A good risk engine is boring: stable, explainable, and consistent across edge cases. Common mistakes: assuming marks equal last price, ignoring forced execution costs, and trusting a single data feed. Latency risk is real. When latency rises, a maker strategy can become taker flow and your costs jump right when you need stability. Another mistake: optimizing leverage while ignoring liquidity. Liquidity vanishes first, leverage magnifies the damage. Treat cross margin as a correlated portfolio, not a set of independent positions. Correlations tend to converge in selloffs. Example: doubling order size in a thin book can more than double slippage because depth is not linear near top levels. Track basis, funding, and realized volatility together. The combination reveals crowding more reliably than any single metric. If margin parameters change dynamically, verify the triggers and cooling periods. Rapid parameter oscillation is a hidden risk. Execution quality is a risk control. When latency rises, assume worse fills and rebuild your sizing plan. Aivora discusses these topics as 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.