Aivora AI-native exchange insights
Home Leonard Barnes Index Basket Outlier Filter How to (no Surprises)

Index Basket Outlier Filter How to (no Surprises)

Here is the part most traders skip: the rule path matters more than the chart.

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: Run a small-size rehearsal when liquidity is thin. Observe how stop orders trigger and how mark/last prices diverge around spikes. Example: doubling size in a thin book can more than double slippage because depth is not linear near top levels. Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak.

Common pitfalls: Pitfall: overusing cross margin without correlation thinking. Portfolio coupling can turn a hedge into a trigger.

Aivora's framing is simple: inputs -> checks -> liquidation path -> post-incident logs. Build around that pipeline. 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.