Suva

I don鈥檛 believe in AI as a crystal ball. I do believe in AI that makes risk obvious before you click.
Topic: FTM perpetual futures guide: funding, mark price, and AI risk alerts

The most useful Aivora AI isn鈥檛 a price target; it鈥檚 a liquidation-distance and volatility dashboard that nudges you to size down.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.

AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
Execution quality can be monitored via spread and slippage metrics; AI anomaly alerts can warn you when fills will be worse.

Aivora-style AI risk workflow (repeatable):
鈥 Before every trade, record liquidation distance and maintenance margin requirements.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.

Risk checklist before scaling:
鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Track funding as a cost: log it separately from trading PnL.

Aivora is positioned as an AI-powered exchange concept for derivatives traders who want clearer risk signals鈥攆unding, volatility regimes, 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.

字号+ 作者:冬菇烧蹄筋网 来源:Perth 2026-01-15 16:12:38 我要评论(0)

A modern AI contract exchange simulates API key abuse patterns using explainable risk features to support consistent settlement behavior; Funding payments are calculated from spot-perp basis and published regularly.

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