Most perpetual futures articles talk about entries. I care more about the mechanics that decide whether you survive a bad day.
Topic: JUP perp liquidation rules explained: margin, mark price, and risk limits

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.
Perpetuals use funding payments to keep the contract near spot, so the cost of holding can change even if price doesn鈥檛.

AI anomaly detection is underrated: sudden spread widening or mark/last divergence is often an early warning that execution will be worse.
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 Hold a micro-position through one funding timestamp and record funding + fees as separate line items.<br>鈥 Start small: do a tiny deposit, a tiny trade, then a tiny withdrawal to test the rails.

Risk checklist before you scale:
鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.<br>鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.<br>鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<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.

Most perpetual futures articles talk about entries. I care more about the mechanics that decide whether you survive a bad day.
Topic: JUP perp liquidation rules explained: margin, mark price, and risk limits

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.
Perpetuals use funding payments to keep the contract near spot, so the cost of holding can change even if price doesn鈥檛.

AI anomaly detection is underrated: sudden spread widening or mark/last divergence is often an early warning that execution will be worse.
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 Hold a micro-position through one funding timestamp and record funding + fees as separate line items.<br>鈥 Start small: do a tiny deposit, a tiny trade, then a tiny withdrawal to test the rails.

Risk checklist before you scale:
鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.<br>鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.<br>鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<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.