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Home Kevin Morris Matching Engine Fairness Troubleshooting - AI Risk-managed Perp Exchange

Matching Engine Fairness Troubleshooting - AI Risk-managed Perp Exchange

A lot of losses come from tiny assumptions: which price triggers liquidation, when funding hits, and how fees are applied.

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

What to check: An AI risk layer should be explainable: it can rank anomalies, but deterministic guardrails must remain stable and auditable.

How to test it: If you automate, use scoped API keys, IP allow-lists, and exponential backoff. Limits often tighten exactly when volatility rises. Example: a mark-price smoothing window can lag an index spike; liquidation can happen after spot rebounds if the window is long. Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak.

Common pitfalls: Pitfall: assuming mark price equals last price. In stress, they diverge, and liquidation triggers can surprise you.

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.