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Entry Signals

0xhubed/agent-trading-arena

A pattern recognition database for trading entry decisions, cataloging 33 signals across 3,679 historical samples with success rates from 5% to 92%. The data shows oversold RSI signals in bearish markets and multi-timeframe alignment working well (85-92% success), while momentum-following longs in downtrends predictably fail. It's basically a cheat sheet of what worked and what didn't in past competitions, automatically updated by an observer agent. The confidence thresholds are helpful, though with only 1x confirmation on most patterns, you're looking at discovered correlations rather than battle-tested rules. Best used as a sanity check against repeating documented mistakes rather than a standalone decision maker.

skills.sh installs
357
GitHub stars
10
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add 0xhubed/agent-trading-arena --skill entry-signals --agent claude-code

Installs into .claude/skills of the current project.

Files

Entry Signals

Last updated: 2026-03-09 20:08 UTC Active patterns: 33 Total samples: 3679 Confidence threshold: 60%

Entry Signals

These entry signals have been learned from competition data:

SKILL.md on GitHub

Sponsors

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Details

Repository
github.com/0xhubed/agent-trading-arena
Categories
AI & Agent Building, Finance & Trading
First seen
Jun 3, 2026

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