Bitcoin Investment Strategies Based on Google Trends and AI Models

【Author】 Gomez Martinez, Raul; Martinez Navaion, Juan-Gabriel; Prado Roman, Camilo

【Source】TRIPODOS

【影响因子】0.000

【Abstract】The evolution of the price of bitcoin has captured the attention of ana-lysts in recent years. But how can a cryptocurrency be valued? Given that the price is linked to expectations, we propose, in this paper, to predict the trend of bitcoin using Google Trends as an explanatory variable. To do so, we develop two alternative algorith-mic trading systems that buy or sell bitcoin depending on whether the searches for this term in Google in-crease or decrease. The approach is powered using artificial intelligence. The results of these trading systems are positive and show that trading strategies can be implemented based on investors' mood about an asset, in this case measured through Goog-le Trends. The use of artificial intelli-gence in trading is new and this is an example of its potential.

【Keywords】bitcoin; investors? mood; Google Trends; artificial intelligence; algorithmic trading systems

【发表时间】2022

【收录时间】2022-12-23

【文献类型】理论模型

【主题类别】

区块链治理-市场治理-价格预测