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. Latency risk is real. When latency rises, a maker strategy can become taker flow and your costs jump right when you need stability. 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. Use position concentration warnings as a sizing input. Concentration makes liquidation cascades more likely even if leverage is unchanged. Example: a temporary rate-limit tightening can cause missed exits and worse effective prices even without a price crash. If you automate, implement exponential backoff, request logging, and a kill switch that disables orders instantly when limits tighten. Execution quality is a risk control. When latency rises, assume worse fills and rebuild your sizing plan. Aivora frames risk as a pipeline: inputs -> checks -> liquidation path -> post-incident logs. Build around that pipeline. 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.