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Stock Trading Monitoring System

Data Analysis Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Follow https://skillhub.cn/install/skillhub.md to install @user_62138798/stock-price-monitor into your AI assistant.

About this skill

Problem

Monitoring A-share positions during trading hours often means manually checking several tickers for current price, percentage change, and threshold alerts. Stock Trading Monitoring System is built for Clawdbot: it wraps Sina Finance market data, alert checks, logging, and scheduled runs into a few simple commands. It turns repeated quote polling and manual verification into auditable local logs.

How It Works

  • Check: check runs one market check and returns an alert when a threshold triggers
  • Query: query returns current prices and percentage changes for watched stocks
  • Log: log views today's open, close, high, low, and alert records
  • History log: log_history views the last 7 days of log summaries

It reads scripts/stock_config.json for stock codes, names, price_high, price_low, rise_pct, fall_pct, and only_once. Each check fetches compact Sina quotes and writes valid prices plus alert timestamps to scripts/stock_daily_log.json.

Boundaries

This skill is suited for lightweight intraday monitoring and audit logs, not for order placement, risk control, or execution. If price is 0 or previous close is non-positive, the quote is skipped. Use checks every 1-5 minutes and set only_once to reduce repeated alerts.

Use Cases

  • During trading hours, run Clawdbot check on configured A-share tickers and receive price alerts.
  • Query current price and percentage change for all monitored stocks instead of opening each quote window.
  • After close, review today's open, close, high, low, and alert records to keep a daily watch log.
  • Use the 7-day log summary to review threshold triggers and adjust monitoring configuration.

Best For

  • Individual A-share investors who monitor positions: receive configured price alerts and keep daily logs.
  • Clawdbot automation engineers: integrate quote checks, queries, and logs into scheduled commands.
  • Quant support staff reviewing key prices: batch-check real-time prices and percentage changes.
  • Operations or risk-control assistants: review daily logs and 7-day summaries for trading checks.