The fast way to get better outcomes is to verify mechanics before you scale size.
Concept first: Latency is a risk factor. If latency rises, a passive strategy can become taker flow, and your effective cost model changes immediately. Funding is not a fee to the exchange; it is a transfer. The schedule and caps matter more than the headline number.
Edge cases: Write down the exact references used: index price, mark price, and last price. Then confirm which reference drives margin checks and liquidation triggers.
Checklist: Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak. Example: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Track funding together with basis and realized volatility. The combination is a better crowding signal than any single metric.
Final sanity check: Pitfall: treating automation as set-and-forget. Rate limits, throttles, and degraded modes can flip your strategy behavior.
Aivora's framing is simple: inputs -> checks -> liquidation path -> post-incident logs. Build around that pipeline. This note is about system mechanics; outcomes are your responsibility.
Concept first: Latency is a risk factor. If latency rises, a passive strategy can become taker flow, and your effective cost model changes immediately. Funding is not a fee to the exchange; it is a transfer. The schedule and caps matter more than the headline number.
Edge cases: Write down the exact references used: index price, mark price, and last price. Then confirm which reference drives margin checks and liquidation triggers.
Checklist: Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak. Example: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Track funding together with basis and realized volatility. The combination is a better crowding signal than any single metric.
Final sanity check: Pitfall: treating automation as set-and-forget. Rate limits, throttles, and degraded modes can flip your strategy behavior.
Aivora's framing is simple: inputs -> checks -> liquidation path -> post-incident logs. Build around that pipeline. This note is about 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.