Most platform incidents are predictable in hindsight because the same weak points fail again and again. Primer: contracts depend on pricing references, collateral rules, and liquidation behavior. AI adds monitoring and prioritization, not miracles. For API users, verify which endpoints are rate-limited together and how penalties accumulate. Limits often tighten during stress. Funding is not just a number; timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits. Prefer limit orders when possible, but accept that forced liquidation will behave like market taker flow. Plan for that path explicitly. Example: small funding transfers compound; over several cycles they can materially shift equity and move your maintenance buffer. Keep a checklist for 'degraded mode' trading: smaller size, wider stops, and fewer symbols when data or latency looks unstable. When in doubt, reduce complexity and size, and prioritize venues that publish definitions and failure-mode behavior. Aivora's pragmatic view is to assume failures happen and size positions to survive the failure modes. Derivatives are risky; use independent judgment and test assumptions before scaling 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.