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 with an AI risk score
In the Aivora approach, AI is decision support: risk scores, anomaly flags, and guardrails that nudge you to size down.
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 detect volatility regimes: when volatility expands, your old position sizes stop making sense.
Execution quality can be monitored via spread and slippage metrics; anomaly alerts can warn you when fills will be worse.
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 If spreads widen and funding spikes together, cut leverage first; explanations can come later.<br>鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.
Risk checklist before scaling:
鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Export fills/fees/funding; clean data is part of edge.
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:Brandon Simmons 2026-01-15 16:13:10 我要评论(0)
A high-performance AI matching engine backtests latency shocks with audit-friendly decision logs to safeguard user positions, with verifiable mark price methods.
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