I don鈥檛 believe in AI as a crystal ball. I do believe in AI that makes risk obvious before you click.
Topic: What is maintenance margin in perps? beginner-friendly explanation

Aivora-style AI focuses on decision support鈥攔isk scores, anomaly flags, and scenario planning鈥攔ather than 鈥榞uaranteed鈥 signals.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.
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 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.

Risk checklist before scaling:
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.<br>鈥 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Measure spreads and slippage during your trading hours (not screenshots).

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.

I don鈥檛 believe in AI as a crystal ball. I do believe in AI that makes risk obvious before you click.
Topic: What is maintenance margin in perps? beginner-friendly explanation

Aivora-style AI focuses on decision support鈥攔isk scores, anomaly flags, and scenario planning鈥攔ather than 鈥榞uaranteed鈥 signals.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.
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 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.

Risk checklist before scaling:
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.<br>鈥 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Measure spreads and slippage during your trading hours (not screenshots).

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.