Stock forecast model based on random forest
School of Business and Management, Shanghai International Studies University, Shanghai, China
ABSTRACT: With the rapid development of artificial intelligence, more and more people combine it with stock prediction. Stock analysis is divided into technical analysis and fundamental analysis. This paper forecasts the rise and fall of stocks through technical indicators and machine-learning algorithms. And eight technical indicators (EMA, MACD, LINREG, MOMENTUM, RSI, VAR, CYCLE, and ATR) were adopted to predict the rise and fall of a stock. We find that RSI has the largest weight among the eight technical indicators, and the final model prediction accuracy is 75%. ...
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