Stock Market Prediction Using LSTM

AI and machine learning, powered by data and computational prowess, present a promising path for stock price prediction in the quickly changing financial scene. Accurate models that comprehend the complicated, nonlinear dynamics of the stock market are required due to its increasing complexity and volatility. The Stock Market Prediction App, powered by LSTM neural networks, is now available. Our goal is to accurately anticipate the NSE Stock's closing price the following day using a combination of nine carefully chosen predictors from market fundamentals, macroeconomics, and technical indicators. Both single-layer and multilayer LSTM models attentively adapted to input variables, are included in our method. A thorough analysis that considers measures like RMSE, MAPE, and correlation coefficient highlights the single-layer LSTM as the best performance. This study emphasizes the mutually beneficial interaction between finance and cutting-edge machine learning, highlighting the revolutionary impact of LSTM in understanding the intricacies of the stock market. Our main objective is to give traders, investors, and financial fans the tools they need to safely negotiate the complex landscape of the modern stock market. By bridging the gap between sound monetary judgement and cutting-edge technology, our stock market prediction app helps users make well-informed decisions.