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Particle Stock Algorithm for Stock Prediction

Student: Bukata Alexandr

Supervisor: Dmitry Borisovich Mokeev

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Data Mining (Master)

Final Grade: 8

Year of Graduation: 2019

Stock price trend forecasting has always been a challenging task for researchers and investors. In that study, a system for short-term trading was introduced, based on an algorithm, XGBoost, for price trend forecasting and particle swarm optimization for XGBoost hyperparameters optimizing.

Full text (added May 23, 2019)

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