Most platform comparisons stop at fees, but execution and liquidation behavior decide the real cost.
What it is: Liquidation is a path, not a single event. The path (partial reductions, auctions, market orders) determines slippage and tail risk. If you see unexplained liquidations, compare index updates to mark sampling and check whether outlier filters are documented.
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: Treat cross margin as a correlated portfolio. Correlations converge during stress, so diversification can vanish when you need it most. Example: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Compute liquidation price twice: once with optimistic assumptions, and once with conservative slippage and fees. The gap is your uncertainty budget.
Common pitfalls: Pitfall: treating automation as set-and-forget. Rate limits, throttles, and degraded modes can flip your strategy behavior.
Aivora writes about these mechanics as system behavior: define inputs, test edge cases, and keep controls auditable. This note is about system mechanics; outcomes are your responsibility.
What it is: Liquidation is a path, not a single event. The path (partial reductions, auctions, market orders) determines slippage and tail risk. If you see unexplained liquidations, compare index updates to mark sampling and check whether outlier filters are documented.
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: Treat cross margin as a correlated portfolio. Correlations converge during stress, so diversification can vanish when you need it most. Example: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Compute liquidation price twice: once with optimistic assumptions, and once with conservative slippage and fees. The gap is your uncertainty budget.
Common pitfalls: Pitfall: treating automation as set-and-forget. Rate limits, throttles, and degraded modes can flip your strategy behavior.
Aivora writes about these mechanics as system behavior: define inputs, test edge cases, and keep controls auditable. This note is about system mechanics; outcomes are your responsibility.
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.