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.
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.
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.
Pragmatic Deep Learning Model for Forex Forecasting. Using LSTM and TensorFlow on the GBPUSD Time Series for multi-step prediction
Project walk-through on Convolution neural networks using transfer learning. From 2 years of my master’s degree, I found that the best way to learn concepts is by doing the projects.
An A.I. Capital Management Research Article Series. Machine learning and artificial intelligence is becoming ubiquitous in quantitative trading.
Deep Q-Networks have revolutionized the field of Deep Reinforcement Learning, but the technical prerequisites for easy experimentation have barred newcomers until now.
An Unconventional guide to Deep Learning. We reside in a world, where we are constantly surrounded by deep learning algorithms be it for the good or worse cause.