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Awesome-finance-skills

Awesome-finance-skills contient 9 skills collectées depuis RKiding, avec une couverture métier par dépôt et des pages de détail sur le site.

skills collectés
9
Stars
2.6k
mis à jour
2026-03-29
Forks
344
Couverture métier
4 catégories métier · 100% classifié
explorateur de dépôts

Skills dans ce dépôt

alphaear-stock
Analystes financiers et en placements

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.

2026-03-29
alphaear-predictor
Analystes financiers et en placements

Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.

2026-03-28
alphaear-deepear-lite
Analystes financiers et en placements

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.

2026-03-28
alphaear-reporter
Analystes financiers et en placements

Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.

2026-03-28
alphaear-logic-visualizer
Développeurs de logicielsAnalystes financiers et en placements+1

Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows.

2026-02-03
alphaear-news
Analystes financiers et en placements

Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.

2026-02-03
alphaear-search
Analystes en études de marché et spécialistes en marketing

Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).

2026-02-03
alphaear-sentiment
Analystes en études de marché et spécialistes en marketing

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.

2026-02-03
alphaear-signal-tracker
Analystes financiers et en placements

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.

2026-02-03