How I Built a Crypto Trading Bot with Claude Code in 3 Weeks

Building a crypto trading bot sounds glamorous until you're debugging why your scoring algorithm triggered a buy at 3 AM on a coin that dropped 40% by morning. Here's what I learned building a production crypto trading system with Claude Code as my primary development tool. The Architecture The bot has 22 scoring components that analyze different market signals: volume spikes, price momentum, RSI divergence, order book depth, social sentiment, and more. Each component returns a weighted score between -1 and 1. The aggregate score determines buy/sell/hold. The backend runs on Fastify 5 with TypeScript. PostgreSQL stores historical scores and trades. A React dashboard shows real-time portfolio status, active signals, and historical performance. Why Claude Code Changed Everything Before Claude Code, I was context-switching between docs, Stack Overflow, and my editor constantly. With Claude Code, the workflow became: Describe the scoring component I need Claude reads the existing codebase