stock-monitor

To set up automated stock monitoring with trailing stop alerts, launch the background daemon via the control.sh start script in the skill's scripts directory. It continuously fetches real-time data via public APIs to track A-shares, ETFs, and spot gold, applying configurable thresholds for trailing-stop scenarios.

You can monitor technical analysis signals including moving average golden and death crosses, RSI overbought or oversold conditions, volume surge or shrink detection, and price gap detection. The system computes these indicators in real-time by fetching market data via public APIs.

Yes, this stock monitoring daemon fully supports Chinese A-share markets, ETFs, and international spot gold for both intraday and post-market monitoring. It adapts its scheduling frequency based on market-aware sessions including lunch, after-hours, and night or weekend periods.

The background daemon handles market-aware scheduling by adjusting its monitoring frequency for intraday, lunch, after-hours, and night or weekend sessions. This adaptive approach reduces noise and conserves system resources while continuously computing indicators and triggering tiered alerts.

Yes, you can combine news sentiment and fund flow analysis with technical stock monitoring. The system offers optional intelligent analysis that integrates macro correlations and news sentiment to support alert escalation from simple reminders to warnings and critical notifications.

You only need to install the requests library to run the Python stock monitoring scripts, as it is the sole dependency required. The script uses this library to fetch real-time and historical market data from public APIs for indicator computation.