Articles, Library comments - page 66

Economic Calendar CSV : This script saves a predefined set of economic events from the MetaTrader's built-in economic calendar into CSV file. Author: Stanislav Korotky

TimeServerDaylightSavings : Time-related functions for empirical detection of server time zone and daylight savings mode (DST) from history of quotes Author: Stanislav Korotky

Check out the new article: Neural Networks Made Easy (Part 92): Adaptive Forecasting in Frequency and Time Domains . The authors of the FreDF method experimentally confirmed the advantage of combined forecasting in the frequency and time domains. However, the use of the weight hyperparameter is not

Check out the new article: Developing a multi-currency Expert Advisor (Part 9): Collecting optimization results for single trading strategy instances . Let's outline the main stages of the EA development. One of the first things to be done will be to optimize a single instance of the developed

Check out the new article: Developing a multi-currency Expert Advisor (Part 2): Transition to virtual positions of trading strategies . Let's continue developing a multi-currency EA with several strategies working in parallel. Let's try to move all the work associated with opening market positions

Change Timeframes with Hotkeys: This simple indicator will change the timeframes of the current chart with keypress. Author: mohit marwaha

RSI adaptive EMA Alert : Added alerts to custom indicator Author: Vladimir Karputov

VR Calculate Martingale Lite: Indicator calculate the average price Author: Vladimir Pastushak

New article Money management in trading has been published: We will look at several new ways of building money management systems and define their main features. Today, there are quite a few money management strategies to fit every taste. We will try to consider several ways to manage money based on

Check out the new article: From Python to MQL5: A Journey into Quantum-Inspired Trading Systems . The article explores the development of a quantum-inspired trading system, transitioning from a Python prototype to an MQL5 implementation for real-world trading. The system uses quantum computing

Check out the new article: Developing a Replay System — Market simulation (Part 01): First experiments (I) . How about creating a system that would allow us to study the market when it is closed or even to simulate market situations? Here we are going to start a new series of articles in which we

Check out the new article: Feature Engineering With Python And MQL5 (Part II): Angle Of Price . There are many posts in the MQL5 Forum asking for help calculating the slope of price changes. This article will demonstrate one possible way of calculating the angle formed by the changes in price in any

Check out the new article: Introduction to MQL5 (Part 3): Mastering the Core Elements of MQL5 . Explore the fundamentals of MQL5 programming in this beginner-friendly article, where we demystify arrays, custom functions, preprocessors, and event handling, all explained with clarity making every line

Check out the new article: MQL5 Wizard Techniques you should know (Part 46): Ichimoku . The Ichimuko Kinko Hyo is a renown Japanese indicator that serves as a trend identification system. We examine this, on a pattern by pattern basis, as has been the case in previous similar articles, and also

Check out the new article: Stepwise feature selection in MQL5 . In this article, we introduce a modified version of stepwise feature selection, implemented in MQL5. This approach is based on the techniques outlined in Modern Data Mining Algorithms in C++ and CUDA C by Timothy Masters. Traditional

Check out the new article: Multiple Symbol Analysis With Python And MQL5 (Part II): Principal Components Analysis For Portfolio Optimization . Managing trading account risk is a challenge for all traders. How can we develop trading applications that dynamically learn high, medium, and low-risk modes

New article MQL5 Wizard techniques you should know (Part 01): Regression Analysis has been published: Todays trader is a philomath who is almost always (either consciously or not...) looking up new ideas, trying them out, choosing to modify them or discard them; an exploratory process that should

Check out the new article: Data Science and ML (Part 23): Why LightGBM and XGBoost outperform a lot of AI models? . These advanced gradient-=boosted decision tree techniques offer superior performance and flexibility, making them ideal for financial modeling and algorithmic trading. Learn how to

send a trade position to telegram channel : hi, this code need your telegram token and telegram chat id . you can make robot by BotFather and then search in google how you can find telegram token and chat id then attach them to this code . now every trade would be signals on your telegram channel

Check out the new article: How to view deals directly on the chart without weltering in trading history . In this article, we will create a simple tool for convenient viewing of positions and deals directly on the chart with key navigation. This will allow traders to visually examine individual

Check out the new article: Requesting in Connexus (Part 6): Creating an HTTP Request and Response . In this sixth article of the Connexus library series, we will focus on a complete HTTP request, covering each component that makes up a request. We will create a class that represents the request as a

LSTM Neural Network : Long Short-Term Memory Neural Network - for time series analysis. Author: Shephard Mukachi

ATR ZigZag : ATR-based ZigZag implementation. Author: Andre Enger

Check out the new article: News Trading Made Easy (Part 4): Performance Enhancement . This article will dive into methods to improve the expert's runtime in the strategy tester, the code will be written to divide news event times into hourly categories. These news event times will be accessed within

Displaying Several CChartObject Objects in a Single Window : This script displays several subcharts in a single chart window according to the number of currency pairs in Market Watch menu. Author: Automated-Trading

Check out the new article: Self Optimizing Expert Advisor With MQL5 And Python (Part VI): Taking Advantage of Deep Double Descent . Traditional machine learning teaches practitioners to be vigilant not to overfit their models. However, this ideology is being challenged by new insights published by

New article Auto search for divergences and convergences has been published: The article considers all kinds of divergence: simple, hidden, extended, triple, quadruple, convergence, as well as divergences of A, B and C classes. A universal indicator for their search and display on the chart is

New article Creating Neural Network EAs Using MQL5 Wizard and Hlaiman EA Generator has been published: The article describes a method of automated creation of neural network EAs using MQL5 Wizard and Hlaiman EA Generator. It shows you how you can easily start working with neural networks, without

Amazing Oscilator : A combination of data analysis from the Awesome Oscillator and the resulting direction of the candles relative to the previous range Author: Nikclay Khrushchev

i-Breakeven: i-Breakeven groups the open position by symbol and for the each of group shows: 1. The current equity level. 2. The estimated breakeven level. Author: RickD2