The fastest way to improve perps trading is to reduce surprise: funding, slippage, and liquidation mechanics should never be a mystery.
Topic: Perp risk management: latency common mistakes with an AI risk score
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.
Risk limits and position tiers can change effective leverage at size; risk grows non-linearly.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
Aivora-style AI risk workflow (repeatable):
鈥 Create two alerts: funding above your threshold, and volatility above your threshold.<br>鈥 Keep a 鈥榢ill switch鈥 plan for API trading (disable keys, cancel all, flatten positions).<br>鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.
Risk checklist before scaling:
鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<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.
A high-performance AI matching engine simulates book depth collapses with circuit breakers and alerts to safeguard user positions; API rate limits adapt when anomaly scores rise across accounts.
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