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  • He H, Gao S, Jin T, et al. A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction[J]. Applied Soft Computing, 2021, 108: 107488. Link
  • Yang Z, Keung J, Kabir M A, et al. AComNN: Attention enhanced Compound Neural Network For financial time-series forecasting with cross-regional features[J]. Applied Soft Computing, 2021: 107649. Link
  • Chen Y C, Huang W C. Constructing a stock-price forecast CNN model with gold and crude oil indicators[J]. Applied Soft Computing, 2021, 112: 107760. Link Code
  • Hung H C, Chuang Y J, Wu M C. Customizable and committee data mining framework for stock trading[J]. Applied Soft Computing, 2021: 107277. Link
  • Gu Q, Chang Y, Xiong N, et al. Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees[J]. Applied Soft Computing, 2021, 109: 107472. Link
  • Moghaddam A H, Momtazi S. Image processing meets time series analysis: Predicting Forex profitable technical pattern positions[J]. Applied Soft Computing, 2021: 107460. Link
  • Chen Y F, Huang S H. Sentiment-influenced trading system based on multimodal deep reinforcement learning[J]. Applied Soft Computing, 2021: 107788. Link
  • Wang J, He J, Feng C, et al. Stock index prediction and uncertainty analysis using multi-scale nonlinear ensemble paradigm of optimal feature extraction, two-stage deep learning and Gaussian process regression[J]. Applied Soft Computing, 2021: 107898. Link
  • Park H J, Kim Y, Kim H Y. Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework[J]. Applied Soft Computing, 2021: 108106. Link Code
  • Shi Y, Li W, Zhu L, et al. Stock trading rule discovery with double deep Q-network[J]. Applied Soft Computing, 2021: 107320. Link