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

Chaimaa Laamime, () and Karima Mialed ()
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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

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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.

Keywords: Advanced technologies; Individual traders; Emerging markets; Artificial intelligence; Cognitive biases; Technologies avancées; Traders individuels; Biais cognitifs; Intelligence artificielle; Marché émergent (search for similar items in EconPapers)
Date: 2025-08-15
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Published in Revue Française d'Economie et de Gestion , A paraître, 6 (8), pp.576-603

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