In this video, we build a reinforcement learning trading bot in Python and train an AI agent on historical EUR/USD Forex data using an hourly timeframe. You’ll see how a model-free reinforcement learning approach allows an AI trading agent to: - Read historical price data - Take long and short trading decisions - Learn from winning and losing trades - Improve its trading policy through rewards We cover the core reinforcement learning concepts applied to trading: Agent, Environment, Actions, Rewards, and Policy. This is a realistic example of how AI learns trading strategies through trial and error, very similar to how a human trader improves with experience. ⚠️ This video is educational and focuses on algorithmic trading, AI, and reinforcement learning, not financial advice. ○○○ Free Python Script Included, download it below and customize it for your own assets! ╔═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦══╦═╦═╦══╦═╦═╦══╦═╦═╦ 🔗 Resources & Links: -------------------------------------- • 📚 My Algorithmic Trading Courses → • 📘 My Book: “Algorithmic Trading with Python” → • 💻 Free Python Code (GitHub) → Happy learning, happy coding ☕ ╚═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩ This educational video focuses on the following topics: reinforcement learning trading, AI trading bot, Forex AI, Python trading bot, reinforcement learning Python, algorithmic trading AI, EURUSD trading strategy, machine learning trading.