Artificial intelligence for algorithmic trading digital assets: evidence from the Counter-Strike 2 skin market
These findings highlight that even in virtual goods markets, the trade-offs between return, risk, and diversification reflect established principles of modern portfolio theory. The study demonstrates both the feasibility and the potential of artificial intelligence-based trading systems in the Counter-Strike 2 skin economy, contributing methodological advances and practical insights for participants in this emerging digital asset market.
Authors
- L.O.A.P. Henriques
- Gonçalo Jorge Morais da Costa (ORCID: https://orcid.org/0000-0002-1507-1667)
- Salomé Azevedo (ORCID: https://orcid.org/0000-0003-1234-9464)
- Pedro Dias (ORCID: https://orcid.org/0000-0002-8875-2228)
- Federico Guede-Fernández (ORCID: https://orcid.org/0000-0003-2762-0333)
- Yash Wagle
- Ana Paula Giordano
Institutions
- University of Lisbon (PT)
- Universidade Politécnica de Lisboa (PT)
- Universidade Católica Portuguesa (PT)
- Centro Tecnológico do Calçado de Portugal (PT)
- Hospital Braga (PT)
- Universidade Nova de Lisboa (PT)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-11-11
- DOI
- https://doi.org/10.3389/frai.2025.1702924
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission