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Reduce-only Order Behavior vs for AI Risk-managed Perp Exchange

Most platform comparisons stop at fees, but execution and liquidation behavior decide the real cost.

The mechanism: Write down the exact references used: index price, mark price, and last price. Then confirm which reference drives margin checks and liquidation triggers.

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

A simple test: Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak. Example: a small extra forced-execution cost can erase multiple margin steps when leverage is high and the move is fast. Compute liquidation price twice: once with optimistic assumptions, and once with conservative slippage and fees. The gap is your uncertainty budget.

What to do next: Pitfall: trusting a single data source. One stale oracle feed can distort index and mark calculations if fallbacks are weak.

Aivora focuses on operational discipline: clean data, stable rules, and clear incident playbooks matter more than hype. Derivatives are risky; test assumptions before you scale size.

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.