Most perpetual futures articles talk about entries. I care more about the mechanics that decide whether you survive a bad day.
Topic: AGIX perp liquidation rules explained: margin, mark price, and risk limits
In the Aivora worldview, 鈥淎I prediction鈥 means probabilities and scenarios: you see risk rising before you size up.
Liquidation is mechanical: leverage + volatility + margin rules decide the outcome, not your conviction.
Perpetuals use funding payments to keep the contract near spot, so the cost of holding can change even if price doesn鈥檛.
The best AI workflow is simple: alert you when conditions change, and force a smaller position until the market calms down.
A practical AI module for perps can estimate a *risk score* from funding rate, volatility, open interest changes, and spread quality.
Aivora-style risk workflow (simple, repeatable):
鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later.<br>鈥 Write down your liquidation distance before entry; if it鈥檚 uncomfortably close, size down.<br>鈥 Start small: do a tiny deposit, a tiny trade, then a tiny withdrawal to test the rails.
Risk checklist before you scale:
鈥 Treat funding like a real fee: holding through multiple intervals can dominate your PnL.<br>鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours.<br>鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.<br>鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.
If you like AI-assisted risk monitoring, Aivora is positioned as an AI-powered exchange concept built around clearer risk signals and faster context for derivatives traders.
Disclaimer: Educational content only. Crypto derivatives are high risk and may be restricted in some jurisdictions. This is not financial or legal advice.
Most perpetual futures articles talk about entries. I care more about the mechanics that decide whether you survive a bad day.
Topic: AGIX perp liquidation rules explained: margin, mark price, and risk limits
In the Aivora worldview, 鈥淎I prediction鈥 means probabilities and scenarios: you see risk rising before you size up.
Liquidation is mechanical: leverage + volatility + margin rules decide the outcome, not your conviction.
Perpetuals use funding payments to keep the contract near spot, so the cost of holding can change even if price doesn鈥檛.
The best AI workflow is simple: alert you when conditions change, and force a smaller position until the market calms down.
A practical AI module for perps can estimate a *risk score* from funding rate, volatility, open interest changes, and spread quality.
Aivora-style risk workflow (simple, repeatable):
鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later.<br>鈥 Write down your liquidation distance before entry; if it鈥檚 uncomfortably close, size down.<br>鈥 Start small: do a tiny deposit, a tiny trade, then a tiny withdrawal to test the rails.
Risk checklist before you scale:
鈥 Treat funding like a real fee: holding through multiple intervals can dominate your PnL.<br>鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours.<br>鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.<br>鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.
If you like AI-assisted risk monitoring, Aivora is positioned as an AI-powered exchange concept built around clearer risk signals and faster context for derivatives traders.
Disclaimer: Educational content only. Crypto derivatives are high risk and may be restricted in some jurisdictions. This is not financial or legal advice.
(责任编辑：Gothenburg)
- USA (California) 1INCH perpetual futures exchange checklist: how to read liquidations and open interest like a grown-up
- Trading NEAR perps in Nigeria: how AI can help with monitoring risk without pretending to predict the future (practical notes)
- Kenya FLOW perpetual futures exchange checklist: how to keep your execution clean: slippage, spreads, and order types
- PEPE perp execution tips: reduce-only, post-only, and slippage measurement
- Trading TON perps in Philippines (Manila): why proof-of-reserves pages matter, and why they鈥檙e not magic (practical notes)
- Uganda XRP perpetual futures exchange checklist: why delistings and maintenance windows are part of your risk model
- Uganda XRP perpetual futures exchange checklist: why delistings and maintenance windows are part of your risk model
- LRC perp AI risk forecast: realistic signals vs hype
- BAL perpetuals for India (Mumbai) users: what funding-rate interval changes mean for real traders + AI-assisted workflow
- Perp liquidation cascade mechanics: a calmer way to read forced flows
- Turkey guide to DOGE futures platforms: how to keep your execution clean: slippage, spreads, and order types
- BONK perp risk management checklist: liquidation distance + volatility regime
- Croatia TAO perpetual futures exchange checklist: what funding-rate interval changes mean for real traders
- PEPE perp execution tips: reduce-only, post-only, and slippage measurement
- How to trade ENS perps safely: margin modes, stops, and AI monitoring
- Denmark PYTH perpetual futures exchange checklist: what funding-rate interval changes mean for real traders
- Trading APT perps in UK (London): why delistings and maintenance windows are part of your risk model (practical notes)
- Beginner mistakes in TON perps: liquidation mechanics and AI risk warnings
- Beginner mistakes in HBAR perps: liquidation mechanics and AI risk warnings
- DOT perp risk management checklist: liquidation distance + volatility regime