diff --git a/src/ydata_synthetic/preprocessing/timeseries/stock.py b/src/ydata_synthetic/preprocessing/timeseries/stock.py
index 47c9ccdd..b2707d64 100644
--- a/src/ydata_synthetic/preprocessing/timeseries/stock.py
+++ b/src/ydata_synthetic/preprocessing/timeseries/stock.py
@@ -22,7 +22,8 @@ def transformations(seq_len: int):
         # Reading the stock data
         stock_df = pd.read_csv('../data/stock.csv')
 
+    stock_df = stock_df.set_index('Date').sort_index()
     #Data transformations to be applied prior to be used with the synthesizer model
-    processed_data = real_data_loading(stock_df, seq_len=seq_len)
+    processed_data = real_data_loading(stock_df.values, seq_len=seq_len)
 
     return processed_data
diff --git a/src/ydata_synthetic/preprocessing/timeseries/utils.py b/src/ydata_synthetic/preprocessing/timeseries/utils.py
index e5e315ba..c77c67b2 100644
--- a/src/ydata_synthetic/preprocessing/timeseries/utils.py
+++ b/src/ydata_synthetic/preprocessing/timeseries/utils.py
@@ -18,7 +18,8 @@ def real_data_loading(data: np.array, seq_len):
     # Flip the data to make chronological data
     ori_data = data[::-1]
     # Normalize the data
-    ori_data = MinMaxScaler(ori_data)
+    scaler = MinMaxScaler().fit(ori_data)
+    ori_data = scaler.transform(ori_data)
 
     # Preprocess the dataset
     temp_data = []