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Eghbal commited on Nov 10, 2025

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-## 🚀 TSFMs Release
 <div style="display: flex; flex-direction: column; align-items: center; justify-content: center; text-align: center; margin-top: 10px; margin-bottom: 10px;">
   <img src="https://fintext.ai/FinText_logo.webp" alt="FinText Logo" width="140" style="display: block; margin: 0 auto 6px auto;">
   <h1 style="font-size: 1.9em; font-weight: bold; margin: 4px 0;">Time Series Foundation Models for Finance</h1>
 </div>
 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 :
 **[*Re(Visiting) Time Series Foundation Models in Finance*](https://ssrn.com/abstract=4963618)** by *Eghbal Rahimikia, Hao Ni, and Weiguan Wang (2025)*.

 sdk: static
 pinned: false
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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;">
   <img src="https://fintext.ai/FinText_logo.webp" alt="FinText Logo" width="140" style="display: block; margin: 0 auto 6px auto;">
   <h1 style="font-size: 1.9em; font-weight: bold; margin: 4px 0;">Time Series Foundation Models for Finance</h1>
 </div>
+## 🚀 TSFMs Release
 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 :
 **[*Re(Visiting) Time Series Foundation Models in Finance*](https://ssrn.com/abstract=4963618)** by *Eghbal Rahimikia, Hao Ni, and Weiguan Wang (2025)*.