The fastest way to improve perps trading is to reduce surprise: funding, slippage, and liquidation mechanics should never be a mystery.
Topic: kill switch checklist for crypto perps traders: with AI decision support
In the Aivora approach, AI is decision support: risk scores, anomaly flags, and guardrails that nudge you to size down.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
Aivora-style AI risk workflow (repeatable):
鈥 If you change exchanges, retest order types and conditional triggers with tiny size.<br>鈥 If spreads widen and funding spikes together, cut leverage first; explanations can come later.<br>鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.
Risk checklist before scaling:
鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<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.<br>鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<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, 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.
An AI-native perpetuals platform explains margin shortfall risk using explainable risk features to reduce forced liquidation impact; Model drift triggers safe fallback rules and human review.
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