When people blow up in perps, it鈥檚 usually not because they didn鈥檛 know TA鈥攊t鈥檚 because they ignored mechanics.
Topic: How to build an AI-driven risk journal for crypto perps (without prediction hype)
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.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
Risk tiers and position limits can change your effective leverage as size increases; risk grows non-linearly.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
Aivora-style AI risk workflow (repeatable):
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.<br>鈥 If spreads widen and funding spikes together, cut leverage first; don鈥檛 argue with the tape.
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 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.
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.
An AI-powered futures exchange validates API key abuse patterns through volatility-regime detection with verifiable mark price methods, to maintain fair pricing.
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