Articles, Library comments - page 2

Ping : A real-time indicator showing the lag of quotes inside the terminal. Author: fxsaber

MultiTester : Multiple runs/optimisations in Tester. Author: fxsaber

Check out the new article: MetaTrader 5 Machine Learning Blueprint (Part 1): Data Leakage and Timestamp Fixes . Before we can even begin to make use of ML in our trading on MetaTrader 5, it’s crucial to address one of the most overlooked pitfalls—data leakage. This article unpacks how data leakage

Check out the new article: Market Profile indicator . In this article, we will consider Market Profile indicator. We will find out what lies behind this name, try to understand its operation principles and have a look at its terminal version (MarketProfile). The Market Profile reflects the

Check out the new article: Developing a multi-currency Expert Advisor (Part 18): Automating group selection considering forward period . Let's continue to automate the steps we previously performed manually. This time we will return to the automation of the second stage, that is, the selection of

Renko 2.0 Offline : Renko 2.0 Offline non-trading expert generates custom symbol information on 1M chart. Important! Always leave it on M1 chart. A complete Renko chart with wicks. Now Offline! Based on Renko 2.0 indicator. References the Symbol library for MetaTrader 5 by fxsaber. Configure using

Check out the new article: Feature Engineering With Python And MQL5 (Part IV): Candlestick Pattern Recognition With UMAP Regression . Dimension reduction techniques are widely used to improve the performance of machine learning models. Let us discuss a relatively new technique known as Uniform

Ind_2 Line+1 : The indicator of the arbitrage situation for spread consisting from two instruments Author: Evgeniy Trofimov

Check out the new article: Developing a Replay System (Part 75): New Chart Trade (II) . In this article, we will talk about the C_ChartFloatingRAD class. This is what makes Chart Trade work. However, the explanation does not end there. We will complete it in the next article, as the content of this

Check out the new article: Price Action Analysis Toolkit Development (Part 31): Python Candlestick Recognition Engine (I) — Manual Detection . Candlestick patterns are fundamental to price-action trading, offering valuable insights into potential market reversals or continuations. Envision a

Check out the new article: Neural Networks in Trading: Optimizing the Transformer for Time Series Forecasting (LSEAttention) . The LSEAttention framework offers improvements to the Transformer architecture. It was designed specifically for long-term multivariate time series forecasting. The

Double Moving Averages With Fibonacci : This indicator combines two moving averages to generate buy/sell signals based on crossovers. It also plots Fibonacci retracement levels using recent swing highs and lows for support/resistance. Visual arrows mark trade signals, and optional alerts notify

Check out the new article: Ensemble methods to enhance numerical predictions in MQL5 . In this article, we present the implementation of several ensemble learning methods in MQL5 and examine their effectiveness across different scenarios. Machine learning often produces multiple predictive models of

Level Trading: System of intraday time trade. Author: John Smith

PNG : Forget about BMP files like a bad dream. With this library, you will now be able to use the more advanced and compact PNG image format for your programs. Author: BeeXXI Corporation

BreakRevertPro EA Adaptive Trading Edge for Breakout Mean Reversion : BreakRevertPro EA merges breakout and mean reversion strategies with adaptive SL/TP and multi-timeframe ATR trailing stops for flexible trading in volatile markets. Author: Mustafa Seyyid Sahin

Check out the new article: Introduction to MQL5 (Part 18): Building Expert Advisors Using Technical Chart Patterns (III) — Introduction to Wolfe Wave Pattern . This article explains the Wolfe Wave pattern in detail, covering both the bearish and bullish variations. It also breaks down the

Check out the new article: Building a Custom Market Regime Detection System in MQL5 (Part 2): Expert Advisor . This article details building an adaptive Expert Advisor (MarketRegimeEA) using the regime detector from Part 1. It automatically switches trading strategies and risk parameters for

Day Of Week, Week Of Year and other marks in Data Window and on chart : WeekDays indicator displays Day Of Week, Week Of Year, Day Of Year or Bar Index in the Data Window, and optionally in labels on the chart. Author: Stanislav Korotky

Check out the new article: Non-linear regression models on the stock exchange . Non-linear regression models on the stock exchange: Is it possible to predict financial markets? Let's consider creating a model for forecasting prices for EURUSD, and make two robots based on it - in Python and MQL5. I

Daily VWAP : Daily VWAP (Volume Weighted Average Price) is a simple yet powerful indicator that calculates and displays the Volume Weighted Average Price for each trading day. Ideal for identifying intraday fair value and supporting your daily trading decisions. Author: Guillermo Pineda

Manual Backtest Bar Replay Simulator : A simple indicator which may help you in manual backtest by just moving a vertical line to show hide bars. Author: Rajesh Kumar Nait

Check out the new article: From Basic to Intermediate: Union (II) . Today we have a very funny and quite interesting article. We will look at Union and will try to solve the problem discussed earlier. We'll also explore some unusual situations that can arise when using union in applications. The

Smart Trend Follower : This EA is designed to automatically follow market trends using signals from the Moving Average and Stochastic Oscillator indicators. The EA detects buy and sell signals by utilizing MA crossovers and confirms the trend with Stochastic. Additionally, the EA includes automatic

Check out the new article: Introduction to MQL5 (Part 17): Building Expert Advisors Using Technical Chart Patterns (II) . This article teaches beginners how to build an Expert Advisor (EA) in MQL5 that trades based on chart pattern recognition using trend line breakouts and reversals. By learning

Check out the new article: Feature selection and dimensionality reduction using principal components . The article delves into the implementation of a modified Forward Selection Component Analysis algorithm, drawing inspiration from the research presented in “Forward Selection Component Analysis

Check out the new article: Data Science and ML (Part 31): Using CatBoost AI Models for Trading . 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

Check out the new article: From Novice to Expert: Animated News Headline Using MQL5 (V)—Event Reminder System . In this discussion, we’ll explore additional advancements as we integrate refined event‑alerting logic for the economic calendar events displayed by the News Headline EA. This enhancement

Check out the new article: Advanced Order Execution Algorithms in MQL5: TWAP, VWAP, and Iceberg Orders . An MQL5 framework that brings institutional-grade execution algorithms (TWAP, VWAP, Iceberg) to retail traders through a unified execution manager and performance analyzer for smoother, more

Smart Stockastic MA : Advanced Stochastic EA A Smart Trend-Following Expert Advisor with Stochastic Confirmation Author: Frizt Yonif Yongly Lumbantoruan