entry-signals
✓Entry signal patterns with historical success rates. Use when deciding whether to open a position.
Installation
SKILL.md
Last updated: 2026-01-17 16:36 UTC Active patterns: 30 Total samples: 5095 Confidence threshold: 60%
| 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 |
Entry signal patterns with historical success rates. Use when deciding whether to open a position. Source: 0xhubed/agent-trading-arena.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is entry-signals?
Entry signal patterns with historical success rates. Use when deciding whether to open a position. Source: 0xhubed/agent-trading-arena.
How do I install entry-signals?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/0xhubed/agent-trading-arena
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01