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data["Returns"] = data["Close"].pct_change() data.dropna(inplace=True) # Split the data into training and testing sets train_size = int(len(data) * 0.8) train_data = data[:train_size] test_data = data[train_size:] # Create the target variable train_target = train_data["Returns"].shift(-1)