Stock market prediction based on adaptive training algorithm in machine learning
Author:
Affiliation:
1. Department of Mathematics, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul 02841, Korea
2. Department of Mathematical Finance, Gachon University, 1342 Seongnam-Daero, Sujeong-Gu, Seongnam-Si, Gyeonggi-Do 13120, Korea
Funder
National Research Foundation of Korea
Ministry of Education
Korea government
Publisher
Informa UK Limited
Subject
General Economics, Econometrics and Finance,Finance
Link
https://www.tandfonline.com/doi/pdf/10.1080/14697688.2022.2041208
Reference34 articles.
1. Aggarwal, C.C. and Reddy, C.K. Data Clustering: Algorithms and Applications, Data Mining and Knowledge Discovery, 2013 (Chapman and Hall/CRC).
2. Surveying stock market forecasting techniques – Part II: Soft computing methods
3. Evaluating multiple classifiers for stock price direction prediction
4. Lectures on the Nearest Neighbor Method
5. The Econometrics of Financial Markets
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