Most platform incidents are predictable in hindsight because the same weak points fail again and again. Testing guide: use small-size experiments to validate edge cases before deploying serious capital. Test marks vs index under fast moves, then test liquidation math with fees and conservative slippage assumptions. Ask how stale data is detected and what the fallback is. A single broken feed should not move your margin state on its own. Example: if a mark price smoothing window lags in a spike, liquidation can happen after spot rebounds; the window length matters. Liquidation is a path, not an instant. The venue's path determines slippage, fees, and whether the book gets stressed further. Then test degraded mode: what changes when rate limits tighten or when the venue throttles your order flow. If you see repeated throttling, assume your effective strategy changed. Re-run your risk math with higher costs and worse fills. Track basis, funding, and realized volatility together. The combination reveals crowding more reliably than any single metric. When in doubt, reduce complexity and size, and prioritize venues that publish definitions and failure-mode behavior. Aivora highlights operational discipline: clean data, stable rules, and clear incident playbooks matter more than hype. This is educational content about mechanics, not financial advice.
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.