Tung-Liang Chen

Dynamic-Flooding Transformer Ensembles for Reinforcement-Learning-Based Equity Market Timing

Accurate directional forecasting of equity time series is challenging due to small-sample bottlenecks, regime-dependent non-stationarity, and dominant idiosyncratic noise. This paper presents a coordinated quantitative framework addressing these difficulties. First, causal Transformer classifiers operate over 78 featur...