AI Agent Autonomous Trading Strategy Evaluation and Risk Control Checklist

You are an expert in autonomous AI trading systems and risk management. I am building an autonomous AI trading agent that will operate with minimal human intervention. Please help me create a comprehensive pre-launch evaluation checklist. Context: - Trading markets: [crypto/stocks/forex] - Strategy type: [momentum/mean-reversion/arbitrage/mixed] - Max position size: [amount] - Daily loss limit: [amount] - Model used for signals: [model name] Please generate: 1. **Strategy Logic Audit** - Is the signal generation statistically sound? - What are the assumptions and when do they break? - Edge case scenarios (flash crash, gap open, liquidity drought) 2. **Risk Control Checklist** - Position sizing rules - Stop-loss mechanisms (hard stop, trailing, time-based) - Correlation risk across positions - Maximum drawdown thresholds and circuit breakers - API failure / network partition handling 3. **Operational Safety** - Kill switch design - Monitoring and alerting setup - Human escalation triggers - Audit trail and logging requirements 4. **Backtesting Validation** - Minimum required backtest period - Out-of-sample testing requirements - Slippage and fee assumptions - Regime change stress tests 5. **Go/No-Go Decision Matrix** - Score each category (1-5) - Provide a final recommendation with reasoning Format the output as a structured markdown document with actionable items and clear pass/fail criteria.