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Why our 1.189B Parameter Transformer failed to beat a 63-parameter Linear Regression on stock data (Case study on low-SNR time series & flat bars)

Over the past several months, our research team pre-trained and empirically audited a 1,189,135,740-parameter Financial Conformer Foundation Model across 14 calendar years (2010–2023; 15,030 steps) of 1-minute US equity bars across 15 liquid assets (AAPL, NVDA, SPY, QQQ, etc.). Instead of cherry-pi…

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  1. 2026-10-27 09:43 · r/learnmachinelearning
    Why our 1.189B Parameter Transformer failed to beat a 63-parameter Linear Regression on stock data (Case study on low-SNR time series & flat bars)

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