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In the previous article, we saw how category theory can be potent in complex systems via its concepts of products, coproducts, and the universal property, examples of applications of which in finance and algorithmic trading were shared. Here, we will delve deeper into spans, experiments, and compositions. more...
In previous articles: Creating an EA that works automatically (Part 06): Account types (I) and Creating an EA that works automatically (Part 07): Account types (II), we were focusing on the importance of being careful when designing an EA that trades automatically. Before we can really understand how the EA code for automation should work, we need to understand how it interacts with the trade server. more...
High/Low is the simplest type of binary options as traders only have to determine, in which direction the price will go. In a bullish trend, it is advisable to buy High (Call). While Down (Put) is purchased if a downward movement of the asset is expected. The profit of High/Low options varies from 10% to 80% of the bet. more...
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...
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