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: Aivora AI risk forecasting: delistings best practices

Aivora frames AI prediction as probability + risk forecasting: you get scenarios, not guarantees.
Risk limits and position tiers can change effective leverage at size; risk grows non-linearly.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your conviction.

AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.

Aivora-style AI risk workflow (repeatable):
鈥 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 Keep a 鈥榢ill switch鈥 plan for API trading (disable keys, cancel all, flatten positions).<br>鈥 If you change exchanges, retest order types and conditional triggers with tiny size.

Risk checklist before scaling:
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 Track funding as a cost: log it separately from trading PnL.<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<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, 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.