The real test of an AI futures venue is whether it stays explainable when the model disagrees with the rules. Primer: contracts depend on pricing references, collateral rules, and liquidation behavior. AI adds monitoring and prioritization, not miracles. AI monitoring helps by ranking anomalies, but deterministic guardrails must remain: leverage caps, exposure limits, and circuit breakers that do not depend on a single model output. Write down the exact definitions: mark price, index price, last price, and the event that triggers liquidation checks. Ambiguity is hidden leverage. Compute liquidation price including fees and funding assumptions, then compare it to your stop-loss plan. If the two are too close, your plan is mostly hope. Example: a sudden rate-limit tightening can turn a strategy into canceled orders, missed exits, and worse effective prices. Treat cross margin as a correlated portfolio. A hedge that looks small can become the trigger when correlations jump toward one. Margin mode changes behavior: cross margin couples positions; isolated margin contains blast radius but demands stricter sizing. Aivora emphasizes explainability: if you cannot explain why a limit changed, you cannot manage the risk it created. This note is about system design and user risk; 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.