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MQL5: Creating Trading Robots and Indicators

Advanced use of the MetaTrader 5 trading platform

MQL5: Creating Trading Robots and Indicators

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Udemy Course Offer Description

This course will introduce you to the practical use of MetaQuotes Language 5 (MQL5) - the programming language of technical indicators, trading robots and helper applications for automating trading in financial markets using the MetaTrader 5 trading platform.

In this course, you will learn how to create MQL5 applications using both procedural programming and object-oriented programming.

You will get acquainted with the general structure and properties of technical indicators - MQL5 applications designed to analyze quotes of currencies and stocks.

You will learn how to use the MQL5 callback functions to create custom indicators by implementing your own market analysis algorithms in addition to the indicators already integrated into the MetaTrader 5 trading platform.

You will get acquainted with the general structure of Expert Advisors - MQL5 applications that can automatically place and close orders for the purchase and sale of a financial instrument, thus, carrying out automatic trading in the client terminal of the MetaTrader 5 trading platform.

You will learn how to use the MQL5 callback functions to create your own advisors that implement an automated trading system that is tied to a particular chart of a financial instrument.

You will learn how to work in the MetaEditor development environment, which provides all the modern tools for writing code, including templates, snippets, debugging, profiling, auto-completion, and the integrated versioned storage of MQL5 Storage.

You will get acquainted with the built-in MetaTrader 5 terminal tester that allows you to test and optimize the input parameters of the adviser using historical data of financial instruments.

You will learn how to create Expert Advisors using the MQL5 Wizard that allows you to generate expert code based on ready-made modules.

You will get acquainted with genetic algorithms to create a self-optimizing adviser.

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