Introduction to Forex Algorithmic Trading [Metatrader 4]

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$99,99

This course is designed for all those who want to work with systems based on statistical advantage, exploiting inefficiencies in the Forex markets instead of falling into randomness and uncertainty.

You will learn from scratch everything necessary to achieve it and thus obtain a functional working methodology in algorithmic trading.

 

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Description

Introduction to Forex Algorithmic Trading:

This course is hosted at Udemy so you can benefit from all their advantages in learning. 

About this course:

This course is designed for all those who want to work with systems based on statistical advantage, exploiting inefficiencies in the Forex markets instead of falling into randomness and uncertainty.

In this course you will learn what the Forex market is, how it works, and how to program tools to search for inefficiencies to later convert them into trading systems and exploit them in a live environment step by step.

You will learn from scratch everything necessary to achieve it and thus obtain a functional working methodology in algorithmic trading.

Course System - Algorithmic Trading
An algorithmic trading system made in the course

Who is this course for?

This algorithmic trading course is directed for anyone that wants to trade with Algorithms and learn how to make them and research the markets with a validated methodology that relies on data and not subjective factors like Technical Analysis.

Course contents:

This course intends to cover everything you need to learn from scratch. That means:

  • What is the Forex Market and how it really works.
  • How to code in MQL4 – First scripts, indicators and systems.
  • Create our edges searching tools.
  • Converting edges into trading systems.
  • Research lab, how to extract and create new trading strategies.
  • Validation and portfolio creation process.

And much more.

The final objective is to make you able to set up your own trading environment where you can research your own ideas and test them using a data based approach.

victor

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