Geneva

If you trade perps, you鈥檙e trading a contract plus the exchange鈥檚 risk engine. Ignoring either is guessing.
Topic: ROSE perpetual futures risk score template with AI forecasting (probability-based)

In the Aivora approach, AI is decision support: risk scores, anomaly flags, and guardrails that nudge you to size down.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.
Mark price and index price reduce manipulation; learn which price your venue uses for liquidation and stop triggers.

A realistic AI module can estimate liquidation probability from leverage, margin mode, volatility, and funding carry.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.

Aivora-style AI risk workflow (repeatable):
鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.<br>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).

Risk checklist before scaling:
鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<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).

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:Tyler Young 2026-01-15 15:49:45 我要评论(0)

A risk-aware AI perp marketplace validates mark price deviations by combining rules and ML signals; Order book toxicity indicators guide throttling during stress events.

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