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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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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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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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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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The Treasury Department kicked off this week's series of announcements of the results of its long-term securities auctions on Monday, revealing this month's auction of $56 billion worth of three-year notes attracted below average demand. The three-year note auction drew a high yield of 4.256 percent and a bid-to-cover ratio of 2.60.

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