stock-data-sourcing

What problem does it solve?

This Skill helps analysts and engineers choose and justify market and news data providers for cross-market stock analysis, ensuring decisions reflect coverage, freshness, and tool integration before writing reports or building ingestion pipelines.

Core Features & Use Cases

• Provider selection and tradeoffs: Recommend a primary provider and at least one fallback for tasks like realtime quotes, daily history, chip distribution, fundamentals, and news across A-share, Hong Kong, and US markets.
• Routing rules and freshness guidance: Apply explicit heuristics (e.g., prefer tushare with token, efinance for broad A-share, yfinance for US) and state freshness caveats and gaps.
• Integration notes: Produce actionable integration guidance that maps recommended providers to existing marketbot tools and highlights new connector needs.
• Use Case: Create a source plan for a mixed watchlist that assigns primary and fallback sources per symbol, explains latency and coverage limits, and lists integration steps for automated ingestion.

Quick Start

Ask the stock-data-sourcing skill to produce a source plan for NVDA that lists the primary provider, two fallbacks, expected freshness, and required integration notes.