Data Analysis on the Computer Intelligent Stock Prediction Model Based on LSTM RNN and Algorithm Optimization

The stock market has always been the focus of public attention, and its high-risk, high-profit nature has attracted many people who want to speculate for profit. However, the stock market is unpredictable, and there are many factors that influence the stock market, so it is difficult for stockholders to predict the future price increase or decrease accurately. Previously, there are some methods such as ANN and SVM-based algorithms to predict stock prices, but the accuracy is not guaranteed. This article introduces the LSTM RNN based stock price prediction model, which can make relatively accurate prediction of stock price after accuracy check, so that stock speculators can have a macro concept of stock market direction and can buy or sell in time to achieve the goal of maximizing profit.