Shangkun Deng

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Hybrid Method of Multiple Kernel Learning and Genetic Algorithm for Forecasting Short-Term Foreign Exchange Rates

Shangkun Deng, Akito Sakurai, Kazuki Yoshiyama, 2015 .

Combining Multiple Kernel Learning and Genetic Algorithm for forecasting short time foreign exchange rate

Shangkun Deng, Akito Sakurai, A. Sakurai, 2011 .

Crude Oil Spot Price Forecasting Based on Multiple Crude Oil Markets and Timeframes

A. Sakurai, Shangkun Deng, 2014 .

High-Frequency Direction Forecasting of the Futures Market Using a Machine-Learning-Based Method

Shangkun Deng, Yingke Zhu, Xiaoru Huang, 2022, Future Internet.

Can Japanese Candlestick Patterns be Profitable on the Component Stocks of the SSE50 Index?

Shangkun Deng, Zhihao Su, Yanmei Ren, 2022, SAGE Open.

Hybrid Method of Multiple Kernel Learning and Genetic Algorithm for Forecasting Short-Term Foreign Exchange Rates

A. Sakurai, Shangkun Deng, K. Yoshiyama, 2013, Computational Economics.

A hybrid model of dynamic time wrapping and hidden Markov model for forecasting and trading in crude oil market

Shangkun Deng, Hongyu Tian, Youtao Xiang, 2019, Soft Computing.

High-frequency direction forecasting and simulation trading of the crude oil futures using Ichimoku KinkoHyo and Fuzzy Rough Set

Jie-Xun Li, Shangkun Deng, Yingke Zhu, 2022, Expert Syst. Appl..

Stock Index Direction Forecasting using an Explainable eXtreme Gradient Boosting and Investor Sentiments

Shangkun Deng, Xiaoru Huang, Zhe Fu, 2022, The North American Journal of Economics and Finance.

Identification of Insider Trading Using Extreme Gradient Boosting and Multi-Objective Optimization

Jie Li, Haoran Yu, Shangkun Deng, 2019, Inf..

Prediction and Trading in Crude Oil Markets Using Multi-Class Classification and Multi-Objective Optimization

Fangjie Ma, Tianxiang Yang, Chenguang Wang, 2019, IEEE Access.

A hybrid model of dynamic time wrapping and hidden Markov model for forecasting and trading in crude oil market

Shangkun Deng, Hongyu Tian, Zhe Sun, 2019, Soft Computing.

Financial Time Series Prediction with Information Fusion(本文)

Shangkun Deng, Shangkun Deng, 2014 .

Robustness Test of Genetic Algorithm on Generating Rules for Currency Trading

Shangkun DENG, Yizhou SUN, Akito SAKURAI, 2012, INNS-WC.

Stock Price Change Rate Prediction by Utilizing Social Network Activities

Shangkun Deng, Akito Sakurai, Takashi Mitsubuchi, 2014, TheScientificWorldJournal.

Combining Technical Analysis with Sentiment Analysis for Stock Price Prediction

Shangkun Deng, Akito Sakurai, Kei Shioda, 2011, 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing.

Data augmentation for Convolutional LSTM based brain computer interface system

A. Cichocki, Qibin Zhao, A. Phan, 2022, Appl. Soft Comput..

An Intelligent System for Insider Trading Identification in Chinese Security Market

Shangkun Deng, Zhe Fu, Chenguang Wang, 2020 .

An Intelligent System for Insider Trading Identification in Chinese Security Market

Shangkun Deng, Zhe Fu, Chenguang Wang, 2020, Computational Economics.

A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market

Shangkun Deng, Mingyue Wang, Chenguang Wang, 2019, Appl. Soft Comput..

High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion

Shangkun Deng, Xiaoxue Yang, Shuangyang Duan, 2023, Expert Syst. Appl..

The profitability of Ichimoku Kinkohyo based trading rules in stock markets and FX markets

Shangkun Deng, Tianxiang Yang, Haoran Yu, 2020 .

Short-term foreign exchange rate trading based on the support/resistance level of Ichimoku Kinkohyo

Shangkun Deng, Akito Sakurai, A. Sakurai, 2014, 2014 International Conference on Information Science, Electronics and Electrical Engineering.

A Study on the Relationship between Human Resource Management Practices and Employees Emotional Response — The Moderating Effect of Multiple Employment

Shangkun Deng, Biaobin Yan, Xueying Chen, 2018 .

A novel hybrid method for direction forecasting and trading of Apple Futures

Shangkun Deng, Tianxiang Yang, Zhe Fu, 2021, Appl. Soft Comput..

A Decision Support System for Trading in Apple Futures Market Using Predictions Fusion

Tianxiang Yang, Zhe Fu, Shangkun Deng, 2021, IEEE Access.

An integrated approach of ensemble learning methods for stock index prediction using investor sentiments

Xiao Huang, Shangkun Deng, Yingke Zhu, 2023, Expert Syst. Appl..

A hybrid method for crude oil price direction forecasting using multiple timeframes dynamic time wrapping and genetic algorithm

Yueren Wang, Shangkun Deng, Zhe Fu, 2019, Appl. Soft Comput..

Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization

Shangkun Deng, Yingke Zhu, Chongyi Xiao, 2023, Expert Systems with Applications.

Integrated Model of Multiple Kernel Learning and Differential Evolution for EUR/USD Trading

Shangkun Deng, Akito Sakurai, A. Sakurai, 2014, TheScientificWorldJournal.