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How to Verify Maker Rebate Toxicity on an AI Contract Trading Exchange

Execution quality is a risk control. When it degrades, every other parameter becomes less reliable. Quick audit method: list inputs, controls, outputs, and single points of failure. Latency risk is real. When latency rises, a maker strategy can become taker flow and your costs jump right when you need stability. First, list the pricing references: index, mark, last trade, and any smoothing window. Then locate which reference drives margin checks. Ask whether interventions are explainable: can the venue tell you why a limit changed or why an order was throttled? Use position concentration warnings as a sizing input. Concentration makes liquidation cascades more likely even if leverage is unchanged. Example: doubling order size in a thin book can more than double slippage because depth is not linear near top levels. Track basis, funding, and realized volatility together. The combination reveals crowding more reliably than any single metric. Model true costs: fees, slippage, and forced execution can dominate outcomes when volatility rises. 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.