We continue these series that explore various trade setups and ideas thanks to MetaTrade-5’s rapid development and prototyping environment with the MQL5 wizard. These articles, in principle, seek to explore how else traders can set themselves apart from the pack by exploring ideas that may not be so common and could deliver an edge to the interested trader, depending on how he chooses to exploit them. So, we are into exploring here, not necessarily exploiting and the reason why an edge matters ...
Gaussian Process Kernels are covariance functions used in Gaussian processes to measure the relationships among data points, such as in a time series. These kernels generate matrices that capture the intra-data relationship, allowing the Gaussian Process to make projections or forecasts by assuming the data follows a normal distribution. As these series look to explore new ideas while also examining how these ideas can be exploited, Gaussian Process (GP) Kernels are serving as our subject ...
Previously, we created an Expert Advisor to store economic data in our news calendar database. We also developed many classes to build a foundation for our expert to perform adequately. In this article, we will expand on these classes in our project to finally get to our goal of trading from economic data. Our next goal will be profitability which we will address in the next upcoming articles. For this article, we will add a new view to our database to display all unique events from the MQL5 economic calendar ...