Uncertainty-Aware Forecast-Conditioned Reinforcement Learning for Multi-Asset Algorithmic Trading
Financial markets are challenging to navigate due to changing regimes, high volatility, and unpredictable investor behavior, often leading to model misspecification in classical stationary frameworks like Moving Average (MA) and Autoregressive (AR) models. To address this, we propose an uncertainty-aware framework that...