Summary
Pulls sector uptrend data from a public CSV (no API key needed) and calculates where you are in the market cycle based on cyclical vs defensive positioning. You get sector rankings, overbought/oversold flags, and a cycle phase estimate with confidence levels. Optionally accepts chart images for industry-level detail. The workflow is structured: run the Python script, compare results against rotation frameworks in the knowledge base, then write up scenarios with probability ranges. Honestly most useful if you're already thinking in terms of sector rotation and want quantitative backing for cycle positioning calls. Output is a formatted markdown report with current situation, scenario analysis, and positioning recommendations.
Install to Claude Code
npx -y skills add tradermonty/claude-trading-skills --skill sector-analyst --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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