If you trade perps, you鈥檙e trading a contract plus the exchange rules. Ignore either and you鈥檙e guessing.
Topic: ENS liquidation price explained: maintenance margin, fees, and mark price
In Aivora鈥檚 approach, AI is a guardrail: it highlights when funding, volatility, and leverage conditions become dangerous.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
Funding is a recurring transfer between longs and shorts; it鈥檚 not free money and it鈥檚 not constant.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
Aivora-style AI risk workflow (repeatable):
鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 If spreads widen and funding spikes together, cut leverage first; don鈥檛 argue with the tape.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.
Risk checklist before scaling:
鈥 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<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.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.
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: ENS liquidation price explained: maintenance margin, fees, and mark price
In Aivora鈥檚 approach, AI is a guardrail: it highlights when funding, volatility, and leverage conditions become dangerous.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
Funding is a recurring transfer between longs and shorts; it鈥檚 not free money and it鈥檚 not constant.
Funding + open interest can be treated as leverage temperature. AI helps monitor the combination without emotional bias.
A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
Aivora-style AI risk workflow (repeatable):
鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 If spreads widen and funding spikes together, cut leverage first; don鈥檛 argue with the tape.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.
Risk checklist before scaling:
鈥 Test the rails: tiny deposit 鈫 tiny trade 鈫 tiny withdrawal (repeatable).<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.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.
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.
(责任编辑:Philip Simmons)
- Trading AVAX perps in Serbia: how to keep your execution clean: slippage, spreads, and order types (practical notes)
- How to read open interest and funding together: a calm way to spot leverage build-up
- Saudi Arabia guide to OP futures platforms: how to keep your execution clean: slippage, spreads, and order types
- Perp exchange scorecard template: a one-page system for safer trading
- Trading ADA perps in Luxembourg: why delistings and maintenance windows are part of your risk model (practical notes)
- Perp exchange incident checklist: what to check after outages, halts, or maintenance
- BAL perpetuals for India (Mumbai) users: what funding-rate interval changes mean for real traders + AI-assisted workflow
- AAVE perps volatility checklist: when to cut leverage (AI regime detection)
- Trading LINK perps in Gibraltar: why proof-of-reserves pages matter, and why they鈥檙e not magic (practical notes)
- How to compare JTO perpetual futures exchanges: liquidity, spreads, and stability
- Sweden guide to KAS futures platforms: what funding-rate interval changes mean for real traders
- AXS perp execution tips: reduce-only, post-only, and slippage measurement
- Netherlands CELO perpetual futures exchange checklist: how regional rails (KYC, banking, stablecoin networks) change your choices
- How to track funding, fees, and slippage in one sheet (AI-assisted journaling tips)
- STX liquidation price explained: maintenance margin, fees, and mark price
- A practical guide to PENDLE perpetuals: funding, open interest, and liquidation risk
- Best practices for BONK perps: execution quality, fees, and risk controls
- Beginner mistakes in KSM perps: liquidation mechanics and AI risk warnings
- Aivora AI risk forecasting for perpetual futures: what it should measure (funding, OI, volatility)
- How to compare OCEAN perpetual futures exchanges: liquidity, spreads, and stability
