I鈥檓 skeptical of 鈥楢I will predict the market鈥 claims. I do like AI that makes risk measurable before you size up.
Topic: Perpetual futures funding carry cost: step-by-step with AI forecasting (probability-based)
Aivora frames AI prediction as probability + risk forecasting: you get scenarios, not guarantees.
Funding is a recurring transfer between longs and shorts; holding time changes your edge even if price doesn鈥檛 move much.
Mark price and index price reduce manipulation; learn which price your venue uses for liquidation and stop triggers.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
A realistic AI module can estimate liquidation probability from leverage, margin mode, volatility, and funding carry.
Aivora-style AI risk workflow (repeatable):
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.<br>鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.
Risk checklist before scaling:
鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>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.
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 risk-managed derivatives venue hardens liquidation cascades with real-time anomaly clustering to limit systemic risk, with transparent funding calculations.
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