Articles with MQL5 programming examples
Access a huge collection of articles with code examples showing how to create indicators and trading robots for the MetaTrader platform in the MQL5 language. Source codes are attached to the articles, so you can open them in MetaEditor and run them to see how the applications work.
These articles will be useful both for those who have just started exploring automated trading and for professional traders with programming experience. They feature not only examples, but also contain new ideas.
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From Basic to Intermediate: Operator Overloading (V)
In this article, we will look at how to modify the code to implement a solution entirely unlike what many consider possible in MQL5. Important note: To fully understand this material, you must have a solid grasp of the concepts covered in the previous articles.
From Basic to Intermediate: Queues, Lists, and Trees (VII)
In this article, we will clearly and simply demonstrate and explain how to remove a node from a tree. This process usually confuses beginners rather than helping them understand how it's done and why it needs to be done that way.
Engineering Trading Discipline into Code (Part 9): Building a Trade Activity Audit Trail in MQL5
Trade authorization controls what a cooperating Expert Advisor is permitted to send, but not every account action passes through that code. A trade may originate from the desktop terminal, a mobile device, the web terminal, or another Expert Advisor. This installment develops an independent auditor that records live transaction stages through OnTradeTransaction(), reconciles available historical orders and deals within a configured recovery window, and writes an account-bound CSV journal. An on-chart panel summarizes the selected period and provides refresh, detail, and export controls without modifying trades.
From Basic to Intermediate: Operator Overloading (III)
In this article, we will examine how to implement overloading for both logical operators and comparison operators. This requires a certain amount of caution and a fair amount of attention. Even a minor oversight when implementing the overloading of these operators can render the entire code completely unusable. If any problems arise in the overloading, the entire database created from the results generated by the code will have to be either discarded completely or, at the very least, reviewed in full.
Where your backtest stops being real: Measuring the depth of your broker's tick history
In the "Every tick based on real ticks" mode, the Strategy Tester's journal reports the minutes for which real ticks were absent or discarded and says that every tick generation was used for them. We show where the journal records this, measure how far back usable tick history goes on two demo servers, and check the ticks from inside an Expert Advisor, so a test range can be chosen by its real-tick share.
From Basic to Intermediate: Queues, Lists, and Trees (VIII)
In this article, we will examine how to implement a tree balancing algorithm. Here, I will present my own version of an implementation of this algorithm. There are many other algorithms that serve the same purpose. Nevertheless, each of them has its own advantages and disadvantages. You, my dear reader, will need to explore them and find the one that best suits your needs.
The MQL5 Standard Library Explorer (Part 18): Building a Multi-Symbol Indicator Cache
The article introduces a centralized cache that serves indicators to multiple strategy nodes. It encodes full indicator identity in keys, stores Standard Library objects in CArrayObj entries, reuses matching instances, verifies readiness, refreshes data, and deletes each indicator on final release. Readers gain a predictable resource lifecycle and reduced duplication in multi‑symbol Expert Advisors.
The MQL5 Standard Library Explorer (Part 17): Building a Reusable Portfolio Manager with CArrayObj
We present a multi‑symbol EA structure that moves symbol‑specific state into independently initialized CStrategyNode objects and manages them with CPortfolioManager. Using CArrayObj with FreeMode, Add(), At(), Delete(), Total(), and Clear(), the manager ensures safe ownership and isolation, while timer‑driven routing and completed‑bar gates keep processing deterministic. This lets you scale portfolios, control risk per node, and avoid duplicated event handling.
Automating Classic Market Methods in MQL5 (Part 9): Linda Bradford Raschke's 3/10 Oscillator System
The article implements two swing setups in MQL5: Anti, which enters on the first 3/10 oscillator pullback after a signal line zero confirmation with price confirmation, and Holy Grail, which enters on the first pullback to the 20 EMA in a strong rising ADX trend. A single EA runs two independent state machines with precise entry and exit rules, ATR-based stops, and state recovery. You get runnable code and traceable logging.
Bimodal Market Profile with Delta and Memory in MQL5
The classic Market Profile from forty years ago is still replicated in dozens of indicators that differ only in the color of their bars. In this article, I examine three conceptual blind spots in the original theory — the monolithic Value Area in bimodal distributions, TPO’s blindness to the aggressor, and the lack of memory between sessions — and build an indicator that addresses each of them: bimodality detection with a dead zone, order flow via CopyTicksRange with absorption detection, and composite market memory using Naked POC and HVN/LVN. The complete source code is included.
Building A Candlestick Trend Constraint Model (Part 11): Revealing Lower-Timeframe Triggers Within Higher-Timeframe Candle Relationships
This article develops an A-B-C-D candlestick constraint model for MetaTrader 5. Candles A and B establish a completed D1 relationship, Candle C supplies a historical M1 setup, and closed M1 candles inside the developing Candle D either confirm or invalidate the sequence. We implement the design as a visual Expert Advisor with optional trading disabled by default, sequence-specific chart objects, restart-safe history reconstruction, spread and position gates, normalized trade parameters, and a reproducible testing plan.
Automating Classic Market Methods in MQL5 (Part 9): Linda Bradford Raschke's 3/10 Oscillator System
The article implements two swing setups in MQL5: Anti, which enters on the first 3/10 oscillator pullback after a signal line zero confirmation with price confirmation, and Holy Grail, which enters on the first pullback to the 20 EMA in a strong rising ADX trend. A single EA runs two independent state machines with precise entry and exit rules, ATR-based stops, and state recovery. You get runnable code and traceable logging.
Automating Chart Patterns in MQL5 (Part 3): The Head and Shoulders and Inverse Head and Shoulders
The article implements a deterministic MQL5 detector for head and shoulders and its inverse, validating structure from swing labels (HH, LH, HL, LL) rather than raw peak geometry. Seven ATR-aware checks enforce time order, pattern span, head clearance, shoulder symmetry, and height. A three-state lifecycle separates formation from neckline break, locks a setup, and prevents re-entry. Entries trigger only on a chart-timeframe close through the neckline.