Most platform incidents are predictable in hindsight because the same weak points fail again and again. Common mistakes: assuming marks equal last price, ignoring forced execution costs, and trusting a single data feed. Funding is not just a number; timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits. Another mistake: optimizing leverage while ignoring liquidity. Liquidity vanishes first, leverage magnifies the damage. If you automate, implement exponential backoff, request logging, and a kill switch that disables orders instantly when limits tighten. Example: a temporary rate-limit tightening can cause missed exits and worse effective prices even without a price crash. Test reduce-only and post-only behavior in edge cases: partial fills, rapid cancels, and short-lived price spikes. Liquidation is a path, not an instant. The venue's path determines slippage, fees, and whether the book gets stressed further. Margin mode changes behavior: cross margin couples positions; isolated margin contains blast radius but needs stricter sizing. 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.