Research on Stock Price Fluctuation Monitoring System Based on Investor Sentiment

Based on the behavioral finance theories such as investor bounded rationality and cognitive bias, this paper uses Python web crawler technology to obtain the stock related information in the stock online forum, and uses SnowNLP to conduct emotional analysis. Then, according to the obtained information, the paper constructs the investor sentiment index and the test model of investor sentiment and stock price volatility, and draws the conclusion through empirical analysis. Then according to the research results, this paper designs a stock price fluctuation monitoring system based on investor sentiment, which can forecast the fluctuation of stock price by monitoring the information of stock network forum, so as to remind investors to guard against risks and invest rationally.