is3107_lstm.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "import pandas as pd\n",
    "import datetime\n",
    "from pandas_datareader import data as pdr\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "# The tech stocks we'll use for this analysis\n",
    "tech_list = ['Z74.SI']\n",
    "\n",
    "# Set up End and Start times for data grab\n",
    "df = pd.DataFrame()\n",
    "end = datetime.datetime(2022,12,31)\n",
    "start = datetime.datetime(2020,1,1)\n",
    "\n",
    "for stock in tech_list:\n",
    "    df = yf.download(stock, start, end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</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",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>3.39</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.36</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.076397</td>\n",
       "      <td>10742600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>3.41</td>\n",
       "      <td>3.41</td>\n",
       "      <td>3.34</td>\n",
       "      <td>3.37</td>\n",
       "      <td>3.049252</td>\n",
       "      <td>15917300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-06</td>\n",
       "      <td>3.36</td>\n",
       "      <td>3.37</td>\n",
       "      <td>3.34</td>\n",
       "      <td>3.35</td>\n",
       "      <td>3.031155</td>\n",
       "      <td>13793100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-07</td>\n",
       "      <td>3.35</td>\n",
       "      <td>3.36</td>\n",
       "      <td>3.30</td>\n",
       "      <td>3.36</td>\n",
       "      <td>3.040204</td>\n",
       "      <td>25232800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-08</td>\n",
       "      <td>3.30</td>\n",
       "      <td>3.39</td>\n",
       "      <td>3.30</td>\n",
       "      <td>3.39</td>\n",
       "      <td>3.067348</td>\n",
       "      <td>28451400</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>750</th>\n",
       "      <td>2022-12-23</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.570000</td>\n",
       "      <td>8518500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>751</th>\n",
       "      <td>2022-12-27</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.60</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.580000</td>\n",
       "      <td>6353800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>752</th>\n",
       "      <td>2022-12-28</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.580000</td>\n",
       "      <td>9060100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>753</th>\n",
       "      <td>2022-12-29</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.560000</td>\n",
       "      <td>15897600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>2022-12-30</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.570000</td>\n",
       "      <td>9788500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>755 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  Open  High   Low  Close  Adj Close    Volume\n",
       "0   2020-01-02  3.39  3.40  3.36   3.40   3.076397  10742600\n",
       "1   2020-01-03  3.41  3.41  3.34   3.37   3.049252  15917300\n",
       "2   2020-01-06  3.36  3.37  3.34   3.35   3.031155  13793100\n",
       "3   2020-01-07  3.35  3.36  3.30   3.36   3.040204  25232800\n",
       "4   2020-01-08  3.30  3.39  3.30   3.39   3.067348  28451400\n",
       "..         ...   ...   ...   ...    ...        ...       ...\n",
       "750 2022-12-23  2.58  2.59  2.56   2.57   2.570000   8518500\n",
       "751 2022-12-27  2.59  2.60  2.58   2.58   2.580000   6353800\n",
       "752 2022-12-28  2.58  2.59  2.56   2.58   2.580000   9060100\n",
       "753 2022-12-29  2.57  2.57  2.55   2.56   2.560000  15897600\n",
       "754 2022-12-30  2.58  2.59  2.56   2.57   2.570000   9788500\n",
       "\n",
       "[755 rows x 7 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.reset_index()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "singtel_tweets = pd.read_csv('singtelCleaned.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Datetime</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-01-01 13:27:39+00:00</td>\n",
       "      <td>Singtel announces reorganisation of structure ...</td>\n",
       "      <td>datamanagepro</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>singtel announces reorganisation structure cap...</td>\n",
       "      <td>{'neg': 0.0, 'neu': 0.729, 'pos': 0.271, 'comp...</td>\n",
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       "      <td>0.271</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-01-01 02:04:37+00:00</td>\n",
       "      <td>Singtel announces reorganisation of structure ...</td>\n",
       "      <td>datamanagepro</td>\n",
       "      <td>3</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>singtel announces reorganisation structure cap...</td>\n",
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       "      <td>0.271</td>\n",
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       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-01-01 19:45:19+00:00</td>\n",
       "      <td>@NtzBeaker09 @MakeUpAPnFFan I agree. I live in...</td>\n",
       "      <td>kbhasi</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>agree live singapore disney removed channels s...</td>\n",
       "      <td>{'neg': 0.064, 'neu': 0.822, 'pos': 0.114, 'co...</td>\n",
       "      <td>0.064</td>\n",
       "      <td>0.822</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.2732</td>\n",
       "      <td>53</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-01-01 02:15:00+00:00</td>\n",
       "      <td>.@Singtel revamps structure to capture new dig...</td>\n",
       "      <td>BusinessTimes</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>revamps structure capture new digital growth g...</td>\n",
       "      <td>{'neg': 0.0, 'neu': 0.755, 'pos': 0.245, 'comp...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>53</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-01-01 17:38:11+00:00</td>\n",
       "      <td>Singtel to capture ‘new digital growth’ with n...</td>\n",
       "      <td>AvrilBellon</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>singtel capture new digital growth new portfol...</td>\n",
       "      <td>{'neg': 0.0, 'neu': 0.776, 'pos': 0.224, 'comp...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.776</td>\n",
       "      <td>0.224</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>53</td>\n",
       "      <td>2020</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>17519</th>\n",
       "      <td>2022-12-31 15:50:19+00:00</td>\n",
       "      <td>fuck singtel srs</td>\n",
       "      <td>igloosias</td>\n",
       "      <td>3</td>\n",
       "      <td>2022-12-31</td>\n",
       "      <td>fuck singtel srs</td>\n",
       "      <td>{'neg': 0.636, 'neu': 0.364, 'pos': 0.0, 'comp...</td>\n",
       "      <td>0.636</td>\n",
       "      <td>0.364</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.5423</td>\n",
       "      <td>52</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17520</th>\n",
       "      <td>2022-12-31 16:55:29+00:00</td>\n",
       "      <td>Singtel start pattern ready</td>\n",
       "      <td>teh_papi</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-12-31</td>\n",
       "      <td>singtel start pattern ready</td>\n",
       "      <td>{'neg': 0.0, 'neu': 0.545, 'pos': 0.455, 'comp...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.545</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.3612</td>\n",
       "      <td>52</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17521</th>\n",
       "      <td>2022-12-31 18:25:28+00:00</td>\n",
       "      <td>@SingtelSupport Same and only at this location...</td>\n",
       "      <td>KelvinChow1917</td>\n",
       "      <td>0</td>\n",
       "      <td>2022-12-31</td>\n",
       "      <td>location network speed gets normal getting inw...</td>\n",
       "      <td>{'neg': 0.0, 'neu': 0.746, 'pos': 0.254, 'comp...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.254</td>\n",
       "      <td>0.7003</td>\n",
       "      <td>52</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17522</th>\n",
       "      <td>2022-12-31 15:40:02+00:00</td>\n",
       "      <td>@Singtel terrible connections at Sembawang bea...</td>\n",
       "      <td>KelvinChow1917</td>\n",
       "      <td>0</td>\n",
       "      <td>2022-12-31</td>\n",
       "      <td>terrible connections sembawang beach area much...</td>\n",
       "      <td>{'neg': 0.307, 'neu': 0.693, 'pos': 0.0, 'comp...</td>\n",
       "      <td>0.307</td>\n",
       "      <td>0.693</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-0.4767</td>\n",
       "      <td>52</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17523</th>\n",
       "      <td>2022-12-31 00:00:08+00:00</td>\n",
       "      <td>Day 3 of i forgot to change my sim card back t...</td>\n",
       "      <td>chibi_shizeki</td>\n",
       "      <td>0</td>\n",
       "      <td>2022-12-31</td>\n",
       "      <td>day forgot change sim card back singtel</td>\n",
       "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>52</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "<p>17524 rows × 13 columns</p>\n",
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      "text/plain": [
       "                        Datetime  \\\n",
       "0      2021-01-01 13:27:39+00:00   \n",
       "1      2021-01-01 02:04:37+00:00   \n",
       "2      2021-01-01 19:45:19+00:00   \n",
       "3      2021-01-01 02:15:00+00:00   \n",
       "4      2021-01-01 17:38:11+00:00   \n",
       "...                          ...   \n",
       "17519  2022-12-31 15:50:19+00:00   \n",
       "17520  2022-12-31 16:55:29+00:00   \n",
       "17521  2022-12-31 18:25:28+00:00   \n",
       "17522  2022-12-31 15:40:02+00:00   \n",
       "17523  2022-12-31 00:00:08+00:00   \n",
       "\n",
       "                                                    Text        Username  \\\n",
       "0      Singtel announces reorganisation of structure ...   datamanagepro   \n",
       "1      Singtel announces reorganisation of structure ...   datamanagepro   \n",
       "2      @NtzBeaker09 @MakeUpAPnFFan I agree. I live in...          kbhasi   \n",
       "3      .@Singtel revamps structure to capture new dig...   BusinessTimes   \n",
       "4      Singtel to capture ‘new digital growth’ with n...     AvrilBellon   \n",
       "...                                                  ...             ...   \n",
       "17519                                   fuck singtel srs       igloosias   \n",
       "17520                        Singtel start pattern ready        teh_papi   \n",
       "17521  @SingtelSupport Same and only at this location...  KelvinChow1917   \n",
       "17522  @Singtel terrible connections at Sembawang bea...  KelvinChow1917   \n",
       "17523  Day 3 of i forgot to change my sim card back t...   chibi_shizeki   \n",
       "\n",
       "       likeCount        Date  \\\n",
       "0              3  2021-01-01   \n",
       "1              3  2021-01-01   \n",
       "2              2  2021-01-01   \n",
       "3              1  2021-01-01   \n",
       "4              0  2021-01-01   \n",
       "...          ...         ...   \n",
       "17519          3  2022-12-31   \n",
       "17520          1  2022-12-31   \n",
       "17521          0  2022-12-31   \n",
       "17522          0  2022-12-31   \n",
       "17523          0  2022-12-31   \n",
       "\n",
       "                                             cleanedText  \\\n",
       "0      singtel announces reorganisation structure cap...   \n",
       "1      singtel announces reorganisation structure cap...   \n",
       "2      agree live singapore disney removed channels s...   \n",
       "3      revamps structure capture new digital growth g...   \n",
       "4      singtel capture new digital growth new portfol...   \n",
       "...                                                  ...   \n",
       "17519                                   fuck singtel srs   \n",
       "17520                        singtel start pattern ready   \n",
       "17521  location network speed gets normal getting inw...   \n",
       "17522  terrible connections sembawang beach area much...   \n",
       "17523            day forgot change sim card back singtel   \n",
       "\n",
       "                                                   score  negative  neutral  \\\n",
       "0      {'neg': 0.0, 'neu': 0.729, 'pos': 0.271, 'comp...     0.000    0.729   \n",
       "1      {'neg': 0.0, 'neu': 0.729, 'pos': 0.271, 'comp...     0.000    0.729   \n",
       "2      {'neg': 0.064, 'neu': 0.822, 'pos': 0.114, 'co...     0.064    0.822   \n",
       "3      {'neg': 0.0, 'neu': 0.755, 'pos': 0.245, 'comp...     0.000    0.755   \n",
       "4      {'neg': 0.0, 'neu': 0.776, 'pos': 0.224, 'comp...     0.000    0.776   \n",
       "...                                                  ...       ...      ...   \n",
       "17519  {'neg': 0.636, 'neu': 0.364, 'pos': 0.0, 'comp...     0.636    0.364   \n",
       "17520  {'neg': 0.0, 'neu': 0.545, 'pos': 0.455, 'comp...     0.000    0.545   \n",
       "17521  {'neg': 0.0, 'neu': 0.746, 'pos': 0.254, 'comp...     0.000    0.746   \n",
       "17522  {'neg': 0.307, 'neu': 0.693, 'pos': 0.0, 'comp...     0.307    0.693   \n",
       "17523  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...     0.000    1.000   \n",
       "\n",
       "       positive  compound  week  year  \n",
       "0         0.271    0.3818    53  2020  \n",
       "1         0.271    0.3818    53  2020  \n",
       "2         0.114    0.2732    53  2020  \n",
       "3         0.245    0.3818    53  2020  \n",
       "4         0.224    0.3818    53  2020  \n",
       "...         ...       ...   ...   ...  \n",
       "17519     0.000   -0.5423    52  2022  \n",
       "17520     0.455    0.3612    52  2022  \n",
       "17521     0.254    0.7003    52  2022  \n",
       "17522     0.000   -0.4767    52  2022  \n",
       "17523     0.000    0.0000    52  2022  \n",
       "\n",
       "[17524 rows x 13 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "singtel_tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "singtel_tweets = singtel_tweets.groupby('Date').agg('mean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Date'] = df['Date'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = singtel_tweets.merge(df,left_on='Date',right_on='Date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "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>Date</th>\n",
       "      <th>likeCount</th>\n",
       "      <th>negative</th>\n",
       "      <th>neutral</th>\n",
       "      <th>positive</th>\n",
       "      <th>compound</th>\n",
       "      <th>week</th>\n",
       "      <th>year</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",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>3.466667</td>\n",
       "      <td>0.075667</td>\n",
       "      <td>0.816733</td>\n",
       "      <td>0.107600</td>\n",
       "      <td>0.090227</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.33</td>\n",
       "      <td>2.30</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.182576</td>\n",
       "      <td>19802200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-01-05</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.061100</td>\n",
       "      <td>0.756350</td>\n",
       "      <td>0.182550</td>\n",
       "      <td>0.232310</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.29</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.192024</td>\n",
       "      <td>31961800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-01-06</td>\n",
       "      <td>3.647059</td>\n",
       "      <td>0.058118</td>\n",
       "      <td>0.849706</td>\n",
       "      <td>0.092176</td>\n",
       "      <td>0.113788</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.27</td>\n",
       "      <td>2.30</td>\n",
       "      <td>2.173128</td>\n",
       "      <td>35704600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>0.020750</td>\n",
       "      <td>0.849063</td>\n",
       "      <td>0.130188</td>\n",
       "      <td>0.185175</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.29</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.267612</td>\n",
       "      <td>69034700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.046700</td>\n",
       "      <td>0.760400</td>\n",
       "      <td>0.192900</td>\n",
       "      <td>0.289230</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.42</td>\n",
       "      <td>2.46</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.46</td>\n",
       "      <td>2.324302</td>\n",
       "      <td>66271300</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",
       "      <td>...</td>\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",
       "      <th>498</th>\n",
       "      <td>2022-12-23</td>\n",
       "      <td>1.187500</td>\n",
       "      <td>0.144125</td>\n",
       "      <td>0.710500</td>\n",
       "      <td>0.145375</td>\n",
       "      <td>0.040650</td>\n",
       "      <td>51.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.570000</td>\n",
       "      <td>8518500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>2022-12-27</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.068583</td>\n",
       "      <td>0.789917</td>\n",
       "      <td>0.141500</td>\n",
       "      <td>0.144108</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.60</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.580000</td>\n",
       "      <td>6353800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>2022-12-28</td>\n",
       "      <td>5.352941</td>\n",
       "      <td>0.083647</td>\n",
       "      <td>0.759588</td>\n",
       "      <td>0.156706</td>\n",
       "      <td>0.181253</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.580000</td>\n",
       "      <td>9060100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>2022-12-29</td>\n",
       "      <td>1.379310</td>\n",
       "      <td>0.097448</td>\n",
       "      <td>0.779793</td>\n",
       "      <td>0.122759</td>\n",
       "      <td>0.104248</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.560000</td>\n",
       "      <td>15897600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>2022-12-30</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.093062</td>\n",
       "      <td>0.740500</td>\n",
       "      <td>0.166500</td>\n",
       "      <td>0.169944</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.570000</td>\n",
       "      <td>9788500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>503 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date  likeCount  negative   neutral  positive  compound  week  \\\n",
       "0    2021-01-04   3.466667  0.075667  0.816733  0.107600  0.090227   1.0   \n",
       "1    2021-01-05   0.550000  0.061100  0.756350  0.182550  0.232310   1.0   \n",
       "2    2021-01-06   3.647059  0.058118  0.849706  0.092176  0.113788   1.0   \n",
       "3    2021-01-07   0.375000  0.020750  0.849063  0.130188  0.185175   1.0   \n",
       "4    2021-01-08   0.300000  0.046700  0.760400  0.192900  0.289230   1.0   \n",
       "..          ...        ...       ...       ...       ...       ...   ...   \n",
       "498  2022-12-23   1.187500  0.144125  0.710500  0.145375  0.040650  51.0   \n",
       "499  2022-12-27   0.333333  0.068583  0.789917  0.141500  0.144108  52.0   \n",
       "500  2022-12-28   5.352941  0.083647  0.759588  0.156706  0.181253  52.0   \n",
       "501  2022-12-29   1.379310  0.097448  0.779793  0.122759  0.104248  52.0   \n",
       "502  2022-12-30   0.125000  0.093062  0.740500  0.166500  0.169944  52.0   \n",
       "\n",
       "       year  Open  High   Low  Close  Adj Close    Volume  \n",
       "0    2021.0  2.32  2.33  2.30   2.31   2.182576  19802200  \n",
       "1    2021.0  2.31  2.32  2.29   2.32   2.192024  31961800  \n",
       "2    2021.0  2.31  2.32  2.27   2.30   2.173128  35704600  \n",
       "3    2021.0  2.31  2.40  2.29   2.40   2.267612  69034700  \n",
       "4    2021.0  2.42  2.46  2.39   2.46   2.324302  66271300  \n",
       "..      ...   ...   ...   ...    ...        ...       ...  \n",
       "498  2022.0  2.58  2.59  2.56   2.57   2.570000   8518500  \n",
       "499  2022.0  2.59  2.60  2.58   2.58   2.580000   6353800  \n",
       "500  2022.0  2.58  2.59  2.56   2.58   2.580000   9060100  \n",
       "501  2022.0  2.57  2.57  2.55   2.56   2.560000  15897600  \n",
       "502  2022.0  2.58  2.59  2.56   2.57   2.570000   9788500  \n",
       "\n",
       "[503 rows x 14 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas import read_csv\n",
    "from matplotlib import pyplot\n",
    "# load dataset\n",
    "values = result.values\n",
    "# specify columns to plot\n",
    "groups = [1, 2, 3, 4, 5, 8,  9, 10, 11, 12]\n",
    "i = 1\n",
    "# plot each column\n",
    "pyplot.figure(figsize=(15,10))\n",
    "for group in groups:\n",
    " pyplot.subplot(len(groups), 1, i)\n",
    " pyplot.plot(values[:, group])\n",
    " pyplot.title(result.columns[group], y=0.5, loc='right')\n",
    " i += 1\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "columns = ['likeCount', 'negative', 'neutral', 'positive', 'compound', 'Open', 'High', 'Low', 'Close', 'Adj Close']\n",
    "values = result[columns].astype('float32')\n",
    "Y = values.filter(items=['Adj Close'])\n",
    "X = values.filter(columns).drop(columns='Adj Close')\n",
    "# normalize features\n",
    "scaler = MinMaxScaler(feature_range=(0, 1))\n",
    "X_scaled = scaler.fit_transform(X)\n",
    "Y_scaled = scaler.fit_transform(Y)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "503"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "split = 335\n",
    "x_train, x_test = X_scaled[:335,:], X_scaled[335:,:]\n",
    "y_train, y_test = Y_scaled[:335,:], Y_scaled[335:,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(335, 1, 9) (335, 1) (168, 1, 9) (168, 1)\n"
     ]
    }
   ],
   "source": [
    "train_X = x_train.reshape((x_train.shape[0], 1, x_train.shape[1]))\n",
    "test_X = x_test.reshape((x_test.shape[0], 1, x_test.shape[1]))\n",
    "print(train_X.shape, y_train.shape, test_X.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "from keras.layers import LSTM"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try running LSTM on just stock data first"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(335, 1, 4) (335, 1) (168, 1, 4) (168, 1)\n"
     ]
    }
   ],
   "source": [
    "x_stock = X.drop(columns=['likeCount','negative','neutral','positive','compound'])\n",
    "X_stock_scaled = scaler.fit_transform(x_stock)\n",
    "x_stock_train, x_stock_test = X_stock_scaled[:335,:], X_stock_scaled[335:,:]\n",
    "Y_scaled = scaler.fit_transform(Y)\n",
    "\n",
    "train_X_stock = x_stock_train.reshape((x_stock_train.shape[0], 1, x_stock_train.shape[1]))\n",
    "test_X_stock = x_stock_test.reshape((x_stock_test.shape[0], 1, x_stock_test.shape[1]))\n",
    "print(train_X_stock.shape, y_train.shape, test_X_stock.shape, y_test.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "5/5 - 2s - loss: 0.2859 - accuracy: 0.0119 - val_loss: 0.5896 - val_accuracy: 0.0000e+00 - 2s/epoch - 491ms/step\n",
      "Epoch 2/50\n",
      "5/5 - 0s - loss: 0.2511 - accuracy: 0.0119 - val_loss: 0.5372 - val_accuracy: 0.0000e+00 - 40ms/epoch - 8ms/step\n",
      "Epoch 3/50\n",
      "5/5 - 0s - loss: 0.2165 - accuracy: 0.0119 - val_loss: 0.4839 - val_accuracy: 0.0000e+00 - 43ms/epoch - 9ms/step\n",
      "Epoch 4/50\n",
      "5/5 - 0s - loss: 0.1820 - accuracy: 0.0119 - val_loss: 0.4291 - val_accuracy: 0.0000e+00 - 43ms/epoch - 9ms/step\n",
      "Epoch 5/50\n",
      "5/5 - 0s - loss: 0.1481 - accuracy: 0.0119 - val_loss: 0.3725 - val_accuracy: 0.0000e+00 - 42ms/epoch - 8ms/step\n",
      "Epoch 6/50\n",
      "5/5 - 0s - loss: 0.1158 - accuracy: 0.0119 - val_loss: 0.3145 - val_accuracy: 0.0000e+00 - 41ms/epoch - 8ms/step\n",
      "Epoch 7/50\n",
      "5/5 - 0s - loss: 0.0864 - accuracy: 0.0119 - val_loss: 0.2563 - val_accuracy: 0.0000e+00 - 41ms/epoch - 8ms/step\n",
      "Epoch 8/50\n",
      "5/5 - 0s - loss: 0.0659 - accuracy: 0.0119 - val_loss: 0.2036 - val_accuracy: 0.0000e+00 - 57ms/epoch - 11ms/step\n",
      "Epoch 9/50\n",
      "5/5 - 0s - loss: 0.0593 - accuracy: 0.0119 - val_loss: 0.1624 - val_accuracy: 0.0000e+00 - 59ms/epoch - 12ms/step\n",
      "Epoch 10/50\n",
      "5/5 - 0s - loss: 0.0612 - accuracy: 0.0119 - val_loss: 0.1356 - val_accuracy: 0.0000e+00 - 51ms/epoch - 10ms/step\n",
      "Epoch 11/50\n",
      "5/5 - 0s - loss: 0.0646 - accuracy: 0.0119 - val_loss: 0.1226 - val_accuracy: 0.0000e+00 - 51ms/epoch - 10ms/step\n",
      "Epoch 12/50\n",
      "5/5 - 0s - loss: 0.0654 - accuracy: 0.0119 - val_loss: 0.1196 - val_accuracy: 0.0000e+00 - 46ms/epoch - 9ms/step\n",
      "Epoch 13/50\n",
      "5/5 - 0s - loss: 0.0640 - accuracy: 0.0119 - val_loss: 0.1222 - val_accuracy: 0.0000e+00 - 40ms/epoch - 8ms/step\n",
      "Epoch 14/50\n",
      "5/5 - 0s - loss: 0.0615 - accuracy: 0.0119 - val_loss: 0.1269 - val_accuracy: 0.0000e+00 - 41ms/epoch - 8ms/step\n",
      "Epoch 15/50\n",
      "5/5 - 0s - loss: 0.0588 - accuracy: 0.0119 - val_loss: 0.1313 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 16/50\n",
      "5/5 - 0s - loss: 0.0563 - accuracy: 0.0119 - val_loss: 0.1342 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 17/50\n",
      "5/5 - 0s - loss: 0.0541 - accuracy: 0.0119 - val_loss: 0.1346 - val_accuracy: 0.0000e+00 - 43ms/epoch - 9ms/step\n",
      "Epoch 18/50\n",
      "5/5 - 0s - loss: 0.0522 - accuracy: 0.0119 - val_loss: 0.1325 - val_accuracy: 0.0000e+00 - 41ms/epoch - 8ms/step\n",
      "Epoch 19/50\n",
      "5/5 - 0s - loss: 0.0505 - accuracy: 0.0119 - val_loss: 0.1286 - val_accuracy: 0.0000e+00 - 48ms/epoch - 10ms/step\n",
      "Epoch 20/50\n",
      "5/5 - 0s - loss: 0.0491 - accuracy: 0.0119 - val_loss: 0.1242 - val_accuracy: 0.0000e+00 - 61ms/epoch - 12ms/step\n",
      "Epoch 21/50\n",
      "5/5 - 0s - loss: 0.0479 - accuracy: 0.0119 - val_loss: 0.1198 - val_accuracy: 0.0000e+00 - 57ms/epoch - 11ms/step\n",
      "Epoch 22/50\n",
      "5/5 - 0s - loss: 0.0467 - accuracy: 0.0119 - val_loss: 0.1158 - val_accuracy: 0.0000e+00 - 42ms/epoch - 8ms/step\n",
      "Epoch 23/50\n",
      "5/5 - 0s - loss: 0.0455 - accuracy: 0.0119 - val_loss: 0.1125 - val_accuracy: 0.0000e+00 - 40ms/epoch - 8ms/step\n",
      "Epoch 24/50\n",
      "5/5 - 0s - loss: 0.0443 - accuracy: 0.0119 - val_loss: 0.1095 - val_accuracy: 0.0000e+00 - 38ms/epoch - 8ms/step\n",
      "Epoch 25/50\n",
      "5/5 - 0s - loss: 0.0431 - accuracy: 0.0119 - val_loss: 0.1064 - val_accuracy: 0.0000e+00 - 37ms/epoch - 7ms/step\n",
      "Epoch 26/50\n",
      "5/5 - 0s - loss: 0.0419 - accuracy: 0.0119 - val_loss: 0.1033 - val_accuracy: 0.0000e+00 - 45ms/epoch - 9ms/step\n",
      "Epoch 27/50\n",
      "5/5 - 0s - loss: 0.0407 - accuracy: 0.0119 - val_loss: 0.1000 - val_accuracy: 0.0000e+00 - 37ms/epoch - 7ms/step\n",
      "Epoch 28/50\n",
      "5/5 - 0s - loss: 0.0396 - accuracy: 0.0119 - val_loss: 0.0962 - val_accuracy: 0.0000e+00 - 49ms/epoch - 10ms/step\n",
      "Epoch 29/50\n",
      "5/5 - 0s - loss: 0.0387 - accuracy: 0.0119 - val_loss: 0.0920 - val_accuracy: 0.0000e+00 - 54ms/epoch - 11ms/step\n",
      "Epoch 30/50\n",
      "5/5 - 0s - loss: 0.0378 - accuracy: 0.0119 - val_loss: 0.0879 - val_accuracy: 0.0000e+00 - 52ms/epoch - 10ms/step\n",
      "Epoch 31/50\n",
      "5/5 - 0s - loss: 0.0372 - accuracy: 0.0119 - val_loss: 0.0843 - val_accuracy: 0.0000e+00 - 44ms/epoch - 9ms/step\n",
      "Epoch 32/50\n",
      "5/5 - 0s - loss: 0.0366 - accuracy: 0.0119 - val_loss: 0.0815 - val_accuracy: 0.0000e+00 - 36ms/epoch - 7ms/step\n",
      "Epoch 33/50\n",
      "5/5 - 0s - loss: 0.0361 - accuracy: 0.0119 - val_loss: 0.0795 - val_accuracy: 0.0000e+00 - 38ms/epoch - 8ms/step\n",
      "Epoch 34/50\n",
      "5/5 - 0s - loss: 0.0355 - accuracy: 0.0119 - val_loss: 0.0777 - val_accuracy: 0.0000e+00 - 38ms/epoch - 8ms/step\n",
      "Epoch 35/50\n",
      "5/5 - 0s - loss: 0.0349 - accuracy: 0.0119 - val_loss: 0.0757 - val_accuracy: 0.0000e+00 - 42ms/epoch - 8ms/step\n",
      "Epoch 36/50\n",
      "5/5 - 0s - loss: 0.0345 - accuracy: 0.0119 - val_loss: 0.0740 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 37/50\n",
      "5/5 - 0s - loss: 0.0340 - accuracy: 0.0119 - val_loss: 0.0723 - val_accuracy: 0.0000e+00 - 57ms/epoch - 11ms/step\n",
      "Epoch 38/50\n",
      "5/5 - 0s - loss: 0.0336 - accuracy: 0.0119 - val_loss: 0.0706 - val_accuracy: 0.0000e+00 - 45ms/epoch - 9ms/step\n",
      "Epoch 39/50\n",
      "5/5 - 0s - loss: 0.0332 - accuracy: 0.0119 - val_loss: 0.0690 - val_accuracy: 0.0000e+00 - 46ms/epoch - 9ms/step\n",
      "Epoch 40/50\n",
      "5/5 - 0s - loss: 0.0329 - accuracy: 0.0119 - val_loss: 0.0680 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 41/50\n",
      "5/5 - 0s - loss: 0.0325 - accuracy: 0.0119 - val_loss: 0.0672 - val_accuracy: 0.0000e+00 - 37ms/epoch - 7ms/step\n",
      "Epoch 42/50\n",
      "5/5 - 0s - loss: 0.0322 - accuracy: 0.0119 - val_loss: 0.0669 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 43/50\n",
      "5/5 - 0s - loss: 0.0319 - accuracy: 0.0119 - val_loss: 0.0665 - val_accuracy: 0.0000e+00 - 42ms/epoch - 8ms/step\n",
      "Epoch 44/50\n",
      "5/5 - 0s - loss: 0.0317 - accuracy: 0.0119 - val_loss: 0.0664 - val_accuracy: 0.0000e+00 - 41ms/epoch - 8ms/step\n",
      "Epoch 45/50\n",
      "5/5 - 0s - loss: 0.0314 - accuracy: 0.0119 - val_loss: 0.0662 - val_accuracy: 0.0000e+00 - 65ms/epoch - 13ms/step\n",
      "Epoch 46/50\n",
      "5/5 - 0s - loss: 0.0312 - accuracy: 0.0119 - val_loss: 0.0659 - val_accuracy: 0.0000e+00 - 45ms/epoch - 9ms/step\n",
      "Epoch 47/50\n",
      "5/5 - 0s - loss: 0.0312 - accuracy: 0.0119 - val_loss: 0.0660 - val_accuracy: 0.0000e+00 - 49ms/epoch - 10ms/step\n",
      "Epoch 48/50\n",
      "5/5 - 0s - loss: 0.0310 - accuracy: 0.0119 - val_loss: 0.0662 - val_accuracy: 0.0000e+00 - 59ms/epoch - 12ms/step\n",
      "Epoch 49/50\n",
      "5/5 - 0s - loss: 0.0308 - accuracy: 0.0119 - val_loss: 0.0660 - val_accuracy: 0.0000e+00 - 77ms/epoch - 15ms/step\n",
      "Epoch 50/50\n",
      "5/5 - 0s - loss: 0.0307 - accuracy: 0.0119 - val_loss: 0.0656 - val_accuracy: 0.0000e+00 - 44ms/epoch - 9ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# design network\n",
    "model = Sequential()\n",
    "model.add(LSTM(50, input_shape=(train_X_stock.shape[1], train_X_stock.shape[2])))\n",
    "model.add(Dense(1))\n",
    "model.compile(loss='mae', optimizer='adam',metrics=['accuracy'])\n",
    "# fit network\n",
    "history = model.fit(train_X_stock, y_train, epochs=50, batch_size=72, validation_data=(test_X_stock, y_test), verbose=2, shuffle=False)\n",
    "# plot history\n",
    "pyplot.plot(history.history['loss'], label='train')\n",
    "pyplot.plot(history.history['val_loss'], label='test')\n",
    "pyplot.legend()\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6/6 [==============================] - 0s 2ms/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1.8439547"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = model.predict(test_X_stock)\n",
    "predictions = scaler.inverse_transform(predictions)\n",
    "predictions = predictions[:,0]\n",
    "\n",
    "# Get the root mean squared error (RMSE)\n",
    "rmse = np.sqrt(np.mean(((predictions - y_test) ** 2)))\n",
    "rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\eliga\\AppData\\Local\\Temp/ipykernel_7636/1729152394.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",
      "  valid['Predictions'] = predictions\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train = result[:335]\n",
    "valid = result[335:]\n",
    "valid['Predictions'] = predictions\n",
    "# Visualize the data\n",
    "plt.figure(figsize=(16,6))\n",
    "plt.title('Model')\n",
    "plt.xlabel('Date', fontsize=18)\n",
    "plt.ylabel('Close Price USD ($)', fontsize=18)\n",
    "plt.plot(train['Close'])\n",
    "plt.plot(valid[['Close', 'Predictions']])\n",
    "plt.legend(['Train', 'Val', 'Predictions'], loc='lower left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "5/5 - 2s - loss: 0.3138 - accuracy: 0.0119 - val_loss: 0.6528 - val_accuracy: 0.0000e+00 - 2s/epoch - 495ms/step\n",
      "Epoch 2/50\n",
      "5/5 - 0s - loss: 0.2569 - accuracy: 0.0119 - val_loss: 0.5764 - val_accuracy: 0.0000e+00 - 52ms/epoch - 10ms/step\n",
      "Epoch 3/50\n",
      "5/5 - 0s - loss: 0.2050 - accuracy: 0.0119 - val_loss: 0.5002 - val_accuracy: 0.0000e+00 - 52ms/epoch - 10ms/step\n",
      "Epoch 4/50\n",
      "5/5 - 0s - loss: 0.1584 - accuracy: 0.0119 - val_loss: 0.4242 - val_accuracy: 0.0000e+00 - 42ms/epoch - 8ms/step\n",
      "Epoch 5/50\n",
      "5/5 - 0s - loss: 0.1216 - accuracy: 0.0119 - val_loss: 0.3532 - val_accuracy: 0.0000e+00 - 45ms/epoch - 9ms/step\n",
      "Epoch 6/50\n",
      "5/5 - 0s - loss: 0.1057 - accuracy: 0.0119 - val_loss: 0.2941 - val_accuracy: 0.0000e+00 - 38ms/epoch - 8ms/step\n",
      "Epoch 7/50\n",
      "5/5 - 0s - loss: 0.1034 - accuracy: 0.0119 - val_loss: 0.2525 - val_accuracy: 0.0000e+00 - 45ms/epoch - 9ms/step\n",
      "Epoch 8/50\n",
      "5/5 - 0s - loss: 0.1059 - accuracy: 0.0119 - val_loss: 0.2282 - val_accuracy: 0.0000e+00 - 51ms/epoch - 10ms/step\n",
      "Epoch 9/50\n",
      "5/5 - 0s - loss: 0.1072 - accuracy: 0.0119 - val_loss: 0.2172 - val_accuracy: 0.0000e+00 - 48ms/epoch - 10ms/step\n",
      "Epoch 10/50\n",
      "5/5 - 0s - loss: 0.1058 - accuracy: 0.0119 - val_loss: 0.2153 - val_accuracy: 0.0000e+00 - 41ms/epoch - 8ms/step\n",
      "Epoch 11/50\n",
      "5/5 - 0s - loss: 0.1024 - accuracy: 0.0119 - val_loss: 0.2175 - val_accuracy: 0.0000e+00 - 48ms/epoch - 10ms/step\n",
      "Epoch 12/50\n",
      "5/5 - 0s - loss: 0.0981 - accuracy: 0.0119 - val_loss: 0.2204 - val_accuracy: 0.0000e+00 - 53ms/epoch - 11ms/step\n",
      "Epoch 13/50\n",
      "5/5 - 0s - loss: 0.0939 - accuracy: 0.0119 - val_loss: 0.2223 - val_accuracy: 0.0000e+00 - 45ms/epoch - 9ms/step\n",
      "Epoch 14/50\n",
      "5/5 - 0s - loss: 0.0898 - accuracy: 0.0119 - val_loss: 0.2225 - val_accuracy: 0.0000e+00 - 46ms/epoch - 9ms/step\n",
      "Epoch 15/50\n",
      "5/5 - 0s - loss: 0.0860 - accuracy: 0.0119 - val_loss: 0.2205 - val_accuracy: 0.0000e+00 - 47ms/epoch - 9ms/step\n",
      "Epoch 16/50\n",
      "5/5 - 0s - loss: 0.0824 - accuracy: 0.0119 - val_loss: 0.2157 - val_accuracy: 0.0000e+00 - 42ms/epoch - 8ms/step\n",
      "Epoch 17/50\n",
      "5/5 - 0s - loss: 0.0790 - accuracy: 0.0119 - val_loss: 0.2085 - val_accuracy: 0.0000e+00 - 45ms/epoch - 9ms/step\n",
      "Epoch 18/50\n",
      "5/5 - 0s - loss: 0.0758 - accuracy: 0.0119 - val_loss: 0.1996 - val_accuracy: 0.0000e+00 - 47ms/epoch - 9ms/step\n",
      "Epoch 19/50\n",
      "5/5 - 0s - loss: 0.0729 - accuracy: 0.0119 - val_loss: 0.1901 - val_accuracy: 0.0000e+00 - 48ms/epoch - 10ms/step\n",
      "Epoch 20/50\n",
      "5/5 - 0s - loss: 0.0700 - accuracy: 0.0119 - val_loss: 0.1808 - val_accuracy: 0.0000e+00 - 42ms/epoch - 8ms/step\n",
      "Epoch 21/50\n",
      "5/5 - 0s - loss: 0.0672 - accuracy: 0.0119 - val_loss: 0.1721 - val_accuracy: 0.0000e+00 - 58ms/epoch - 12ms/step\n",
      "Epoch 22/50\n",
      "5/5 - 0s - loss: 0.0644 - accuracy: 0.0119 - val_loss: 0.1639 - val_accuracy: 0.0000e+00 - 62ms/epoch - 12ms/step\n",
      "Epoch 23/50\n",
      "5/5 - 0s - loss: 0.0616 - accuracy: 0.0119 - val_loss: 0.1555 - val_accuracy: 0.0000e+00 - 82ms/epoch - 16ms/step\n",
      "Epoch 24/50\n",
      "5/5 - 0s - loss: 0.0588 - accuracy: 0.0119 - val_loss: 0.1469 - val_accuracy: 0.0000e+00 - 51ms/epoch - 10ms/step\n",
      "Epoch 25/50\n",
      "5/5 - 0s - loss: 0.0561 - accuracy: 0.0119 - val_loss: 0.1382 - val_accuracy: 0.0000e+00 - 47ms/epoch - 9ms/step\n",
      "Epoch 26/50\n",
      "5/5 - 0s - loss: 0.0536 - accuracy: 0.0119 - val_loss: 0.1298 - val_accuracy: 0.0000e+00 - 52ms/epoch - 10ms/step\n",
      "Epoch 27/50\n",
      "5/5 - 0s - loss: 0.0511 - accuracy: 0.0119 - val_loss: 0.1221 - val_accuracy: 0.0000e+00 - 36ms/epoch - 7ms/step\n",
      "Epoch 28/50\n",
      "5/5 - 0s - loss: 0.0488 - accuracy: 0.0119 - val_loss: 0.1155 - val_accuracy: 0.0000e+00 - 33ms/epoch - 7ms/step\n",
      "Epoch 29/50\n",
      "5/5 - 0s - loss: 0.0464 - accuracy: 0.0119 - val_loss: 0.1098 - val_accuracy: 0.0000e+00 - 45ms/epoch - 9ms/step\n",
      "Epoch 30/50\n",
      "5/5 - 0s - loss: 0.0439 - accuracy: 0.0119 - val_loss: 0.1042 - val_accuracy: 0.0000e+00 - 53ms/epoch - 11ms/step\n",
      "Epoch 31/50\n",
      "5/5 - 0s - loss: 0.0414 - accuracy: 0.0119 - val_loss: 0.0978 - val_accuracy: 0.0000e+00 - 40ms/epoch - 8ms/step\n",
      "Epoch 32/50\n",
      "5/5 - 0s - loss: 0.0392 - accuracy: 0.0119 - val_loss: 0.0912 - val_accuracy: 0.0000e+00 - 49ms/epoch - 10ms/step\n",
      "Epoch 33/50\n",
      "5/5 - 0s - loss: 0.0376 - accuracy: 0.0119 - val_loss: 0.0862 - val_accuracy: 0.0000e+00 - 48ms/epoch - 10ms/step\n",
      "Epoch 34/50\n",
      "5/5 - 0s - loss: 0.0360 - accuracy: 0.0119 - val_loss: 0.0819 - val_accuracy: 0.0000e+00 - 37ms/epoch - 7ms/step\n",
      "Epoch 35/50\n",
      "5/5 - 0s - loss: 0.0345 - accuracy: 0.0119 - val_loss: 0.0778 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 36/50\n",
      "5/5 - 0s - loss: 0.0333 - accuracy: 0.0119 - val_loss: 0.0731 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 37/50\n",
      "5/5 - 0s - loss: 0.0324 - accuracy: 0.0119 - val_loss: 0.0695 - val_accuracy: 0.0000e+00 - 49ms/epoch - 10ms/step\n",
      "Epoch 38/50\n",
      "5/5 - 0s - loss: 0.0322 - accuracy: 0.0119 - val_loss: 0.0686 - val_accuracy: 0.0000e+00 - 55ms/epoch - 11ms/step\n",
      "Epoch 39/50\n",
      "5/5 - 0s - loss: 0.0318 - accuracy: 0.0119 - val_loss: 0.0676 - val_accuracy: 0.0000e+00 - 49ms/epoch - 10ms/step\n",
      "Epoch 40/50\n",
      "5/5 - 0s - loss: 0.0315 - accuracy: 0.0119 - val_loss: 0.0665 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 41/50\n",
      "5/5 - 0s - loss: 0.0314 - accuracy: 0.0119 - val_loss: 0.0659 - val_accuracy: 0.0000e+00 - 38ms/epoch - 8ms/step\n",
      "Epoch 42/50\n",
      "5/5 - 0s - loss: 0.0314 - accuracy: 0.0119 - val_loss: 0.0655 - val_accuracy: 0.0000e+00 - 38ms/epoch - 8ms/step\n",
      "Epoch 43/50\n",
      "5/5 - 0s - loss: 0.0313 - accuracy: 0.0119 - val_loss: 0.0655 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 44/50\n",
      "5/5 - 0s - loss: 0.0313 - accuracy: 0.0119 - val_loss: 0.0654 - val_accuracy: 0.0000e+00 - 39ms/epoch - 8ms/step\n",
      "Epoch 45/50\n",
      "5/5 - 0s - loss: 0.0312 - accuracy: 0.0119 - val_loss: 0.0650 - val_accuracy: 0.0000e+00 - 37ms/epoch - 7ms/step\n",
      "Epoch 46/50\n",
      "5/5 - 0s - loss: 0.0312 - accuracy: 0.0119 - val_loss: 0.0648 - val_accuracy: 0.0000e+00 - 38ms/epoch - 8ms/step\n",
      "Epoch 47/50\n",
      "5/5 - 0s - loss: 0.0312 - accuracy: 0.0119 - val_loss: 0.0649 - val_accuracy: 0.0000e+00 - 38ms/epoch - 8ms/step\n",
      "Epoch 48/50\n",
      "5/5 - 0s - loss: 0.0313 - accuracy: 0.0119 - val_loss: 0.0652 - val_accuracy: 0.0000e+00 - 43ms/epoch - 9ms/step\n",
      "Epoch 49/50\n",
      "5/5 - 0s - loss: 0.0312 - accuracy: 0.0119 - val_loss: 0.0652 - val_accuracy: 0.0000e+00 - 45ms/epoch - 9ms/step\n",
      "Epoch 50/50\n",
      "5/5 - 0s - loss: 0.0311 - accuracy: 0.0119 - val_loss: 0.0649 - val_accuracy: 0.0000e+00 - 51ms/epoch - 10ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# design network\n",
    "model = Sequential()\n",
    "model.add(LSTM(50, input_shape=(train_X.shape[1], train_X.shape[2])))\n",
    "model.add(Dense(1))\n",
    "model.compile(loss='mae', optimizer='adam',metrics=['accuracy'])\n",
    "# fit network\n",
    "history = model.fit(train_X, y_train, epochs=50, batch_size=72, validation_data=(test_X, y_test), verbose=2, shuffle=False)\n",
    "# plot history\n",
    "pyplot.plot(history.history['loss'], label='train')\n",
    "pyplot.plot(history.history['val_loss'], label='test')\n",
    "pyplot.legend()\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6/6 [==============================] - 0s 2ms/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1.8466736"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = model.predict(test_X)\n",
    "predictions = scaler.inverse_transform(predictions)\n",
    "predictions = predictions[:,0]\n",
    "\n",
    "# Get the root mean squared error (RMSE)\n",
    "rmse = np.sqrt(np.mean(((predictions - y_test) ** 2)))\n",
    "rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "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>Date</th>\n",
       "      <th>likeCount</th>\n",
       "      <th>negative</th>\n",
       "      <th>neutral</th>\n",
       "      <th>positive</th>\n",
       "      <th>compound</th>\n",
       "      <th>week</th>\n",
       "      <th>year</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",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>3.466667</td>\n",
       "      <td>0.075667</td>\n",
       "      <td>0.816733</td>\n",
       "      <td>0.107600</td>\n",
       "      <td>0.090227</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.33</td>\n",
       "      <td>2.30</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.182576</td>\n",
       "      <td>19802200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-01-05</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.061100</td>\n",
       "      <td>0.756350</td>\n",
       "      <td>0.182550</td>\n",
       "      <td>0.232310</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.29</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.192024</td>\n",
       "      <td>31961800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-01-06</td>\n",
       "      <td>3.647059</td>\n",
       "      <td>0.058118</td>\n",
       "      <td>0.849706</td>\n",
       "      <td>0.092176</td>\n",
       "      <td>0.113788</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.27</td>\n",
       "      <td>2.30</td>\n",
       "      <td>2.173128</td>\n",
       "      <td>35704600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>0.020750</td>\n",
       "      <td>0.849063</td>\n",
       "      <td>0.130188</td>\n",
       "      <td>0.185175</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.29</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.267612</td>\n",
       "      <td>69034700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.046700</td>\n",
       "      <td>0.760400</td>\n",
       "      <td>0.192900</td>\n",
       "      <td>0.289230</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>2.42</td>\n",
       "      <td>2.46</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.46</td>\n",
       "      <td>2.324302</td>\n",
       "      <td>66271300</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",
       "      <td>...</td>\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",
       "      <th>498</th>\n",
       "      <td>2022-12-23</td>\n",
       "      <td>1.187500</td>\n",
       "      <td>0.144125</td>\n",
       "      <td>0.710500</td>\n",
       "      <td>0.145375</td>\n",
       "      <td>0.040650</td>\n",
       "      <td>51.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.570000</td>\n",
       "      <td>8518500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>2022-12-27</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.068583</td>\n",
       "      <td>0.789917</td>\n",
       "      <td>0.141500</td>\n",
       "      <td>0.144108</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.60</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.580000</td>\n",
       "      <td>6353800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>2022-12-28</td>\n",
       "      <td>5.352941</td>\n",
       "      <td>0.083647</td>\n",
       "      <td>0.759588</td>\n",
       "      <td>0.156706</td>\n",
       "      <td>0.181253</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.580000</td>\n",
       "      <td>9060100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>2022-12-29</td>\n",
       "      <td>1.379310</td>\n",
       "      <td>0.097448</td>\n",
       "      <td>0.779793</td>\n",
       "      <td>0.122759</td>\n",
       "      <td>0.104248</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.560000</td>\n",
       "      <td>15897600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>2022-12-30</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.093062</td>\n",
       "      <td>0.740500</td>\n",
       "      <td>0.166500</td>\n",
       "      <td>0.169944</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2.58</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.570000</td>\n",
       "      <td>9788500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>503 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date  likeCount  negative   neutral  positive  compound  week  \\\n",
       "0    2021-01-04   3.466667  0.075667  0.816733  0.107600  0.090227   1.0   \n",
       "1    2021-01-05   0.550000  0.061100  0.756350  0.182550  0.232310   1.0   \n",
       "2    2021-01-06   3.647059  0.058118  0.849706  0.092176  0.113788   1.0   \n",
       "3    2021-01-07   0.375000  0.020750  0.849063  0.130188  0.185175   1.0   \n",
       "4    2021-01-08   0.300000  0.046700  0.760400  0.192900  0.289230   1.0   \n",
       "..          ...        ...       ...       ...       ...       ...   ...   \n",
       "498  2022-12-23   1.187500  0.144125  0.710500  0.145375  0.040650  51.0   \n",
       "499  2022-12-27   0.333333  0.068583  0.789917  0.141500  0.144108  52.0   \n",
       "500  2022-12-28   5.352941  0.083647  0.759588  0.156706  0.181253  52.0   \n",
       "501  2022-12-29   1.379310  0.097448  0.779793  0.122759  0.104248  52.0   \n",
       "502  2022-12-30   0.125000  0.093062  0.740500  0.166500  0.169944  52.0   \n",
       "\n",
       "       year  Open  High   Low  Close  Adj Close    Volume  \n",
       "0    2021.0  2.32  2.33  2.30   2.31   2.182576  19802200  \n",
       "1    2021.0  2.31  2.32  2.29   2.32   2.192024  31961800  \n",
       "2    2021.0  2.31  2.32  2.27   2.30   2.173128  35704600  \n",
       "3    2021.0  2.31  2.40  2.29   2.40   2.267612  69034700  \n",
       "4    2021.0  2.42  2.46  2.39   2.46   2.324302  66271300  \n",
       "..      ...   ...   ...   ...    ...        ...       ...  \n",
       "498  2022.0  2.58  2.59  2.56   2.57   2.570000   8518500  \n",
       "499  2022.0  2.59  2.60  2.58   2.58   2.580000   6353800  \n",
       "500  2022.0  2.58  2.59  2.56   2.58   2.580000   9060100  \n",
       "501  2022.0  2.57  2.57  2.55   2.56   2.560000  15897600  \n",
       "502  2022.0  2.58  2.59  2.56   2.57   2.570000   9788500  \n",
       "\n",
       "[503 rows x 14 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\eliga\\AppData\\Local\\Temp/ipykernel_7636/1729152394.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",
      "  valid['Predictions'] = predictions\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train = result[:335]\n",
    "valid = result[335:]\n",
    "valid['Predictions'] = predictions\n",
    "# Visualize the data\n",
    "plt.figure(figsize=(16,6))\n",
    "plt.title('Model')\n",
    "plt.xlabel('Date', fontsize=18)\n",
    "plt.ylabel('Close Price USD ($)', fontsize=18)\n",
    "plt.plot(train['Close'])\n",
    "plt.plot(valid[['Close', 'Predictions']])\n",
    "plt.legend(['Train', 'Val', 'Predictions'], loc='lower left')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.9.7"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}