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  1. Learn how to design a trading system by Awesome Oscillator

    by , 09-24-2022 at 06:57 AM
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    Here is a new article in our series about learning how to design a trading system based on the most popular technical indicators for beginners through learning the root of things. We will learn a new technical tool in this article and it will be the Awesome Oscillator indicator as we will identify it in more detail to learn what it is, what it measures, and how to use it based on the main concept behind it through simple strategies, and how to create
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  2. Learn how to design a trading system by Relative Vigor Index

    by , 09-22-2022 at 02:11 AM
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    Welcome to my new article in our series to learn new technical tools in detail and design a simple trading system with this tool. It is the Relative Vigor Index (RVI) indicator, we will cover it through the following topics:
    1. Relative Vigor Index definition
    2. Relative Vigor Index strategy
    3. Relative Vigor Index strategy blueprint
    4. Relative Vigor Index trading system
    5. Conclusion
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  3. CCI indicator. Upgrade and new features

    by , 09-18-2022 at 02:00 AM
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    Commodity Channel Index (CCI) is familiar to every trader. It was developed by Donald Lambert and first published in the Commodities magazine (now – Modern Trader) in 1980. Since then, this indicator has gained well-deserved fame and has become very popular among traders. It is present in the MetaTrader trading platform toolkit and is used both in manual trading and as part of automated trading systems.
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  4. Learn how to design a trading system by DeMarker

    by , 09-17-2022 at 02:25 AM
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    This new article from our series is about learning how to design trading systems based on the most popular technical indicators. We will learn a new technical tool or indicator in detail that can be used in our favor in trading. This indicator is the DeMarker indicator, we will cover it through the following topics:
    1. DeMarker definition
    2. DeMarker strategy
    3. DeMarker strategy blueprint
    4. DeMarker trading system
    5. Conclusion
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  5. Neural networks made easy (Part 19): Association rules using MQL5

    by , 09-15-2022 at 02:11 AM
    In the previous article, we started learning association rules mining algorithms which belong to unsupervised learning methods. We have considered two algorithms for solving this type of problems: Apriori and FP Growth. The bottleneck of the Apriori algorithm is its large number of database calls aimed at determining the support of Frequent Pattern candidates. The FP Growth method solves this issue by building a tree which includes the entire database. All further operations are carried out
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