An LSTM module (or cell) has 5 essential components which allows it to model both long-term and short-term data. Hidden state (h t) – This is output state information calculated w.r.t. current input, previous hidden state and current cell input which you eventually use to predict the future stock market prices .
Read moreWhich algorithm is best for price prediction?
Support Vector Machines (SVM) and Artificial Neural Networks (ANN) are widely used for prediction of stock prices and its movements. Every algorithm has its way of learning patterns and then predicting.
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