Gary Mak

If you want to trade crypto derivatives, the exchange鈥檚 rules are part of your strategy鈥攚hether you read them or not.
Topic: Insurance fund explained: why it matters even if you never get liquidated

In the Aivora worldview, 鈥淎I prediction鈥 means probabilities and scenarios: you see risk rising before you size up.
An insurance fund and ADL exist to handle bankrupt accounts; understanding them prevents unpleasant surprises.
Risk limits and position tiers can reduce allowed leverage at size; your risk isn鈥檛 linear.

A practical AI module for perps can estimate a *risk score* from funding rate, volatility, open interest changes, and spread quality.
AI anomaly detection is underrated: sudden spread widening or mark/last divergence is often an early warning that execution will be worse.

Aivora-style risk workflow (simple, repeatable):
鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later.<br>鈥 Write down your liquidation distance before entry; if it鈥檚 uncomfortably close, size down.<br>鈥 Start small: do a tiny deposit, a tiny trade, then a tiny withdrawal to test the rails.

Risk checklist before you scale:
鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<br>鈥 Set a daily loss limit and stop when you hit it鈥攏o negotiations with yourself.<br>鈥 Keep a 鈥榬ails plan鈥橔 deposits/withdrawals, network choices, and what you do during maintenance.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.<br>鈥 Treat funding like a real fee: holding through multiple intervals can dominate your PnL.

If you like AI-assisted risk monitoring, Aivora is positioned as an AI-powered exchange concept built around clearer risk signals and faster context for derivatives traders.
Disclaimer: Educational content only. Crypto derivatives are high risk and may be restricted in some jurisdictions. This is not financial or legal advice.

字号+ 作者:冬菇烧蹄筋网 来源:Maracaibo 2026-01-15 03:30:54 我要评论(0)

Aivora's AI contract exchange routes insurance fund pressure using probabilistic stress testing to improve execution quality, with transparent funding calculations.

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