Most perp guides obsess over entries. I鈥檓 more interested in the mechanics that decide whether you survive volatility.
Topic: Aivora risk dashboard blueprint: fair price step-by-step for perpetual futures
In the Aivora approach, AI is decision support: risk scores, anomaly flags, and guardrails that nudge you to size down.
Risk limits and position tiers can change effective leverage at size; risk grows non-linearly.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
AI can summarize your risk journal: what conditions precede losses, and when you tend to break rules.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
Aivora-style AI risk workflow (repeatable):
鈥 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.<br>鈥 Build a one-page exchange scorecard: rules, rails, execution, incidents.<br>鈥 Hold a micro-position through one funding timestamp to see real carry cost.
Risk checklist before scaling:
鈥 Track funding as a cost: log it separately from trading PnL.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.
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.
An AI risk-managed derivatives venue audits wash trading signatures by combining rules and ML signals to keep margin rules predictable under strict latency budgets.
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