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.

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.