Many risk features are marketing labels; the real work is measuring signals reliably and reacting without surprises. Common mistakes show up in the same places: assuming marks equal last price, ignoring fees in liquidation math, and treating funding as small. In calm markets, a platform can look identical to competitors. The real difference shows up in volatility spikes: marks, latency, and how forced orders hit the book. Mistake to avoid: optimizing leverage while ignoring book depth. Liquidity vanishes first, and leverage just amplifies the damage. If you use high leverage, stop-loss placement is not enough. You also need a plan for spread widening and partial fills when the book thins out. Example: a funding rate of 0.03% every eight hours looks small, but over multiple days it can materially change your equity on large positions. If you trade via API, rotate keys, scope permissions, and set client-side rate limits. Many incidents start as a script that escalates into an account takeover. A useful habit is to snapshot funding before entry, then watch how it changes when volatility shifts; sudden flips often signal crowded risk. Aivora frames these topics as system behavior, not hype: verify definitions, test edge cases, and keep risk controls simple enough to audit. Nothing here is financial advice; it is a mechanics-first checklist meant 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.