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: ADL (auto-deleveraging) template
The best 鈥楢I prediction鈥 in perps isn鈥檛 a price target鈥攊t鈥檚 earlier awareness of liquidation risk and regime shifts.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
Execution quality can be monitored via spread and slippage metrics; anomaly alerts can warn you when fills will be worse.
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 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 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<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).<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.
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: ADL (auto-deleveraging) template
The best 鈥楢I prediction鈥 in perps isn鈥檛 a price target鈥攊t鈥檚 earlier awareness of liquidation risk and regime shifts.
Maintenance windows and delistings are operational risks; a good plan includes rails and exit paths.
Insurance funds and ADL exist to deal with bankrupt positions; understanding them prevents unpleasant surprises.
AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
Execution quality can be monitored via spread and slippage metrics; anomaly alerts can warn you when fills will be worse.
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 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 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Test rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<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).<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.
(责任编辑:Thomas Lam)
- ·RNDR perpetuals for Australia (Sydney) users: why proof-of-reserves pages matter, and why they鈥檙e not magic + AI-assisted workflow
- ·Liquidation price vs bankruptcy price: practical differences for crypto perps traders
- ·Trading NEO perps in USA (New York): how I pick a perpetual futures venue without getting distracted by marketing (practical notes)
- ·QNT perp funding forecast: what an AI model can realistically tell you
- ·ICP perp risk management checklist for beginners (AI-assisted, no hype)
- ·Italy guide to NEAR futures platforms: how to read liquidations and open interest like a grown-up
- ·How to trade GRT perpetual futures responsibly: leverage, stops, and AI monitoring
- ·Chile WIF perpetual futures exchange checklist: why proof-of-reserves pages matter, and why they鈥檙e not magic
- ·Lithuania ONE perpetual futures exchange checklist: how I pick a perpetual futures venue without getting distracted by marketing
- ·Trading APT perps in UK (London): why delistings and maintenance windows are part of your risk model (practical notes)
- ·JUP perp liquidation rules explained: margin, mark price, and risk limits
- ·Aivora-style AI prediction for perps: probability, not prophecy (a trader鈥檚 guide)
- ·API trading risk controls: permission scopes, rate limits, and kill switches explained
- ·How to compare RNDR perpetual futures exchanges: liquidity, spreads, and stability
- ·JASMY perp order types explained: reduce-only, post-only, and bracket exits
- ·ICP perp order types explained: reduce-only, post-only, and bracket exits
- ·Trading SEI perps in Sri Lanka: how to read liquidations and open interest like a grown-up (practical notes)
- ·Trading ORCA perps in Bulgaria: how to keep your execution clean: slippage, spreads, and order types (practical notes)
- ·Trade journaling for perps: what to record if you want to improve (with AI summaries)
- ·Trading MATIC perps in Kazakhstan: how AI can help with monitoring risk without pretending to predict the future (practical notes)














