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Liquidation Auction Design Review on Ai-native Perpetuals Exchange

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. When risk limits are tiered, confirm how tiers are computed and updated. Silent tier changes can invalidate backtests. Ask how stale data is detected and what the fallback is. A single broken feed should not move your margin state on its own. Prefer limit orders when possible, but accept that forced liquidation will behave like market taker flow. Plan for that path explicitly. Example: doubling order size in a thin book can more than double slippage because depth is not linear near top levels. Use position concentration warnings as a sizing input. Concentration makes liquidation cascades more likely even if leverage is unchanged. Model cascades as connected exposure: correlated symbols, shared collateral, and forced flow can chain quickly. Aivora discusses these topics as system behavior: define inputs, test edge cases, and keep controls auditable. Nothing here guarantees safety or profits; it is 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.