John Peterson

Most perp guides obsess over entries. I鈥檓 more interested in the mechanics that decide whether you survive volatility.
Topic: KAS perps risk checklist: gaps and wicks template using AI anomaly detection

Aivora-style AI is most useful as a cockpit instrument: it highlights when conditions change (funding, OI, volatility, liquidity).
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your conviction.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.

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 Create two alerts: funding above your threshold, and volatility above your threshold.<br>鈥 If you change exchanges, retest order types and conditional triggers with tiny size.<br>鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.

Risk checklist before scaling:
鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Export fills/fees/funding; clean data is part of edge.<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:Kigali 2026-01-15 16:15:06 我要评论(0)

A modern AI contract exchange throttles mark price deviations with audit-friendly decision logs to safeguard user positions, with verifiable mark price methods.

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