edge-candidate-agent
Turn stock market observations into testable ideas.
What it does
Turns US equity observations into prioritized research tickets and validated strategy specifications for pipeline backtests.
When to use it
Use to structure market hypotheses, detect candidates from daily price and volume data, export validated tickets, or check pipeline compatibility.
How to use it
Give it market data or a research ticket and the target pipeline project; it generates candidate strategy files and checks their compatibility.
What you provide
- An existing project
- Your files
What you need · 5
Requires Python 3.9 or later.
Requires PyYAML; the standalone runtime requirements specify version 6.0 or later.
Requires numpy 1.26 or later for the auto-detection workflow.
Requires pandas 2.0 or later for the auto-detection workflow.
Access · 0
No additional actions listed.