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:Christchurch)
- ·ICP perp AI risk forecast: realistic signals vs hype
- ·Beginner mistakes in LDO perps: liquidation mechanics and AI risk warnings
- ·XRP perp AI risk forecast: realistic signals vs hype
- ·Beginner mistakes in KSM perps: liquidation mechanics and AI risk warnings
- ·API permissions practical checklist for perpetual futures: with an AI risk score
- ·ATOM perp exchange comparison: mark price what it means with an AI risk score
- ·Aivora AI risk forecasting: ADL (auto-deleveraging) how it affects PnL
- ·INJ perp funding rate explained: carry cost, timing, and AI tracking
- ·Aivora AI prediction for perps: rate limits best practices (probability, not prophecy)
- ·PEPE perps risk checklist: initial margin template with AI forecasting (probability-based)
- ·Perpetual futures insurance fund: rules you should know with an AI risk score
- ·ALGO perp funding rate explained: carry cost, timing, and AI tracking
- ·SOL perp AI risk forecast: realistic signals vs hype
- ·How to trade FTM perps responsibly: position tiers calculator with an AI risk score
- ·kill switch checklist for crypto perps traders: with an AI risk score
- ·ROSE perpetual futures guide: funding, mark price, and AI risk alerts
- ·AXS perp funding rate explained: carry cost, timing, and AI tracking
- ·Crypto perps bracket orders guide: no-hype walkthrough with AI forecasting (probability-based)
- ·UNI perps risk checklist: partial fills practical checklist with AI forecasting (probability-based)
- ·Aivora-style AI decision support for perps: partial fills common mistakes














