Satellite Data and Artificial Intelligence for FINtech
The SAIFIN project (Satellite data and Artificial Intelligence for FINtech) develops a novel algorithmic trading system that integrates satellite imagery, financial data, and advanced artificial intelligence to enhance decision-making, particularly in commodity and agricultural markets. This paper presents the motivation, design, implementation, and validation of the SAIFIN framework. Leveraging alternative data and modular multi-agent architectures, SAIFIN aims to deliver robust, context-aware trading signals in diverse market conditions.
Authors
- Matteo Martini
- Umberto Di Matteo (ORCID: https://orcid.org/0000-0003-0493-6896)
- Massimiliano Proietti (ORCID: https://orcid.org/0000-0003-4680-9369)
- Alberto Garinei (ORCID: https://orcid.org/0000-0002-0280-2053)
- Ernesto William De Luca (ORCID: https://orcid.org/0000-0003-3621-4118)
- Marcello Marconi
- Stefano Speziali (ORCID: https://orcid.org/0000-0001-6397-1611)
- Alessandro Vispa (ORCID: https://orcid.org/0000-0001-6307-921X)
- Valerio Lemma
- Emanuele Piccioni
- Francesca Fallucchi
- Giovanni Bartolini
- Romeo Giuliano
Institutions
- SAES Group (Italy) (IT)
- Marconi University (IT)
Publication Details
- Journal
- Forecasting
- Published
- 2026-02-13
- DOI
- https://doi.org/10.3390/forecast8010017
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00