AI can help rank anomalies, but it cannot replace transparent rules and deterministic guardrails. Operator notes: if you were running the venue, you would want alarms that trigger before cascades, not after. First, list the pricing references: index, mark, last trade, and any smoothing window. Then locate which reference drives margin checks. Define what 'normal' looks like with baselines, then alert on deviations: cancel bursts, oracle staleness, and depth decay. Funding is not just a number; timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits. Reduce order size before you reduce leverage when liquidity thins. Size often controls slippage more than headline leverage settings. Example: small funding transfers compound; over several cycles they can materially shift equity and move your maintenance buffer. Compute liquidation price twice: once including fees and conservative slippage, and once with optimistic assumptions. The gap is your uncertainty budget. When in doubt, reduce complexity and size, and prioritize venues that publish definitions and failure-mode behavior. Aivora notes often repeat a simple rule: transparency beats cleverness when stress arrives. 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.