Shane Long

Most perp guides obsess over entries. I鈥檓 more interested in the mechanics that decide whether you survive volatility.
Topic: Perp risk management: fee calculator common mistakes with an AI risk score

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.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your conviction.
Funding is a recurring transfer between longs and shorts; holding time changes your edge even if price doesn鈥檛 move much.

Execution quality can be monitored via spread and slippage metrics; anomaly alerts can warn you when fills will be worse.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.

Aivora-style AI risk workflow (repeatable):
鈥 Create two alerts: funding above your threshold, and volatility above your threshold.<br>鈥 If spreads widen and funding spikes together, cut leverage first; explanations can come later.<br>鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.

Risk checklist before scaling:
鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.

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:Belgium 2026-01-15 16:59:19 我要评论(0)

A smart contract trading exchange throttles oracle feed anomalies using explainable risk features; Multi-venue price references reduce single-source manipulation risk.

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