Stock Price Prediction Based on Integrated Deep Learning
The stock market is an important component of the national economy,and stock investment is a high-risk but high-return investment method.To provide guidance for stock investors,a research is conducted to predict future stock prices.This paper designs an integrated prediction algorithm based on Deep Learning for predicting the stock price over the next 5 days.The research results show that the MAE of the weight allocation integrated method based on prediction performance reduces compared to the basic model and gives the best results on MAE index.
Deep Learningstock price predictionintegrated learning
国家科技期刊平台
NSTL
万方数据
