If you trade perps, you鈥檙e trading a contract plus the exchange rules. Ignore either and you鈥檙e guessing.
Topic: BONK perp risk management checklist: liquidation distance + volatility regime

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.
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 Create two alerts: funding rate above your threshold, and volatility above your threshold.<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 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<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.<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.

If you trade perps, you鈥檙e trading a contract plus the exchange rules. Ignore either and you鈥檙e guessing.
Topic: BONK perp risk management checklist: liquidation distance + volatility regime

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.
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 Create two alerts: funding rate above your threshold, and volatility above your threshold.<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 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<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.<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.