30Aniket / Time_Series_Forecasting-Predicting_Stock_Price_using_an_LSTM_model

Predict TESLA stock prices using a forecasting LSTM model.

Time_Series_Forecasting-Predicting_Stock_Price_using_an_LSTM_model

Aim of this project was to build a multi-layer LSTM (Long Short-Term Memory) recurrent neural network to predict the last value of a sequence of values, i.e., the TESLA stock price.

Modules needed: Keras, Tensorflow, Pandas, Scikit-Learn, Seaborn, Matplotlib, Numpy and Math.

This repository contains the following files:

1. Code
   • Time Series Forecasting - Predicting TESLA Stock Prices using an LSTM model.ipynb
2. Dataset
   • TESLA.csv
     (This file contains TESLA stock price data from 30/06/2011 to 30/06/2021.)
3. README

Thanks to Yahoo finance, I got the data for free. Use the following link to get the stock price history of TESLA: https://finance.yahoo.com/quote/TSLA/history?period1=1436486400&period2=1594339200&interval=1d&filter=history&frequency=1d