Entries with no category
In this article, we focus on developing an Expert Advisor (EA) using MQL5, designed to identify potential market reversals. The EA employs the Parabolic SAR for signal detection, generating trading signals by monitoring technical indicators, evaluating their validity in real time, and identifying optimal exit points when predefined levels are reached. more...
In this article, we explore a feature selection algorithm introduced in the paper 'Local Feature Selection for Data Classification' by Narges Armanfard, James P. Reilly, and Majid Komeili. This method aims to identify predictive features that are often overlooked by traditional selection techniques due to their limited global utility. We will begin with a general overview of the algorithm, followed by its implementation in Python to create classifier models suitable for export to MetaTrader ...
In the previous article we built the main modules of the MSFformer model, including CSCM and Skip-PAM. The CSCM module constructs a feature tree of the analyzed time series, while Skip-PAM extracts information from time series at multiple scales using attention mechanism based on a temporal feature tree. In this article, we will continue that work by training the model and evaluating its performance on real-world data using the MetaTrader 5 Strategy Tester. more...
The Accelerator Oscillator is another Bill Williams Indicator that is designed to keep track of momentum and though common as it is derived from another oscillator that we covered in an earlier article, we take look at how various patterns exhibited by it could be used or even combined in ways that may give one an edge. This indicator specifically aims to track acceleration or deceleration of the momentum, which can be used in providing signals for possible trade entries and exits. Acceleration ...
Mini-articles with technical and fundamental analysis on the way as forecasts and levels - https://www.mql5.com/en/channels/forecast
Go to Profile
Mark as Read
