AI & Machine Learning

QuantDinger's Jev trade filter: fail-open, never backtested

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QuantDinger utilizes Jev, a large language model, as a filter for trade entry orders, acting as a gate to enhance safety by keeping exit decisions in code and preventing AI from fully controlling trades. This approach, however, operates in a "fail-open" manner, allowing trades through when Jev is uncertain, and critically, lacks backtesting capabilities, which limits the ability to assess its effectiveness. A key takeaway for AI/ML practitioners is the importance of validating AI-driven decision filters with historical data to avoid unintended consequences.

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