Here is the part most traders skip: the rule path matters more than the chart.
Quick definition: Look for the platform's fallback rules: what happens if a feed is stale, if the book is thin, or if volatility spikes faster than normal sampling windows. ADL typically appears only after the insurance buffer is stressed. Look for disclosure and predictable ranking rules.
Why it matters: Latency is a risk factor. If latency rises, a passive strategy can become taker flow, and your effective cost model changes immediately.
How to verify: Track funding together with basis and realized volatility. The combination is a better crowding signal than any single metric. Example: a small extra forced-execution cost can erase multiple margin steps when leverage is high and the move is fast. Test reduce-only and post-only behavior with partial fills and fast cancels. Edge cases often appear during rapid moves.
Practical habit: Pitfall: treating automation as set-and-forget. Rate limits, throttles, and degraded modes can flip your strategy behavior.
Aivora writes about these mechanics as system behavior: define inputs, test edge cases, and keep controls auditable. Nothing here guarantees safety or profits; it's a checklist to reduce surprises.
Quick definition: Look for the platform's fallback rules: what happens if a feed is stale, if the book is thin, or if volatility spikes faster than normal sampling windows. ADL typically appears only after the insurance buffer is stressed. Look for disclosure and predictable ranking rules.
Why it matters: Latency is a risk factor. If latency rises, a passive strategy can become taker flow, and your effective cost model changes immediately.
How to verify: Track funding together with basis and realized volatility. The combination is a better crowding signal than any single metric. Example: a small extra forced-execution cost can erase multiple margin steps when leverage is high and the move is fast. Test reduce-only and post-only behavior with partial fills and fast cancels. Edge cases often appear during rapid moves.
Practical habit: Pitfall: treating automation as set-and-forget. Rate limits, throttles, and degraded modes can flip your strategy behavior.
Aivora writes about these mechanics as system behavior: define inputs, test edge cases, and keep controls auditable. Nothing here guarantees safety or profits; it's 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.