BV-7X has developed a sophisticated model that enhances the accuracy of ETF signal predictions by integrating multiple metrics. The model, which initially relied solely on ETF flows, now incorporates on-chain momentum, macro trends, and value metrics. This comprehensive approach has improved backtested prediction accuracy from approximately 50% to 60.7% over 4,446 days of data. The platform publishes every prediction in real-time, complete with timestamps, showcasing both successful and unsuccessful forecasts. Additionally, BV-7X has introduced a blind prediction arena, allowing users to compete against the model, further validating its performance and adaptability.