Deep Reinforcement Learning for algorithmic trading (Test results 2)

After publishing the deep Q-learning test results, I have received several responses and questions. I found most of them useful and based on them I prepared a new test configuration. In this article, I’m going to share new results on the subject deep reinforcement learning for algorithmic trading. First, I want to list some of […]

Deep Q-learning test results for algorithmic trading

In the previous post, we trained our deep Q-network using Litecoin historical data. In this post, we are going to learn how to test the network using a test data. We will also see whether we can make money or not using AI. Before starting, I highly recommend you to read the previous post, because […]

Deep Q-learning for algorithmic trading

In this post, I’m going to briefly present the deep Q-learning method which is the combination of reinforcement learning (RL) and deep neural networks. After that, I’m going to show how I applied this technique to algorithmic trading. At the end of the post, I’m going to share the python implementation of the training procedure. […]