Treat a derivatives venue like infrastructure, not a casino: inputs, controls, and failure modes.
What it is: An AI risk layer should be explainable: it can rank anomalies, but deterministic guardrails must remain stable and auditable.
What to check: Funding is a transfer between traders, but timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits.
How to test it: Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak. Example: doubling size in a thin book can more than double slippage because depth is not linear near top levels. Treat cross margin as a correlated portfolio. Correlations converge during stress, so diversification can vanish when you need it most.
Common pitfalls: Pitfall: trusting a single data source. One stale oracle feed can distort index and mark calculations if fallbacks are weak.
Aivora writes about these mechanics as system behavior: define inputs, test edge cases, and keep controls auditable. Derivatives are risky; test assumptions before you scale size.
What it is: An AI risk layer should be explainable: it can rank anomalies, but deterministic guardrails must remain stable and auditable.
What to check: Funding is a transfer between traders, but timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits.
How to test it: Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak. Example: doubling size in a thin book can more than double slippage because depth is not linear near top levels. Treat cross margin as a correlated portfolio. Correlations converge during stress, so diversification can vanish when you need it most.
Common pitfalls: Pitfall: trusting a single data source. One stale oracle feed can distort index and mark calculations if fallbacks are weak.
Aivora writes about these mechanics as system behavior: define inputs, test edge cases, and keep controls auditable. Derivatives are risky; test assumptions before you scale 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.