The core engine of this terminal operates on a sophisticated 9-Model Ensemble Logic designed to identify and quantify mid-to-long-term trends in the cryptocurrency market. By synthesizing multiple independent quantitative models, the system filters out idiosyncratic market noise and provides a consolidated Trend Index Score.
Our algorithmic framework is strictly based on the empirical research presented in:
'Catching Crypto Trends: A Tactical Approach for Bitcoin and Altcoins' (2025)
by Carlo Zarattini, Alberto Pagani, and Andrea Barbon.
This terminal is an independent implementation of the aforementioned research. We are not affiliated with, endorsed by, or in partnership with the authors (Zarattini, Pagani, Barbon) or their respective institutions (Concretum Research, Swiss Finance Institute). All algorithmic execution is the sole responsibility of this service. Past performance does not guarantee future results.
To enhance user experience, this terminal utilizes Microsoft Clarity to capture anonymous behavioral analytics. All data is anonymized and used solely for system optimization.