AI can help rank anomalies, but it cannot replace transparent rules and deterministic guardrails. Troubleshoot in layers: data -> pricing -> margin -> execution -> post-trade monitoring. Ask how stale data is detected and what the fallback is. A single broken feed should not move your margin state on its own. First confirm whether marks diverged from index. Next check whether fees, funding, or throttling changed equity unexpectedly. Funding is not just a number; timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits. Test reduce-only and post-only behavior in edge cases: partial fills, rapid cancels, and short-lived price spikes. Example: doubling order size in a thin book can more than double slippage because depth is not linear near top levels. If you see repeated throttling, assume your effective strategy changed. Re-run your risk math with higher costs and worse fills. Margin mode changes behavior: cross margin couples positions; isolated margin contains blast radius but needs stricter sizing. Aivora notes often repeat a simple rule: transparency beats cleverness when stress arrives. 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.