Investment decision making system for financial markets

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The article presents an algorithmic trading system based on an arbitrary number of exponentially moving averages and using a flexible money management system. The trading system was tested on historical data. The results of computer simulations allow us to conclude that it is possible to use a trading system to carry out transactions in modern financial markets automatically, i. e. without human participation. The system has been implemented as a desktop application using Python programming language.

Financial markets, automation, programming, technical analysis, algorithmic trading

Короткий адрес: https://sciup.org/148330046

IDR: 148330046   |   DOI: 10.18137/RNU.V9187.24.03.P.16

Статья научная