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...
If you have been an algorithmic-trader for a while, chances are high you've heard about Neural Networks. It always seems like they are a way forward to make holy grails trading robots, about this I'm not that sure because it takes more than just adding neural networks to a trading bot to end up with a profitable system. Not to mention you need to understand what you are getting yourself into when using neural networks because even smaller details could ...
In the previous article entitled Creating an EA that works automatically (Part 04): Manual triggers (I) I have shown how, with a bit of programming, to send market orders and to place pending orders using a combination of keys and mouse. Well, to make the use of our EA in the manual mode more comfortable, we need to do a few things. This work is simple and easy for programmers, so we can get straight to the point. Namely, we will create lines ...
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