A Comparison of Machine Learning Models for Currency Pair Forecasting-Reference-Cited by-同舟云学术

A Comparison of Machine Learning Models for Currency Pair Forecasting

Published:2022-10-21 Issue: Volume: Page:499-506
ISSN:2367-3370
Container-title:Intelligent Computing & Optimization
language:
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Author:

Lee Jia-Sheng,Yong Yoke-Leng,Hoo Meei-Hao,Khor Kok-Chin

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19958-5_47

Reference10 articles.

1. CPT International: Why Trade Forex Rather Than Stocks? (2022). https://cptinternational.com/en/insights/why-trade-forex-rather-than-stocks?s=%2F%2Far%2Finsights%2Fwhy-trade-forex-rather-than-stocks. Last accessed 14 Aug 2022

2. Tsai, Y.C., Chen, J.H., Wang, J.J.: Predict forex trend via convolutional neural networks. J. Intell. Syst. 29(1), 941–958 (2020)

3. Ni, L., Li, Y., Wang, X., Zhang, J., Yu, J., Qi, C.: Forecasting of forex time series data based on deep learning. Procedia Comput. Sci. 147, 647–652 (2019)

4. Sezer, O.B., Gudelek, M.U., Ozbayoglu, A.M.: Financial time series forecasting with deep learning: a systematic literature review: 2005–2019. Appl. Soft Comput. J. 90, 2005–2019 (2019)

5. Yıldırım, D.C., Toroslu, I.H., Fiore, U.: Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators. Financ. Innov. 7(1), 1–36 (2021). https://doi.org/10.1186/s40854-020-00220-2

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