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Individual Investor

Smart Stock Monitoring Assistant

A full-time investor's approach to automated market monitoring

Client Profile

Retail investor with 5 years of A-share experience, typically holding 30-50 watchlist stocks across main board and ChiNext

Near-zero misses
Anomaly Detection
~2-3 seconds
Alert Latency
8
Data Sources
1.5 hours
Daily Time Saved

The Challenge

Way too many watchlist stocks to monitor during trading hours. The most frustrating thing was discovering after market close that a stock hit the daily limit — and you completely missed it. Tried using TongDaXin's conditional orders, but those only support basic price triggers. No way to catch volume spikes or sector-wide momentum shifts. After hours, still had to manually go through financial news and announcements, which was incredibly time-consuming.

The Solution

Built a market monitoring Agent system with four modules. The market data Agent tracks the watchlist and flags unusual price moves or volume spikes. The capital flow Agent monitors institutional money and northbound capital in real time. The pre-market news Agent pulls key financial headlines and announcements from multiple sources at 8 AM every morning and sends a briefing to Feishu. The alert Agent pushes all anomalies to Feishu with urgency tiers — routine items get a summary list, urgent ones trigger an immediate notification. All trigger conditions are customizable.

Technical Architecture

Market Data API + Financial News Sources + Capital Flow Data
Data Cleaning
Anomaly Detection (Threshold + Rule Engine)
Tiered Alerts
Feishu Push

Execution Flow

1
Real-time market data collection
2
Anomaly signal detection
3
Urgency classification
4
Tiered Feishu push
5
Pre-market briefing
6
Weekly performance report

Too many watchlist stocks to track. I kept missing surges until after market close. Now I get anomaly alerts pushed to Feishu — a quick glance during lunch tells me if I need to act.

R
Ray
Individual Investor

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