AI-Driven Intraday Trading: Applying Machine Learning and Market Activity for Enhanced Decision Support in Financial Markets

In response to the unpredictable fluctuations in the global economic landscape, and with the aim of mitigating overnight risks, the stock market has seen a substantial increase in the number of day traders. However, day traders often fall prey to emotional influences, resulting in abrupt and irratio...

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Bibliografische Detailangaben

Hauptverfasser:	Min-Chih Hung, An-Pin Chen, Wan-Ting Yu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Artificial intelligence (AI) day trading market logic physical-force behavior trading strategy
Online-Zugang:	https://ieeexplore.ieee.org/document/10403877/
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