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README.md

@@ -13,15 +13,15 @@ This repository hosts a trained **Support Vector Regression (SVR)** model and it
 
 ## Model Details
 - **Algorithm:** Support Vector Regression (SVR) with RBF Kernel
-- **Features (Input Sequence Length):** 60 days
+- **Features (Input Sequence Length):** 100 days
 - **Target:** Single-step prediction (the price of day $T+1$)
 - **Training Period:** 2020-11-24 to 2025-11-23
 
 ## Inference
-To use this model, you must provide a sequence of the last **60** scaled closing prices.
+To use this model, you must provide a sequence of the last **100** scaled closing prices.
 
 1.  Load the `svr_model.joblib` and `minmax_scaler.joblib`.
-2.  Scale your 60-day input sequence using the loaded `MinMaxScaler`.
+2.  Scale your 100-day input sequence using the loaded `MinMaxScaler`.
 3.  Run the prediction.
 4.  Inverse transform the prediction using the loaded `MinMaxScaler` to get the final dollar value.