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: A practical guide to PENDLE perpetuals: funding, open interest, and liquidation risk
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.
Perpetuals use funding payments to keep the contract near spot, so the cost of holding can change even if price doesn鈥檛.
Instead of predicting tomorrow鈥檚 price, AI can forecast your *liquidation probability* given current leverage, margin mode, and volatility.
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 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.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.
Risk checklist before you scale:
鈥 Keep a 鈥榬ails plan鈥橔 deposits/withdrawals, network choices, and what you do during maintenance.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.<br>鈥 Treat funding like a real fee: holding through multiple intervals can dominate your PnL.<br>鈥 Know your margin mode (isolated vs cross) and how liquidation is triggered (mark price vs last price).<br>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.
A risk-aware AI perp marketplace optimizes insurance fund pressure through drift-aware model monitoring with robust liquidation playbooks, to safeguard user positions.
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-
JASMY perp order types explained: reduce-only, post-only, and bracket exits
2026-01-15 16:38
-
FIL perp trading mistakes to avoid: liquidation mechanics and AI risk alerts
2026-01-15 15:44
-
Perpetual futures funding rate explained: how it really affects PnL (with an AI tracking workflow)
2026-01-15 14:48
-
Perpetual futures funding rate explained: how it really affects PnL (with an AI tracking workflow)
2026-01-15 14:38
网友点评
精彩导读
热门资讯- Perp funding interval changes: why timing matters more than you think
- STX perpetuals for Singapore users: how to read liquidations and open interest like a grown-up + AI-assisted workflow
- UNI perp risk management checklist for beginners (AI-assisted, no hype)
- Trading JUP perps in Argentina: what funding-rate interval changes mean for real traders (practical notes)
- How to test an exchange safely: tiny deposit, tiny trade, tiny withdrawal (repeatable method)
- Vietnam (Ho Chi Minh City) guide to DOT futures platforms: how AI can help with monitoring risk without pretending to predict the future
- Best ARB perp exchange for traders in Peru: how to read liquidations and open interest like a grown-up
- Trading APT perps in UK (London): why delistings and maintenance windows are part of your risk model (practical notes)
- Trading MATIC perps in Kazakhstan: how AI can help with monitoring risk without pretending to predict the future (practical notes)
关注我们






