The results below showcase 16 months of backtested trade performance across various market cycles. This represents our foundational strategy: a Narrative Trend crossover model optimized through Dynamic Weighting.

Instead of ignoring market reactions, we apply aggressive coefficients to Proactive signals while downweighting Reactive data. This weighted approach captures the predictive 'Information Lead,' allowing the engine to identify high-conviction entry points before the broader market adjusts to the news.

Beyond this baseline, we have validated over 10 advanced methodologies using Narrative Trend derivatives (velocity, acceleration, and pressure), all demonstrating robust efficacy across different market regimes.