Use Claude to Build an AI Trading Bot One Weekend
Turn $500 into $10K in 90 Days with Stocks, Options, and Prediction Markets
Build a working AI trading bot this weekend. Not theory. A real Python bot connected to live market data through Claude and Unusual Whales MCP, placing paper trades on Alpaca, validated with Monte Carlo backtesting before you risk a dollar.
You’ve seen the screenshots. $300 turned into $11,550. This book is different — you build a working AI trading bot this weekend, validate it with Monte Carlo backtesting, and follow a 90-day plan from paper trading to real money.
What You'll Build
The viral Twitter story and the March 2026 inflection point.
Python, Claude API, Unusual Whales MCP, Alpaca paper trading.
Real-time sentiment, flow, and volume correlation.
Watchlist scanner ranked by smart money signals.
Real-time Unusual Whales integration with Alpaca execution.
Monte Carlo simulations with 1,000 runs to prove statistical edge.
Polymarket and Kalshi bots with mispricing detection.
Four specialized AI traders as a personal hedge fund.
Position sizing, stop-losses, circuit breakers, Kelly Criterion.
90-day deployment plan: $500 to $10,000 with hard go/no-go criteria.
5 real failure modes: API downtime, overfitting, hallucinations.
Personal trading, client services, or signal subscriptions.
Free Articles from this Book
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How to Build a Polymarket Prediction Bot with Claude
Build a Claude-powered Python bot that scans active Polymarket contracts, estimates true probabilities, calculates expected value, and surfaces mispriced bets.
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Kelly Criterion Position Sizing for Trading Bots
Implement Kelly Criterion in Python for automated position sizing with three worked examples, quarter-Kelly adjustments, and a copy-paste risk manager class.
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Monte Carlo Backtesting for Trading Strategies
Build a Monte Carlo backtesting framework in Python that runs 1,000 simulations, produces a fan chart, and tells you if your strategy has a real edge.
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How to Build a Multi-Agent AI Trading System
Build a 4-agent trading system in Python where Claude instances specialize as analyst, risk manager, executor, and monitor with adversarial disagreement.
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