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
more...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.
more...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.
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
Mini-articles with technical and fundamental analysis on the way as forecasts and levels -
https://www.mql5.com/en/channels/forecast
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