Vector Manifold Analytics is building FM³, a financial-market instrument that measures expressed belief as measurable structure rather than flattening language into sentiment scores. The platform preserves three relationships simultaneously—who expressed a belief, what it concerns, and how it relates to other beliefs—and offers analytical lenses such as NarrativeDrift alerts and Case-based reasoning paths. Currently in pre-alpha calibration across 220 companies, FM³ targets general release coverage of 8,000 public companies.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional financial market analysis tools reduce language to search results, topics, or sentiment scores, losing the structural relationships between who expresses a belief, what that belief concerns, and how beliefs relate to one another. This flattening prevents analysts from examining market-wide belief structure or tracing individual statements to their sources, limiting the depth and verifiability of market research.
Solution
Vector Manifold Analytics is building FM³, the Financial Market Meaning Manifold, a financial-market instrument that applies Meaning Manifold Dynamics to measure source-linked expressed belief in financial markets. FM³ models beliefs as measurable physical-like objects with position, mass, momentum, inertia, and drift, preserving three relationships simultaneously: the holder of a belief, the subject the belief concerns, and the belief's connection to other beliefs. Users can change their analytical frame by selecting a Lens (whose perspective), Focus (what it concerns), or Topic (what is being believed), and the same underlying market is reorganized around that frame. The platform allows users to descend from market-wide structure to individual semantic atoms—traceable statements connected to their holder, subject, and source—and preserve analytical paths as Cases designed for replay, review, and challenge. FM³ explicitly differentiates static measurements (position and mass) from temporal dynamics (momentum, inertia, drift), with temporal constructions under active validation. The instrument is being developed in staged phases, with pre-alpha calibration across 220 companies and planned coverage expansion to 250 companies at alpha close, 1,000 at beta, and 8,000 at general release.
Target Audience
Primary users are financial market analysts, researchers, and investment professionals who need source-linked, structural analysis of expressed market belief rather than flattened sentiment or keyword-based tools.
Features
- Semantic atom architecture that connects each expressed belief to its holder, subject, and original source for full traceability
- Three-dimensional analytical framing via Lens, Focus, and Topic views that reorganize the same underlying market data without duplicating it
- Case-based workflow that captures analytical paths for replay, review, challenge, and provenance inspection
- NarrativeDrift alert class for detecting meaningful movement in expressed market belief over time
- Structural measurements including position, mass, momentum, inertia, and drift, with static measurements currently validated and temporal measurements under active testing
- Staged coverage roadmap from 220 companies in pre-alpha to 8,000 public companies at general release
- Explicit boundary definition: does not provide sentiment dashboards, keyword tracking, price prediction, or averaged opinion scores