memory-engine.md

What problem does it solve?

This Skill solves the problem of inconsistent trading behavior by preserving intraday and cross-session context so the model does not “reset” into a new, repeat-mistake mindset each cycle.

Core Features & Use Cases

• Persistent market memory: Stores previous decisions, active and invalidated setups, daily bias, and session context to maintain continuity over time.
• Anti-revenge and anti-duplication controls: Prevents chasing failed trades and avoids duplicate alerts by updating existing active setups and enforcing cooling periods after invalidations.
• Adaptive confidence and regime awareness: Tracks correlation exposure, failed logic patterns, high-confidence behaviors, and market regime shifts to adjust confidence and recommendations appropriately.

Quick Start

Use the memory engine to maintain a live, structured record of bias, setups, invalidations, and confidence across London/NY sessions for continuous, non-repetitive decision-making.