LSTM based decision support system for swing trading in stock market

Shouvik Banik, Nonita Sharma, Monika Mangla, Sachi Nandan Mohanty, Shitharth Selvarajan

Abstract: Highlights•The study focuses on swing trading forecasting problem.•A Decision Support System for swing trading to accurately analyze and forecast future stock prices using LSTM model.•An Analysis Report containing the predicted values of stock for 30 days and other technical indicators of the company.•A novel Investment Success Score evaluated by DSS to help the swing traders in short term as well as long term.•Root Mean Square Error and Mean Absolute Error values for NIFTY index values are 4.13 and 3.24 respectively.