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Trading Algorithm Based on Technical Indicators and Artificial Intelligence

Author

Listed:
  • Spătăcean Ioan-Ovidiu

    (George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Romania)

  • Sárdi Tamara

    (Golgring SA, Investment Company, Târgu Mureș, Romania)

Abstract

This paper investigates the capacity of individual investors, without advanced IT competencies, to create, test, and operate trading robots (Expert Advisors). The algorithmic strategy, based on identifying Supply / Demand zones and filtering volatility using the Average True Range (ATR), was generated with a cost-based AI chatbot and rigorously tested within the MetaTrader 5 platform. The research confirms that, although AI offers a viable framework, the fine optimization of indicator parameters is crucial for risk-adjusted profitability.

Suggested Citation

  • Spătăcean Ioan-Ovidiu & Sárdi Tamara, 2025. "Trading Algorithm Based on Technical Indicators and Artificial Intelligence," Acta Marisiensis. Series Oeconomica, "George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology of Târgu-Mureș, România - Faculty of Economics and Law, vol. 1, pages 89-96, December.
    • Handle: RePEc:pmu:oecono:v:1:y:2025:p:89-96
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    Keywords

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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