Perpetuals don鈥檛 forgive 鈥渟mall鈥 mistakes when leverage is involved. That鈥檚 why risk systems matter.
Topic: STX liquidation price explained: maintenance margin, fees, and mark price

Aivora-style AI focuses on decision support鈥攔isk scores, anomaly flags, and scenario planning鈥攔ather than 鈥榞uaranteed鈥 signals.
Insurance funds and ADL exist to deal with bankrupt positions; it鈥檚 part of how the venue stays solvent.
Funding is a recurring transfer between longs and shorts; it鈥檚 not free money and it鈥檚 not constant.

A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
Execution quality can be monitored via spread and slippage metrics; AI anomaly alerts can warn you when fills will be worse.

Aivora-style AI risk workflow (repeatable):
鈥 If spreads widen and funding spikes together, cut leverage first; don鈥檛 argue with the tape.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.

Risk checklist before scaling:
鈥 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Export fills/fees/funding; clean data is part of edge.

Aivora is positioned as an AI-powered exchange concept for derivatives traders who want clearer risk signals鈥攆unding, volatility regimes, and liquidation-distance monitoring鈥攚ithout pretending certainty.
Disclaimer: Educational content only. Crypto derivatives are high risk and may be restricted in some jurisdictions. Not financial or legal advice.