Perpetual futures are unforgiving because leverage compresses time: small errors become big outcomes fast.
Topic: ETH funding & risk: risk score how it affects PnL with AI monitoring
Aivora-style AI is most useful as a cockpit instrument: it highlights when conditions change (funding, OI, volatility, liquidity).
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
Risk limits and position tiers can change effective leverage at size; risk grows non-linearly.
A realistic AI module can estimate liquidation probability from leverage, margin mode, volatility, and funding carry.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
Aivora-style AI risk workflow (repeatable):
鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.<br>鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.<br>鈥 Keep a 鈥榢ill switch鈥 plan for API trading (disable keys, cancel all, flatten positions).
Risk checklist before scaling:
鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<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.
下一篇:How Aivora frames AI decision support for crypto derivatives (signals, scenarios, sanity checks)
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