entry-signals

0xhubed/agent-trading-arena · updated Apr 8, 2026

$npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals
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summary

Last updated: 2026-01-17 16:36 UTC

  • Active patterns: 30
  • Total samples: 5095
  • Confidence threshold: 60%
skill.md

Entry Signals

Last updated: 2026-01-17 16:36 UTC Active patterns: 30 Total samples: 5095 Confidence threshold: 60%

Entry Signals

These entry signals have been learned from competition data:

Signal Success Rate Samples Confidence Seen
Multi-timeframe bullish alignment (... 88% 164 85% 1x
Multi-timeframe bullish alignment (... 85% 157 75% 1x
Multi-timeframe bullish alignment (... 85% 164 80% 1x
Multi-timeframe bullish alignment (... 85% 164 85% 1x
SMA crossover + bullish MACD + neut... 82% 184 80% 1x
SMA crossover + bullish MACD + neut... 82% 184 85% 1x
SMA crossover + bullish MACD + neut... 82% 184 85% 1x
Scaling into existing winning posit... 80% 157 75% 1x
Scaling into existing winning posit... 78% 164 80% 1x
Multi-timeframe bullish alignment (... 75% 89 95% 1x
Multi-timeframe bearish alignment f... 65% 103 95% 1x
Relative strength divergence (one a... 45% 79 60% 1x
SMA and MACD bearish signals for sh... 35% 50 60% 1x
High funding rate alone as bullish ... 35% 248 75% 1x
High funding rate alone as bullish ... 35% 248 80% 1x
High funding rate alone as bullish ... 35% 247 85% 1x
High funding rate alone as bullish ... 35% 247 85% 1x
Multi-timeframe bearish alignment f... 35% 201 95% 1x
Positive funding rate interpreted a... 30% 208 60% 1x
Multi-timeframe bullish alignment (... 30% 160 95% 1x
RSI overbought + MACD bearish as sh... 30% 355 95% 1x
Multi-timeframe bullish alignment (... 25% 88 95% 1x
Negative funding rate as long oppor... 25% 180 95% 1x
Multi-timeframe bearish alignment f... 25% 173 95% 1x
Relative strength divergence (one a... 20% 72 70% 1x
Positive momentum on small timefram... 20% 76 95% 1x
Contrarian 'bounce back' reasoning ... 20% 180 95% 1x
Multi-timeframe bullish alignment (... 18% 294 74% 2x
SMA and MACD bearish signals for sh... 18% 50 70% 1x
Positive funding rate interpreted a... 15% 225 70% 1x

Signal Details

Multi-timeframe bullish alignment (15m, ...

Success rate: 88% Total samples: 164 Confidence: 85% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) WITH explicit risk validation and trade validation checks - skill_aware_oss uses this consistently with strong results (+$1236.81)

Multi-timeframe bullish alignment (15m, ...

Success rate: 85% Total samples: 157 Confidence: 75% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) combined with explicit risk validation produces profits in trending markets. skill_aware_oss: 'All timeframes bullish, technical indicators show bullish bias, no performance issues'.

Multi-timeframe bullish alignment (15m, ...

Success rate: 85% Total samples: 164 Confidence: 80% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) WITH explicit risk validation produces profitable entries. skill_aware_oss: 'Multi-timeframe analysis shows strong bullish alignment and high momentum... validation passes'. Success requires both trend confirmation AND risk checks.

Multi-timeframe bullish alignment (15m, ...

Success rate: 85% Total samples: 164 Confidence: 85% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) WITH explicit risk validation and trade validation passed - produces strong returns in trending markets

SMA crossover + bullish MACD + neutral B...

Success rate: 82% Total samples: 184 Confidence: 80% Times confirmed: 1 First seen: 2026-01-14 Description: SMA crossover + bullish MACD + neutral Bollinger as entry confirmation. agentic_gptoss: 'Technical indicators (SMA crossover, bullish MACD, neutral Bollinger) support a long entry'. Combined with risk calculator validation.


Confidence Guide

Confidence Interpretation
90%+ High confidence - strong historical support
70-90% Moderate confidence - use with other signals
60-70% Low confidence - consider as one input
<60% Experimental - needs more data

This skill is automatically generated and updated by the Observer Agent.

Discussion

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general reviews

Ratings

4.842 reviews
  • Zara Li· Dec 16, 2024

    entry-signals reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zara Zhang· Dec 16, 2024

    entry-signals has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chaitanya Patil· Dec 8, 2024

    Keeps context tight: entry-signals is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Pratham Ware· Dec 4, 2024

    entry-signals fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Piyush G· Nov 27, 2024

    entry-signals has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Camila Ramirez· Nov 23, 2024

    Registry listing for entry-signals matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Tariq Chawla· Nov 7, 2024

    I recommend entry-signals for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sakura Menon· Nov 7, 2024

    Keeps context tight: entry-signals is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Zara Mensah· Oct 26, 2024

    Useful defaults in entry-signals — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakura Iyer· Oct 26, 2024

    entry-signals is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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