TradeMemory Protocol
Skill Verified ActiveDomain knowledge for the Evolution Engine — LLM-powered autonomous strategy discovery from raw OHLCV data. Covers the generate-backtest-select-evolve loop, vectorized backtesting, out-of-sample validation, and strategy graduation. Use when discovering trading patterns, running backtests, evolving strategies, or reviewing evolution logs. Triggers on "evolve", "discover patterns", "backtest", "evolution", "strategy generation", "candidate strategy".
To equip AI trading agents with persistent memory and an audit trail, enhancing decision-making, compliance, and risk management.
Features
- Trade recall with outcome-weighted scoring
- SHA-256 tamper-proof audit trail for all decisions
- Behavioral analysis and risk detection (drawdown, streaks)
- Multi-factor pre-trade legitimacy checks
- Support for any market, broker, or AI platform
Use Cases
- Before trading: recall past similar conditions and outcomes
- After trading: record trade details and outcomes automatically
- Compliance: provide tamper-proof audit trails for regulators
- Risk management: detect losing streaks and trigger stop-loss conditions
Non-Goals
- Executing trades or accessing user funds
- Directly optimizing trading strategy parameters
- Replacing the core AI agent's decision-making logic
- Performing real-time market analysis or charting
Practices
- Memory Management
- Audit Trail Generation
- Risk Management
- AI Compliance
Prerequisites
- Python 3.8+
- ANTHROPIC_API_KEY (for integrated LLM functionalities)
- Claude Code or Claude Desktop environment for integration
Installation
/plugin install tradememory-plugin@mnemox-ai-tradememory-protocolQuality Score
VerifiedTrust Signals
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