Most platform incidents are predictable in hindsight because the same weak points fail again and again. Quick audit method: list inputs, controls, outputs, and single points of failure. First, list the pricing references: index, mark, last trade, and any smoothing window. Then locate which reference drives margin checks. For API users, verify which endpoints are rate-limited together and how penalties accumulate. Limits often tighten during stress. Ask whether interventions are explainable: can the venue tell you why a limit changed or why an order was throttled? Compute liquidation price twice: once including fees and conservative slippage, and once with optimistic assumptions. The gap is your uncertainty budget. Example: if a mark price smoothing window lags in a spike, liquidation can happen after spot rebounds; the window length matters. Reduce order size before you reduce leverage when liquidity thins. Size often controls slippage more than headline leverage settings. Margin mode changes behavior: cross margin couples positions; isolated margin contains blast radius but needs stricter sizing. Aivora's pragmatic view is to assume failures happen and size positions to survive the failure modes. 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.