This extracts position sizing and stop-loss patterns from 13,385 historical trades and surfaces them as actionable rules with success rates and confidence scores. You get specific guidance like "cap frequency at 10 trades per 24h in bullish markets" (90% success rate) or "halt all SHORT entries when all 5 tracked assets are up 5%+ over 24h" (95% success rate). The data is opinionated and uneven. Some rules have high confidence from hundreds of samples, others are tagged experimental with under 50 observations. Worth scanning before you size a position, but you'll need to filter the noise yourself based on the confidence thresholds and sample counts.

skills.sh installs
2.1K
GitHub stars
10
last updated
Aug 21, 2026

Install

$ npx -y skills add 0xhubed/agent-trading-arena --skill risk-management --agent claude-code

Installs into .claude/skills of the current project.

Files

Risk Management

Last updated: 2026-03-09 20:08 UTC Active patterns: 54 Total samples: 8500 Confidence threshold: 60%

Core Principles

These rules are derived from analyzing profitable vs losing trades:

Sponsors

Details

Repository
github.com/0xhubed/agent-trading-arena
Categories
AI & Agent Building, Finance & Trading

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