Risk Management
Skill Verified ActiveRisk management domain knowledge for trading agents — affective state monitoring, position sizing, drawdown management, tilt detection, and behavioral guardrails. Use when checking risk before trades, managing drawdowns, detecting behavioral drift, or enforcing discipline. Triggers on "risk", "drawdown", "tilt", "position size", "lot size", "confidence", "revenge trading", "overtrading", "discipline".
To equip trading agents with memory and behavioral guardrails for disciplined, rational decision-making, enhancing risk management beyond traditional mathematical approaches.
Features
- Affective state monitoring (confidence, drawdown, streaks)
- Behavioral risk detection (disposition effect, revenge trading, overtrading)
- Position sizing rules and variance tracking
- Pre-session and post-trade workflow guidance
- SHA-256 tamper-proof audit trail for trading decisions
Use Cases
- Checking risk before executing trades
- Managing and alerting on drawdowns
- Detecting and correcting behavioral drift
- Enforcing trading discipline and consistency
Non-Goals
- Executing trades or touching user funds
- Providing financial advice
- Replacing core trading strategy logic
- Connecting directly to brokerage APIs without agent mediation
Practices
- Behavioral Risk Management
- Trading Discipline
- Affective State Monitoring
- Auditable Decision Making
Prerequisites
- Claude Code or compatible agent environment
- Python 3.8+ (for pip installation)
- uvx tool (for MCP server execution)
Installation
/plugin install tradememory-plugin@mnemox-ai-tradememory-protocolQuality Score
VerifiedTrust Signals
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