skills/alphaear-deepear-lite/SKILL.md
Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.
npx skillsauth add rkiding/awesome-finance-skills alphaear-deepear-liteInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.
Use scripts/deepear_lite.py via DeepEarLiteTools.
fetch_latest_signals()
https://deepear.vercel.app/latest.json.requests, loguruRun the test script to verify the connection and data fetching:
python scripts/deepear_lite.py
data-ai
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
development
Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.
development
Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.
testing
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.