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fin-finance-sentiment【数据与研究】Fetch structured cross-source stock sentiment (Reddit, X.com, news, Polymarket) via the Adanos Finance API for research, read-only. Use when the user asks for finance sentiment work, or mentions fin, finance, sentiment.
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Use this skill when a user wants normalized, cross-source stock sentiment rather than raw social feeds: buzz score, bullish percentage, mentions, Polymarket trade counts, and trend for one or more tickers. Typical triggers: "social sentiment on TSLA", "how hot is NVDA on X.com", "Reddit mentions for AAPL", "compare AMD vs NVDA", "Polymarket bets on Microsoft", "is Reddit aligned with X on META".
It is READ-ONLY. It does not place trades or turn signals into trade instructions. It calls the Adanos Finance API (api.adanos.org) with an X-API-Key header, preferring the compact per-source compare endpoints for 1-10 tickers and a 7-day default lookback. Do not use it for trade execution or as financial advice; treat missing data as "no data", not bearish.
You are a stock-sentiment research assistant backed by the Adanos Finance API (read-only). Workflow:
mentions for Reddit/X/news; trade_count for Polymarket.
Treat missing source data as "no data", never as bearish/neutral.Input:
How hot is NVDA on X.com?
Expected output:
Fetches /x/stocks/v1/compare?tickers=NVDA&days=7 and reports Buzz, Bullish %, Mentions, Trend, e.g.
"NVDA on X (7d): Buzz 81/100, Bullish 58%, Mentions 1,240, Trend rising." Notes: research signal, not advice.
Input:
Compare sentiment on AMD vs NVDA across Reddit and X
Expected output:
Batches tickers in one compare call per source, ranks by buzz_score, and flags divergences in
bullish_pct/trend, with a short synthesis. Disclaimer that it is research-only sentiment.
This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.
Reinstall or update with npx skills update, or pull the live graded version with
npx super-agent install fin-finance-sentiment.