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entry-signals

by @0xhubedv
4.9(3)

Provides entry signal patterns with historical success rates to guide investment decisions and optimize trading timing.

Trading SignalsAlgorithmic TradingMarket EntryFinancial IndicatorsGitHub
Installation
npx skills add 0xhubed/agent-trading-arena --skill entry-signals
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Before / After Comparison

1
Before

Investment decisions lack scientific basis, making it difficult to determine the best entry timing, leading to unstable returns. There's a tendency to blindly chase highs and sell lows, with insufficient risk control capabilities.

After

Provide entry signal patterns with high historical success rates to assist investment decisions. Improve the accuracy of investment strategies, effectively control risks, and increase profit opportunities.

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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Updated2026年3月17日
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Timeline

Created2026年3月17日
Last Updated2026年3月17日