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Stock Real-Time Monitoring Assistant

Data Analysis Updated 2026.08.30

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Please install @user_8d120697/stock-mtl-v5 according to https://skillhub.cn/install/skillhub.md.

About this skill

What problem it solves

When tracking A-share prices, the practical pain point is fragmented market data: different sources refresh at different speeds, and manually checking single stocks, broad indices, sector rankings, and limit-up/limit-down lists is tedious. This skill is for that day-to-day monitoring and lookup workflow, covering real-time alerts, single-stock queries, market queries, batch queries, sector data, limit rankings, and stock analysis.

How it works

It pulls quotes concurrently from Tencent Finance, Eastmoney, and Sina Finance, then cross-checks them using the median. If the price difference exceeds 0.5%, it flags a warning. Tickers are normalized to sh or sz formats, such as sh600519 for Kweichow Moutai and sz000001 for Ping An Bank.

Key capabilities:
- Monitoring: set a price-move threshold; the documented default is 2.0.
- Quick lookup: single stock, batch lists, and major indices.
- Market structure: sector gainers, limit-up, and limit-down rankings.
- Analysis: technicals, fund flow, fundamentals, support/resistance levels, and an overall score with operational suggestions.
- Notifications and positions: supports WeCom, WeChat, DingTalk, Bark, and ServerChan, and can track cost price, position size, purchase date, and unrealized P&L.

At runtime, it first identifies intent, extracts the stock name or code, then calls scripts such as monitor.py, query.py, market_data.py, pro_analyzer.py, and position_manager.py for querying, analysis, or pushing messages.

Boundaries

It is useful for engineers or traders who need market monitoring, data aggregation, and analysis support, but it should not be treated as the sole basis for trading decisions. Real-time alerts depend on trading hours and API availability. Push notifications require external channel configuration. Stock recommendations in the analysis output should be treated as reference information. Multi-source validation reduces single-source errors, but it cannot remove delays, missing fields, or API changes in upstream data sources.

Use Cases

  • Set threshold alerts during market hours to trigger messages when a stock moves by over 2% or breaks support.
  • Quickly check single-stock quotes, major index levels, and limit-up/limit-down rankings during trading sessions.
  • Analyze individual stocks using K-lines, moving averages, fund flow, and fundamentals to derive resistance levels and trading suggestions.
  • Track holding costs and position sizes to calculate P&L and receive stop-loss/take-profit alerts on price movements.

Best For

  • Retail investors who need real-time market monitoring and threshold-based alerts.
  • Quantitative analysts relying on multi-source cross-validation for accurate market data.
  • Financial data professionals who quickly check A-share indices and sector rankings.
  • Individual stock traders who want to persist holdings and automatically calculate P&L.