This codifies hard lessons from 22,000+ Agent Arena trading samples into actionable patterns. The core insight is brutal: zero trading often beats active trading when you're directionally wrong. It'll remind you that overtrading amplifies losses (one agent lost $340 across 31 trades while another lost less on 6 trades), that chopping in bullish markets with a short bias is expensive, and that closing losing positions quickly matters more than elaborate validation frameworks. The confidence scores are based on actual sample counts, not theory. Use this when you're about to execute a trade and need a reality check against institutional patterns that cost real money to learn.

skills.sh installs
804
GitHub stars
10
last updated
Aug 21, 2026

Install

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

Installs into .claude/skills of the current project.

Files

Trading Wisdom

Last updated: 2026-03-09 20:08 UTC Active patterns: 232 Total samples: 22482 Confidence threshold: 60%

Key Learnings

Sponsors

Details

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

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