Stock trend prediction and analysis using LSTM neural network and dual moving average crossover algorithm

In today’s world where data is the new currency, computer machines are capable enough to find and predict the future by using the previous data and the algorithms which are becoming more precise day by day. The proposed solution by us includes the pre-processing of the 10 years of Bombay Stock Exchange (BSE) stock market data of HDFC Bank. Our solution implemented the engineering techniques of deep learning and machine learning which are combined with the LSTM neural network algorithm and Dual Moving Average Crossover algorithm.

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