Hidden Markov Model Regime Conditioning for Deep Learning Stock Forecasting
Stock forecasting remains difficult because financial time series data are known to be noisy, volatile, and affected by market regimes. As the number of retail investors increases, providing accessible forecasting tools to support their decisions under volatile market conditions becomes an increasingly relevant challen...