X_old),\n","              'Decision Tree':tree.predict(X_old),\n","              'LSTM':lstm}\n","\n","predictions = pd.DataFrame(predictions)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"colab_type":"code","id":"IpH2_JB98qps","outputId":"273114dc-6983-457f-dd75-8db7fd769ef7","scrolled":true,"colab":{"base_uri":"https://localhost:8080/","height":384}},"source":["predictions['Original'].plot(figsize = (30,10), fontsize = 20)\n","predictions['Linear Regression'].plot(figsize = (30,10), fontsize = 20)\n","predictions['KNN'].plot(figsize = (30,10), fontsize = 20)\n","predictions['Decision Tree'].plot(figsize = (30,10), fontsize = 20)\n","predictions['LSTM'].plot(figsize = (30,10), fontsize = 20)\n","plt.legend(['Original','Linear Regression', 'KNN', 'Decision Tree', 'LSTM'], fontsize=20)\n","plt.xlabel('Days', fontsize = 30)\n","plt.ylabel('Price', fontsize = 30)\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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size 2160x720 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"5nE6SX418qpt","outputId":"012bcb70-42f3-4b7c-d549-8c58961d4e66","colab":{"base_uri":"https://localhost:8080/","height":303}},"source":["objects = ('LR', 'DT', 'KNN', 'LSTM')\n","y_pos = np.arange(len(objects))\n","performance = [time_lr, time_dt, time_knn, total_lstm]\n","\n","plt.bar(y_pos, performance, align='center', color='c', alpha = 0.75)\n","plt.xticks(y_pos, objects)\n","plt.ylabel('Training Time (s)')\n","plt.title('Training Time in Different Models')\n","\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab_type":"code","id":"_FLKxoM4wcqy","colab":{}},"source":[""],"execution_count":0,"outputs":[]}]}