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Weaving market narratives as a coping strategy

How foreign exchange traders adapt to automation in financial markets

Bibliographic Data

ID22203992
AuthorsYaara Welcman (0000-0002-4124-7320, Tel Aviv University, corresponding author), Asaf Darr (0000-0002-2489-4796), Tamar Yogev (0009-0009-8688-8269)
Year2026
Volume13
Pages103060
Publication date2026-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Sciences & Humanities Open (JOURNAL)
Journal identifiersISSN: 2590-2911 • E-ISSN: 2590-2911
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ssaho.2026.103060
OpenAlexW4411863926
LanguageEN
References cited47

As financial markets become increasingly automated, the role of human traders faces existential challenges. This study examines how foreign exchange (FX) traders adapt to the rise of algorithmic trading by engaging in narrative construction, a form of cognitive and cultural coping. Drawing on ethnographic fieldwork in a high-volume FX dealing room, we show how traders “weave” market narratives to preserve professional agency, relevance, and expertise. These narratives serve as flexible interpretive tools that mediate the overwhelming influx of data and algorithmic decisions, enabling traders to define meaning, manage uncertainty, and maintain occupational identity. We argue that narrative weaving is not merely symbolic but a critical human strategy to co-exist with non-transparent, high-speed technologies. Our findings contribute to debates on the societal implications of automation by revealing how professionals adapt not only through upskilling but also through reasserting interpretive and relational capacities that resist full automation. The study advances our understanding of human-machine interaction in technologically mediated work, with implications for algorithmic governance and the future of expertise

Art · Automation · Business · Commerce · Economics · Financial market · Financial system · Foreign exchange · Foreign exchange market · Literature · Monetary economics · Narrative · Weaving · Art History and Market Analysis · Engineering · Psychology · Finance

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