An integrated approach of ensemble learning methods for stock index prediction using investor sentiments
Published in Expert Systems with Applications, 2024
Publications
You can also find more about my Publications on my Google Scholar profile.
Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization
Published in Expert Systems with Applications, 2024
Interpretable Machine Learning Model for Default Risk Identification of Corporate Bonds
Published in Computer Engineering and Applications, 2024
High-Frequency Direction Forecasting and Simulation Trading of the Crude Oil Futures using Ichimoku KinkoHyo and Fuzzy Rough Set
Published in Expert Systems with Applications, 2023
High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion
Published in Expert Systems with Applications, 2023
Stock index direction forecasting using an explainable eXtreme Gradient Boosting and investor sentiments
Published in The North American Journal of Economics and Finance, 2023
Financial Futures Prediction Using Fuzzy Rough Set and Synthetic Minority Oversampling Technique
Published in Advances in Mathematical Physics, 2022
Can Japanese Candlestick Patterns be Profitable on the Component Stocks of the SSE50 Index?
Published in SAGE Open, 2022
Dynamic forecasting of the Shanghai Stock Exchange index movement using multiple types of investor sentiment
Published in Applied Soft Computing, 2022
Stock Price Crash Warning in the Chinese Security Market Using a Machine Learning-Based Method and Financial Indicators
Published in Systems, 2022
High-Frequency Direction Forecasting of the Futures Market Using a Machine-Learning-Based Method
Published in Future Internet, 2022