新增 17 個 Skills 並完成全員技能配置
- 新增 17 個 SKILL.md(tradermonty + langalpha 來源): breadth-chart-analyst, catalyst-calendar, competitive-analysis, comps-analysis, dcf-model, earnings-analysis, earnings-preview, earnings-trade-analyzer, edge-concept-synthesizer, edge-hint-extractor, options-strategy-advisor, pair-trade-screener, pead-screener, portfolio-manager, sector-overview, stanley-druckenmiller-investment, theme-detector - 更新全部 11 個 Agent 的 AGENTS.md(含原本空白的 ceo 與 xiao-an) - 更新 docs/agent-skill-mapping.md 至 v3.0(71 個配置,62 個技能) - 台股 + 美股雙市場覆蓋,Skills 均基於真實開源 repo Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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---
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name: PEAD 篩選器
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description: 財報後公告漂移(Post-Earnings Announcement Drift)篩選,自動識別財報跳空後的回調買點與突破訊號
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metadata:
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sources:
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- kind: github-file
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repo: tradermonty/claude-trading-skills
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path: skills/pead-screener/SKILL.md
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usage: referenced
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---
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# PEAD 篩選器
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基於 PEAD 效應(股價在正面財報後繼續上漲的傾向),篩選財報跳空後具備追入潛力的股票。
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## PEAD 原理
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學術研究確認:股票在正面財報後的 60 天內,平均仍有超額報酬(因市場對好消息的反應不足)。
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## 篩選流程
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1. **財報跳空識別**:找出財報後跳空 5%+ 的股票
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2. **品質過濾**:EPS 超出預期幅度、成交量確認
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3. **紅燈回調偵測**:跳空後的正常回調(3-8%),搜尋低成交量回調
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4. **突破確認**:回調後重新突破跳空日高點
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## 評分標準
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- 跳空幅度(越大越強)
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- 成交量(跳空日需高量)
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- 財務品質(EPS 超預期幅度、趨勢)
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- 技術位置(站上均線系統)
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## 輸出格式
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- PEAD 候選清單(含評分)
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- 各股建議觀察點(回調完成的確認條件)
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- 建議進場位置與止損
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## 使用時機
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財報季中,多方研究員配合 `earnings-trade-analyzer` 使用,識別最具動能的財報受益股
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