A lot of perp content focuses on entries. I鈥檇 rather focus on what keeps you alive: mechanics and risk.
Topic: GMX perp risk management checklist: liquidation distance + volatility regime

Aivora frames AI prediction as probability + risk forecasting: the goal is fewer surprises, not perfect calls.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.

A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.

Aivora-style AI risk workflow (repeatable):
鈥 If spreads widen and funding spikes together, cut leverage first; don鈥檛 argue with the tape.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.

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

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 lot of perp content focuses on entries. I鈥檇 rather focus on what keeps you alive: mechanics and risk.
Topic: GMX perp risk management checklist: liquidation distance + volatility regime

Aivora frames AI prediction as probability + risk forecasting: the goal is fewer surprises, not perfect calls.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.

A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.

Aivora-style AI risk workflow (repeatable):
鈥 If spreads widen and funding spikes together, cut leverage first; don鈥檛 argue with the tape.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.

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

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.