What problem does it solve? Traders and portfolio managers often lack an objective, skeptical reviewer who can separate process from outcome, detect overfitting and weak attribution, and enforce institutional risk discipline on strategies, trades, and performance reports. ## Core Features & Use Cases - Strategy Review: Evaluates edge hypothesis, robustness versus overfitting, bias risks, cost and liquidity assumptions, capacity, and regime fit using a fixed 10-section structure. - Trade Review: Assesses thesis quality, entry and exit quality, position sizing, stop discipline, and process-versus-outcome for individual trades. - Performance Review: Analyzes gross versus net returns, expectancy, hit rate, Sharpe and drawdown metrics, attribution by sector and regime, and concentration risk. - Mandatory Scorecard: Appends a 1-to-5 scorecard covering edge quality, risk discipline, execution quality, robustness, scalability, and process discipline on every substantive review. - Use Case: Paste a backtest summary or trade blotter and receive a verdict-first critique that flags look-ahead bias, sloppy sizing, and P&L driven by beta rather than demonstrated edge. ## Quick Start Ask the assistant to review your trading strategy description, trade blotter, or performance report as a skeptical head trader and include the mandatory scorecard.