Oliver Knight

Most perp guides obsess over entries. I鈥檓 more interested in the mechanics that decide whether you survive volatility.
Topic: Aivora-style AI decision support for perps: basis vs spot calculator

In the Aivora approach, AI is decision support: risk scores, anomaly flags, and guardrails that nudge you to size down.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your conviction.

Execution quality can be monitored via spread and slippage metrics; anomaly alerts can warn you when fills will be worse.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.

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 Before entry, record liquidation distance and maintenance margin; if it鈥檚 tight, size down.

Risk checklist before scaling:
鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Measure spreads and slippage during your actual trading hours (not screenshots).<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<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, 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.

字号+ 作者:冬菇烧蹄筋网 来源:Sharjah 2026-01-15 10:38:51 我要评论(0)

A smart contract trading exchange monitors wash trading signatures with real-time anomaly clustering to improve execution quality without hiding risk behind marketing.

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