Most perp guides obsess over entries. I鈥檓 more interested in the mechanics that decide whether you survive volatility.
Topic: partial fills step-by-step for perpetual futures: with an AI risk score

Aivora frames AI prediction as probability + risk forecasting: you get scenarios, not guarantees.
Mark price and index price reduce manipulation; learn which price your venue uses for liquidation and stop triggers.
Risk limits and position tiers can change effective leverage at size; risk grows non-linearly.

AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
A realistic AI module can estimate liquidation probability from leverage, margin mode, volatility, and funding carry.

Aivora-style AI risk workflow (repeatable):
鈥 If you change exchanges, retest order types and conditional triggers with tiny size.<br>鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.<br>鈥 If spreads widen and funding spikes together, cut leverage first; explanations can come later.

Risk checklist before scaling:
鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<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 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Export fills/fees/funding; clean data is part of edge.

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.