Determining Multi-Class Trading Signals for Bitcoin: A Comparative Study of XGBoost, LightGBM, and Random Forest

Name: Determining Multi-Class Trading Signals for Bitcoin: A Comparative Study of XGBoost, LightGBM, and Random Forest
Creator: Economics and finance
Published: 2025-01-07T08:50:27+08:00

RepOD Repository for Open Data2025-01-07 更新2026-07-23 收录

比特币交易

多类分类模型对比

数据链接：

https://repod.icm.edu.pl/dataset.xhtml?persistentId=doi:10.18150/FXSBZP 数据链接链接失效反馈

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资源简介：

Stawarz, Marcin, 2025, "Determining Multi-Class Trading Signals for Bitcoin: A Comparative Study of XGBoost, LightGBM, and Random Forest", https://doi.org/10.18150/FXSBZP, RepOD, V1

提供机构：

Economics and finance

创建时间：

2025-01-07