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  1. Developing a multi-currency Expert Advisor (Part 22): Starting the transition to hot swapping of settings

    by , 11-09-2025 at 05:52 PM
    In the previous two parts of our article series, we made serious preparations for further experiments with auto optimization of trading EAs.

    In this new article, we will delve into the implementation of a new mechanism for loading parameters of final EAs, which should allow for partial or complete replacement of the composition and parameters of single instances of trading strategies, both during a single run in the strategy tester and when the final EA is running on a trading
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  2. Automating Trading Strategies in MQL5 (Part 36): Supply and Demand Trading with Retest and Impulse Model

    by , 10-05-2025 at 07:19 AM
    In our previous article (Part 35), we developed a Breaker Block Trading System in MetaQuotes Language 5 (MQL5) that identified consolidation ranges, validated breaker blocks with swing points, and traded retests with customizable risk parameters and visual feedback. In Part 36, we develop a Supply and Demand Trading System utilizing a retest and impulse model. This model detects supply and demand zones through consolidation, validates them with impulsive moves, and executes trades on retests
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  3. From Novice to Expert: Implementation of Fibonacci Strategies in Post-NFP Market Trading

    by , 09-19-2025 at 07:01 AM
    In this discussion, we will address the challenges of trading after news-driven spikes by applying Fibonacci principles in an algorithmic way. To set the foundation, the next section will briefly introduce Fibonacci for those new to the concept, before we proceed to the design and implementation of the strategy.
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  4. Introduction to MQL5 (Part 19): Automating Wolfe Wave Detection

    by , 07-26-2025 at 07:10 AM
    In this part, we’re moving from theory to implementation. We’ll explore how to identify Wolfe Wave structures programmatically and execute trades based on them using MQL5. This includes detecting key swing points, validating pattern rules, and preparing the EA to act on the signals it finds.
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  5. Price Action Analysis Toolkit Development (Part 30): Commodity Channel Index (CCI), Zero Line EA

    by , 07-05-2025 at 06:50 AM
    In this article, we build an MQL5-powered tool that simplifies price-action trading. The system automates a strategy based on four elements: a dual Commodity Channel Index (CCI), a 34-period Exponential Moving Average (EMA), the Average True Range (ATR), and pure price action. After reviewing each indicator and outlining the full trading strategy, we will walk through the step-by-step development of the Expert Advisor, test it, analyze the results, and draw conclusions. A summary of the other tools
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