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MQL5 Wizard Techniques you should know (Part 17): Multicurrency Trading MetaTrader 5
Trading across multiple currencies is not available by default when an expert advisor is assembled via the wizard. We examine 2 possible hacks traders can make when looking to test their ideas off more than one symbol at a time
MQL5 Wizard Techniques you should know (Part 16): Principal Component Analysis with Eigen Vectors MetaTrader 5
Principal Component Analysis, a dimensionality reducing technique in data analysis, is looked at in this article, with how it could be implemented with Eigen values and vectors. As always, we aim to develop a prototype expert-signal-class usable in the MQL5 wizard
MQL5 Wizard Techniques You Should Know (Part 15): Support Vector Machines with Newton's Polynomial MetaTrader 5
Support Vector Machines classify data based on predefined classes by exploring the effects of increasing its dimensionality. It is a supervised learning method that is fairly complex given its potential to deal with multi-dimensioned data. For this article we consider how it’s very basic
MQL5 Wizard Techniques you should know (14): Multi Objective Timeseries Forecasting with STF MetaTrader 5
Spatial Temporal Fusion which is using both ‘space’ and time metrics in modelling data is primarily useful in remote-sensing, and a host of other visual based activities in gaining a better understanding of our surroundings. Thanks to a published paper, we take a novel approach in using it by
MQL5 Wizard Techniques you should know (Part 13): DBSCAN for Expert Signal Class MetaTrader 5
Density Based Spatial Clustering for Applications with Noise is an unsupervised form of grouping data that hardly requires any input parameters, save for just 2, which when compared to other approaches like k-means, is a boon. We delve into how this could be constructive for testing and eventually
MQL5 Wizard Techniques you should know (Part 12): Newton Polynomial MetaTrader 5
Newton’s polynomial, which creates quadratic equations from a set of a few points, is an archaic but interesting approach at looking at a time series. In this article we try to explore what aspects could be of use to traders from this approach as well as address its limitations
MQL5 Wizard Techniques you should know (Part 11): Number Walls MetaTrader 5
Number Walls are a variant of Linear Shift Back Registers that prescreen sequences for predictability by checking for convergence. We look at how these ideas could be of use in MQL5
MQL5 Wizard Techniques you should know (Part 10). The Unconventional RBM MetaTrader 5
Restrictive Boltzmann Machines are at the basic level, a two-layer neural network that is proficient at unsupervised classification through dimensionality reduction. We take its basic principles and examine if we were to re-design and train it unorthodoxly, we could get a useful signal filter
MQL5 Wizard Techniques you should know (Part 09): Pairing K-Means Clustering with Fractal Waves MetaTrader 5
K-Means clustering takes the approach to grouping data points as a process that’s initially focused on the macro view of a data set that uses random generated cluster centroids before zooming in and adjusting these centroids to accurately represent the data set. We will look at this and exploit a
MQL5 Wizard Techniques you should know (Part 08): Perceptrons MetaTrader 5
Perceptrons, single hidden layer networks, can be a good segue for anyone familiar with basic automated trading and is looking to dip into neural networks. We take a step by step look at how this could be realized in a signal class assembly that is part of the MQL5 Wizard classes for expert