From rkiding-awesome-finance-skills-1
Fetches real-time financial signals and transmission-chain analyses from DeepEar Lite. Provides market trend insights, stock performance factors, and reasoning summaries.
How this skill is triggered — by the user, by Claude, or both
Slash command
/rkiding-awesome-finance-skills-1:alphaear-deepear-liteThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.
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
npx claudepluginhub rkiding/awesome-finance-skillsTracks finance investment signal evolution by assessing new market information to determine if signals are strengthened, weakened, or falsified.
Runs deep stock analysis on A-share/HK/US markets using 22 data dimensions, 17 institutional methods (DCF, Comps, LBO, IC Memo), and 51 investor personas. Generates HTML reports and image cards. Zero API keys required.
Analyzes SEC Form 4 filings to track insider buying/selling, compute net sentiment, summarize transactions, and highlight significant trades for investment signals.