diff --git a/load_data.py b/load_data.py
index d9f9a9e..40e6d74 100644
--- a/load_data.py
+++ b/load_data.py
@@ -5,9 +5,14 @@ import numpy as np
 from pandas.core.frame import DataFrame
 from utils.technical_indicators import ROC, RSI, STOK, STOD
 from typing import Literal
+from sklearn.preprocessing import OneHotEncoder
 
 #%%
 
+def get_all_assets(path: str) -> list[str]:
+    return [f.split('.')[0] for f in os.listdir(path) if os.path.isfile(os.path.join(path,f)) and not f.startswith('.')]
+
+
 def load_data(path: str,
             target_asset: str,
             target_asset_lags: list[int],
@@ -42,9 +47,9 @@ def load_data(path: str,
     dfs.index = pd.DatetimeIndex(dfs.index)
 
     if add_date_features:
-        dfs['day_month'] = dfs.index.day
-        dfs['day_week'] = dfs.index.dayofweek
-        dfs['month'] = dfs.index.month
+        dfs = pd.concat([dfs, pd.get_dummies(dfs.index.day, drop_first=True, prefix="day_month").set_index(dfs.index)], axis=1)
+        dfs = pd.concat([dfs, pd.get_dummies(dfs.index.dayofweek, drop_first=True, prefix="day_week").set_index(dfs.index)] , axis=1)
+        dfs = pd.concat([dfs, pd.get_dummies(dfs.index.month, drop_first=True, prefix="month").set_index(dfs.index)], axis = 1)
 
     if index_column == 'int':
         dfs.reset_index(drop=True, inplace=True)
@@ -129,6 +134,8 @@ def __augment_derived_features(df: pd.DataFrame, log_returns: bool, technical_fe
     return df
 
 
+# %%
+
 # %%
 def __create_target_cum_forward_returns(df: pd.DataFrame, source_column: str, period: int) -> pd.DataFrame:
     df['target'] = df[source_column].diff(period).shift(-period)