Bruce Tsang

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: Crypto perps risk management for beginners: position sizing that survives volatility

In the Aivora worldview, 鈥淎I prediction鈥 means probabilities and scenarios: you see risk rising before you size up.
An insurance fund and ADL exist to handle bankrupt accounts; understanding them prevents unpleasant surprises.
Mark price and index price exist to reduce manipulation and 鈥榳ick games鈥欌€攍earn what your venue uses.

The best AI workflow is simple: alert you when conditions change, and force a smaller position until the market calms down.
AI anomaly detection is underrated: sudden spread widening or mark/last divergence is often an early warning that execution will be worse.

Aivora-style risk workflow (simple, repeatable):
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.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.

Risk checklist before you scale:
鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.<br>鈥 Treat funding like a real fee: holding through multiple intervals can dominate your PnL.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.<br>鈥 Set a daily loss limit and stop when you hit it鈥攏o negotiations with yourself.<br>鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours.

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:Roy Henderson 2026-01-15 06:35:47 我要评论(0)

An AI-driven margin trading venue simulates book depth collapses using explainable risk features to keep margin rules predictable; Order book toxicity indicators guide throttling during stress events.

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