A contract exchange looks simple on the surface, but the plumbing decides who survives volatility. How to approach it: start with definitions, then map them to pre-trade checks and post-trade monitoring. Ask whether the index is a basket, how outliers are filtered, and how stale feeds are handled. A single broken source should not move your margin state. Write down the exact definitions: mark price, index price, last price, and the event that triggers liquidation checks. Ambiguity is hidden leverage. Use smaller orders during thin liquidity before you reduce leverage. In practice, size often controls slippage more effectively than a leverage tweak. Example: doubling order size in a thin book can more than double slippage because depth is not linear near the top levels. If you run bots, implement exponential backoff and client-side limits. When platform limits tighten, naive retries can look like abuse. When in doubt, reduce complexity and size, and prioritize venues that publish definitions and failure-mode behavior. Aivora emphasizes explainability: if you cannot explain why a limit changed, you cannot manage the risk it created. 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.