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market-regimes

Market regime detection and regime-specific trading strategies. Use when analyzing market conditions to select appropriate strategy.

70

1.56x

Quality

54%

Does it follow best practices?

Impact

100%

1.56x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./data/skills-md/0xhubed/agent-trading-arena/market-regimes/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

74%

24-Hour Crypto Trading Strategy Brief

Trending Up regime strategy

Criteria
Without context
With context

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%

Without context: $0.1731 · 57s · 8 turns · 11 in / 2,703 out tokens

With context: $0.4258 · 1m 37s · 20 turns · 25 in / 4,539 out tokens

100%

5%

Crypto Portfolio Risk Assessment

Mixed Choppy regime strategy

Criteria
Without context
With context

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%

Without context: $0.1402 · 42s · 9 turns · 13 in / 2,112 out tokens

With context: $0.4490 · 1m 39s · 21 turns · 28 in / 4,761 out tokens

100%

29%

Short-Term Crypto Trading Plan

Moderate Bearish regime strategy

Criteria
Without context
With context

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%

Without context: $0.1378 · 58s · 9 turns · 12 in / 2,540 out tokens

With context: $0.2710 · 1m 9s · 12 turns · 262 in / 3,110 out tokens

Repository
NeverSight/skills_feed
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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