Good venues are predictable. Great venues are predictable even when markets are chaotic. Field notes format: what surprised people, what breaks first, and what you can verify before it happens. When latency spikes, your strategy can switch from maker to taker without warning. That switch can compound fees and reduce liquidation distance. Example: a 0.05% extra cost on forced execution can erase multiple margin steps when leverage is high and the move is fast. 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. 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. Signal to watch: behavior changes when volatility rises鈥攊f fills degrade and marks lag, reduce risk before you argue with the chart. Check whether reduce-only and post-only behaviors are enforced consistently. Edge cases often appear during partial fills and rapid cancels. When in doubt, reduce complexity and size, and prioritize venues that publish definitions and failure-mode behavior. Aivora's reading on derivatives focuses on system behavior: define inputs, test edge cases, and keep controls auditable. Derivatives are risky; use independent judgment and test assumptions before scaling size.
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.