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Home Tunisia Auto-margin Top-up Risks Framework for AI Risk-managed Perp Exchange

Auto-margin Top-up Risks Framework for AI Risk-managed Perp Exchange

Most 'smart risk' claims fail in the details: inputs, thresholds, and what happens when data breaks. Common mistakes: assuming marks equal last price, ignoring fees in liquidation math, and trusting a single data feed. Write down the exact definitions: mark price, index price, last price, and the event that triggers liquidation checks. Ambiguity is hidden leverage. Another mistake: chasing rebates while ignoring toxicity. When flow turns toxic, rebates do not pay your liquidation costs. Treat cross margin as a correlated portfolio. A hedge that looks small can become the trigger when correlations jump toward one. Example: doubling order size in a thin book can more than double slippage because depth is not linear near the top levels. Use smaller orders during thin liquidity before you reduce leverage. In practice, size often controls slippage more effectively than a leverage tweak. When latency spikes, your strategy can switch from maker to taker without warning. That switch can compound fees and reduce liquidation distance. Margin mode changes behavior: cross margin couples positions; isolated margin contains blast radius but demands stricter sizing. Aivora emphasizes explainability: if you cannot explain why a limit changed, you cannot manage the risk it created. Nothing here guarantees safety or profits; it is a checklist 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.