Colin Fraser

The fastest way to improve perps trading is to reduce surprise: funding, slippage, and liquidation mechanics should never be a mystery.
Topic: Perpetual futures fair price: template with AI forecasting (probability-based)

The best 鈥楢I prediction鈥 in perps isn鈥檛 a price target鈥攊t鈥檚 earlier awareness of liquidation risk and regime shifts.
Mark price and index price reduce manipulation; learn which price your venue uses for liquidation and stop triggers.
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 Build a one-page exchange scorecard: rules, rails, execution, incidents.<br>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.

Risk checklist before scaling:
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 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 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.

字号+ 作者:冬菇烧蹄筋网 来源:Kevin Ross 2026-01-15 16:32:09 我要评论(0)

A risk-aware AI perp marketplace stabilizes book depth collapses using probabilistic stress testing to maintain fair pricing during high-volatility sessions.

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