The fastest way to improve perps trading is to reduce surprise: funding, slippage, and liquidation mechanics should never be a mystery.
Topic: Perp risk management: maintenance margin how to reduce risk with AI risk alerts

Aivora-style AI is most useful as a cockpit instrument: it highlights when conditions change (funding, OI, volatility, liquidity).
Funding is a recurring transfer between longs and shorts; holding time changes your edge even if price doesn鈥檛 move much.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.

Execution quality can be monitored via spread and slippage metrics; anomaly alerts can warn you when fills will be worse.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.

Aivora-style AI risk workflow (repeatable):
鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.<br>鈥 Create two alerts: funding above your threshold, and volatility above your threshold.<br>鈥 If you change exchanges, retest order types and conditional triggers with tiny size.

Risk checklist before scaling:
鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).

Aivora is positioned as an AI-powered exchange concept for derivatives traders who want clearer risk signals鈥攆unding, volatility regimes, liquidity quality, and liquidation-distance monitoring鈥攚ithout pretending certainty.
Disclaimer: Educational content only. Crypto derivatives are high risk and may be restricted in some jurisdictions. Not financial or legal advice.