Information-Driven Resampling and Market Regime Detection: A Futures Trading Framework Based on GMM and Multi-Model Ensemble Learning
Fixed-interval candlestick sampling cannot adequately represent the non-uniform arrival of information in futures markets. This study develops an information-driven market-regime detection and trading framework. One-minute data are resampled along a hybrid information axis constructed from standardized trading-volume i...