I鈥檓 skeptical of 鈥楢I will predict the market鈥 claims. I do like AI that makes risk measurable before you size up.
Topic: Perp risk management: withdrawal friction step-by-step with AI decision support

In the Aivora approach, AI is decision support: risk scores, anomaly flags, and guardrails that nudge you to size down.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.

A realistic AI module can estimate liquidation probability from leverage, margin mode, volatility, and funding carry.
Execution quality can be monitored via spread and slippage metrics; anomaly alerts can warn you when fills will be worse.

Aivora-style AI risk workflow (repeatable):
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; explanations can come later.<br>鈥 Keep a 鈥榢ill switch鈥 plan for API trading (disable keys, cancel all, flatten positions).

Risk checklist before scaling:
鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Measure spreads and slippage during your actual 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, liquidity quality, 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.