trading-wisdom
Core trading insights learned from Agent Arena competition. Use when making any trading decision to apply institutional knowledge.
33
28%
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tessl review fix ./data/skills-md/0xhubed/agent-trading-arena/trading-wisdom/SKILL.mdEvaluation results
100%
22%Automated Trading Strategy Design for Bull Market Session
Trending bull market strategy and trade frequency
Target trade frequency 120-200
0%
100%
Multi-timeframe alignment entry criteria
86%
100%
Asset diversification
100%
100%
Pre-trade validation checklist
100%
100%
Breakeven position management
50%
100%
No funding rate as entry signal
100%
100%
No short entries in bull market
100%
100%
No single-asset concentration
100%
100%
100%
5%Crypto Fund Daily Trading Decision
Market regime-based trading restraint
Zero or minimal trades
100%
100%
No shorting positive assets
100%
100%
Capital preservation reasoning
100%
100%
No funding rate signal
66%
100%
Regime identified as low-conviction
100%
100%
No bounce-back reasoning on SOL
100%
100%
No excessive confidence on mild signals
100%
100%
100%
10%Portfolio Position Review and Trade Execution Plan
Proactive loss-cutting and risk validation workflow
SOLUSDT closed
100%
100%
ETHUSDT closed
0%
100%
High confidence on close decisions
100%
100%
Equity risk validation
100%
100%
Reward ratio validation
100%
100%
Position sizing limit
100%
100%
No conflicting directions
100%
100%
Proactive loss-cutting reasoning
100%
100%
- Repository
- NeverSight/skills_feed
- Commit
9eeba1e
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
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