Application Layer Models

A fine-tuned AI model that dynamically tracks real-time correlation shifts across pairwise assets or entire portfolios of financial instruments, overcoming the limitations of traditional methods (Pearson, Spearman Rank).

The model filters out market noise and can deliver analysis across different timeframes to deliver clearer real-time signals. It represents correlations in two simple ways: accurate readings for any pair of assets, or a single correlation metric that measures how connected an entire portfolio is.

In early 2025, investors were blindsided when stocks and bonds fell together, breaking their traditional negative relationship. While conventional correlation metrics showed only noise, our model clearly identified this critical shift developing throughout 2024, providing advance warning that could have protected portfolios.