Additionally, this study validates the feasibility of incorporating environmental factors as input variables for stock price prediction, using the Shenzhen Component Index (SZI) and Hang Seng Index (HSI) as case studies, while also assessing the applicability of the GRA-WD-BiLSTM model. The ...
StormX Price Prediction 2024, STMX Price Forecast. Price target in 14 days: 0.006093 USD. The smartest Short- & Long-Term StormX price analysis for 2023, 2024, 2025, 2026, 2027, 2028 with daily USD to STMX prognosis: monthly and daily opening, closing, m
Compared with other methods, the CNN-BiLSTM-AM method is more suitable for the prediction of stock price and for providing a reliable way for investors' to make stock investment decisions. 展开 关键词:CNN BiLSTM AM Stock price prediction ...
基于BiLSTM-SA-TCN_时间序列模型在股票预测中的应用
Stock price prediction using the ARIMA model[C]//2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation. IEEE, 2014: 106-112. Google Scholar 3 Trafalis T B, Ince H. Support vector machine for regression and applications to financial forecasting[C]//Proceedings of ...
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction Stock market plays an important role in the economic development. Due to the complex volatility of the stock market, the research and prediction on the change of the stock price, can avoid the risk for the investors. The ...
plt.title('Aaple Stock Price Prediction') plt.xlabel('Time Steps') plt.ylabel('Aaple Stock Price') plt.legend() plt.show() 此代码使用 matplotlib 库创建一个图表,比较 Apple 随着时间的推移实际预测的股票价格。该图包括三个数据集:绿色为原始股票价格,红色为预测训练数据,蓝色为预测测试数据。该图表的...
Stock market has received widespread attention from investors. It has always been a hot spot for investors and investment companies to grasp the change regularity of the stock market and predict its trend. Currently, there are many methods for stock price prediction. The prediction methods can be...
The main contributions of this research are as follows: (1) As our best knowledge, this is the first research to propose the concept of applying TIs to the LSTM-attention time series model for stock price prediction. (2) This study introduces five well-known TIs, which reached a maximum ...
Prediction of Investor-Specific Trading Trends in South Korean Stock Markets Using a BiLSTM Prediction Model Based on Sentiment Analysis of Financial News ArticlesJae Jung HanHyunjung Kim