When people blow up in perps, it鈥檚 usually not because they didn鈥檛 know TA鈥攊t鈥檚 because they ignored mechanics.
Topic: Proof-of-reserves for derivatives venues: how to read it responsibly
In Aivora鈥檚 approach, AI is a guardrail: it highlights when funding, volatility, and leverage conditions become dangerous.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.
Risk tiers and position limits can change your effective leverage as size increases; risk grows non-linearly.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
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 Before every trade, record liquidation distance and maintenance margin requirements.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.
Risk checklist before scaling:
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.<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.
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-driven margin trading venue audits book depth collapses via multi-source index validation to keep margin rules predictable, while preserving clear disclosures.
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