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  1. Neural networks made easy (Part 75): Improving the performance of trajectory prediction models

    by , 08-15-2024 at 07:03 AM
    Forecasting the trajectory of the upcoming price movement probably plays one of the key roles in the process of constructing trading plans for the desired planning horizon. The accuracy of such forecasts is critical. In an attempt to improve the quality of trajectory forecasting, we complicate our trajectory forecasting models.
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  2. Neural networks made easy (Part 74): Trajectory prediction with adaptation

    by , 06-15-2024 at 07:05 AM
    Building a trading strategy is inseparable from analyzing the market situation and forecasting the most likely movement of a financial instrument. This movement often correlated with other financial assets and macroeconomic indicators. This can be compared with the movement of transport, where each vehicle follows its own individual destination. However, their actions on the road are interconnected to a certain extent and are strictly regulated by traffic rules. Also, due to the individual perception
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  3. Pair trading

    by , 06-10-2024 at 11:26 AM
    Currently, there are a huge number of trading strategies for every taste. All these strategies are aimed at making a profit. But making a profit is in one way or another connected with the risks - the greater the expected profit, the higher the risks. A logical question arises: is it possible to reduce trading risks to a minimum, while receiving small but stable profits? These conditions are met by pair trading.

    Pair trading is a variery of statistical arbitrage first proposed
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  4. Data Science and Machine Learning(Part 15): SVM, A Must-Have Tool in Every Trader's Toolbox

    by , 05-15-2024 at 08:36 AM
    Support Vector Machine (SVM) is a powerful supervised machine learning algorithm used for linear or nonlinear classification and regression tasks, and sometimes outlier detection tasks.

    Unlike Bayesian classification techniques, and logistic regression which deploy simple mathematical models to classify information, The SVM has some complex mathematical learning functions aimed at finding the optimal hyperplane that separates the data in an N-dimensional space.

    Support
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  5. Data Science and Machine Learning(Part 21): Unlocking Neural Networks, Optimization algorithms demystified

    by , 05-09-2024 at 08:34 AM
    It seems like everybody nowadays is interested in Artificial Intelligence, it's everywhere, and the big guys in the tech industry such as Google and Microsoft behind openAI are pushing for AI adaptation in different aspects and industries such as entertainment, healthcare industry, arts, creativity, etc.

    I see this trend also in the MQL5 community why not, with the introduction of matrices and vectors and ONNX to Metatrader5, It is now possible to make Artificial intelligence
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