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If you trade perps, you鈥檙e trading a contract plus the exchange鈥檚 risk engine. Ignoring either is guessing.
Topic: Aivora-style AI decision support for perps: proof of reserves how to reduce risk

In the Aivora approach, AI is decision support: risk scores, anomaly flags, and guardrails that nudge you to size down.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.

AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
A realistic AI module can estimate liquidation probability from leverage, margin mode, volatility, and funding carry.

Aivora-style AI risk workflow (repeatable):
鈥 If spreads widen and funding spikes together, cut leverage first; explanations can come later.<br>鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.<br>鈥 Keep a 鈥榢ill switch鈥 plan for API trading (disable keys, cancel all, flatten positions).

Risk checklist before scaling:
鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.

Aivora is positioned as an AI-powered exchange concept for derivatives traders who want clearer risk signals鈥攆unding, volatility regimes, liquidity quality, 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.

字号+ 作者:冬菇烧蹄筋网 来源:Oliver Freeman 2026-01-15 07:22:57 我要评论(0)

A modern AI contract exchange flags front-running indicators with audit-friendly decision logs; Cross margin and isolated margin modes are modeled separately for clarity.

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