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Abstract
Rapidly evolving and changing technology is impacting almost every aspect of our lives and has become one of the indispensable elements. In today's world, where the survival and continuity of individuals or institutions are built on comfort and convenience, the decision-making processes of individuals or institutions have become quite challenging. This difficulty is expressed as increasing alternatives and criteria. In this context, the need for multi-criteria decision-making mechanisms in individuals' decision-making, especially in investment processes, is increasing. In this scope, the aim of the study is to determine the effect of multi-criteria decision-making methods in the selection of algorithmic trading strategies. Within the scope of the study, the stocks of Group 1 in the Borsa Istanbul Star Market were subjected to performance tests in 11 different algorithmic trading strategies, and alternative strategies were ranked by determining the weights using multi-criteria decision-making methods. As a result of the research, the criterion weights according to AHP were as follows: Profit Factor 0.558, Number of Trades 0.263, Return 0.122, Maximum Drawdown Rate 0.057. According to the CRITIC method, the criterion weights were as follows: Profit Factor 0.412, Number of Trades 0.237, Return 0.173, Maximum Drawdown Rate 0.177. The alternative strategy rankings were as follows according to AHP: A5 > A4 > A9 > A2 > A7 > A6 > A10 > A1 > A3 > A8 > A11, while according to the CRITIC method, the alternatives were ranked as A5 > A2 > A9 > A4 > A7 > A6 > A1 > A3 > A10 > A8 > A11.
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