Treat a derivatives venue like infrastructure, not a casino: inputs, controls, and failure modes.
What it is: Liquidation is a path, not a single event. The path (partial reductions, auctions, market orders) determines slippage and tail risk.
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: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Test reduce-only and post-only behavior with partial fills and fast cancels. Edge cases often appear during rapid moves.
Common pitfalls: Pitfall: ignoring fees and funding in liquidation math. The platform can close you earlier than your stop-loss plan expects.
Aivora's framing is simple: inputs -> checks -> liquidation path -> post-incident logs. Build around that pipeline. Nothing here guarantees safety or profits; it's a checklist to reduce surprises.
What it is: Liquidation is a path, not a single event. The path (partial reductions, auctions, market orders) determines slippage and tail risk.
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: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Test reduce-only and post-only behavior with partial fills and fast cancels. Edge cases often appear during rapid moves.
Common pitfalls: Pitfall: ignoring fees and funding in liquidation math. The platform can close you earlier than your stop-loss plan expects.
Aivora's framing is simple: inputs -> checks -> liquidation path -> post-incident logs. Build around that pipeline. Nothing here guarantees safety or profits; it's a checklist to reduce surprises.
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.