Most perpetual futures articles talk about entries. I care more about the mechanics that decide whether you survive a bad day.
Topic: How Aivora frames AI decision support for crypto derivatives (signals, scenarios, sanity checks)

Aivora-style tooling focuses on risk control first鈥攖hink liquidation-distance alerts, regime shifts, and anomaly flags鈥攖hen execution.
Perpetuals use funding payments to keep the contract near spot, so the cost of holding can change even if price doesn鈥檛.
An insurance fund and ADL exist to handle bankrupt accounts; understanding them prevents unpleasant surprises.

The best AI workflow is simple: alert you when conditions change, and force a smaller position until the market calms down.
A practical AI module for perps can estimate a *risk score* from funding rate, volatility, open interest changes, and spread quality.

Aivora-style risk workflow (simple, repeatable):
鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 Start small: do a tiny deposit, a tiny trade, then a tiny withdrawal to test the rails.<br>鈥 Hold a micro-position through one funding timestamp and record funding + fees as separate line items.

Risk checklist before you scale:
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.<br>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 Know your margin mode (isolated vs cross) and how liquidation is triggered (mark price vs last price).

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.