A Novel Multivariate Bi-LSTM Model for Short-Term Equity Price Forecasting
Published in 2024 5th IEEE Global Conference for Advancement in Technology (GCAT), 2024
Abstract: Prediction models are crucial in the stock market as they aid in forecasting future prices and trends. This paper presents a Bidirectional Multivariate LSTM model designed to predict short-term stock prices of Indian companies in the NIFTY 100. The proposed model, when applied to a dataset containing technical indicators like EMA and Bollinger Bands, achieved an exceptionally high average R2 score of 99.4779%.
Bi-LSTM Unit Structure: 
Recommended citation: O. Oak, R. Nazre, R. Budke, Y. Mahatekar. (2024). "A Novel Multivariate Bi-LSTM Model for Short-Term Equity Price Forecasting." IEEE GCAT 2024.
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