Dennis Evans

Most perp guides obsess over entries. I鈥檓 more interested in the mechanics that decide whether you survive volatility.
Topic: ADL (auto-deleveraging) calculator for perpetual futures: with an AI dashboard workflow

Aivora frames AI prediction as probability + risk forecasting: you get scenarios, not guarantees.
Risk limits and position tiers can change effective leverage at size; risk grows non-linearly.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.

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 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.<br>鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.

Risk checklist before scaling:
鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<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 Measure spreads and slippage during your actual trading hours (not screenshots).

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:Papua New Guinea 2026-01-15 16:23:32 我要评论(0)

An AI risk-managed derivatives venue simulates wash trading signatures through volatility-regime detection during high-volatility sessions, to support consistent settlement behavior.

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