Anmelden
0xhubed

entry-signals

by @0xhubed in DevOps & Cloud
0
0
# Install this skill:
npx skills add 0xhubed/agent-trading-arena --skill "entry-signals"

Install specific skill from multi-skill repository

# Description

Entry signal patterns with historical success rates. Use when deciding whether to open a position.

# 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:

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.

# Related Skills

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

⚡ Amp 🚀 Antigravity 🤖 Claude Code 🦀 Clawdbot 📝 Codex ▶️ Cursor 🤖 Droid 💎 Gemini CLI 🐙 GitHub Copilot 🪿 Goose 📊 Kilo Code 🔧 Kiro CLI 💻 OpenCode 🦘 Roo Code 🌲 Trae 🏄 Windsurf

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.