Codes
COLLECT ALL INDICATORS DATA pour MetaTrader 5
This Script collects all MQL5 built-in indicators buffers and stores them in a CSV file for analysis purposes
Multiple dynamic logistic regression first unsuccessful attempt pour MetaTrader 5
from the logistic regression Article, I welcome all the thoughts on how we can build multiple dynamic Logistic Regression
Close All Orders and Positions pour MetaTrader 5
This is a simple script that Closes all Orders and Positions available
More Trade After Break Even pour MetaTrader 4
Have you ever wanted to add another trade only after the previous has been modified by either trailing stop or even break even , This code will help you to be able to implement that
Articles
Data Science and ML (Part 27): Convolutional Neural Networks (CNNs) in MetaTrader 5 Trading Bots — Are They Worth It? pour MetaTrader 5
Convolutional Neural Networks (CNNs) are renowned for their prowess in detecting patterns in images and videos, with applications spanning diverse fields. In this article, we explore the potential of CNNs to identify valuable patterns in financial markets and generate effective trading signals for
Data Science and ML (Part 26): The Ultimate Battle in Time Series Forecasting — LSTM vs GRU Neural Networks pour MetaTrader 5
In the previous article, we discussed a simple RNN which despite its inability to understand long-term dependencies in the data, was able to make a profitable strategy. In this article, we are discussing both the Long-Short Term Memory(LSTM) and the Gated Recurrent Unit(GRU). These two were
Data Science and Machine Learning (Part 25): Forex Timeseries Forecasting Using a Recurrent Neural Network (RNN) pour MetaTrader 5
Recurrent neural networks (RNNs) excel at leveraging past information to predict future events. Their remarkable predictive capabilities have been applied across various domains with great success. In this article, we will deploy RNN models to predict trends in the forex market, demonstrating their
Data Science and Machine Learning (Part 24): Forex Time series Forecasting Using Regular AI Models pour MetaTrader 5
In the forex markets It is very challenging to predict the future trend without having an idea of the past, Very few machine learning models are capable of making the future predictions by considering past values. In this article, we are going to discuss how we can use classical(Non-time series)
Data Science and Machine Learning (Part 23): Why LightGBM and XGBoost outperform a lot of AI models? pour MetaTrader 5
These advanced gradient-boosted decision tree techniques offer superior performance and flexibility, making them ideal for financial modeling and algorithmic trading. Learn how to leverage these tools to optimize your trading strategies, improve predictive accuracy, and gain a competitive edge in
Data Science and Machine Learning (Part 22): Leveraging Autoencoders Neural Networks for Smarter Trades by Moving from Noise to Signal pour MetaTrader 5
In the fast-paced world of financial markets, separating meaningful signals from the noise is crucial for successful trading. By employing sophisticated neural network architectures, autoencoders excel at uncovering hidden patterns within market data, transforming noisy input into actionable
Overcoming ONNX Integration Challenges pour MetaTrader 5
ONNX is a great tool for integrating complex AI code between different platforms, it is a great tool that comes with some challenges that one must address to get the most out of it, In this article we discuss the common issues you might face and how to mitigate them
Data Science and Machine Learning(Part 21): Unlocking Neural Networks, Optimization algorithms demystified pour MetaTrader 5
Dive into the heart of neural networks as we demystify the optimization algorithms used inside the neural network. In this article, discover the key techniques that unlock the full potential of neural networks, propelling your models to new heights of accuracy and efficiency
Data Science and Machine Learning (Part 20): Algorithmic Trading Insights, A Faceoff Between LDA and PCA in MQL5 pour MetaTrader 5
Uncover the secrets behind these powerful dimensionality reduction techniques as we dissect their applications within the MQL5 trading environment. Delve into the nuances of Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA), gaining a profound understanding of their impact on
Data Science and Machine Learning (Part 19): Supercharge Your AI models with AdaBoost pour MetaTrader 5
AdaBoost, a powerful boosting algorithm designed to elevate the performance of your AI models. AdaBoost, short for Adaptive Boosting, is a sophisticated ensemble learning technique that seamlessly integrates weak learners, enhancing their collective predictive strength