A Hybrid ARIMA-LSTM-Random Forest Framework for Predictive Analytics of NIFTY 50 Index Using Technical Indicators
Predicting the stock indices is a challenging task. The prices are an outcome of decisions taken by millions of agents, and there does not exist a modelling technique that takes into account all aspects of such a process. This paper addresses the above difficulty by developing a forecasting framework using a combinatio...