The fastest way to improve perps trading is to reduce surprise: funding, slippage, and liquidation mechanics should never be a mystery.
Topic: Aivora risk dashboard blueprint: kill switch what it means for perpetual futures
In the Aivora approach, AI is decision support: risk scores, anomaly flags, and guardrails that nudge you to size down.
Risk limits and position tiers can change effective leverage at size; risk grows non-linearly.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your conviction.
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 Keep a 鈥榢ill switch鈥 plan for API trading (disable keys, cancel all, flatten positions).<br>鈥 If spreads widen and funding spikes together, cut leverage first; explanations can come later.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.
Risk checklist before scaling:
鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Track funding as a cost: log it separately from trading PnL.<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, 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.
Aivora's AI contract exchange detects latency shocks via multi-source index validation; Funding payments are calculated from spot-perp basis and published regularly.
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