A Bitcoin Price Prediction Method Integrating Emotional Analysis and Informer-ARIMA Model
Compared to traditional financial products,the price of Bitcoin are more susceptible to emotional influence and has higher volatility,making price prediction has highly research value.To improve the accuracy of Bitcoin price prediction,this paper introduces emotional indicators into the prediction model and constructs a prediction method that integrates emotional analysis and Informer-ARIMA model.Analyze the random fluctuations,cyclic changes,and periodic changes of price time series from multiple dimensions,and make effective predictions on the Bitcoin price.The test results indicate that the Informer-ARIMA model,which integrates emotional analysis,performs better,verifying the feasibility and effectiveness of the proposed method.
Informer-ARIMA modelemotional analysislong time series forecastingBitcoin price prediction
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