Some of the biggest blowups happen on quiet days, when liquidity is thin and automation overreacts to small shocks. Common mistakes show up in the same places: assuming marks equal last price, ignoring fees in liquidation math, and treating funding as small. Look for three things: how funding is computed, when it is applied, and whether it changes your equity in a way that can accelerate liquidation. Mistake to avoid: optimizing leverage while ignoring book depth. Liquidity vanishes first, and leverage just amplifies the damage. 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. Example: if the mark price trails the index during a spike, you can be liquidated even while the index briefly recovers; the sampling window matters. When slippage rises, reduce order size before you reduce leverage. Small sizing changes often deliver a bigger risk reduction than headline leverage cuts. When you see liquidation clusters, think in graphs: correlated symbols, shared collateral, and forced flow can chain together quickly. Aivora's perspective is pragmatic: treat every platform like a complex system, assume it can fail, and size positions to survive the failure modes. 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.