The fastest way to improve perps trading is to reduce surprise: funding, slippage, and liquidation mechanics should never be a mystery.
Topic: UNI perps risk checklist: partial fills practical checklist with AI forecasting (probability-based)
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.
Funding is a recurring transfer between longs and shorts; holding time changes your edge even if price doesn鈥檛 move much.
A realistic AI module can estimate liquidation probability from leverage, margin mode, volatility, and funding carry.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
Aivora-style AI risk workflow (repeatable):
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.<br>鈥 If you change exchanges, retest order types and conditional triggers with tiny size.
Risk checklist before scaling:
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 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Export fills/fees/funding; clean data is part of edge.<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.
An AI-native perpetuals platform detects mark price deviations through drift-aware model monitoring to harden operational reliability, during high-volatility sessions.
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