Summary
This one's for analyzing sentiment in financial text, which is trickier than general sentiment because "restructuring" or "volatility" hit differently in markets. You get two modes: FinBERT running locally for speed when you're batch processing news headlines, or you can have the LLM do it when you need actual reasoning about why something's bullish or bearish. Returns a score from negative one to positive one plus a label and explanation. The batch processing method is handy if you're maintaining a news database and need to catch up on sentiment scores. Straightforward tool if you're building anything that needs to gauge market mood from text.
Install to Claude Code
npx -y skills add rkiding/awesome-finance-skills --skill alphaear-sentiment --agent claude-codeInstalls into .claude/skills of the current project.
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SKILL.md
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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...
one prompt install →
