Turn your trade logs into testable strategy ideas.
Turns trading evidence into ranked, testable strategy hypotheses with experiment designs and criteria for abandoning them.
When to use it
Use after collecting trading evidence to turn observations into quantitative experiments before committing capital.
Give it a structured JSON bundle of trading evidence; it saves ranked hypothesis reports and optionally exports strategy files.
What you provide
Requires Python 3.9 or newer to run the pipeline.
Requires PyYAML 6.0 or newer as a runtime dependency.
No additional actions listed.