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-You need to prepare the historical data for training before you train the model. If you have prepared the data, build and train the model. In this example, build a neural network model that predicts the future price of the SPY.
+You need to prepare the historical data for training before you train the model. If you have prepared the data, build and train the model. In this example, build a neural network model that predicts the future price of the SPY.
Build the Model
Follow these steps to build the model:
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-You need some historical data to prepare the data for the model. If you have historical data, manipulate it to train and test the model. In this example, standardize the log close price time-series of the securities. Follow these steps to prepare the data:
+You need some historical data to prepare the data for the model. If you have historical data, manipulate it to train and test the model. In this example, standardize the log close price time-series of the securities. Follow these steps to prepare the data:
- Unstack the historical DataFrame and select the close column.
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-You need some historical data to prepare the data for the model. If you have historical data, manipulate it to train and test the model. In this example, use the following features and labels:
+You need some historical data to prepare the data for the model. If you have historical data, manipulate it to train and test the model. In this example, use the following features and labels: