E

entry-signals

by @0xhubedv
4.9(3)

過去の成功率を持つエントリーシグナルパターンを提供し、投資判断を導き、取引タイミングを最適化します。

Trading SignalsAlgorithmic TradingMarket EntryFinancial IndicatorsGitHub
インストール方法
npx skills add 0xhubed/agent-trading-arena --skill entry-signals
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Before / After 効果比較

1
使用前

投資決定に科学的根拠が欠如しており、最適なエントリータイミングの判断が難しく、収益が不安定になります。盲目的に高値掴み安値売りをしてしまい、リスク管理能力が不足しています。

使用後

歴史的に成功率の高いエントリーシグナルパターンを提供し、投資決定を支援します。投資戦略の精度を向上させ、リスクを効果的に管理し、収益機会を増やします。

description SKILL.md


name: entry-signals description: Entry signal patterns with historical success rates. Use when deciding whether to open a position.

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:

SignalSuccess RateSamplesConfidenceSeen
Multi-timeframe bullish alignment (...88%16485%1x
Multi-timeframe bullish alignment (...85%15775%1x
Multi-timeframe bullish alignment (...85%16480%1x
Multi-timeframe bullish alignment (...85%16485%1x
SMA crossover + bullish MACD + neut...82%18480%1x
SMA crossover + bullish MACD + neut...82%18485%1x
SMA crossover + bullish MACD + neut...82%18485%1x
Scaling into existing winning posit...80%15775%1x
Scaling into existing winning posit...78%16480%1x
Multi-timeframe bullish alignment (...75%8995%1x
Multi-timeframe bearish alignment f...65%10395%1x
Relative strength divergence (one a...45%7960%1x
SMA and MACD bearish signals for sh...35%5060%1x
High funding rate alone as bullish ...35%24875%1x
High funding rate alone as bullish ...35%24880%1x
High funding rate alone as bullish ...35%24785%1x
High funding rate alone as bullish ...35%24785%1x
Multi-timeframe bearish alignment f...35%20195%1x
Positive funding rate interpreted a...30%20860%1x
Multi-timeframe bullish alignment (...30%16095%1x
RSI overbought + MACD bearish as sh...30%35595%1x
Multi-timeframe bullish alignment (...25%8895%1x
Negative funding rate as long oppor...25%18095%1x
Multi-timeframe bearish alignment f...25%17395%1x
Relative strength divergence (one a...20%7270%1x
Positive momentum on small timefram...20%7695%1x
Contrarian 'bounce back' reasoning ...20%18095%1x
Multi-timeframe bullish alignment (...18%29474%2x
SMA and MACD bearish signals for sh...18%5070%1x
Positive funding rate interpreted a...15%22570%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

ConfidenceInterpretation
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.

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統計データ

インストール数200
評価4.9 / 5.0
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更新日2026年3月17日
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作成2026年3月17日
最終更新2026年3月17日