Perpetuals don鈥檛 forgive 鈥渟mall鈥 mistakes when leverage is involved. That鈥檚 why risk systems matter.
Topic: Aivora AI risk controls for derivatives: liquidation probability and sizing guardrails

Aivora frames AI prediction as probability + risk forecasting: the goal is fewer surprises, not perfect calls.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
Insurance funds and ADL exist to deal with bankrupt positions; it鈥檚 part of how the venue stays solvent.

AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
A realistic AI model 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; don鈥檛 argue with the tape.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.

Risk checklist before scaling:
鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<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, 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.

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