Codici
Dashboard Panel for displaying information on the chart per MetaTrader 5
This code shows how you can create a dashboard to display all the relevant information on the chart
COLLECT ALL INDICATORS DATA per 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 per 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 per MetaTrader 5
This is a simple script that Closes all Orders and Positions available
More Trade After Break Even per 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
Articoli
Data Science and ML (Part 31): Using CatBoost AI Models for Trading per MetaTrader 5
CatBoost AI models have gained massive popularity recently among machine learning communities due to their predictive accuracy, efficiency, and robustness to scattered and difficult datasets. In this article, we are going to discuss in detail how to implement these types of models in an attempt to
Data Science and ML(Part 30): The Power Couple for Predicting the Stock Market, Convolutional Neural Networks(CNNs) and Recurrent Neural Networks(RNNs) per MetaTrader 5
In this article, We explore the dynamic integration of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) in stock market prediction. By leveraging CNNs' ability to extract patterns and RNNs' proficiency in handling sequential data. Let us see how this powerful combination can
Data Science and ML (Part 29): Essential Tips for Selecting the Best Forex Data for AI Training Purposes per MetaTrader 5
In this article, we dive deep into the crucial aspects of choosing the most relevant and high-quality Forex data to enhance the performance of AI models
Data Science and ML (Part 28): Predicting Multiple Futures for EURUSD, Using AI per MetaTrader 5
It is a common practice for many Artificial Intelligence models to predict a single future value. However, in this article, we will delve into the powerful technique of using machine learning models to predict multiple future values. This approach, known as multistep forecasting, allows us to
Data Science and ML (Part 27): Convolutional Neural Networks (CNNs) in MetaTrader 5 Trading Bots — Are They Worth It? per 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 per 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) per 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 per 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? per 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 per 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