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Titlebook: Computing Intelligence in Capital Market; Asef Yelghi,Aref Yelghi,Shirmohammad Tavangari Book 2024 The Editor(s) (if applicable) and The A

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樓主: inroad
11#
發(fā)表于 2025-3-23 10:05:26 | 只看該作者
https://doi.org/10.1007/978-3-319-01625-2nd the ARDL Bounds test for long-run relationships, as well as Johansen cointegration and two-stage Engle-Granger tests, were extensively used in the study. The study’s main objective is to investigate the “spillover effect” and “Co-movements” between the two variables. According to the model BEKK-G
12#
發(fā)表于 2025-3-23 13:57:40 | 只看該作者
https://doi.org/10.1007/978-3-319-01625-2ls. The strategy entails evaluating price movements and setting the threshold value for trading at these key levels. By closely studying the market, the technique seeks to find optimal entry and exit points based on recognized support and resistance levels. This method allows for a systematic approa
13#
發(fā)表于 2025-3-23 21:44:43 | 只看該作者
https://doi.org/10.1007/978-3-319-01625-2y. This paper explores the intersection of AI and economics, focusing on the role of AI in driving economic growth, efficiency, and innovation. It examines how AI is being integrated into different sectors, the potential benefits and challenges it presents, and the implications for the future of wor
14#
發(fā)表于 2025-3-23 22:58:05 | 只看該作者
15#
發(fā)表于 2025-3-24 03:51:32 | 只看該作者
16#
發(fā)表于 2025-3-24 08:53:16 | 只看該作者
Integrating Decision Analytics and Advanced Modeling in Financial and Economic Systems Through Artiemploying the transformative capabilities of artificial intelligence (AI). The integration of decision analytics, encompassing predictive modeling and prescriptive decision frameworks, with sophisticated AI-driven modeling techniques is explored as a means to enhance analytical capabilities and deci
17#
發(fā)表于 2025-3-24 13:38:41 | 只看該作者
Co-movements Between Bitcoin and Gold: Multivariate BEKK-GARCH Models,nd the ARDL Bounds test for long-run relationships, as well as Johansen cointegration and two-stage Engle-Granger tests, were extensively used in the study. The study’s main objective is to investigate the “spillover effect” and “Co-movements” between the two variables. According to the model BEKK-G
18#
發(fā)表于 2025-3-24 15:56:48 | 只看該作者
19#
發(fā)表于 2025-3-24 22:28:51 | 只看該作者
Unleashing Economic Potential: Exploring the Synergy of Artificial Intelligence and Intelligent Auty. This paper explores the intersection of AI and economics, focusing on the role of AI in driving economic growth, efficiency, and innovation. It examines how AI is being integrated into different sectors, the potential benefits and challenges it presents, and the implications for the future of wor
20#
發(fā)表于 2025-3-25 02:46:12 | 只看該作者
1860-949X ket.Explains the algorithm used, the selected problem, and i.The book is divided into sections according to the content of the chapters. The first section covers AI concepts with NP and financial issues. The second section covers AI techniques in relation to Fintech issues. The remaining sections ar
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