A-Share Sector Analyst Expert Team

Problem

Analyzing an A-share sector usually requires more than one prompt. A useful view must cover fundamentals, supply chain, policy, overseas mapping, fund flow, sentiment, technicals, and position sizing, while also handling flaky data sources. Without structure, the output often becomes a mix of ad-hoc opinions, inconsistent numbers, and claims that are hard to verify or present to a client.

How It Works

The skill runs a multi-agent workflow with a lead coordinator. It starts with Phase 0 data preparation, normalizing sector scope, stock prefixes, market mapping, and data-source availability. It then dispatches parallel agents for overview, policy, supply chain, overseas mapping, and market context, followed by company profiling, technical analysis, and strategy synthesis. Data can come from a primary MCP source, westock-mcp, public interfaces, or WebSearch, with fallback logging when quotas are exhausted. Key metrics are written to charts_input.json for a 12-section report and 5 charts, including sector trend, PE-TTM, YTD performance, fund flow, and A-share to US-stock mapping.

Limitations

This is best for sector diagnostics, research drafts, and client-facing summaries, not for replacing licensed investment advice or real-time order execution. Quality depends on connector status, data completeness, and accurate sector naming. If live data is unavailable, the output should be treated as unverified rather than conclusive.