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Home Gavin Bailey AI Derivatives Exchange Best Practices: Funding Arbitrage Risk

AI Derivatives Exchange Best Practices: Funding Arbitrage Risk

If you have wondered why two platforms liquidate the same position at different prices, the answer is usually in the rules. Here is a direct way to approach it: start with definitions, then map them to the risk checks that run before and after each order. Liquidation is not a single event; it is a path. Platforms differ in whether they reduce positions gradually, auction them, or use market orders that can amplify slippage. Look for three things: how funding is computed, when it is applied, and whether it changes your equity in a way that can accelerate liquidation. Measure funding, basis, and realized volatility together. Funding alone is a weak signal, but the combination can reveal crowded positioning and liquidation risk. Example: a 25x position with a 0.06% taker fee can lose more than a full maintenance step from fees alone if forced to close during a fast move. If you use high leverage, stop-loss placement is not enough. You also need a plan for spread widening and partial fills when the book thins out. A useful habit is to snapshot funding before entry, then watch how it changes when volatility shifts; sudden flips often signal crowded risk. Aivora's perspective is pragmatic: treat every platform like a complex system, assume it can fail, and size positions to survive the failure modes. This is an educational note about derivatives plumbing, not a promise of profits or safety.

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.