Build a market-neutral crypto trading bot that wins 96% of its trades-and learn the real math behind automated trading along the way. Most crypto trading bots lose money. Not because they're badly coded, but because of one thing most tutorials never mention: fees. This book shows you the one strategy that actually works-funding rate arbitrage-and the exact Python code to build it. Over 10.5 days, my bot executed 29 trades. It won 25 and lost 1. That's a 96% win rate. It collected $604.47 in funding** and paid only **$13.72 in fees. This book gives you the complete blueprint. What you'll learn inside: How funding rate arbitrage works-the market-neutral strategy that profits whether Bitcoin goes up, down, or sideways.The exact Python code-full source code for the bot, including the data engine, strategy logic, execution engine, and state persistence system.How to use CCXT and FastAPI-integrate with exchanges like Binance and MEXC, and build a live monitoring dashboard with WebSockets.The 12 strategies that failed-and why. Momentum, EMA, RSI, Bollinger, MACD, and more-tested on 2.3 years of real data with realistic fees.The real math of retail trading-the minimum capital needed, the fee-to-funding ratio, and why most trading bots are mathematically guaranteed to lose.How to turn these skills into income-the path from bot builder to paid developer, with real insights from freelancing on Upwork. Who this book is for: Python developers who want to build real trading systems, not toy examples. Retail traders who are tired of losing money to fees and want to understand why. Anyone curious about AI trading bots-and whether they actually work. What this book is not: It's not a get-rich-quick guide. It's not financial advice. It's not a promise that you'll make millions. It's an honest, code-heavy, beginner-friendly guide to building a real automated trading system-with real results, real failures, and real lessons. Includes the complete source code for: funding_bot.py - the main bot with state persistence funding_strategy.py-the core arbitrage logic funding_data.py-exchange API connector using CCXT config_funding.py - configuration for 15 assets Plus a glossary of trading terms, an FAQ section, and the full data from the 12 strategies tested. Scroll up and click "Buy Now" to start building your own market-neutral trading bot today.
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