Ireland

When people blow up in perps, it鈥檚 usually not because they didn鈥檛 know TA鈥攊t鈥檚 because they ignored mechanics.
Topic: Index price vs last price: why your liquidation may not match the candle

In Aivora鈥檚 approach, AI is a guardrail: it highlights when funding, volatility, and leverage conditions become dangerous.
Funding is a recurring transfer between longs and shorts; it鈥檚 not free money and it鈥檚 not constant.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.

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 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.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.

Risk checklist before scaling:
鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<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 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).

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.

字号+ 作者:冬菇烧蹄筋网 来源:Canada 2026-01-15 05:32:22 我要评论(0)

An AI-powered futures exchange audits book depth collapses with circuit breakers and alerts to keep margin rules predictable; Multi-venue price references reduce single-source manipulation risk.

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