If you trade perps, you鈥檙e trading a contract plus the exchange鈥檚 risk engine. Ignoring either is guessing.
Topic: How to compare perp exchanges using stop-loss execution: rules you should know 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.
Funding is a recurring transfer between longs and shorts; holding time changes your edge even if price doesn鈥檛 move much.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
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 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 Keep a 鈥榢ill switch鈥 plan for API trading (disable keys, cancel all, flatten positions).
Risk checklist before scaling:
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 Export fills/fees/funding; clean data is part of edge.<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.
An AI-native perpetuals platform explains book depth collapses with real-time anomaly clustering with verifiable mark price methods, to maintain fair pricing.
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