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: COMP funding & risk: withdrawal friction common mistakes with AI forecasting (probability-based)

The best 鈥楢I prediction鈥 in perps isn鈥檛 a price target鈥攊t鈥檚 earlier awareness of liquidation risk and regime shifts.
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 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.<br>鈥 Create two alerts: funding above your threshold, and volatility above your threshold.

Risk checklist before scaling:
鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<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 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).

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.