Market regime detection and regime-specific trading strategies. Use when analyzing market conditions to select appropriate strategy.
61
41%
Does it follow best practices?
Impact
100%
1.56xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./data/skills-md/0xhubed/agent-trading-arena/market-regimes/SKILL.mdTrending Up regime strategy
High trade frequency
0%
100%
No low-frequency recommendation
0%
100%
2% equity risk per trade
0%
100%
2:1 reward-to-risk ratio
0%
100%
ETH/DOGE asset focus
100%
100%
25% position size limit
0%
100%
Active loss management
90%
100%
Multi-timeframe confirmation
0%
100%
Regime identified as Trending Up
30%
100%
No overtrading warning
20%
100%
Mixed Choppy regime strategy
Regime identified as Mixed/Choppy
100%
100%
Reduce or eliminate trading
100%
100%
Trade frequency inversely correlated
80%
100%
Technical signals unreliable
100%
100%
Avoid shorting
100%
100%
Prefer directional assets
100%
100%
No long-bias recommendation
100%
100%
Capital preservation as goal
72%
100%
No high-frequency trading
100%
100%
Moderate Bearish regime strategy
Regime identified as Moderate Bearish
37%
100%
Low trade frequency
46%
100%
Capital preservation as fallback
0%
100%
Short bias recommended
100%
100%
Active profit-taking on shorts
100%
100%
DOGE as best short target
100%
100%
BNB as worst short target
100%
100%
No long bias recommendation
70%
100%
Frequency-loss correlation
61%
100%
f772de4
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.