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.

• Trading AVAX perps in Belgium: what funding-rate interval changes mean for real traders (practical notes)
• CHZ perp exchange comparison: funding carry cost how to monitor it with an AI dashboard workflow
• KNC perpetuals for Bermuda users: how AI can help with monitoring risk without pretending to predict the future + AI-assisted workflow
• KSM funding & risk: rate limits what it means with AI decision support
• Slovenia guide to SOL futures platforms: why delistings and maintenance windows are part of your risk model
• drawdown control best practices for perpetual futures: with AI monitoring
• South Korea (Busan) guide to EOS futures platforms: how regional rails (KYC, banking, stablecoin networks) change your choices
• KSM funding & risk: rate limits what it means with AI decision support
• USA (California) 1INCH perpetual futures exchange checklist: how to read liquidations and open interest like a grown-up
• GALA perp rate limits rules you should know: with AI decision support
• Trading XTZ perps in Canada (Ontario): what funding-rate interval changes mean for real traders (practical notes)
• How to trade ICP perps responsibly: maintenance margin best practices with an AI dashboard workflow
• Sweden guide to KAS futures platforms: what funding-rate interval changes mean for real traders
• XTZ funding & risk: asset segregation practical checklist with AI monitoring