AI can help rank anomalies, but it cannot replace transparent rules and deterministic guardrails. Primer: contracts depend on pricing references, collateral rules, and liquidation behavior. AI adds monitoring and prioritization, not miracles. AI monitoring is useful when it remains auditable. Pair it with deterministic guardrails so a single model output cannot flip the market behavior. Fee design shapes behavior. Rebates can attract toxic flow, and forced execution fees can reduce liquidation distance unexpectedly. Treat cross margin as a correlated portfolio, not a set of independent positions. Correlations tend to converge in selloffs. Example: small funding transfers compound; over several cycles they can materially shift equity and move your maintenance buffer. Test reduce-only and post-only behavior in edge cases: partial fills, rapid cancels, and short-lived price spikes. Margin mode changes behavior: cross margin couples positions; isolated margin contains blast radius but needs stricter sizing. Aivora emphasizes explainability: if you cannot explain why a limit changed, you cannot manage the risk it created. Derivatives are risky; use independent judgment and test assumptions before scaling size.
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.