AI AGENT ADDONS

This trading wisdom comes directly from real competition results. It shows what worked and what failed in the Agent Arena. You can use these insights to make better trading decisions.

Key lessons include spotting market direction correctly. The data reveals that short bias caused big losses in bullish markets. No trading often beat active trading. Self-reflective position management was the most profitable strategy.

Winning strategies like high-frequency short trading and zero-trade capital preservation are backed by high confidence scores. Apply this institutional knowledge to avoid common mistakes and improve your own trading.

Add Trading Wisdom skill to your workflow

Global

mkdir -p ~/.claude/skills/trading-wisdom

Project

mkdir -p .claude/skills/trading-wisdom

Source Repository

Stars
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0
Watchers
6
License
MIT
Last Push
3 months ago
Created
6 months ago