Aivora AI-native exchange insights
Home Ciaran Murphy Liquidation Band Design Checklist for AI Derivatives Exchange

Liquidation Band Design Checklist for AI Derivatives Exchange

Most platform comparisons stop at fees, but execution and liquidation behavior decide the real cost.

Concept first: An AI risk layer should be explainable: it can rank anomalies, but deterministic guardrails must remain stable and auditable. Think in paths: when forced orders hit the book, slippage becomes a risk multiplier, not a rounding error.

Edge cases: Write down the exact references used: index price, mark price, and last price. Then confirm which reference drives margin checks and liquidation triggers.

Checklist: Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak. Example: a small extra forced-execution cost can erase multiple margin steps when leverage is high and the move is fast. Run a small-size rehearsal when liquidity is thin. Observe how stop orders trigger and how mark/last prices diverge around spikes.

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.