A daily stock index predictor using feature selection based on a genetic wrapper

Author:

Cho Dong-Hee1,Moon Seung-Hyun2,Kim Yong-Hyuk1

Affiliation:

1. Kwangwoon University, Seoul, Republic of Korea

2. Optus Investments Seoul, Republic of Korea

Publisher

ACM

Reference4 articles.

1. S.-H. Moon Y.-H. Kim and B.-R. Moon "Empirical investigation of state-of-the-art mean reversion strategies for equity markets " arXiv preprint arXiv:1909.04327 2019. S.-H. Moon Y.-H. Kim and B.-R. Moon "Empirical investigation of state-of-the-art mean reversion strategies for equity markets " arXiv preprint arXiv:1909.04327 2019.

2. Using artificial neural network models in stock market index prediction

3. A hybrid genetic algorithm for feature selection wrapper based on mutual information

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1. Genetic Feature Selection Applied to KOSPI and Cryptocurrency Price Prediction;Mathematics;2021-10-14

2. Winner prediction for real-time strategy games through feature selection based on a genetic wrapper;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2021-07-07

3. An improved predictor of daily stock index based on a genetic filter;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2021-07-07

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