Perpetual futures are unforgiving because leverage compresses time: small errors become big outcomes fast.
Topic: Perpetual futures maintenance margin: common mistakes using AI anomaly detection

Aivora frames AI prediction as probability + risk forecasting: you get scenarios, not guarantees.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.

AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.

Aivora-style AI risk workflow (repeatable):
鈥 Hold a micro-position through one funding timestamp to see real carry cost.<br>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.

Risk checklist before scaling:
鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Track funding as a cost: log it separately from trading PnL.<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.