Dynamic Stop Loss Strategy with Deep Reinforcement Learning
Anders, M. et al. · 2024
What this means for traders
AI-driven stop-losses that adapt to volatility outperform fixed percentage rules in both profit and drawdown control.
Abstract
Shows that RL agents can learn optimal dynamic stop-loss policies that adapt to market volatility, significantly improving PnL and reducing maximum drawdown compared to static rules.
