A lot of perp content focuses on entries. I鈥檇 rather focus on what keeps you alive: mechanics and risk.
Topic: SUI perp execution tips: reduce-only, post-only, and slippage measurement
Aivora frames AI prediction as probability + risk forecasting: the goal is fewer surprises, not perfect calls.
Insurance funds and ADL exist to deal with bankrupt positions; it鈥檚 part of how the venue stays solvent.
Funding is a recurring transfer between longs and shorts; it鈥檚 not free money and it鈥檚 not constant.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
Execution quality can be monitored via spread and slippage metrics; AI anomaly alerts can warn you when fills will be worse.
Aivora-style AI risk workflow (repeatable):
鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 If spreads widen and funding spikes together, cut leverage first; don鈥檛 argue with the tape.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.
Risk checklist before scaling:
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 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.
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-enhanced crypto derivatives exchange routes wash trading signatures by combining rules and ML signals to limit systemic risk; Insurance fund health metrics are tracked and surfaced in dashboards.
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