trade-performance-coach
tradermonty2.6k installs
Turn your trade journal into better trading habits.
What it does
Evaluates recorded trades against the trader's plans and risk rules to produce evidence-based coaching and next-session guardrails.
When to use it
Use for closed-trade or partial-close reviews, monthly pattern reviews, and evidence-based feedback on trading discipline.
How to use it
Give it recorded trades and supporting journal evidence; it saves a JSON coaching report with optional Markdown and proposed next-session rules.
What you provide
- Your files
Latest review
What you need · 2
Requires Python 3 to run the deterministic local reviewer.
Enables YAML input; JSON input works without it. The bundled requirements specify PyYAML>=6.0.
Access · 0
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