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

Community

Predict sector-relative returns from yield curves

Authorfatfingererr
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill analyzes the lead-lag relationship between US yield-curve spread (2Y-10Y) and sector relative performance (QQQ vs XLV), providing data-driven forecasts and interpretable outputs to support cross-asset allocation decisions.

Core Features & Use Cases

  • Lead-lag analysis: quantify how current yield-curve shape relates to future relative performance of growth versus defensive sectors.
  • Data integration & processing: fetches yield data from FRED and price data from Yahoo Finance, computes spread and relative ratio, and supports multiple lead times.
  • Forecasting & reporting: outputs structured results (JSON/Markdown) with point estimates, confidence intervals, and stability checks for informed decision making.

Quick Start

Run a quick analysis with default parameters to see the current forecast:

  • cd skills/forecast-sector-relative-return-from-yield-spread
  • python scripts/spread_forecaster.py --quick

Dependency Matrix

Required Modules

pandasnumpyyfinancerequestsscipymatplotlib

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: forecast-sector-relative-return-from-yield-spread
Download link: https://github.com/fatfingererr/macro-skills/archive/main.zip#forecast-sector-relative-return-from-yield-spread

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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