Update README.md

README.md

@@ -31,6 +31,11 @@ We are pleased to introduce **FinText-TSFM**, a comprehensive suite of **time se
   - Chronos-Tiny (8M) / Mini (20M) / Small (46M)  
   - TimesFM-8M / 20M  
 
+- **Model Collections:**  
+  - U.S.: Covers U.S. market-wide excess returns from 2000 to 2023, with one pre-trained model per year.
+  - Global: Covers 89 global markets excess returns from 2000 to 2023, with one pre-trained model per year.
+  - Augmented: It extend global data with augmented factors from 2000 to 2023, with one pre-trained model per year.
+
 - **Performance Insights:**  
   Our findings show that **off-the-shelf TSFMs** underperform in zero-shot forecasting, while **finance-pretrained models** achieve large gains in both predictive accuracy and portfolio performance.