设为首页 加入收藏
  • 首页
  • Andrew Kwan
  • Kevin Rodriguez
  • James Murphy
  • Leo Thornton
  • Scott Lam
  • Bratislava
  • 当前位置:首页 > Yangon >

    I don鈥檛 believe in AI as a crystal ball. I do believe in AI that makes risk obvious before you click.
    Topic: FTM perpetual futures guide: funding, mark price, and AI risk alerts

    The most useful Aivora AI isn鈥檛 a price target; it鈥檚 a liquidation-distance and volatility dashboard that nudges you to size down.
    Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
    Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.

    AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
    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 Before every trade, record liquidation distance and maintenance margin requirements.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.

    Risk checklist before scaling:
    鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Export fills/fees/funding; clean data is part of edge.<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.

    I don鈥檛 believe in AI as a crystal ball. I do believe in AI that makes risk obvious before you click.
    Topic: FTM perpetual futures guide: funding, mark price, and AI risk alerts

    The most useful Aivora AI isn鈥檛 a price target; it鈥檚 a liquidation-distance and volatility dashboard that nudges you to size down.
    Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
    Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.

    AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
    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 Before every trade, record liquidation distance and maintenance margin requirements.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.

    Risk checklist before scaling:
    鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Export fills/fees/funding; clean data is part of edge.<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.

    发布时间:2026-01-15 04:02:28 来源:琅琊新闻网 作者:Mark Thompson

    [1][2][3][4][5][6][7][8][9][10]
  • 上一篇:How cross margin vs isolated margin works in perpetual futures: quick reference with AI decision support
  • 下一篇:ATOM perps volatility checklist: when to cut leverage (AI regime detection)

    相关文章

    • hedging basics for beginners for perpetual futures: with AI decision support
    • A practical guide to BONK perpetuals: funding, open interest, and liquidation risk
    • RPL perp trailing stops quick reference: with AI decision support
    • Aivora-style AI prediction for perps: probability, not prophecy (a trader鈥檚 guide)
    • How hidden fees works in perpetual futures: rules you should know with an AI dashboard workflow
    • DOGE perp risk management checklist for beginners (AI-assisted, no hype)
    • Aivora AI monitoring checklist: delistings best practices for derivatives traders
    • PEPE perp exchange comparison: liquidity, spreads, and risk limits
    • ENJ perps risk checklist: kill switch quick reference with an AI risk score
    • FLOW perpetual futures funding rate explained + AI risk tracking checklist

      随便看看

    • Why 鈥榣ow fee鈥 can be expensive: a slippage-first way to compare perp venues
    • LINK perp funding rate explained: carry cost, timing, and AI tracking
    • Perp exchange incident checklist: what to check after outages, halts, or maintenance
    • WLD liquidation price explained: maintenance margin, fees, and mark price
    • Best practices for BONK perps: execution quality, fees, and risk controls
    • Perps for smaller altcoins: liquidity traps and an AI-first risk checklist
    • ANKR perp liquidation rules explained: margin, mark price, and risk limits
    • How to trade GRT perpetual futures responsibly: leverage, stops, and AI monitoring
    • BONK perp risk management checklist for beginners (AI-assisted, no hype)
    • Why exchange maintenance and delistings belong in your risk plan (not just your calendar)
    • Copyright © 2016 Powered by

      I don鈥檛 believe in AI as a crystal ball. I do believe in AI that makes risk obvious before you click.
      Topic: FTM perpetual futures guide: funding, mark price, and AI risk alerts

      The most useful Aivora AI isn鈥檛 a price target; it鈥檚 a liquidation-distance and volatility dashboard that nudges you to size down.
      Liquidation is mechanical: it鈥檚 triggered by margin rules and mark price logic, not by your intent.
      Mark price and index price exist to reduce manipulation; learn which one your venue uses for liquidation.

      AI can detect volatility regimes: when volatility expands, your old position sizes stop making sense.
      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 Before every trade, record liquidation distance and maintenance margin requirements.<br>鈥 Build a one-page scorecard for each venue: rules, rails, execution, incidents.<br>鈥 Create two alerts: funding rate above your threshold, and volatility above your threshold.

      Risk checklist before scaling:
      鈥 Avoid stacking correlated perps at high leverage; correlation multiplies risk.<br>鈥 Measure spreads and slippage during your trading hours (not screenshots).<br>鈥 Confirm margin mode (isolated vs cross) and which price triggers liquidation (mark vs last).<br>鈥 Export fills/fees/funding; clean data is part of edge.<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.

      ,琅琊新闻网   sitemap