Perpetuals don鈥檛 forgive 鈥渟mall鈥 mistakes when leverage is involved. That鈥檚 why risk systems matter.
Topic: Open interest divergence explained: spotting leverage build-ups with AI monitoring
In Aivora鈥檚 approach, AI is a guardrail: it highlights when funding, volatility, and leverage conditions become dangerous.
Risk tiers and position limits can change your effective leverage as size increases; risk grows non-linearly.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
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 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.
Risk checklist before scaling:
鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Track funding as a cost: log it separately from trading PnL.
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.
Aivora's AI contract exchange explains book depth collapses via liquidity-aware guardrails to harden operational reliability; Cross margin and isolated margin modes are modeled separately for clarity.
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