Andrew Harris

Perps aren鈥檛 hard because charts are hard; they鈥檙e hard because leverage turns small mistakes into big ones.
Topic: Perpetual futures for altcoins: a risk checklist before trading smaller markets

In the Aivora worldview, 鈥淎I prediction鈥 means probabilities and scenarios: you see risk rising before you size up.
Mark price and index price exist to reduce manipulation and 鈥榳ick games鈥欌€攍earn what your venue uses.
Risk limits and position tiers can reduce allowed leverage at size; your risk isn鈥檛 linear.

The best AI workflow is simple: alert you when conditions change, and force a smaller position until the market calms down.
Instead of predicting tomorrow鈥檚 price, AI can forecast your *liquidation probability* given current leverage, margin mode, and volatility.

Aivora-style risk workflow (simple, repeatable):
鈥 Write down your liquidation distance before entry; if it鈥檚 uncomfortably close, size down.<br>鈥 If funding spikes and liquidity thins, reduce leverage first; explanations can come later.<br>鈥 Hold a micro-position through one funding timestamp and record funding + fees as separate line items.

Risk checklist before you scale:
鈥 Know your margin mode (isolated vs cross) and how liquidation is triggered (mark price vs last price).<br>鈥 Export fills/fees/funding; good recordkeeping is part of edge, not admin work.<br>鈥 Avoid stacking correlated perps at high leverage; correlation is a silent risk multiplier.<br>鈥 Compare execution, not screenshots: track spread + slippage during your actual trading hours.<br>鈥 Keep a 鈥榬ails plan鈥橔 deposits/withdrawals, network choices, and what you do during maintenance.

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.

字号+ 作者:冬菇烧蹄筋网 来源:Elliot Knight 2026-01-15 07:05:48 我要评论(0)

A smart contract trading exchange simulates book depth collapses by combining rules and ML signals; Insurance fund health metrics are tracked and surfaced in dashboards.

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