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  ## ๐Ÿš€ TSFMs Release
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- <div style="text-align: center; padding-top: 10px; padding-bottom: 20px;">
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- <img src="https://fintext.ai/FinText_logo.webp" alt="FinText Logo" width="180" style="margin-bottom: 10px;">
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- <h2 style="font-size: 3.4em; font-weight: normal; color: #444;">Time Series Foundation Models for Finance</h2>
 
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  </div>
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  We are pleased to introduce **FinText-TSFM**, a comprehensive suite of **time series foundation models (TSFMs)** developed for financial forecasting and quantitative research. This release accompanies the paper :
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  **[*Re(Visiting) Time Series Foundation Models in Finance*](https://ssrn.com/abstract=4963618)** by *Eghbal Rahimikia, Hao Ni, and Weiguan Wang (2025)*.
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  ## ๐Ÿš€ TSFMs Release
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+ <div style="display: flex; flex-direction: column; align-items: center; justify-content: center; text-align: center; margin-top: 10px; margin-bottom: 10px;">
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+ <img src="https://fintext.ai/FinText_logo.webp" alt="FinText Logo" width="140" style="display: block; margin: 0 auto 6px auto;">
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+ <h1 style="font-size: 1.9em; font-weight: bold; margin: 4px 0;">FinText-TSFM ๐Ÿ“ˆ</h1>
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+ <h2 style="font-size: 1.2em; font-weight: normal; color: #444; margin: 2px 0;">Time Series Foundation Models for Finance</h2>
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  </div>
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  We are pleased to introduce **FinText-TSFM**, a comprehensive suite of **time series foundation models (TSFMs)** developed for financial forecasting and quantitative research. This release accompanies the paper :
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  **[*Re(Visiting) Time Series Foundation Models in Finance*](https://ssrn.com/abstract=4963618)** by *Eghbal Rahimikia, Hao Ni, and Weiguan Wang (2025)*.
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