Stock Market Prediction using Deep Learning(LSTM)

Dependencies:

• numpy
• beautifulsoup4
• requests
• pandas
• tensorflow
• keras
• sklearn

Overview

Predicting NIFTY50 index movement for 7 days period. LSTM layers are used in keras to predict NIFTY50 index movement for 7 days period.

Project is divided into three parts:

STEP 1

• Scraped Wiki's NIFTY50 page to get ticker symbols
  
• Used Quandl API to fetch stock data for past 5 years

STEP 2

• Label training data as 0(sell) and 1(buy)
  
• Scale data using sklearn preprocessing libarary

STEP 3

• Build LSTM model in keras.

Usage:

Run the ipynb file on colab or jupyter notebook.

Acknowledgements:

• sentdex tutorial -> https://www.youtube.com/watch?time_continue=535&v=yWkpRdpOiPY
• Siraj Raval tutorial -> https://www.youtube.com/watch?v=ftMq5ps503w&vl=en