I built DDUBUCK Universe Financial Data because comparing a company across a long history still involved too much manual work: opening filings, reconciling labels, checking dilution, and then switching tools to understand the broader market context. The hardest part was not visualization. It was data comparability. Older filings may move between consolidated and standalone statements, some periods omit a statement, and financial companies need different logic from industrial companies. I chose to preserve visible source gaps rather than mix incompatible bases or estimate missing statements. I later added rule-based market views—UREI, PEAK RISK, BBI-R, and Bitcoin Cycle—but kept them separate from company fundamentals. They are context tools, not predictions or return guarantees. Missing inputs are shown as insufficient data, not as a neutral signal. The product is free and requires no account. I would value feedback on whether the interface should emphasize source-level auditability, capital-allocation scorecards, or the bridge from market signals into company research.

DDUBUCK Universe Financial Data

Long-form fundamentals with rule-based market signals

Long-form fundamentals with rule-based market signals