We continue studying distributed Q-learning algorithms. Earlier we have already considered two algorithms. In the first one [4], our model learned the probabilities of receiving a reward in a given range of values. In the second algorithm [5], we used a different approach to solving the problem. We trained the model to predict the reward level with a given probability. more...
In the previous article Creating an EA that works automatically (Part 06): Account types (I), we started developing a way to ensure that the automated EA works correctly and within its intended purpose. In that article, we created the C_Manager class, which acts as an administrator, so that in case of strange or incorrect EA behavior the EA will be removed from the chart. more...
Kohonen Maps or Self-Organizing maps(SOM) or Self-Organizing Feature Map(SOFM). Is an unsupervised machine learning technique used to produce a low-dimensional(typically tow-dimensional) representation of a higher dimensional data set while preserving the topological structure of the data. more...
Principal Component Analysis (PCA) is a dimensionality-reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one that still contains most of the information in the large set. more...
In this new article from our series about learning how to design a trading system based on the most popular technical analysis tools and indicators, we will learn how to create a trading system based on the Fibonacci Retracement technical tool which is one of the most popular and widely used in trading. After that, we can use this trading system on our MetaTrader 5 trading terminal. more...
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