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  1. Automating Trading Strategies in MQL5 (Part 2): The Kumo Breakout System with Ichimoku and Awesome Oscillator

    by , 12-26-2024 at 07:20 AM
    In the previous article (Part 1 of the series) we demonstrated how to automate the Profitunity System (Trading Chaos by Will Williams). In this article (Part 2), we demonstrate how to transform the Kumo Breakout Strategy into a fully functional Expert Advisor (EA) in MetaQuotes Language 5 (MQL5). The Kumo Breakout Strategy uses the Ichimoku Kinko Hyo indicator to identify potential market reversals and trend continuations, with price movements relative to the Kumo (cloud)—a dynamic support
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  2. Pharrell, Elton John, Lainey Wilson Land on Oscars’ Best Original Song Shortlist

    by , 12-20-2024 at 07:03 AM


    Songs by Pharrell, Elton John, and Lainey Wilson, as well as multiple selections from Emelia Pérez, have made the Oscars’ shortlist for Best Original Song.

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  3. Trading with the MQL5 Economic Calendar (Part 1): Mastering the Functions of the MQL5 Economic Calendar

    by , 12-03-2024 at 09:31 AM
    In this article, we explore the powerful features of the MetaQuotes Language 5 (MQL5) Economic Calendar and how they can be integrated into algorithmic trading. The Economic Calendar, incorporated in the trading terminal, MetaTrader 5, is a crucial tool for traders, providing essential news and data that can significantly impact market movements. By understanding how to retrieve and interpret this information, we can gain an edge in forecasting market reactions to economic events and adjust
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  4. Neural Networks Made Easy (Part 90): Frequency Interpolation of Time Series (FITS)

    by , 12-01-2024 at 09:39 AM
    In the previous articles, we discussed the FEDformer method that uses the frequency domain to find patterns in a time series. However, the Transformer used in that method can hardly be referred to as a lightweight model. Instead of complex models that require large computational costs, the paper "FITS: Modeling Time Series with 10k Parameters" proposes a method for the frequency interpolation of time series (Frequency Interpolation Time Series - FITS). It is a compact and efficient solution for
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