·forecast-sector-relative-return-from-yield-spread
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forecast-sector-relative-return-from-yield-spread

fatfingererr/macro-skills

用美債殖利率曲線利差(如 2Y-10Y)建立「領先關係」,推估未來一段時間內成長股(Nasdaq 100)相對防禦股(Healthcare/XLV)的相對績效方向與幅度。

3Installs·0Trend·@fatfingererr

Installation

$npx skills add https://github.com/fatfingererr/macro-skills --skill forecast-sector-relative-return-from-yield-spread

SKILL.md

| 1, "快速", "quick", "分析" | 執行 python scripts/spreadforecaster.py --quick | | 2, "完整", "full", "自訂" | 閱讀 workflows/analyze.md 並執行 | | 3, "掃描", "scan", "領先" | 閱讀 workflows/analyze.md 並聚焦 leadscan | | 4, "圖表", "chart", "視覺化" | 執行 python scripts/plotbloombergstyle.py --quick --output output/ | | 5, "驗證", "穩定", "stability" | 閱讀 workflows/analyze.md 並聚焦穩定性驗證 |

| 6, "學習", "方法論", "why" | 閱讀 references/methodology.md | | 提供參數 (如 ticker, lead) | 閱讀 workflows/analyze.md 並使用參數執行 |

| analyze.md | 完整情境分析 | 需要自訂參數驗證領先關係與預測 | | data-research.md | 數據源研究 | 了解如何獲取或替代殖利率/資產數據 |

用美債殖利率曲線利差(如 2Y-10Y)建立「領先關係」,推估未來一段時間內成長股(Nasdaq 100)相對防禦股(Healthcare/XLV)的相對績效方向與幅度。 Source: fatfingererr/macro-skills.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/fatfingererr/macro-skills --skill forecast-sector-relative-return-from-yield-spread
Category
{}Data Analysis
Verified
First Seen
2026-02-11
Updated
2026-02-18

Quick answers

What is forecast-sector-relative-return-from-yield-spread?

用美債殖利率曲線利差(如 2Y-10Y)建立「領先關係」,推估未來一段時間內成長股(Nasdaq 100)相對防禦股(Healthcare/XLV)的相對績效方向與幅度。 Source: fatfingererr/macro-skills.

How do I install forecast-sector-relative-return-from-yield-spread?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/fatfingererr/macro-skills --skill forecast-sector-relative-return-from-yield-spread Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/fatfingererr/macro-skills