# #%%
# import pandas as pd
# import pandas_ta as ta
# from config.config import get_default_ensemble_config
# from config.preprocess import preprocess_config
# from data_loader.load_data import load_data

# # %%
# model_config, training_config, data_config = get_default_ensemble_config()
# model_config, training_config, data_config = preprocess_config(model_config, training_config, data_config)

# data_config['target_asset'] = data_config['assets'][0]
# X, y, target_returns = load_data(**data_config)
# # %%
# X.ta.donchian()


# # %%
# X.ta.ema()
# # %%
# X.ta.adjusted = "ADA_USD_returns"

# # %%
# X.ta.sma(length=10)

# # %%
# X
# # %%
# X.ta.categories

# # %%
# ind_list = X.ta.indicators(as_list=True)

# # %%
# ind_list
# # %%
# X.ta.ao('ADA_USD_returns', length=10)
# # %%
# ta.ao()