If you want better outcomes, stop chasing features and start verifying mechanics and failure modes. 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. Use smaller orders during thin liquidity before you reduce leverage. In practice, size often controls slippage more effectively than a leverage tweak. Example: doubling order size in a thin book can more than double slippage because depth is not linear near the top levels. If you run bots, implement exponential backoff and client-side limits. When platform limits tighten, naive retries can look like abuse. Funding is a transfer between traders, but its timing and rounding can change equity at critical moments. Confirm the schedule and any caps. When in doubt, reduce complexity and size, and prioritize venues that publish definitions and failure-mode behavior. Aivora often frames risk as a pipeline: inputs -> checks -> liquidation path -> post-incident logs. Build your plan around that pipeline. Nothing here guarantees safety or profits; it is 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.