Deep Reinforcement Learning test results for Litecoin, Ripple, and Binance Coin

In the previous post, I shared the trading results for Bitcoin data using deep reinforcement learning approach. I have also tested the model with some other coins using the same trained deep network. In this post, I’m going to share the results for Litecoin, Ripple, and Binance Coin. Remember that the training data was recorded […]

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 […]

Feature extraction class version 2: Adding choppiness index and x indicator

In this post, I’m going to talk about the new version of our feature extraction class. You may have a look at the old version by browsing the following link: A complete feature extraction class for algorithmic trading In the old version, the features were ‘rsi’,’bandwidth’,’percent-b’, ‘cv’ and the rate of change values such as, […]