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AI Trading Bot Playbooks
Stocks, options, crypto. 7 working strategies with walk-forward backtests across five regimes. Slippage, commissions, and Claude inference cost in the realism layer.
2 playbooks · 10 free guides
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Claude Trading Bot Hallucination: 8-Point Backtest Check
Catch Claude trading bot hallucination before live capital. Walk-forward backtest, 68% win-rate paradox, 8-point checklist, separate-session reproduction.
from: Use Claude to Build 7 AI Trading Bots
Cointegration Pairs Trading Python: Z-Score and Hedge Ratio
Cointegration pairs trading in Python with statsmodels: Engle-Granger test, Z-score entries at ±2.0, hedge-ratio sizing, 20-day time-stop, VIX regime filter.
from: Use Claude to Build 7 AI Trading Bots
Crypto Funding Rate Arbitrage Bot: BTC Cash and Carry
Build a crypto funding rate arbitrage bot in Python. Long spot, short perp, collect funding every 8 hours when the rate exceeds 0.025%. Delta-neutral basis.
from: Use Claude to Build 7 AI Trading Bots
Multi Strategy Trading Bot Python: Risk Parity Allocator
Multi strategy trading bot Python build: risk-parity capital sizing, 90-day correlation drop rule, drawdown circuit breaker, and intent netting at the broker.
from: Use Claude to Build 7 AI Trading Bots
Options Flow Trading Bot in Python: The 4 Greek Gates
Build an options flow trading bot in Python with four Greek gates: delta budget, gamma cap, IV-crush filter, theta sweep. Stop the bleed before it starts.
from: Use Claude to Build 7 AI Trading Bots
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.
from: Use Claude to Build an AI Trading Bot One Weekend
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.
from: Use Claude to Build an AI Trading Bot One Weekend
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.
from: Use Claude to Build an AI Trading Bot One Weekend
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.
from: Use Claude to Build an AI Trading Bot One Weekend
