Combining technical analysis with sentiment analysis for stock price prediction S Deng, T Mitsubuchi, K Shioda, T Shimada, A Sakurai 2011 IEEE ninth international conference on dependable, autonomic and secure …, 2011 | 126 | 2011 |
Hybrid method of multiple kernel learning and genetic algorithm for forecasting short-term foreign exchange rates S Deng, K Yoshiyama, T Mitsubuchi, A Sakurai Computational Economics 45, 49-89, 2015 | 76 | 2015 |
A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market S Deng, C Wang, M Wang, Z Sun Applied Soft Computing 83, 105652, 2019 | 66 | 2019 |
A hybrid method for crude oil price direction forecasting using multiple timeframes dynamic time wrapping and genetic algorithm S Deng, Y Xiang, Z Fu, M Wang, Y Wang Applied Soft Computing 82, 105566, 2019 | 22 | 2019 |
Foreign exchange trading rules using a single technical indicator from multiple timeframes S Deng, A Sakurai 2013 27th International Conference on Advanced Information Networking and …, 2013 | 21 | 2013 |
The profitability of Ichimoku Kinkohyo based trading rules in stock markets and FX markets S Deng, H Yu, C Wei, T Yang, S Tatsuro International Journal of Finance & Economics 26 (4), 5321-5336, 2021 | 19 | 2021 |
A decision support system for trading in apple futures market using predictions fusion S Deng, X Huang, J Wang, Z Qin, Z Fu, A Wang, T Yang IEEE Access 9, 1271-1285, 2020 | 19 | 2020 |
Stock price change rate prediction by utilizing social network activities S Deng, T Mitsubuchi, A Sakurai The Scientific World Journal 2014 (1), 861641, 2014 | 18 | 2014 |
Robustness test of genetic algorithm on generating rules for currency trading D Shangkun, S Yizhou, S Akito Procedia Computer Science 13, 86-98, 2012 | 18 | 2012 |
An integrated approach of ensemble learning methods for stock index prediction using investor sentiments S Deng, Y Zhu, Y Yu, X Huang Expert Systems with Applications 238, 121710, 2024 | 17 | 2024 |
An intelligent system for insider trading identification in Chinese security market S Deng, C Wang, Z Fu, M Wang Computational Economics 57, 593-616, 2021 | 17 | 2021 |
High-frequency direction forecasting and simulation trading of the crude oil futures using Ichimoku KinkoHyo and Fuzzy Rough Set S Deng, C Xiao, Y Zhu, J Peng, J Li, Z Liu Expert Systems with Applications 215, 119326, 2023 | 15 | 2023 |
Stock index direction forecasting using an explainable eXtreme Gradient Boosting and investor sentiments S Deng, X Huang, Y Zhu, Z Su, Z Fu, T Shimada The North American Journal of Economics and Finance 64, 101848, 2023 | 15 | 2023 |
A hybrid model of dynamic time wrapping and hidden Markov model for forecasting and trading in crude oil market S Deng, Y Xiang, B Nan, H Tian, Z Sun Soft Computing 24, 6655-6672, 2020 | 15 | 2020 |
Identification of insider trading using extreme gradient boosting and multi-objective optimization S Deng, C Wang, J Li, H Yu, H Tian, Y Zhang, Y Cui, F Ma, T Yang Information 10 (12), 367, 2019 | 15 | 2019 |
Crude oil spot price forecasting based on multiple crude oil markets and timeframes S Deng, A Sakurai Energies 7 (5), 2761-2779, 2014 | 14 | 2014 |
Multiple kernel learning on time series data and social networks for stock price prediction S Deng, T Mitsubuchi, K Shioda, T Shimada, A Sakurai 2011 10th international conference on machine learning and applications and …, 2011 | 14 | 2011 |
Prediction of foreign exchange market states with support vector machine K Shioda, S Deng, A Sakurai 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 14 | 2011 |
High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion S Deng, Y Zhu, S Duan, Y Yu, Z Fu, J Liu, X Yang, Z Liu Expert Systems with Applications 217, 119580, 2023 | 13 | 2023 |
Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization S Deng, J Su, Y Zhu, Y Yu, C Xiao Expert Systems with Applications 242, 122502, 2024 | 12 | 2024 |