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Home Connor McCarthy Mark Price Sampling Window Testing Guide for AI Contract Trading Exchange

Mark Price Sampling Window Testing Guide for AI Contract Trading Exchange

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

Concept first: Liquidation is a path, not a single event. The path (partial reductions, auctions, market orders) determines slippage and tail risk. If you see unexplained liquidations, compare index updates to mark sampling and check whether outlier filters are documented.

Edge cases: Funding is a transfer between traders, but timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits.

Checklist: 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. Treat cross margin as a correlated portfolio. Correlations converge during stress, so diversification can vanish when you need it most.

Final sanity check: Pitfall: trusting a single data source. One stale oracle feed can distort index and mark calculations if fallbacks are weak.

In Aivora notes, transparency beats cleverness when markets get loud. This is educational content about mechanics, not financial advice.

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.