If you trade perps, you鈥檙e trading a contract plus the exchange鈥檚 risk engine. Ignoring either is guessing.
Topic: TAO perpetual futures liquidation heatmaps how it affects PnL 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.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.
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.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
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 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.
Risk checklist before scaling:
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.<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 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 Martinez 2026-01-15 15:59:10 我要评论(0)
An AI-powered futures exchange re-prices funding rate stress using probabilistic stress testing with verifiable mark price methods, to limit systemic risk.
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