This approach combines rigorous quantitative modeling with flexible parameterization, enabling consistent performance across multiple cryptocurrencies. The strategies exploit market inefficiencies through optimized parametric models that capture time-based dynamics, combining both momentum and mean-reversion effects.

The systematic strategies, driven by hourly signals for the most liquid cryptocurrencies such as ETHUSDT and BTCUSDT, have shown robust performance, delivering a Sharpe ratio well above one.