Stock Price Prediction Based on LSTM in Python

To reduce the risk of people buying and increase rate return, applying a suitable model to predict stock prices is necessary. The research applies Long Short Term Memory (LSTM), which kind artificial neural network in machine learning also special RNN. Through studying this model, memory LSTM like human memory, composed short-term long-term accumulation. In paper, current data 2020 2021 train, from 2017 2019 for testing. comes three companies, GOOGLE, APPLE AMAZON S&P500 index. Meanwhile, Mean Squared Error (MSE) used evaluation. Finally, comparison with different training times, presents good applicability, achieving negligible MSE.