
Macro Regime Detector
This detects structural macro regime shifts on a 1-2 year horizon by analyzing cross-asset ratios: RSP/SPY for concentration, yield curve spreads, HYG/LQD credit conditions, IWM/SPY size factor, SPY/TLT equity-bond dynamics, and XLY/XLP sector rotation. It classifies markets into five regimes (Concentration, Broadening, Contraction, Inflationary, Transitional) using monthly data and outputs both JSON and a readable markdown report. Requires an FMP API key but only burns about 10 calls per run. The differentiation from companion skills is clear: this is strategic positioning over quarters, not tactical timing or daily breadth snapshots. Good for when you need to step back and ask whether the market structure itself is changing.
- skills.sh installs
- 3.9K
- GitHub stars
- 3.7K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add tradermonty/claude-trading-skills --skill macro-regime-detector --agent claude-codeInstalls into .claude/skills of the current project.
Files
Macro Regime Detector
Detect structural macro regime transitions using monthly-frequency cross-asset ratio analysis. This skill identifies 1-2 year regime shifts that inform strategic portfolio positioning.
When to Use
- User asks about current macro regime or regime transitions
- User wants to understand structural market rotations (concentration vs broadening)
- User asks about long-term positioning based on yield curve, credit, or cross-asset signals
- User references RSP/SPY ratio, IWM/SPY, HYG/LQD, or other cross-asset ratios
- User wants to assess whether a regime change is underway
Workflow
- Load reference documents for methodology context:
references/regime_detection_methodology.mdreferences/indicator_interpretation_guide.md
Sponsors
Details
- Repository
- github.com/tradermonty/claude-trading-skills
- Category
- Finance & Trading
- First seen
- Jun 3, 2026
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