Update README.md

README.md

@@ -33,7 +33,7 @@ We are pleased to introduce **FinText-TSFM**, a comprehensive suite of **time se
 
 - **Model Collections:**  
   - U.S.: Covers **U.S.** market-wide excess returns from 2000 to 2023, with one pre-trained model per year.
-  - Global: Covers excess returns across **89 global markets** from 2000 to 2023, with one pre-trained model for each year.
+  - Global: Covers excess returns across **94 global markets** from 2000 to 2023, with one pre-trained model for each year.
   - Augmented: Extends the global data with  **augmented factors** from 2000 to 2023, with one pre-trained model for each year.
   - The remaining **220 pre-trained models** are available for download via the [**FinText.ai Portal**](https://fintext.ai). These include models pre-trained with varying **hyperparameter configurations** for extended experimentation and performance comparison.