Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform

Research article (Engineering Applications of Artificial Intelligence, 2022) · cited 83× · AI/ML
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Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform

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Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-stock-market-for-an-efficient-portfolio-by-combining-xgboost-and-hilberthuang-transform
MLA “Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-stock-market-for-an-efficient-portfolio-by-combining-xgboost-and-hilberthuang-transform.
BibTeX @misc{4ortxyz_forecasting-stock-market-for-an-efficient-portfolio-by-combining-xgboost-and-hilberthuang-transform_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-stock-market-for-an-efficient-portfolio-by-combining-xgboost-and-hilberthuang-transform}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform — https://4ort.xyz/entity/forecasting-stock-market-for-an-efficient-portfolio-by-combining-xgboost-and-hilberthuang-transform (retrieved 2026-05-24)

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