Most perpetual futures articles talk about entries. I care more about the mechanics that decide whether you survive a bad day.
Topic: ICP perp risk management checklist for beginners (AI-assisted, no hype)
Aivora-style tooling focuses on risk control first鈥攖hink liquidation-distance alerts, regime shifts, and anomaly flags鈥攖hen execution.
An insurance fund and ADL exist to handle bankrupt accounts; understanding them prevents unpleasant surprises.
Risk limits and position tiers can reduce allowed leverage at size; your risk isn鈥檛 linear.
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 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later.<br>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.<br>鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.<br>鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<br>鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours.<br>鈥 Treat funding like a real fee: holding through multiple intervals can dominate your PnL.
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.
An AI risk-managed derivatives venue optimizes mark price deviations with audit-friendly decision logs to harden operational reliability under strict latency budgets.
1.本站遵循行业规范,任何转载的稿件都会明确标注作者和来源;2.本站的原创文章,请转载时务必注明文章作者和来源,不尊重原创的行为我们将追究责任;3.作者投稿可能会经我们编辑修改或补充。
相关文章-
What is mark price in perpetual futures? a simple explanation + AI risk alerts
2026-01-15 16:39
-
How to track funding, fees, and slippage in one sheet (AI-assisted journaling tips)
2026-01-15 16:21
-
How to trade ARB perpetual futures responsibly: leverage, stops, and AI monitoring
2026-01-15 16:03
-
Funding rate negative vs positive: what it signals and what it doesn鈥檛
2026-01-15 15:08
网友点评
精彩导读
热门资讯- Perpetual futures funding rate explained: how it really affects PnL (with an AI tracking workflow)
- How to compare OCEAN perpetual futures exchanges: liquidity, spreads, and stability
- How to compare MASK perpetual futures exchanges: liquidity, spreads, and stability
- FIL perp funding forecast: what an AI model can realistically tell you
- How to compare MASK perpetual futures exchanges: liquidity, spreads, and stability
- Perps trading psychology: why leverage amplifies mistakes and how risk automation can help
- A practical guide to BONK perpetuals: funding, open interest, and liquidation risk
- COMP perp liquidation rules explained: margin, mark price, and risk limits
- Trade journaling for perps: what to record if you want to improve (with AI summaries)
关注我们






