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DEVELOPMENT OF PRICE ACTION PREDICTION ALGORITHMS IN PYTHON
UDK: 510.9
Xolmatova Nilufarxon Jahongir qizi
Student of the TUIT xolmatovan44@gmail.com
Abdurasulova Dilnoza Botirali kizi
assistant of the Fergana branch of the TUIT
abdurasulovad1@gmail.com
Abstract. This article explores the development of advanced price action prediction algorithms using Python. The study focuses on employing machine learning techniques to forecast future price movements in financial markets. Through extensive backtesting and evaluation, the effectiveness of these algorithms is assessed. The implementation is carried out in Python, utilizing popular libraries such as Pandas, NumPy, and Scikit-learn. The research aims to contribute to the field of algorithmic trading by providing insights into the design and performance of predictive models for price action.