Machine learning impact on forex market analysis & forecast: a graph-based optimization task
Malagnino, Carlo (A.A. 2022/2023) Machine learning impact on forex market analysis & forecast: a graph-based optimization task. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 38. [Bachelor's Degree Thesis]
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Abstract/Index
Forex definitions and modeling. Forex framework. Introduction to forex graph. Historical optimal strategies. Shortest path in DAG. Historical results. Time series prediction–exchange rates. Train-test split. Validation techniques for time series. Simple linear and polynomial regression models. Decision trees & random forests. Neural networks. Deep learning.
References
Bibliografia: pp. 36-38.
Thesis Type: | Bachelor's Degree Thesis |
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Institution: | Luiss Guido Carli |
Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
Chair: | Artificial intelligence and machine learning |
Thesis Supervisor: | Italiano, Giuseppe Francesco |
Academic Year: | 2022/2023 |
Session: | Summer |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 27 Sep 2023 10:32 |
Last Modified: | 27 Sep 2023 10:32 |
URI: | https://tesi.luiss.it/id/eprint/36546 |
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