Rank sector uptrend ratios and compute cyclical-versus-defensive risk regime scores.
npx skills add https://github.com/dnkrow/skill --skill sector-analyst-dnkrow
Please help me install this Agent Skill. Skill: sector-analyst Source: https://github.com/dnkrow/skill/tree/main/claude-global/sector-analyst Command: npx skills add https://github.com/dnkrow/skill --skill sector-analyst-dnkrow
This Skill helps you identify which market sectors are currently leading or lagging and translate those relative signals into a probabilistic market cycle phase view.
Use the sector-analyst skill to generate a sector rotation report for the latest public CSV data by running it with: python3 scripts/analyze_sector_rotation.py.
High-intent search queries and answers about installing and using this skill.
Market cycle phases are identified by ranking sector uptrend ratios and evaluating leader/laggard trend alignment. This analysis estimates whether the market is in an early, mid, late, or recession phase based on cyclical versus defensive sector performance.
Generate a sector rotation report by executing a Python script that fetches public CSV timeseries data. The script ranks sector uptrend ratios, calculates risk regime scores, and outputs formatted Markdown or JSON reports.
Sector rotation analysis requires a standard Python execution environment to run the analysis scripts. It automatically fetches public CSV inputs from GitHub sources, requiring no external API keys or paid data subscriptions.
Yes, quantitative sector ranking supports machine-readable JSON outputs alongside human-readable Markdown. The analysis computes risk regime scores and overbought/oversold flags, optionally saving both report formats locally.
Detect overbought and oversold sectors by evaluating their uptrend ratios against predefined thresholds. This analysis flags specific sectors extending beyond normal risk parameters during the current market cycle phase.
When public CSV timeseries data is stale, the analysis includes data recency awareness checks that warn you. This ensures sector rotation rankings and market cycle phase estimations do not rely on outdated inputs.
Fabio29TAnalyzes sector rotation patterns and market cycle phases from public CSV data.
kavi-linFetch TraderMonty's public sector CSV data to rank uptrends and estimate cycle phase and risk regime.
Dorpeer95Fetch sector rotation CSVs and rank sectors by uptrend strength.
MileniumTickAnalyze sector rotation and market-cycle positioning from public CSV data.
