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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Book 2024cond section covers AI techniques in relation to Fintech issues. The remaining sections are implementation and analysis. As science and technology development and algorithms are widely used in various fields, their influence and development have increased efficiency and productivity. The introductio

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https://doi.org/10.1007/978-3-319-01625-2sion-making processes. Leveraging the recent surge in machine learning and computational optimization, coupled with an abundance of data, this study seeks to unravel new dimensions in understanding and optimizing complex financial and economic dynamics.

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https://doi.org/10.1007/978-3-319-01625-2its effectiveness and tweaking the threshold values for higher accuracy. By introducing the hill-climbing method into the backtesting process, traders may make informed decisions and perhaps increase their algorithmic trading performance.

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An Approach for Backtesting and Algorithmic Trading with Liquidity and Hill Climbing Algorithm,its effectiveness and tweaking the threshold values for higher accuracy. By introducing the hill-climbing method into the backtesting process, traders may make informed decisions and perhaps increase their algorithmic trading performance.

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1860-949X e problems that researchers focus on such as customer support, portfolio management, trading algorithms, fraud detection, credit risk assessment, insurance, and wealth management. The mentioned problems are com978-3-031-57710-9978-3-031-57708-6Series ISSN 1860-949X Series E-ISSN 1860-9503

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Estimating and Evaluation of International Capital Movements in the Perspective of Corporate Econom on social relations. This study studies international foreign direct investment and foreign portfolio investment types. In this study, to evaluate the asymmetric capital distribution from the perspective of institutional economic geography, estimation was made with artificial neural network models

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https://doi.org/10.1007/978-3-319-01625-2 on social relations. This study studies international foreign direct investment and foreign portfolio investment types. In this study, to evaluate the asymmetric capital distribution from the perspective of institutional economic geography, estimation was made with artificial neural network models