Agentic AI Trading On Hyperliquid For Beginners (Codex 5.5)

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Kristian Fagerlie beside the headline AI Trading Tests
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    Kristian Fagerlie demonstrates an AI-assisted workflowWorkflow automation uses software or AI to complete a connected sequence of routine steps with less manual effort. for researching Bitcoin trading strategies, collecting historical data and setting up backtests on Hyperliquid. He describes each strategy as a separate trading pod.

    An initially promising backtest fails a subsequent robustness checkEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria., illustrating how a short data window can exaggerate performance. A later candidate also has a short history and a meaningful risk of loss.

    Despite those limitations, Fagerlie builds a small live experiment and tests that the system can open and close a position. He says he will monitor the result and report back, rather than claiming the strategy is proven profitable.

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    Video topic coverage

    • Agents & workflows94.4
    • Coding & tools83.3
    • Models & learning27.8
    • Infrastructure & compute38.9
    • Research & evaluation100
    • Safety & security0
    • Business & productivity38.9
    • Creative & media0
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    Kristian Fagerlie beside the headline AI Trading Tests With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 22 June 2026 and duration 20m 46s.

    Kristian Fagerlie uses Codex to research and backtest Bitcoin trading strategies before a small live experiment.