Built for clarity, not noise
Számvetmény brings together market data from multiple exchanges and distills it into a single, consistent view — so decisions start from understanding, not guesswork.
Why we started Számvetmény
Markets generate more data than any one person can reasonably track — scattered across exchanges, formats, and update cycles. Számvetmény was created to pull that data into one coherent workspace, using automated analysis to surface what matters instead of leaving investors to assemble it manually.
Rather than adding another dashboard with more charts, we focused on structure: consistent definitions, repeatable checks, and output that can be reviewed quickly before any decision is made.
What we're working toward
To give investors a single, dependable layer of analysis across markets — reducing the time spent reconciling data and increasing the time spent thinking clearly about it.
Consistency over volume
We'd rather deliver fewer, well-structured signals than overwhelm with raw data points that still need interpretation.
Transparency in method
Analysis should be explainable. We favor approaches that can be understood, not black boxes that simply output a verdict.
Respect for the decision
Számvetmény is built to inform judgment, not replace it. The final call always belongs to the investor.
Steady iteration
Markets change, and so does our product. We treat Számvetmény as a tool that's continuously refined, not a finished artifact.
The principles behind the product
Unified data, not isolated feeds
We treat multi-exchange data as one connected picture rather than separate, disconnected streams.
AI-assisted, human-reviewed
Automated analysis speeds up the work, but the framing and presentation are designed to be checked by a person, not blindly trusted.
Plain language by default
Where possible, we explain findings in terms an investor can act on, rather than in internal technical jargon.
Who's behind Számvetmény
Számvetmény is built by a small, focused team working across data engineering, market analysis, and product design. We stay intentionally lean so that decisions about the product stay close to the people using it.
We're growing carefully, adding capability where it directly improves the clarity of analysis delivered to our users — not simply to expand the team for its own sake.