Execution quality is a risk control. When it degrades, every other parameter becomes less reliable. Myth: an AI model alone prevents blowups. Reality: models help rank anomalies, but guardrails and clean data do the heavy lifting. When risk limits are tiered, confirm how tiers are computed and updated. Silent tier changes can invalidate backtests. Example: a 0.05% extra cost on forced execution can erase multiple margin steps when leverage is high and moves are fast. Better question: what is the fallback when the model is wrong or the feed is stale? 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. Use position concentration warnings as a sizing input. Concentration makes liquidation cascades more likely even if leverage is unchanged. 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. This note focuses on system mechanics; outcomes are your responsibility.
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.