Stock Trading Monitoring System
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:
checkruns one market check and returns an alert when a threshold triggers - Query:
queryreturns current prices and percentage changes for watched stocks - Log:
logviews today's open, close, high, low, and alert records - History log:
log_historyviews 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.
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