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  1. Developing a trading robot in Python (Part 3): Implementing a model-based trading algorithm

    by , Today at 02:26 PM
    In the first article of the series, we loaded the dataset, placed labels, enriched the dataset and also performed dataset labeling. The second article was devoted to the creation and training of the model, as well as implementation of cross-validation and bagging.

    Now that our model is trained and tested, it is time to start real trading using the MetaTrader 5 library for Python. This powerful library allows us to automate trading directly through Python using the functions
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  2. Neural Networks Made Easy (Part 93): Adaptive Forecasting in Frequency and Time Domains (Final Part)

    by , Today at 08:36 AM
    In the previous article, we got acquainted with the ATFNet algorithm, which is an ensemble of 2 time series forecasting models. One of them works in the time domain and constructs predictive values of the studied time series based on the analysis of signal amplitudes. The second model works with the frequency characteristics of the analyzed time series and records its global dependencies, their periodicity and spectrum. Adaptive merging of two independent forecasts, according to the author
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  3. MQL5 Wizard Techniques you should know (Part 46): Ichimoku

    by , Yesterday at 01:30 PM
    The Ichimoku Kinko Hyo, that is often referred to as the Ichimoku Cloud, is a wide-embracing technical analysis system designed to provide a holistic view of market trends; support and resistance levels; as well as momentum. Developed in the late 1930s and refined over the subsequent three decades, Ichimoku Kinko Hyo translates from Japanese to "one-look equilibrium chart" or "at-a-glance balance chart,"; names which emphasize its design to offer a single, detailed perspective on the market
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  4. Automating Trading Strategies in MQL5 (Part 3): The Zone Recovery RSI System for Dynamic Trade Management

    by , Yesterday at 07:04 AM
    In the previous article (Part 2 of the series), we demonstrated how to transform the Kumo Breakout Strategy into a fully functional Expert Advisor (EA) using MetaQuotes Language 5 (MQL5). In this article (Part 3), we focus on the Zone Recovery RSI System, an advanced strategy designed to manage trades and recover from losses dynamically. This system combines the Relative Strength Index (RSI) to trigger entry signals with a Zone Recovery mechanism that places counter-trades when the market moves
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  5. How to build and optimize a volume-based trading system (Chaikin Money Flow - CMF)

    by , 01-09-2025 at 07:02 AM
    Welcome to a new article where we explore new indicators in terms of creating them, building trading systems based on their concept, and optimizing these systems to get better insights and results regarding profits and risks. In this article, we will introduce a new volume-based technical indicator called the Chaikin Money Flow (CMF) indicator.
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