Most perpetual futures articles talk about entries. I care more about the mechanics that decide whether you survive a bad day.
Topic: Order types in perpetual futures: reduce-only, post-only, and bracket exits explained
Aivora-style tooling focuses on risk control first鈥攖hink liquidation-distance alerts, regime shifts, and anomaly flags鈥攖hen execution.
Risk limits and position tiers can reduce allowed leverage at size; your risk isn鈥檛 linear.
Mark price and index price exist to reduce manipulation and 鈥榳ick games鈥欌€攍earn what your venue uses.
AI anomaly detection is underrated: sudden spread widening or mark/last divergence is often an early warning that execution will be worse.
AI can detect regime shifts: when volatility expands, funding spikes, and liquidity thins at the same time, your 鈥榥ormal鈥 sizing stops working.
Aivora-style risk workflow (simple, repeatable):
鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later.<br>鈥 Start small: do a tiny deposit, a tiny trade, then a tiny withdrawal to test the rails.<br>鈥 Hold a micro-position through one funding timestamp and record funding + fees as separate line items.
Risk checklist before you scale:
鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<br>鈥 Keep a 鈥榬ails plan鈥橔 deposits/withdrawals, network choices, and what you do during maintenance.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.<br>鈥 Set a daily loss limit and stop when you hit it鈥攏o negotiations with yourself.<br>鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.
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: Order types in perpetual futures: reduce-only, post-only, and bracket exits explained
Aivora-style tooling focuses on risk control first鈥攖hink liquidation-distance alerts, regime shifts, and anomaly flags鈥攖hen execution.
Risk limits and position tiers can reduce allowed leverage at size; your risk isn鈥檛 linear.
Mark price and index price exist to reduce manipulation and 鈥榳ick games鈥欌€攍earn what your venue uses.
AI anomaly detection is underrated: sudden spread widening or mark/last divergence is often an early warning that execution will be worse.
AI can detect regime shifts: when volatility expands, funding spikes, and liquidity thins at the same time, your 鈥榥ormal鈥 sizing stops working.
Aivora-style risk workflow (simple, repeatable):
鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later.<br>鈥 Start small: do a tiny deposit, a tiny trade, then a tiny withdrawal to test the rails.<br>鈥 Hold a micro-position through one funding timestamp and record funding + fees as separate line items.
Risk checklist before you scale:
鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<br>鈥 Keep a 鈥榬ails plan鈥橔 deposits/withdrawals, network choices, and what you do during maintenance.<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.<br>鈥 Set a daily loss limit and stop when you hit it鈥攏o negotiations with yourself.<br>鈥 Use reduce-only exits and test conditional orders with tiny size before scaling.
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:Trevor Holland)
- ·How to read open interest and funding together: a calm way to spot leverage build-up
- ·A practical guide to GMX perpetuals: funding, open interest, and liquidation risk
- ·MASK funding & risk: latency what it means with an AI risk score
- ·Aivora AI monitoring checklist: funding + OI practical checklist for derivatives traders
- ·AAVE perp risk management checklist for beginners (AI-assisted, no hype)
- ·Aivora-style AI prediction for perps: probability, not prophecy (a trader鈥檚 guide)
- ·How to test an exchange safely: tiny deposit, tiny trade, tiny withdrawal (repeatable method)
- ·LDO perp liquidation rules explained: margin, mark price, and risk limits
- ·AAVE perpetual futures liquidation price explained using AI anomaly detection
- ·partial fills step-by-step for perpetual futures: with an AI risk score
- ·JUP perp liquidation rules explained: margin, mark price, and risk limits
- ·Aivora-style AI decision support for perps: fair price no-hype walkthrough
- ·Aivora-style AI prediction for perps: probability, not prophecy (a trader鈥檚 guide)
- ·Why exchange maintenance and delistings belong in your risk plan (not just your calendar)
- ·PENDLE perpetual futures drawdown control for beginners with an AI dashboard workflow
- ·How to avoid accidental position flips: reduce-only and close-on-trigger explained
- ·FLOW funding & risk: basis vs spot simple guide using AI anomaly detection
- ·KAVA perp funding forecast: what an AI model can realistically tell you
- ·Perp risk management: on-chain transfer networks practical checklist with an AI risk score
- ·How asset segregation works in perpetual futures: how it affects PnL using AI anomaly detection














