Machine learning in trading: a trading robot based on a deep learning model
- 1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)
Abstract
Now investing is one of the most popular income growth tools. One of the possible attractive investment options is the development of trading robots that can presumably adapt to changing market conditions and provide high returns for investors. The use of reinforcement learning in trading robots is becoming a particularly promising area, as it allows them to effectively analyze and make decisions based on complex data.
- Received
- 30.06.2024
- Approved after review
- 24.07.2024
- Accepted
- 26.11.2024
How to cite
Добрина М.В., Каверина В.К. Машинное обучение в трейдинге: торговый робот на базе модели глубокого обучения // Нейрокомпьютеры: разработка, применение. 2024. T. 26. № 6. С. 49-54. DOI: https://doi.org/10.18127/j19998554-202406-07
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