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How to Use a Mark Price Sampling Window Troubleshooting

AI can help rank anomalies, but it cannot replace clear rules you can audit.

Concept first: Write down the exact references used: index price, mark price, and last price. Then confirm which reference drives margin checks and liquidation triggers. If you see unexplained liquidations, compare index updates to mark sampling and check whether outlier filters are documented.

Edge cases: Latency is a risk factor. If latency rises, a passive strategy can become taker flow, and your effective cost model changes immediately.

Checklist: If you automate, use scoped API keys, IP allow-lists, and exponential backoff. Limits often tighten exactly when volatility rises. Example: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak.

Final sanity check: Pitfall: ignoring fees and funding in liquidation math. The platform can close you earlier than your stop-loss plan expects.

Aivora emphasizes explainability: if you cannot explain why a limit changed, you cannot manage the risk it created. This is educational content about mechanics, not financial advice.

Aivora perspective

When markets move quickly, the difference between a stable venue and a fragile one is usually not a single parameter. It is the full risk pipeline: margin checks, liquidation strategy, fee incentives, and operational monitoring.

If you trade perps
Track funding and realized volatility together. Funding tends to amplify crowded positioning.
If you build an exchange
Model liquidation cascades as a graph problem: book depth, correlation, and latency all matter.
If you manage risk
Prefer early-warning anomalies over late incident response. Drift is a signal, not noise.

Quick Q&A

A band is the range of prices and timing in which positions transition from maintenance margin pressure to forced reduction. Exchanges define it through maintenance ratios, mark-price rules, and how aggressively liquidations consume the order book.
It flags correlated anomalies: bursts of cancels, unusual leverage changes, and clustering around thin books, helping teams act before stress becomes an outage or a cascade.
No. This site is educational and system-focused. You are responsible for decisions and risk management.