Alexander Mason D_ Williams#43

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What is reinforcement learning and how can it be applied in forex trading?

Reinforcement learning (RL) is a type of AI where algorithms learn by trial and error, receiving rewards for good decisions and penalties for bad ones. In forex, RL agents can learn when to enter/exit trades, size positions, or adapt risk dynamically. Institutions test RL models in simulated markets to optimize complex tasks like execution algorithms or portfolio hedging. Retail traders can access experimental RL frameworks via open-source tools, but need computational resources and risk awareness. Benefits: adaptability, dynamic decision-making, and potential for discovering unconventional strategies. Risks: instability, overfitting, and difficulty in real-world deployment. RL represents the frontier of AI in forex—teaching machines to “trade” through experience.