Fetch cached quotes and historical series for stocks, ETFs, indices, FX, and crypto.
npx skills add https://github.com/ViewWay/openclaw-skills --skill finance-viewway
Please help me install this Agent Skill. Skill: finance Source: https://github.com/ViewWay/openclaw-skills/tree/main/finance Command: npx skills add https://github.com/ViewWay/openclaw-skills --skill finance-viewway
Manual market tracking is time-consuming and error-prone. This Skill provides fast, cached quotes and easy access to historical data for stocks, ETFs, indices, FX pairs, and crypto, reducing latency and API load.
Add symbols to your watchlist and fetch a latest quote or a short series to begin tracking.
High-intent search queries and answers about installing and using this skill.
To get cached stock quotes and historical data, you add selected symbols to a watchlist and fetch the latest prices or series. This implements a local state directory and provider fallbacks to reduce latency and API load.
Yes, you can track FX pairs and crypto prices alongside ETFs and indices. The Skill fetches latest quotes and historical series across multiple symbol types using an extensible provider strategy designed for these assets.
Yes, the market data fetching tool works with yfinance and pandas as core dependencies. It uses requests to retrieve data and pandas to process historical series for trend analysis and performance review across your selected symbols.
The best way to monitor multiple symbols without hitting API rate limits is using intelligent caching and a local state directory. This approach stores recent quote data locally, minimizing external requests while providing fast price checks.
The provider fallback mechanism works by switching between free and paid data sources when fetching historical market series. If the primary provider fails or limits requests, the extensible strategy automatically attempts an alternative source to retrieve the data.
644408071-designRetrieve minute-level candlestick data from OKX, Tushare, or yfinance.
OpenSenseNovaConvert percentage data into stacked bar charts for trend analysis.
phanijappsAnalyze yfinance portfolio returns to generate risk metrics and allocation recommendations.
personamanagmentlayerImplement and backtest algorithmic trading strategies with Python libraries.
