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  1. Building A Candlestick Trend Constraint Model (Part 9): Multiple Strategies Expert Advisor (I)

    by , Yesterday at 04:33 PM
    From the beginning of this article series, our emphasis has been on aligning our experts with the prevailing sentiment of the daily (D1) candles. The shape of the daily candle has served as the primary guiding feature. However, we needed to scale down to lower timeframes to identify entry levels within the D1 market. For example, at the M1 timeframe, we wanted the market to reach extreme levels on the Relative Strength Index (RSI) to signal potential trades for the Expert Advisor. At this
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  2. Lady Gaga Proves Why She’s a Once-in-a Generation Pop Icon During Coachella Set

    by , Yesterday at 04:09 PM


    Gothic gargoyles appeared, lights dimmed, and the crowd chanted the prima donna’s name at the desert operahouse. It was Friday night at Coachella and Lady Gaga was about to tell the story of Mayhem — and give the performance of a lifetime.

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  3. Creating an MQL5-Telegram Integrated Expert Advisor (Part 4): Modularizing Code Functions for Enhanced Reusability

    by , 04-11-2025 at 05:41 AM
    In the preceding article of this series, we delved into the process of sending chart snapshots with captions from MetaTrader 5 to Telegram. Our approach, while effective, was rather straightforward and somewhat inflexible. We chained together the components necessary to capture a screenshot, convert or encode it into a message-friendly form, and send it along to Telegram. Although this setup worked, it resulted in a fair bit of code that was repetitive and not all that manageable. So, what
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  4. Neural Networks in Trading: Unified Trajectory Generation Model (UniTraj)

    by , 04-09-2025 at 09:59 AM
    The analysis of multi-agent behavior plays a crucial role in various domains, including finance, autonomous driving, and surveillance systems. Understanding agent actions requires solving several key tasks: object tracking, identification, trajectory modeling, and action recognition. Among these, trajectory modeling is particularly significant in the process of analyzing agent movements. Despite the complexities associated with environmental dynamics and subtle agent interactions, significant
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  5. Neural Networks Made Easy (Part 83): The "Conformer" Spatio-Temporal Continuous Attention Transformer Algorithm

    by , 04-08-2025 at 06:05 AM
    The unpredictability of financial market behavior can probably be compared to the volatility of the weather. However, humanity has done quite a lot in the field of weather forecasting. So, we can now quite trust the weather forecasts provided by meteorologists. Can we use their developments to forecast the "weather" in financial markets? In this article, we will get acquainted with the complex algorithm of the "Conformer" Spatio-Temporal Continuous Attention Transformer, which was developed
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