Hugo Leung

If you trade perps, you鈥檙e trading a contract plus the exchange鈥檚 risk engine. Ignoring either is guessing.
Topic: funding interval changes how to reduce risk for perpetual futures: with AI risk alerts

Aivora-style AI is most useful as a cockpit instrument: it highlights when conditions change (funding, OI, volatility, liquidity).
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.
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.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.

Aivora-style AI risk workflow (repeatable):
鈥 Create two alerts: funding above your threshold, and volatility above your threshold.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.

Risk checklist before scaling:
鈥 Use reduce-only exits and test conditional orders with tiny size first.<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 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:Tallinn 2026-01-15 16:10:39 我要评论(0)

A high-performance AI matching engine re-prices book depth collapses by combining rules and ML signals to improve execution quality, with tiered margin and fee schedules.

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