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Creating a Trading Bot in Python Based on Technical Analysis Indicators

Student: Bagrov Kirill

Supervisor: Ilya Sorokin

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

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2024

Investors and traders aim to preserve and increase their capital. For this purpose, traders make transactions in the financial market, aiming to buy a financial asset at a lower price and sell it at a higher price, thus making a profit. However, trading and monitoring price dynamics can be time-consuming and require significant effort. The purpose of this paper is to assist traders in making successful transactions in the financial market while minimizing their involvement in the process. The research methodology involves studying the current practices of using technical analysis indicators and creating trading bots. The acquired knowledge will be applied to develop a trading strategy. To achieve this, it is necessary to select a winning combination of indicators for the chosen asset and timeframe and to establish the rules for buying and selling the asset. Next, optimisation and testing of the strategy are done. If the performance of the trading system during testing is unsatisfactory, a new combination of indicators is selected and new trading rules are developed. The result of the research is a developed trading bot in the Python programming language that utilises the obtained strategy. This programme is able to perform transactions in automatic mode.

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