10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 652 ms

1. 1bert-base-chinese-finetuning-financial-news-sentiment-v2verified and signedpassport

   modelrecord1,971 downloads/month

   • text-classification

     Task: text-classification

2. 2financial-sentiment-v1.1-baseverified and signedpassport

   modelrecord924 downloads/month

   • text-generation

     Task: text-generation

3. 3bert-base-chineseverified and signedpassport

   modelrecord983,488 downloads/month

   • fill-mask

     Task: fill-mask

4. 4FinBERT Financial Sentimentverified and signedpassport

   MCP serverrecord

   • finbert_demo_classify

     Classify the sentiment of a piece of financial text as positive, negative, or neutral.

5. 5alphaear-sentimentverified and signedpassport

   skillrkiding/awesome-finance-skillsrecord

   • alphaear-sentiment

     Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.

6. 6bert-base-chinese-wsverified and signedpassport

   modelrecord37,353 downloads/month

   • token-classification

     Task: token-classification

7. 7sbert-base-chinese-nliverified and signedpassport

   modelrecord1,078 downloads/month

   • sentence-similarity

     Task: sentence-similarity

8. 8finance-sentimentverified and signedpassport

   skillhimself65/finance-skillsrecord

   • finance-sentiment

     Fetch normalized stock sentiment across Reddit, X.com, financial news, and Polymarket from the Adanos Finance API: buzz score, bullish percentage, mention or trade counts, and trend. Use this skill whenever the user asks how much a stock is being discussed or how hot it is on social platforms, how m

9. 9financial-expertverified and signedpassport

   skillmodelstudioai/skillsrecord

   • financial-expert

     Use when users need China or Hong Kong securities, funds, fund managers, company financials, valuation, global macro or industry time series, broker research, announcements, financial news, or enterprise-risk data. Triggers include 选股、基金筛选、基金经理、净利润、营收、ROE、估值、 GDP、CPI、核心 PCE、行业产销价、研报、公告、财经新闻、工商与司法风险。

10. 10financial-research-agentfound in code, not yet checkedno passport yet
    • news_sentiment

      Search recent news and compute bullish/bearish/neutral sentiment.