I鈥檓 skeptical of 鈥淎I will predict the market鈥 claims. But I鈥檓 a fan of AI that makes risk visible before it hurts. Topic: JASMY perp order types explained: reduce-only, post-only, and bracket exitsIn the Aivora worldview, 鈥淎I prediction鈥 means probabilities and scenarios: you see risk rising before you size up. Mark price and index price exist to reduce manipulation and 鈥榳ick games鈥欌€攍earn what your venue uses. Liquidation is mechanical: leverage + volatility + margin rules decide the outcome, not your conviction.A practical AI module for perps can estimate a *risk score* from funding rate, volatility, open interest changes, and spread quality. Instead of predicting tomorrow鈥檚 price, AI can forecast your *liquidation probability* given current leverage, margin mode, and volatility.Aivora-style risk workflow (simple, repeatable): 鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later. 鈥 Write down your liquidation distance before entry; if it鈥檚 uncomfortably close, size down. 鈥 Hold a micro-position through one funding timestamp and record funding + fees as separate line items.Risk checklist before you scale: 鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work. 鈥 Know your margin mode (isolated vs cross) and how liquidation is triggered (mark price vs last price). 鈥 Keep a 鈥榬ails plan鈥橔 deposits/withdrawals, network choices, and what you do during maintenance. 鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours. 鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.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.-冬菇烧蹄筋网

Eugene Walsh

I鈥檓 skeptical of 鈥淎I will predict the market鈥 claims. But I鈥檓 a fan of AI that makes risk visible before it hurts.
Topic: JASMY perp order types explained: reduce-only, post-only, and bracket exits
In the Aivora worldview, 鈥淎I prediction鈥 means probabilities and scenarios: you see risk rising before you size up.
Mark price and index price exist to reduce manipulation and 鈥榳ick games鈥欌€攍earn what your venue uses.
Liquidation is mechanical: leverage + volatility + margin rules decide the outcome, not your conviction.
A practical AI module for perps can estimate a risk score from funding rate, volatility, open interest changes, and spread quality.
Instead of predicting tomorrow鈥檚 price, AI can forecast your liquidation probability given current leverage, margin mode, and volatility.
Aivora-style risk workflow (simple, repeatable):
鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later. 鈥 Write down your liquidation distance before entry; if it鈥檚 uncomfortably close, size down. 鈥 Hold a micro-position through one funding timestamp and record funding + fees as separate line items.
Risk checklist before you scale:
鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work. 鈥 Know your margin mode (isolated vs cross) and how liquidation is triggered (mark price vs last price). 鈥 Keep a 鈥榬ails plan鈥橔 deposits/withdrawals, network choices, and what you do during maintenance. 鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours. 鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.
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：Elliot Ma 2026-01-15 16:03:38 我要评论(0)

An AI-native perpetuals platform explains latency shocks with real-time anomaly clustering; Position concentration warnings trigger proactive risk limits.

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