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Guides on reinforcement learning trading and AI trading.
AI trading vs algorithmic trading
What changes (and what doesn’t) when you use ML/RL to trade.
Trading with AI
What “AI trading” usually means, what works in practice, and where RL fits.
Reinforcement learning for trading
A practical overview: how RL agents learn, why trading fits, and common pitfalls.
Reward design for RL trading
How to avoid reward hacking and align rewards with risk and constraints.
How to evaluate RL trading strategies
Leakage, overfitting, walk-forward testing, and what to track to avoid false confidence.
Research to production for RL trading systems
A pragmatic path from experiments to live deployment with monitoring and controls.