pead-screener by tradermonty/claude-trading-skills
npx skills add https://github.com/tradermonty/claude-trading-skills --skill pead-screener使用周K线分析来筛选财报后跳空上涨的股票,以检测PEAD(财报后漂移)模式,识别红色蜡烛回调形态和突破信号。
FMP API密钥(设置 FMP_API_KEY 环境变量或传递 --api-key 参数)
export FMP_API_KEY=your_api_key_here
免费层级(250次调用/天)足以进行默认筛选
对于模式B:需要包含 schema_version "1.0" 的 earnings-trade-analyzer JSON输出文件
通过以下两种模式之一运行PEAD筛选器脚本:
模式A(FMP财报日历):
# 默认:最近14天的财报,5周监控窗口
python3 skills/pead-screener/scripts/screen_pead.py --output-dir reports/
# 自定义参数
python3 skills/pead-screener/scripts/screen_pead.py \
--lookback-days 21 \
--watch-weeks 6 \
--min-gap 5.0 \
--min-market-cap 1000000000 \
--output-dir reports/
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模式B(earnings-trade-analyzer JSON输入):
# 基于 earnings-trade-analyzer 的输出
python3 skills/pead-screener/scripts/screen_pead.py \
--candidates-json reports/earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.json \
--min-grade B \
--output-dir reports/
references/pead_strategy.md 以了解PEAD理论和形态背景references/entry_exit_rules.md 以了解交易管理规则对于每个候选股票,呈现:
基于阶段和评级:
pead_screener_YYYY-MM-DD_HHMMSS.json - 包含阶段分类的结构化结果pead_screener_YYYY-MM-DD_HHMMSS.md - 按阶段分组的人类可读报告references/pead_strategy.md - PEAD理论和周K线分析方法references/entry_exit_rules.md - 入场、出场和仓位管理规则周安装量
74
代码仓库
GitHub星标数
394
首次出现
2026年2月23日
安全审计
已安装于
cursor71
github-copilot70
codex70
amp70
kimi-cli70
gemini-cli70
Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns using weekly candle analysis to detect red candle pullbacks and breakout signals.
FMP API key (set FMP_API_KEY environment variable or pass --api-key)
export FMP_API_KEY=your_api_key_here
Free tier (250 calls/day) is sufficient for default screening
For Mode B: earnings-trade-analyzer JSON output file with schema_version "1.0"
Run the PEAD screener script in one of two modes:
Mode A (FMP earnings calendar):
# Default: last 14 days of earnings, 5-week monitoring window
python3 skills/pead-screener/scripts/screen_pead.py --output-dir reports/
# Custom parameters
python3 skills/pead-screener/scripts/screen_pead.py \
--lookback-days 21 \
--watch-weeks 6 \
--min-gap 5.0 \
--min-market-cap 1000000000 \
--output-dir reports/
Mode B (earnings-trade-analyzer JSON input):
# From earnings-trade-analyzer output
python3 skills/pead-screener/scripts/screen_pead.py \
--candidates-json reports/earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.json \
--min-grade B \
--output-dir reports/
references/pead_strategy.md for PEAD theory and pattern contextreferences/entry_exit_rules.md for trade management rulesFor each candidate, present:
Based on stages and ratings:
pead_screener_YYYY-MM-DD_HHMMSS.json - Structured results with stage classificationpead_screener_YYYY-MM-DD_HHMMSS.md - Human-readable report grouped by stagereferences/pead_strategy.md - PEAD theory and weekly candle approachreferences/entry_exit_rules.md - Entry, exit, and position sizing rulesWeekly Installs
74
Repository
GitHub Stars
394
First Seen
Feb 23, 2026
Security Audits
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Installed on
cursor71
github-copilot70
codex70
amp70
kimi-cli70
gemini-cli70
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