e have already traveled a good part of the trip, but there is still an important part. In this post, I tell you where we are and how much we have left. Courage, we sure got it! The Machine Learning Workflow The following diagram provides a high-level overview of the stages in a machine learning

Yes, Artificial Intelligence (AI) is here to stay. Previously on this blog, I have written about the Basis of the Scientific Trading System as well as the Artificial Intelligence Trading Systems. Since then, I have designed a trading system model which I believe could satisfy all requirements of the

For the first time, we will use the features of multiple financial instruments. In this case, we will use the main Forex pairs and the SP500 to perform our forecasts on Gold. This Jupyter notebook will be your guide for more complex calculations. Obviously, you can change the features and

Data corrupts. Absolute Data corrupts absolutely. This is my impression every time I am faced with the amount of data that is available to us in the current times. This is the moment of truth. Today you will learn how to make some predictions in the Forex market. This is probably the Far West of the

o you want to know how to build a multi-layered neural network? As deep as you want? In the next post, we will use real market data. In this one, we will still use non-trading data, because we are looking for a well-established knowledge of the basic concepts of Tensorflow. But we will use data used

fter you have trained a neural network (NN), you would want to save it for future calculation and eventually deploying to production. So, what is a Tensorflow model? Tensorflow model contains the network design or graph and values of the network parameters that we have trained. Important Note: I

We are now closer to applying our knowledge of neural networks (NN) to our trading systems. But, we still have to tune our rudiments a bit on TensorFlow. If you are not yet familiar with our supervised machine learning flowchart, take a look at the first two posts in this series. DeepTrading with