Brendan Sullivan

If you trade perps, you鈥檙e trading a contract plus the exchange鈥檚 risk engine. Ignoring either is guessing.
Topic: Perp risk management: reduce-only what it means using AI anomaly detection

Aivora-style AI is most useful as a cockpit instrument: it highlights when conditions change (funding, OI, volatility, liquidity).
Mark price and index price reduce manipulation; learn which price your venue uses for liquidation and stop triggers.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your conviction.

AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.

Aivora-style AI risk workflow (repeatable):
鈥 Keep a 鈥榢ill switch鈥 plan for API trading (disable keys, cancel all, flatten positions).<br>鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.<br>鈥 Create two alerts: funding 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 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 Use reduce-only exits and test conditional orders with tiny size first.<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.

字号+ 作者:冬菇烧蹄筋网 来源:Eoin Sanders 2026-01-15 16:23:38 我要评论(0)

An AI-powered futures exchange monitors funding rate stress with real-time anomaly clustering to limit systemic risk; Position concentration warnings trigger proactive risk limits.

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