trade-performance-coach
Review closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns. Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach, risk-manager style review, rule-adherence review, next-session operating rules, or psychology-aware trading behavior feedback. This skill does not provide buy/sell advice, therapy, or broker execution.
npx skills add BaggaT236/AI-Trading-Skills --skill trade-performance-coach --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Trade Performance Coach ## Overview Trade Performance Coach reviews recorded trade outcomes and journal evidence to help a human trader improve their decision process. It converts closed-trade records, postmortem findings, risk rules, and optional market-regime context into an evidence-based coaching report covering: - process adherence - risk discipline - execution quality - possible trading-behavior patterns - next-session operating rules - coach questions for reflection This skill is intended to fill the support role that a risk manager, desk lead, or trading coach might provide in a professional trading environment. It is strictly a process-review skill: it never recommends entering, exiting, buying, selling, shorting, holding, or sizing a specific security. ## When to Use Use this skill when any of the following are true: - A trade has been closed and the user wants a post-trade coaching review. - A partial close occurred and the user wants to inspect sizing, stop, or exit behavior. - The user has `trader-memory-core` thesis records and `signal-postmortem` findings and wants next-session operating rules. - The user wants a monthly review of recurring process, risk, execution
- Overview
- When to Use
- When Not to Use
- Prerequisites
- Inputs
- Workflow
- Step 1 — Collect source records
- Step 2 — Evaluate process adherence
- Step 3 — Evaluate risk discipline
- Step 4 — Evaluate execution quality
- Step 5 — Detect possible behavior patterns
- Step 6 — Produce next-session operating rules
- Step 7 — Human decision gate
- Output
python3 skills/trade-performance-coach/scripts/review_trade_performance.py \
What does the trade-performance-coach skill do?
Review closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns. Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach, risk-manager style review, rule-adherence review, next-session operating rules, or psychology-aware trading behavior feedback. This skill does not provide buy/sell advice, therapy, or broker execution.
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill trade-performance-coach --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.