CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets

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Extracting Stock Predictive Information in Mutual Fund Managers’ Portfolio Decisions Through Machine Learning with Hypergraph

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Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements

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STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets using Residual Blocks or Transformers

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Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements

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Stacked Cnn-Lstm with Residual for Financial Time Series PredictionPreprint

Fu, W., Wu, W., & Wang, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4367410

Two-stage attentional temporal convolution and LSTM model for financial data forecasting

Chen, L., Li, X., & Xie, Z. (2023) · International Conference on Electronic Information Engineering and Data Processing (EIEDP) · doi:10.1117/12.2682556 · Cited by 5 · see citing works