ADL Trigger Logic How to for AI Risk-managed Perp Exchange

When execution feels random, it is often because the order path changes under stress and nobody explains the switch. Here is a direct way to approach it: start with definitions, then map them to the risk checks that run before and after each order. Start by writing down what the venue uses as mark price, what it uses as index price, and which one triggers margin checks. If those definitions are missing, your risk is already higher. Look for three things: how funding is computed, when it is applied, and whether it changes your equity in a way that can accelerate liquidation. If you use high leverage, stop-loss placement is not enough. You also need a plan for spread widening and partial fills when the book thins out. Example: a funding rate of 0.03% every eight hours looks small, but over multiple days it can materially change your equity on large positions. Measure funding, basis, and realized volatility together. Funding alone is a weak signal, but the combination can reveal crowded positioning and liquidation risk. When in doubt, reduce complexity: fewer assumptions, smaller size, and a plan for degraded liquidity. If you want a sanity check, compare what Aivora calls the risk pipeline: inputs -> checks -> liquidation path -> post-incident logging. Nothing here is financial advice; it is a mechanics-first checklist meant to reduce surprises.