Building an AI-powered crypto trading bot involves technical knowledge, but it’s achievable with the right resources. Here’s a guide: Define the Objective: Decide the purpose of your bot—day trading, long-term investing, or arbitrage. Select a Programming Language: Python is a popular choice due to its libraries like TensorFlow and Keras for AI. Integrate Data Sources: Use APIs from exchanges (e.g., Binance, Coinbase) to feed live market data. Develop a Strategy: Incorporate AI techniques like reinforcement learning for adaptive strategies or predictive models for forecasting price trends. Backtest the Bot: Test the bot’s performance on historical data to refine and optimize strategies. Deploy and Monitor: Deploy your bot on cloud platforms for 24/7 trading, and constantly monitor and update its algorithms for improved performance. Many platforms also offer frameworks (like Zenbot or 3Commas) to simplify bot development for beginners.