首页|Reports Outline Machine Learning Research from Ibn Tofail University (A comparat ive study of ensemble learning algorithms for high-frequency trading)
Reports Outline Machine Learning Research from Ibn Tofail University (A comparat ive study of ensemble learning algorithms for high-frequency trading)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on artificial intelligence are present ed in a new report. According to news reporting from Kenitra, Morocco, by NewsRx journalists, research stated, “High-Frequency Trading utilizes powerful mathema tical algorithms to execute transactions at an extremely rapid pace, which makes the use of machine learning techniques for prediction necessary. This paper eva luates the effectiveness of various ensemble learning algorithms, including Boos ting (Adaboost and XGBoost), Bagging (Random Forest and Bagging-LSVM), and Stack ing, in predicting stock prices using High-Frequency Trading (HFT) data from the Casablanca Stock Exchange.”
Ibn Tofail UniversityKenitraMoroccoAfricaAlgorithmsCyborgsEmerging TechnologiesFinanceMachine Learning
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