My quantitative trading system has recently become stable and running smoothly.


The strategy is still being observed in small-scale live trading, and I’ve recently added a new layer: automatic alert handling.
In the past, if data flow was blocked, tasks encountered errors, or connections dropped, the system would send alerts immediately.
Now, further steps have been taken: after an alert is triggered, the system will first attempt to recover itself—reconnecting, restarting tasks, re-fetching data.
Many times, I haven't even seen the message; it has already handled everything on its own.
In a live trading system, this capability is very important.
The strategy still needs further validation, but the system itself must first be stable, monitorable, and capable of self-recovery.
Otherwise, even the best signals could die due to issues like data stream interruptions or task failures.
# #Quantitative Trading #openClaw #Damo Tea House
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