
Transition from python or javascript to mql4 programming with a course that builds trading bots and expert advisors, plus a cheat sheet of the most used functions.
Take notes, write questions, and type the code yourself after each section; practice with the provided resources to learn the MQL4 language and framework and start programming 90% of ideas.
Explore the basics of financial markets with a focus on forex, CFDs, and trading concepts like Metatrader, stop loss, take profit, and risk reward to build foundation for trading bots.
Master market fundamentals for trading bots, including points, pips, ticks, and price changes. Use Japanese candles, time frames, bid and ask, spread, and lot size for risk and sizing.
Master the basics of C and C++ syntax in MQL4 by learning data types such as int, double, string, and char; understand semicolon usage, comments, and for and while loops.
Open the meta editor, create a new expert advisor file. Learn that on tick is the core, with init for initialization and on deinit for deinitialization.
Develop and code your first trading strategy by defining entry and exit rules, managing trades, and applying rule-based candlestick patterns like bullish and bearish engulfing on a one-hour timeframe.
Code your first trading strategy in MQL4 by creating the expert advisor strat1 and a new bar function that returns a boolean to detect a new candle closing.
Learn to identify bullish and bearish engulfing candles and code entry and exit rules in MQL4, using new bar events, candle data, and order send for live trades.
Open the Metatrader strategy tester, select your expert advisor and symbol, choose data model every tick for realistic testing, and review results, journal logs, and charts to validate your bot.
This lecture upgrades the first strategy by parameterizing the time frame and making position size a percentage. It explains ATR-based stop loss and take profit for volatile markets.
Code the time frame as a parameter and use ATR with a multiplier to set stop loss and take profit, via a new open trade function for buys and sells.
Calculate position size from a risk percentage by using account balance, value to risk, stop loss distance, and tick value, then normalize to two decimals.
Learn how to test a strategy in the strategy tester, diagnose journal errors like 130 and invalid stops, and fix stop loss logic with ATR-based take profit and timeframe alignment.
Explore the RSI in a new strategy, using configurable levels for buys and sells, adjustable period, and one-trade-at-a-time rules with trailing stops for backtesting.
Add an RSI based confirmation to the third strategy by implementing an RSI with lower and upper levels (30 and 70) to signal buys when oversold and sells when overbought.
Code a new function in MQL4 to count currently running trades, using order select by position and symbol checks to prevent overlapping trades.
Implement a trailing stop in mql4 using ATR-based distance and a trailing stop multiplier, updating the stop loss as price moves, with no take profit.
Test and debug strategy three in the strategy tester, focusing on a trailing stop driven by the atr and rsi confirmation, with live trade management in MetaTrader.
Explore differences between mql4 and mql5, learn how to transition code, and master retrieving indicator values with handles, buffers, and copy buffer in mql5.
Explore a cheat sheet of the most used MQL4 functions for trading strategies, a documentation file not for compilation, with building blocks to adapt and accelerate expert advisor development.
Explore the trading part to speed up mql4/mql5 development, and learn broker limitations. Stay organized, use forums, and practice by implementing three ideas.
Learn MQL4 Programming and Build Your Own Trading Robots — Fast
In this course, I’ll teach you how to program in MQL4 and help you understand the core building blocks of algorithmic trading strategy development.
If you already have experience in any programming language and want a fast and practical transition into the growing world of trading automation — this course is made for you.
Why Learn MQL4?
Algorithmic trading is one of the fastest-growing fields in finance and tech. Whether you want to:
Work as a freelance MQL developer
Build your own Expert Advisors (EAs)
Turn your trading ideas into live bots
Or just expand your skill set in a new industry…
This course will show you exactly how to do it.
Don’t Know Trading? No Problem.
We start with the basic trading principles every algorithmic trader or developer should know — explained simply and directly.
Even if you’ve never traded before, by the end of the first few sections, you'll feel confident navigating the MetaTrader platform and understanding key market concepts.
We Learn by Doing — Code Along in Real Time
This is not just a theory course. You’ll learn by building.
We’ll create a simple trading strategy together and gradually upgrade it into a fully functional, feature-rich Expert Advisor.
You’ll see:
How to write, structure, and organize real MQL4 code
How to debug errors as they happen (yes, I show everything)
How to think like an MQL developer working on real projects
You'll code along, watch me work through bugs, and build your own trading robots step-by-step.
What You'll Gain by the End
By the end of this course, you’ll be able to:
Develop your own robust and efficient Expert Advisors (EAs)
Understand how trading bots are built, tested, and optimized
Take client ideas and turn them into working code
Confidently work on freelance MQL4/5 projects
Extend your skills further into MetaTrader 5 (MQL5) with ease
Requirements
Basic programming knowledge (any language: Python, C, Java, etc.)
No trading experience required
MetaTrader 4 (free download)
This course is precise, intense, and real-world focused.
If you want to move fast and learn MQL4 programming the way professionals do — join now and start building trading bots today.