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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. Pattern Recognition Using Dynamic Time Warping in MQL5

    by , 02-23-2025 at 05:30 AM
    Pattern recognition has always been a valuable tool for traders. Whether it's identifying unique combinations of candlesticks or drawing imaginary lines on a chart, these patterns have become an integral part of technical analysis. Humans have always excelled at finding and recognizing patterns—so much so that it is often said we sometimes see patterns where there are none. Therefore, it would benefit us to apply more objective techniques when identifying potentially profitable patterns in
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  3. MQL5 Wizard Techniques you should know (Part 45): Reinforcement Learning with Monte-Carlo

    by , 12-08-2024 at 01:20 PM
    This article continues our look at reinforcement learning by considering another algorithm, namely the Monte-Carlo. This algorithm is very similar and in fact arguably encompasses both Q-Learning and SARSA in that it can be either on-policy or off-policy. What sets it apart though is the emphasis on episodes. These simply are a way of batching the reinforcement learning cycle updates, that we introduced in this article, such that the updating of the Q-Values of the Q-Map happens less frequently.
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  4. Building A Candlestick Trend Constraint Model (Part 9): Multiple Strategies Expert Advisor (II)

    by , 12-07-2024 at 11:53 AM
    In the 20th century, Richard Donchian established a trend-following strategy through his studies of financial markets, which later evolved into the Donchian Channels. We briefly discussed his work in a previous article, but today we will focus on implementing the strategies associated with his theory. According to various sources, the channels are believed to encompass multiple strategies within their framework. The abundance of literature on Donchian Channels suggests the continued effectiveness
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  5. Neural Network in Practice: Least Squares

    by , 11-14-2024 at 02:45 PM
    In the previous article Neural Network in Practice: Secant Line, we began to discuss applied mathematics in practice. However, this was only a short and quick introduction to the topic. We have seen that the basic mathematical operation to be used is the trigonometric function. And, contrary to what many think, this is not a tangent function but a secant function. Although this may all seem quite confusing at first, you will soon find that everything is much simpler than it seems. Unlike
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