Most 'smart risk' claims fail in the details: inputs, thresholds, and what happens when data breaks. Common mistakes: assuming marks equal last price, ignoring fees in liquidation math, and trusting a single data feed. Ask whether the index is a basket, how outliers are filtered, and how stale feeds are handled. A single broken source should not move your margin state. Another mistake: chasing rebates while ignoring toxicity. When flow turns toxic, rebates do not pay your liquidation costs. If you run bots, implement exponential backoff and client-side limits. When platform limits tighten, naive retries can look like abuse. Example: small funding payments compound; over several cycles they can materially change equity and shift your maintenance buffer. Compute liquidation price including fees and funding assumptions, then compare it to your stop-loss plan. If the two are too close, your plan is mostly hope. Fee design can be a risk control. Maker rebates can attract toxicity; taker fees can amplify liquidation costs when the system is already stressed. Margin mode changes behavior: cross margin couples positions; isolated margin contains blast radius but demands stricter sizing. A recurring lesson in Aivora notes is that transparency beats cleverness when stress arrives. This note is about system design and user risk; 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.