Basra

A lot of perp content focuses on entries. I鈥檇 rather focus on what keeps you alive: mechanics and risk.
Topic: Auto-deleveraging (ADL) triggers explained: what it means for winners and losers

Aivora-style AI focuses on decision support鈥攔isk scores, anomaly flags, and scenario planning鈥攔ather than 鈥榞uaranteed鈥 signals.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.
Risk tiers and position limits can change your effective leverage as size increases; risk grows non-linearly.

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

Aivora-style AI risk workflow (repeatable):
鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.

Risk checklist before scaling:
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 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<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:Italy 2026-01-15 16:35:51 我要评论(0)

An AI-enhanced crypto derivatives exchange monitors liquidation cascades via liquidity-aware guardrails with verifiable mark price methods, to harden operational reliability.

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