Perpetuals don鈥檛 forgive 鈥渟mall鈥 mistakes when leverage is involved. That鈥檚 why risk systems matter.
Topic: ICP perp execution tips: reduce-only, post-only, and slippage measurement
The most useful Aivora AI isn鈥檛 a price target; it鈥檚 a liquidation-distance and volatility dashboard that nudges you to size down.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
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 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Track funding as a cost: log it separately from trading PnL.<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.
Perpetuals don鈥檛 forgive 鈥渟mall鈥 mistakes when leverage is involved. That鈥檚 why risk systems matter.
Topic: ICP perp execution tips: reduce-only, post-only, and slippage measurement
The most useful Aivora AI isn鈥檛 a price target; it鈥檚 a liquidation-distance and volatility dashboard that nudges you to size down.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
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 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Track funding as a cost: log it separately from trading PnL.<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.
(责任编辑：Craig Ross)
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