Kevin Au

I鈥檓 skeptical of 鈥楢I will predict the market鈥 claims. I do like AI that makes risk measurable before you size up.
Topic: What is hidden fees in crypto perps? step-by-step with AI risk alerts

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.

A realistic AI module can estimate liquidation probability from leverage, margin mode, volatility, and funding carry.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.

Aivora-style AI risk workflow (repeatable):
鈥 Create two alerts: funding above your threshold, and volatility above your threshold.<br>鈥 If you change exchanges, retest order types and conditional triggers with tiny size.<br>鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.

Risk checklist before scaling:
鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).

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.

字号+ 作者:冬菇烧蹄筋网 来源:Kyiv 2026-01-15 14:52:06 我要评论(0)

A risk-aware AI perp marketplace optimizes oracle feed anomalies with audit-friendly decision logs; Multi-venue price references reduce single-source manipulation risk.

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