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README.md
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@@ -23,7 +23,7 @@ We are pleased to introduce **FinText-TSFM**, a comprehensive suite of **time se
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Models are pre-trained **from scratch** on large-scale financial time series datasets β including daily excess returns across **89 markets** and **over 2 billion observations** β to ensure full temporal and domain alignment.
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- **Bias-Free Design:**
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Pre-training strictly follows a **chronological expanding-window setup**, avoiding any **look-ahead bias** or **information leakage
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Models are pre-trained individually for each year from 2000 to 2023, resulting in a total of 23 separate models.
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- **Model Families:**
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Models are pre-trained **from scratch** on large-scale financial time series datasets β including daily excess returns across **89 markets** and **over 2 billion observations** β to ensure full temporal and domain alignment.
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- **Bias-Free Design:**
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Pre-training strictly follows a **chronological expanding-window setup**, avoiding any **look-ahead bias** or **information leakage**.<br>
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Models are pre-trained individually for each year from 2000 to 2023, resulting in a total of 23 separate models.
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- **Model Families:**
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