moltstreet-sectorsAI signals for 11 SPDR sector ETFs — sector rotation, industry analysis with multi-analyst debate. Free, no API key.
Install via ClawdBot CLI:
clawdbot install fredxyt/moltstreet-sectorsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://moltstreet.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Users ask which sectors are currently strong or weak, seeking to identify money flow trends. The skill provides multi-analyst signals for 11 SPDR sector ETFs, helping detect rotation from bearish to bullish sectors.
Users compare specific sectors like technology (XLK) vs. healthcare (XLV) to assess performance. The skill fetches consensus data, analyst perspectives, and predictions for each ETF to highlight strengths and weaknesses.
Users mention a sector ETF ticker (e.g., XLF for financials) and want detailed analysis. The skill retrieves data via API calls, presenting bullish/bearish counts, confidence levels, and active predictions.
Users seek a quick snapshot of major sectors (XLK, XLF, XLE, XLV, XLI) to gauge overall market sentiment. The skill summarizes rotation themes and analyst consensus for efficient decision-making.
Offers free access to sector ETF signals without an API key, potentially attracting users to premium features or broader datasets. Revenue may come from upselling to paid tiers for advanced analytics or real-time data.
Aggregates AI-generated analyst perspectives and historical accuracy data for sector ETFs. Revenue streams could include licensing this structured data to financial platforms, research firms, or educational tools.
Targets investors and students learning about sector rotation and industry trends. Revenue may be generated through affiliate marketing, sponsored content, or integration fees from financial education platforms.
💬 Integration Tip
Use curl commands to fetch data for specific ETFs, and parse JSON responses to build rotation views with consensus counts and confidence levels.
Scored Jun 17, 2026
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