JOINT PURCHASES ALGORITHMIC TRADING IN MQL5: CODE ROBOTS & FREE UP YOUR TIME

Тема в разделе "Video courses, trainings, educational material", создана пользователем admin, 15 фев 2024.

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    ALGORITHMIC TRADING IN MQL5: CODE ROBOTS & FREE UP YOUR TIME

    Learn How To Code A Trading Robot From Scratch In MQL5 Programming Language + Complete + Trading Bot (Forex, Crypto ...)

    What you'll learn
    • How to build a completely automated trading robot (expert advisor) that can trade in different markets (e.g. forex, crypto, indices, stocks, commodities)
    • How to program in the most popular language for trading in the financial markets (MQL5)
    • A well-known popular trading system
    • How to read and interpret the markets with algorithms
    • How to send, modify and close market orders
    • The basics of backtesting and optimization of trading robots in Metatrader 5
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    Requirements
    • Only requirement: willingness to learn
    • Trading knowledge is not required
    • Programming experience is not required
    Description
    In this course you will learn how to completely automate your trading coding a trading robot (expert advisor). We will develop an expert advisor from scratch that can trade on different financial markets, such as forex, cryptocurrencies, stocks, indices or futures.
    • In the first section we will review the Metatrader 5 platform (MT5) and have a first look at the MQL5 language and programs.
    • Sections 2 to 5 focus on the MQL5 language fundamentals. During these sections we will cover all of the language basic features, providing you with many trading-related examples and assignments that will keep the content engaging while brief enough to speed you up to the most exciting part of the course, sections 6 to 12.
    • In section 6 we will introduce you to expert advisors and a well-known and popular trading system that has been used extensively in the past.
    • In sections 7 to 11 we will apply all the knowledge acquired in previous lessons to develop a trading robot that automates a trading system and trades non-stop while the markets are open.
    • Finally, in section 12 we will backtest and deploy the trading robot in different markets to review that it applies the trading system correctly.
    Now is the right time to learn algorithmic trading.

    In today’s modern markets, the share of algorithmic trading in volume terms stands around 70-80 per cent, and there are several reasons for that:
    1. Algorithmic trading allows you to trade as many strategies or markets as your computing power provides, overcoming human limitations that constrain manual traders.
    2. Automating your strategies frees up time from repetitive screening of the markets that you can then allocate to research, leisure, or other activities. Furthermore, robots can trade 24/7 which mean they can trade any session, at any time and without rest, which is impossible to do for a single human.
    3. Emotionless and error-free. Algorithms read patterns and apply pre-established coded rules without experiencing fear or any other emotions, which means that robots do not commit mistakes, programmers do.
    4. Algorithmic trading will not only automate your trading, but also it is the first step to trade like a quant, which means that every decision you take will be backed by data and statistics that will be provided by your algorithms and this will increase your chances of success in the markets.
    5. Backtesting and optimization is much faster and comprehensive through algorithms than through manual means with spreadsheets, which will allows you to know the performance of a strategy in the past and, again, increase your chances of success in the markets.
    Who this course is for:
    • Traders of any experience that desire to free-up their time from monitoring the charts
    • Traders who want to improve their trading performance through quantitative automated trading
    • Anyone who would like to learn how to program in MQL5 and similar programming languages like C++, C# or java
    Seller's website:
    Price: 75$