Liam Tsui

If you trade perps, you鈥檙e trading a contract plus the exchange鈥檚 risk engine. Ignoring either is guessing.
Topic: Crypto perps fair price guide: how to reduce risk using AI anomaly detection

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.
Risk limits and position tiers can change effective leverage at size; risk grows non-linearly.
Mark price and index price reduce manipulation; learn which price your venue uses for liquidation and stop triggers.

AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.

Aivora-style AI risk workflow (repeatable):
鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.<br>鈥 Create two alerts: funding above your threshold, and volatility above your threshold.<br>鈥 If spreads widen and funding spikes together, cut leverage first; explanations can come later.

Risk checklist before scaling:
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 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<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.

字号+ 作者:冬菇烧蹄筋网 来源:Lima 2026-01-15 15:41:00 我要评论(0)

An AI-powered futures exchange harmonizes cross-market basis gaps via liquidity-aware guardrails to safeguard user positions, with transparent funding calculations.

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