FirstQFM Says Quantum System Beats Classical Forecasting Benchmarks

Insider Brief

• FirstQFM reported that its quantum reservoir computing system, running on Rigetti hardware, outperformed the classical models evaluated in financial forecasts covering 43 anonymized assets and 600 out-of-sample periods.
• The system achieved 52.02% directional accuracy and 112% higher cumulative gross portfolio profit than the strongest classical benchmark by profit, with an annualized Sharpe ratio of 1.22.
• The evaluation used data anonymized by SW7 Group and chronological training, validation and test periods, with model selection based only on validation data.
• Photo by Adam Śmigielski on Unsplash

PRESS RELEASE — FirstQFM today announced results from a financial forecasting evaluation in which its proprietary foundation-model-based quantum reservoir computing (QRC) system, running on Rigetti Computing’s Cepheus™-1-108Q system using data supplied by SW7 Group, outperformed state-of-the-art classical benchmarks across directional accuracy, macro-F1, gross portfolio P&L, and annualized Sharpe ratio.

The evaluation covered next-day forecasts across 43 anonymized assets and 600 out-of-sample periods. FirstQFM’s foundation-model-based QRC system achieved 52.02% directional accuracy and 51.76% macro-F1, the highest results among the models evaluated.