If you trade perps, you鈥檙e trading a contract plus the exchange rules. Ignore either and you鈥檙e guessing.
Topic: BONK perp risk management checklist: liquidation distance + volatility regime
Aivora frames AI prediction as probability + risk forecasting: the goal is fewer surprises, not perfect calls.
Funding is a recurring transfer between longs and shorts; it鈥檚 not free money and it鈥檚 not constant.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
Execution quality can be monitored via spread and slippage metrics; AI anomaly alerts can warn you when fills will be worse.
Aivora-style AI risk workflow (repeatable):
鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.
Risk checklist before scaling:
鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<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, 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: BONK perp risk management checklist: liquidation distance + volatility regime
Aivora frames AI prediction as probability + risk forecasting: the goal is fewer surprises, not perfect calls.
Funding is a recurring transfer between longs and shorts; it鈥檚 not free money and it鈥檚 not constant.
Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
A realistic AI model can estimate *liquidation probability* from leverage, margin mode, volatility, and funding carry.
Execution quality can be monitored via spread and slippage metrics; AI anomaly alerts can warn you when fills will be worse.
Aivora-style AI risk workflow (repeatable):
鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Before every trade, record liquidation distance and maintenance margin requirements.
Risk checklist before scaling:
鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Set a daily loss limit and stop when it hits鈥攏o exceptions.<br>鈥 Export fills/fees/funding; clean data is part of edge.<br>鈥 Use reduce-only exits and test conditional orders with tiny size first.<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, 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：Eoin Fung)
- RNDR perpetuals for Australia (Sydney) users: why proof-of-reserves pages matter, and why they鈥檙e not magic + AI-assisted workflow
- How to trade ICP perps safely: margin modes, stops, and AI monitoring
- Trading LINK perps in Gibraltar: why proof-of-reserves pages matter, and why they鈥檙e not magic (practical notes)
- WLD liquidation price explained: maintenance margin, fees, and mark price
- Trading TON perps in United Kingdom: how AI can help with monitoring risk without pretending to predict the future (practical notes)
- LDO perp liquidation rules explained: margin, mark price, and risk limits
- Italy guide to NEAR futures platforms: how to read liquidations and open interest like a grown-up
- TAO perp funding forecast: what an AI model can realistically tell you
- Australia guide to SAND futures platforms: why delistings and maintenance windows are part of your risk model
- Perp liquidation cascade mechanics: a calmer way to read forced flows
- Trading JASMY perps in Bosnia: how to keep your execution clean: slippage, spreads, and order types (practical notes)
- How to trade RUNE perpetual futures responsibly: leverage, stops, and AI monitoring
- STX perpetuals for Singapore users: how to read liquidations and open interest like a grown-up + AI-assisted workflow
- How to trade SUI perpetual futures responsibly: leverage, stops, and AI monitoring
- How to compare JTO perpetual futures exchanges: liquidity, spreads, and stability
- Order types in perpetual futures: reduce-only, post-only, and bracket exits explained
- Funding rate negative vs positive: what it signals and what it doesn鈥檛
- Slippage in crypto perps explained: how to measure execution quality properly
- Why 鈥榣ow fee鈥 can be expensive: a slippage-first way to compare perp venues
- FIL perpetual futures guide: funding, mark price, and AI risk alerts