AI导哈

测试与安全

stockbee-setup-fluency-trainer

tradermonty/cla…g-skills

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.

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安装命令

npx skills add https://github.com/tradermonty/claude-trading-skills --skill stockbee-setup-fluency-trainer

SKILL.md

Stockbee Setup Fluency Trainer

Build and maintain a model book for Stockbee-style Momentum Burst setups. This skill turns daily screener candidates into structured study records, updates them after the 3-day and 5-day windows mature, and summarizes which setup features are working or failing.

When to Use

  • User wants to study Stockbee Momentum Burst setups systematically
  • User asks to build a model book from stockbee-momentum-burst-screener output
  • User wants to review failed candidates, missed trades, or A/B setup quality
  • User wants 3-day / 5-day forward returns, MFE, MAE, and stop-hit outcomes
  • User wants to improve setup recognition before increasing position size
  • User asks which Stockbee tags should be promoted, downgraded, or filtered

Prerequisites

  • Python 3.10+
  • A stockbee-momentum-burst-screener JSON report, or compatible candidate JSON
  • Optional: FMP API key for outcome updates when offline OHLCV JSON is not supplied
  • Recommended local state path: state/stockbee/model_book.jsonl

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