Where Do I start from? - page 17

[Sergey Golubev]

From Novice to Expert: Demystifying Hidden Fibonacci Retracement Levels

Fibonacci retracement levels are widely used but, sometimes price reacts to intermediate or repeated non-standard ratios. Our question is, can we use systematic, data-driven methods to discover such levels, test whether they occur more often than once, and, if robust, add them as first-class levels in our trading tools and strategies?

[Sergey Golubev]

How to publish code to CodeBase: A practical guide

CodeBase is the largest repository of free programs for the MetaTrader 5 and MetaTrader 4 platforms. Here, traders and developers can share their scripts, indicators, EAs, and other useful tools written in MQL5. Publishing your own code to CodeBase is a great way to contribute to the community, get feedback, build your reputation, and even attract potential clients.

In this article, we will look at publishing various types of programs in CodeBase: from simple scripts and indicators to EAs with include files. Using real-life examples, we will focus on step-by-step process of publishing each type of program. The article will be useful for those who have decided to post their works for public use for the first time. We will provide general recommendations for publication design – texts and images, codes and attached files.

[Sergey Golubev]

Introduction to MQL5 (Part 22): Building an Expert Advisor for the 5-0 Harmonic Pattern

This article will teach you how to recognize the 5-0 pattern automatically in an Expert Advisor and detect it programmatically. You will learn how to determine the 5-0 structure's major turning points (0, X, A, B, C, and D), calculate and validate Fibonacci ratios specific to it, and visually represent the pattern on the chart. By the end of this article, you will know how to convert the technical idea underlying the 5-0 pattern into functional MQL5 code that can analyze price action automatically.

[Sergey Golubev]

Introduction to MQL5 (Part 23): Automating Opening Range Breakout Strategy

This article will explain the Opening Range Breakout (ORB) strategy and show you how to use MQL5 to automate it. You'll learn how to set trade conditions, record the opening range, and configure your Expert Advisor to make trades automatically in response to breakouts. To make sure that entries only take place during the specified market window, we'll also look at how to employ time-based logic to regulate when trades are permitted to execute. By the end, you will know exactly how to use MetaTrader 5 to turn this classic trading strategy into a fully automated trading system.

[Sergey Golubev]

Introduction to MQL5 (Part 24): Building an EA that Trades with Chart Objects

Welcome back to Part 24 of the Introduction to MQL5 series! In this article, we’ll take a major step forward by combining manual chart analysis with automated trading execution. In particular, we'll build an Expert Advisor that makes trades straight from chart objects like rectangles, trend lines, and support and resistance lines.

[Sergey Golubev]

Introduction to MQL5 (Part 25): Building an EA that Trades with Chart Objects (II)

Welcome back to Part 25 of the Introduction to MQL5 series! In the previous article, we explored how combining manual chart analysis with automated trading execution using chart objects helps bridge the gap between discretionary and automated trading. That project focused on support and resistance zones drawn with the Rectangle tool.

[Sergey Golubev]

From Novice to Expert: Parameter Control Utility

Today, we continue building on the foundation established in our previous article. If you’ve been following along, you’ll recall that we developed an indicator designed to visualize higher-timeframe (HTF) periods directly on lower-timeframe charts. This concept turned out to be a powerful analytical tool, revealing the intricate price movements hidden within the larger bars of higher timeframes.

[Sergey Golubev]

Introduction to MQL5 (Part 26): Building an EA Using Support and Resistance Zones

We looked at how to manually set up support and resistance zones using the rectangle chart object in Part 24 of this series. This allowed you to create a semi-automated trading system that reacts to the zones you draw. However, what if you want the EA to automatically, without human assistance, identify every support and resistance zone on the chart? This article will specifically address that. As usual, we will cover MQL5 principles in a hands-on, beginner-friendly manner using a project-based approach. You'll discover how to identify these zones programmatically, track price movements surrounding them, and create an EA that responds sensibly to possible reversals.

[Sergey Golubev]

From Novice to Expert: Revealing the Candlestick Shadows (Wicks)

Every candlestick on a chart represents a small yet intricate story of market behavior—a dynamic interaction between buyers and sellers compressed into a single bar. In our earlier work, we built the Market Periods Synchronizer, a system designed to visualize higher-timeframe (HTF) structures within lower-timeframe charts. That project successfully isolated and filled the bodies of major candles, enabling traders to observe how lower-period movements collectively form those larger bars.

[Sergey Golubev]

From Novice to Expert: Forex Market Periods

Today’s challenge is to leverage MQL5 to visualize these market session periods, aligning them seamlessly with higher- and lower-timeframe structures. By synchronizing the open and close of these sessions, we aim to better understand how each one influences the next—and how timing truly powers price movement. Another fascinating mystery to uncover lies in the realization that financial candlesticks themselves represent time-based bars—typically denoting hourly, daily, or weekly periods. By applying the same concept to market sessions, we can create session-based candlesticks, each reflecting the unique characteristics of that trading window. Just like traditional timeframes, every session possesses its own Open, High, Low, and Close (OHLC) structure, telling a distinct story of activity, sentiment, and volatility within that period.