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Advanced Technologies and Behavioral Biases in Trading: A Qualitative Study on the Use of Technological Tools by Individual Traders
[Technologies avancées et biais comportementaux en trading : Une étude qualitative sur l’usage des dispositifs technologiques par les traders individuels]

Author

Listed:
  • Chaimaa Laamime,

    (École Nationale de Commerce et de Gestion (ENCG), Université Hassan II de Casablanca, Maroc)

  • Karima Mialed

    (École Nationale de Commerce et de Gestion (ENCG), Université Hassan II de Casablanca, Maroc)

Abstract

This study explores the impact of advanced financial technologies—artificial intelligence, predictive algorithms, intelligent trading platforms, and big data—on the decision-making processes of individual traders. Based on qualitative fieldwork with 30 Moroccan traders, the research shows that while digital tools can help reduce cognitive overload and emotional stress, they may also reinforce algorithmic overconfidence, excessive delegation of judgment, or illusions of control. The study highlights that the effects of these technologies are context-dependent, shaped by traders' techno-cognitive profiles, experience, and financial literacy. It contributes to behavioral finance by offering an integrated techno-behavioral perspective in the context of an emerging market.

Suggested Citation

  • Chaimaa Laamime, & Karima Mialed, 2025. "Advanced Technologies and Behavioral Biases in Trading: A Qualitative Study on the Use of Technological Tools by Individual Traders [Technologies avancées et biais comportementaux en trading : Une ," Post-Print hal-05243730, HAL.
    • Handle: RePEc:hal:journl:hal-05243730
    Note: View the original document on HAL open archive server: https://hal.science/hal-05243730v1
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