Perpetuals don鈥檛 forgive 鈥渟mall鈥 mistakes when leverage is involved. That鈥檚 why risk systems matter.
Topic: TAO perpetual futures guide: funding, mark price, and AI risk alerts
Aivora-style AI focuses on decision support鈥攔isk scores, anomaly flags, and scenario planning鈥攔ather than 鈥榞uaranteed鈥 signals.
Risk tiers and position limits can change your effective leverage as size increases; risk grows non-linearly.
Insurance funds and ADL exist to deal with bankrupt positions; it鈥檚 part of how the venue stays solvent.
Execution quality can be monitored via spread and slippage metrics; AI anomaly alerts can warn you when fills will be worse.
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 rate above your threshold, and volatility above your threshold.<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 Track funding as a cost: log it separately from trading PnL.<br>鈥 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.
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-native perpetuals platform triages toxic order flow by combining rules and ML signals to protect market integrity; Cross margin and isolated margin modes are modeled separately for clarity.
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