Unified OHLCV financial dashboards and API for ready-to-use datasets

Unified OHLCV financial dashboards and API for ready-to-use datasets targets a $45.0B = 50,000 financial institutions x $900K avg annual spend on market data & analytics total addressable market with medium saturation and a year-over-year growth rate of 8-15% overall growth in financial data & analytics; 15-25% for alternative/crypto datasets.

Key trends driving demand: Alternative-data adoption -- quant funds and fintechs increasingly pay for curated, labeled datasets to gain alpha and reduce model risk, raising demand for high-quality OHLCV + macro bundles.; API-first tooling -- developers expect ready SDKs and endpoints; products that ship integrations (Python/R/BI) shorten sales cycles and encourage adoption.; Crypto institutionalization -- growing institutional allocation to crypto demands professional-grade historical and cross-asset data with macro overlays to support risk models and attribution.; Model reproducibility focus -- regulators and investors want auditable, clean datasets and feature pipelines, favoring curated dataset vendors over ad-hoc scraping approaches..