Stock Price Prediction Using Long Short Term Memory

Stock market price prediction is difficult and complex task. Prediction in stock very unstable Process. Price are most of the time tend to follow patterns those more or less regular curve. Machine Learning techniques use different predictive models algorithms predict automate things reduce human effort. This research paper focuses on Long Short Term Memory (LSTM) future company using each day closing analysis. LSTM helpful sequential data models. In this algorithm has been used train forecast prices.