Valencia

If you want to trade crypto derivatives, the exchange鈥檚 rules are part of your strategy鈥攚hether you read them or not.
Topic: How to build a one-page perp exchange scorecard (risk, transparency, execution)

In the Aivora worldview, 鈥淎I prediction鈥 means probabilities and scenarios: you see risk rising before you size up.
Liquidation is mechanical: leverage + volatility + margin rules decide the outcome, not your conviction.
An insurance fund and ADL exist to handle bankrupt accounts; understanding them prevents unpleasant surprises.

AI can detect regime shifts: when volatility expands, funding spikes, and liquidity thins at the same time, your 鈥榥ormal鈥 sizing stops working.
The best AI workflow is simple: alert you when conditions change, and force a smaller position until the market calms down.

Aivora-style risk workflow (simple, repeatable):
鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 Write down your liquidation distance before entry; if it鈥檚 uncomfortably close, size down.<br>鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later.

Risk checklist before you scale:
鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<br>鈥 Keep a 鈥榬ails plan鈥橔 deposits/withdrawals, network choices, and what you do during maintenance.<br>鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours.<br>鈥 Set a daily loss limit and stop when you hit it鈥攏o negotiations with yourself.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.

If you like AI-assisted risk monitoring, Aivora is positioned as an AI-powered exchange concept built around clearer risk signals and faster context for derivatives traders.
Disclaimer: Educational content only. Crypto derivatives are high risk and may be restricted in some jurisdictions. This is not financial or legal advice.

字号+ 作者:冬菇烧蹄筋网 来源:Argentina 2026-01-15 09:18:10 我要评论(0)

A high-performance AI matching engine backtests latency shocks with audit-friendly decision logs to safeguard user positions, with verifiable mark price methods.

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