yahoo fetch data of stonks

**Quick judgment**: A focused, practical skill for obtaining current stock quotes from Yahoo Finance with normalized JSON output. It is well-suited for dashboards, chat agents, and simple trading or monitoring tools that need up-to-date prices and market state for one or more symbols. **Strengths**: - Handles multiple input formats (strings, space- or comma-separated lists, JSON arrays), making it easy to integrate. - Returns a clean, consistent structure per symbol (`symbol`, `price`, `change`, `changePercent`, `currency`, `marketState`). - Supports batch symbol queries in a single call, which is efficient for portfolio views. **Key risks / limitations**: - **Upstream dependency on Yahoo Finance**: subject to rate limits, blocking, HTML/API changes, or regional restrictions; this can cause failures or silent data issues over time. - **Data timeliness and completeness**: quotes may be delayed depending on region/exchange; not guaranteed suitable for high-frequency or execution-critical trading. - **Error-handling and edge cases** are not fully documented (e.g., invalid tickers, delisted symbols, partial failures in multi-symbol requests). **Recommended scenarios**: - Chatbots and assistants that answer user questions about current stock prices and daily changes. - Portfolio/watchlist dashboards where near-real-time price and marketState information is sufficient. - Notification or alert systems that periodically poll prices and act on simple thresholds. - Prototyping or educational environments where ease of access to quotes is more important than institutional-grade reliability or latency. Less suitable for: - Latency-sensitive, high-frequency, or mission-critical trading systems. - Use cases requiring guaranteed historical consistency, survivable against upstream provider changes, or strict SLAs without additional monitoring and error-handling layers.