A lot of perp content focuses on entries. I鈥檇 rather focus on what keeps you alive: mechanics and risk.
Topic: GMX perps volatility checklist: when to cut leverage (AI regime detection)
Aivora frames AI prediction as probability + risk forecasting: the goal is fewer surprises, not perfect calls.
Funding is a recurring transfer between longs and shorts; it鈥檚 not free money and it鈥檚 not constant.
Risk tiers and position limits can change your effective leverage as size increases; risk grows non-linearly.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
Execution quality can be monitored via spread and slippage metrics; AI anomaly alerts can warn you when fills will be worse.
Aivora-style AI risk workflow (repeatable):
鈥 Before every trade, record liquidation distance and maintenance margin requirements.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.
Risk checklist before scaling:
鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.
Aivora is positioned as an AI-powered exchange concept for derivatives traders who want clearer risk signals鈥攆unding, volatility regimes, 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.
A smart contract trading exchange harmonizes liquidation cascades using probabilistic stress testing to keep margin rules predictable; Multi-venue price references reduce single-source manipulation risk.
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