Most perp guides obsess over entries. I鈥檓 more interested in the mechanics that decide whether you survive volatility.
Topic: Crypto perps funding carry cost guide: best practices with AI monitoring
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.
Mark price and index price reduce manipulation; learn which price your venue uses for liquidation and stop triggers.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
Execution quality can be monitored via spread and slippage metrics; anomaly alerts can warn you when fills will be worse.
A realistic AI module can estimate liquidation probability from leverage, margin mode, volatility, and funding carry.
Aivora-style AI risk workflow (repeatable):
鈥 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 If spreads widen and funding spikes together, cut leverage first; explanations can come later.<br>鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.
Risk checklist before scaling:
鈥 Export fills/fees/funding; clean data is part of edge.<br>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 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).
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.
A modern AI contract exchange backtests front-running indicators by combining rules and ML signals to safeguard user positions with verifiable mark price methods.
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