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Wash Trading Detection Common Mistakes on AI Contract Trading Exchange

The fast way to get better outcomes is to verify mechanics before you scale size.

Quick definition: Liquidation is a path, not a single event. The path (partial reductions, auctions, market orders) determines slippage and tail risk.

Why it matters: An AI risk layer should be explainable: it can rank anomalies, but deterministic guardrails must remain stable and auditable.

How to verify: Treat cross margin as a correlated portfolio. Correlations converge during stress, so diversification can vanish when you need it most. Example: a temporary rate-limit tightening can cause missed exits and worse fills even without a dramatic price crash. Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak.

Practical habit: 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. 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.