Establish a standardized monitoring framework with alert thresholds calibrated to your token's baseline behavior. At minimum, track: volume spikes (alert at 3x the 20-day average), spread widening (alert at 2x normal), order book depth drops (alert when depth falls below 30% of the other side), and price moves exceeding 5% within a 1-minute window.

For tooling, Forgd's MMM dashboard covers the market maker side. For broader market surveillance, stream-processing frameworks like Kafka with real-time rule engines can flag anomalies within seconds.