How to Use a TensorFlow Deep Learning Model for Forex Trading

How to Use a TensorFlow Deep Learning Model for Forex Trading

Building an algorithmic bot, in a commercial platform, to trade based on a model’s prediction. In this tutorial, you'll see How to Use a TensorFlow Deep Learning Model for Forex Trading

In this tutorial, you'll see How to Use a TensorFlow Deep Learning Model for Forex Trading

Now we want to use this model for trading under a commercial trading platform and see if it is going to generate a profit.

The techniques used in this story are focusing on the model in my previous story, but they can be tweaked to fit another model. The intention here is to make the model usable by other systems, e.g. a trading platform.

Recap

In the  previous story, we have trained and tested a model and saved the resulting model as a directory and the scaler used for the data as a file.

Image for post

Showing the directory of the model and scaler file in Visual Studio Code

The model and the scaler are the only items that we need, in addition to understanding the input and the output parameters.

deep-learning algorithmic-trading ctrader lstm forex-trading

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