MiX Individual Stock Analysis King

Problem

Short-horizon equity and sector research is often fragmented: news provides qualitative context, while market tools provide scattered daily bars, money flow, dragon-tiger lists, and financial metrics. MiX Individual Stock Analysis King targets A-share stocks or sectors and turns multi-round web search plus structured market data into a reproducible analysis workflow, ending with a dark-theme HTML report.

How It Works

• Input parsing: extracts the stock, sector, and analysis angle from prompts such as whether a stock may rise next week, or whether lithium batteries are stronger than solid-state batteries, and switches between single-stock, stock comparison, and sector comparison modes.
• Three search rounds: collects basic market news from the last 3 days, catalysts from the last 1-7 days, and sector policy or industry trends from the last 1-14 days, with a quality gate and one optional supplemental search when coverage is thin.
• Multi-source data enrichment: uses BaoStock, AkShare, and the finance-data-retrieval MCP to pull daily bars, dragon-tiger data, main-money flow, sector indices, and financial snapshots; missing fields are marked as unavailable instead of being estimated.
• Multi-agent output: the questioner frames the key issues, the expert analyzes financials, technicals, capital flow, catalysts, and risks, and the summarizer produces probability estimates, trade plans, and contingency notes in an HTML report.

Limits And Notes

It is useful for A-share stock research, sector comparison, short-term market review, and research-note assembly. It depends on external search and market-data endpoints, and real-time quotes are generally near-real-time. If web_search, BaoStock, AkShare, or MCP calls fail, the report should state the data gap. The output includes risk contingencies, but it is not a guaranteed market forecast and does not replace formal investment research.