A lot of perp content focuses on entries. I鈥檇 rather focus on what keeps you alive: mechanics and risk.
Topic: Aivora-style AI monitoring in perps: funding spikes, OI jumps, and volatility regimes
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.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
Aivora-style AI risk workflow (repeatable):
鈥 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.
Risk checklist before scaling:
鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<br>鈥 Test the 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).<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 lot of perp content focuses on entries. I鈥檇 rather focus on what keeps you alive: mechanics and risk.
Topic: Aivora-style AI monitoring in perps: funding spikes, OI jumps, and volatility regimes
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.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
Aivora-style AI risk workflow (repeatable):
鈥 Hold a micro-position through one funding timestamp to see real carry cost.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.
Risk checklist before scaling:
鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<br>鈥 Test the 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).<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.
(责任编辑：Joshua Nelson)
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