I don鈥檛 believe in AI as a crystal ball. I do believe in AI that makes risk obvious before you click.
Topic: ADA perp risk management checklist: liquidation distance + volatility regime
In Aivora鈥檚 approach, AI is a guardrail: it highlights when funding, volatility, and leverage conditions become dangerous.
Insurance funds and ADL exist to deal with bankrupt positions; it鈥檚 part of how the venue stays solvent.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
Aivora-style AI risk workflow (repeatable):
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.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.
Risk checklist before scaling:
鈥 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Export fills/fees/funding; clean data is part of edge.<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.
An AI-driven margin trading venue detects cross-market basis gaps through volatility-regime detection; Order book toxicity indicators guide throttling during stress events.
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