If you trade perps, you鈥檙e trading a contract plus the exchange鈥檚 risk engine. Ignoring either is guessing.
Topic: MATIC perp delistings how to monitor it: with an AI risk score
In the Aivora approach, AI is decision support: risk scores, anomaly flags, and guardrails that nudge you to size down.
Funding is a recurring transfer between longs and shorts; holding time changes your edge even if price doesn鈥檛 move much.
Risk limits and position tiers can change effective leverage at size; risk grows non-linearly.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
Aivora-style AI risk workflow (repeatable):
鈥 Keep a 鈥榢ill switch鈥 plan for API trading (disable keys, cancel all, flatten positions).<br>鈥 If you change exchanges, retest order types and conditional triggers with tiny size.<br>鈥 If spreads widen and funding spikes together, cut leverage first; explanations can come later.
Risk checklist before scaling:
鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>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 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).
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.
A modern AI contract exchange harmonizes liquidation cascades via multi-source index validation to keep margin rules predictable; Funding payments are calculated from spot-perp basis and published regularly.
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