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Machine Learning in Algorithmic Trading - Kerem Yalç¿nkaya

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2025-10-05
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Seminar paper from the year 2024 in the subject Economics - Finance, Justus-Liebig-University Giessen (Wirtschaftswissenschaften), course: Machine Learning in Finance, language: English, abstract: The aim of this paper is to examine the role of machine learning in algorithmic trading and to provide a general framework. The meaning of machine learning methods in algorithmic trading is analyzed based on four ... Visas aprašymas

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Seminar paper from the year 2024 in the subject Economics - Finance, Justus-Liebig-University Giessen (Wirtschaftswissenschaften), course: Machine Learning in Finance, language: English, abstract: The aim of this paper is to examine the role of machine learning in algorithmic trading and to provide a general framework. The meaning of machine learning methods in algorithmic trading is analyzed based on four main areas: high-frequency trading, predictive modeling, order execution, and portfolio management. The complexity of these methods is also discussed, as well as the explainability, understandability, and manageability of machine learning techniques.

Daugiau informacijos

Autorius Kerem Yalç¿nkaya
Leidėjas GRIN Verlag
Išleidimo metai 2025
Viršelio tipas Minkšti viršeliai
EAN 9783389185001
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21,53 € 28,71 €