Trade Karne · kardi34 bundle Trade quality-control scorecard and postmortem analysis. Deterministic, zero-token, zero external dependencies. Computes a 3-axis weekly grade (Result 40%, Growth 30%, Process 30%) from equity curves and trade logs. Includes 16 risk-adjusted performance metrics (Sharpe, Sortino, Calmar, MAR, Ulcer Index, Profit Factor, Expectancy), idle-cash penalty detection, and 8-tag deterministic trade postmortems (thesis verification, regime violation, sizing errors, premature entries, perfect exits). Pure Python stdlib — works with any broker, any ledger format via pluggable data adapter. Use when: building a trading quality-control system, setting up anti-stall guardrails for a trading pod, implementing a weekly trader scorecard, running post-trade analysis, detecting "standing still" (idle cash accumulation) in a systematic trading operation, or replacing self-reported P&L with broker-verified fill reconciliation. DO NOT USE FOR: live order execution, broker integration, real-time risk management, or portfolio optimiz
