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Stockbee Setup Fluency Trainer

stockbee-setup-fluency-trainer

Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics. Use when the user wants to study Stockbee Momentum Burst examples, track failed candidates, build setup fluency, review A/B setup quality, or convert screener outputs into a learning loop rather than immediate trade signals.

Install

Research and analysis tools, not financial advice. Some workflows use optional FMP, FINVIZ Elite or Alpaca accounts; the repo's five-skill starter path needs no API key. Open the repository

Run this in your project folder. It works with Claude Code, Cursor, Codex and dozens of other agents.

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer

Needs Node.js. Add -g to install for every project, or -a claude-code to skip the agent picker.

How to use Stockbee Setup Fluency Trainer

Once it's installed, Claude reads this skill on its own whenever a request matches what it's for, so you don't have to mention it by name. In Claude Code you can also run it directly by typing /stockbee-setup-fluency-trainer.

It includes scripts that Claude may run on your computer, so skim them on GitHub before you install.

What the instructions cover

  1. 1When to Use
  2. 2Prerequisites
  3. 3Workflow
  4. 4Model Book Fields
  5. 5Interpretation Rules
  6. 6Output
  7. 7Resources
  8. 8Shared FMP client

Section headings from the skill's SKILL.md file.

What's inside · 9 files

  • SKILL.md
  • references/model_book_schema.md
  • references/outcome_tags.md
  • references/review_workflow.md
  • requirements.txt
  • scripts/build_model_book.py
  • scripts/fmp_client.py
  • scripts/tests/test_build_model_book.py
  • scripts/tests/test_build_model_book_coverage.py

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