An algorithmic trading dashboard is the human interface to automated decisions. It should reveal strategy health, risk, orders, positions, alerts, and performance without requiring operators to dig through logs during market stress.
Start with current risk and system state
The dashboard should show whether strategies are running, paused, degraded, or stopped. It should also show exposure, drawdown, position concentration, daily PnL, and whether any risk limit is close to being breached.
Make order flow inspectable
Operators need to see open orders, recent fills, rejects, cancellations, broker status, and reconciliation issues. Order visibility helps diagnose whether a problem is caused by strategy logic, broker behavior, or market conditions.
Design alerts for fast triage
A dashboard should prioritize alerts by severity and required action. Critical issues such as data failure, broker disconnect, unexpected position, or max loss breach should be visually impossible to miss.
Strategic takeaway
A good algorithmic trading dashboard compresses complexity into decision-ready information. It helps humans supervise automation with confidence.
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