Research on the Price Prediction of Bitcoin and Gold Based on Random Forest Model

Lu, Jingben and Song, Yawei and Li, Qianhui and Tang, Junrong and Hou, Yuke (2023) Research on the Price Prediction of Bitcoin and Gold Based on Random Forest Model. In: Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China.

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Abstract

In recent years, machine learning has achieved good results in the field of asset prices. Compared with traditional data analysis and technical analysis, using machine learning methods can show unique advantages in various aspects. In this paper, we combine the correlation between bull and bear mark

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:06
Last Modified: 17 Apr 2026 03:35
URI: http://eprints.eai.eu/id/eprint/42325

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