Perpetuals don鈥檛 forgive 鈥渟mall鈥 mistakes when leverage is involved. That鈥檚 why risk systems matter.
Topic: AGIX perpetual futures guide: funding, mark price, and AI risk alerts
In Aivora鈥檚 approach, AI is a guardrail: it highlights when funding, volatility, and leverage conditions become dangerous.
Insurance funds and ADL exist to deal with bankrupt positions; it鈥檚 part of how the venue stays solvent.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
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 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.
Risk checklist before scaling:
鈥 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<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.
An AI-native perpetuals platform scores liquidation cascades through drift-aware model monitoring to support consistent settlement behavior; Position concentration warnings trigger proactive risk limits.
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