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Data Analytic System (DAS) is an educational crypto-market platform run by Data Analytic Investments Kft. (Budapest, EU).
What it offers: - Live, sourced market-data dashboards for BTC, ETH, XRP, SOL and other major assets, plus equity indices, FX and commodities - A MiCA / CASP authorisation status tracker for EU exchanges, based on ESMA data - Documentary, source-backed market studies and research articles - A free glossary of key terms and 8 free learning modules - Multilingual educational e-books (English, Hungarian, Spanish), including 'RIPPLE - An Unofficial Documentary Study of Ripple and the XRP Ledger', a 22-chapter book in which every factual claim carries a named, verifiable source
Every data panel names its source. The content is produced with a documented human+AI verification workflow (Uncle Sunny Academy).
Social: https://www.youtube.com/@dataanalyticsystem - https://www.instagram.com/dataanalyticsystem/ - https://www.tiktok.com/@dataanalyticsystem.com - https://www.facebook.com/dataanalyticsystem - https://x.com/dataanalyticsys
Educational content only - not investment advice. Independent publication, not affiliated with Ripple Labs Inc.
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Data Analytic System's answer:
Price trackers like CoinGecko or CoinMarketCap show numbers; Data Analytic System shows the numbers together with their source, date and context, and adds what trackers do not: an ESMA-based MiCA/CASP status list for EU exchanges, sourced documentary studies, a free glossary and learning modules, and multilingual e-books (EN, HU, ES). The free tier has no delay and the same data as the paid tier. We do not sell trading calls or recommendations of any kind.
Data Analytic System's answer:
Every data panel and every article names its source and date. The platform is run by a small Budapest-based publisher (Data Analytic Investments Kft.) and combines live market data for crypto, equity indices, FX and commodities with an EU MiCA/CASP authorisation tracker, a free glossary and learning modules, and documentary studies such as the RIPPLE book, in which every factual claim carries a verifiable reference. Content is produced with a documented human+AI verification workflow (Uncle Sunny method): a human editor closes every item. Educational content only, not investment advice.
Data Analytic System's answer:
People who want to understand crypto and macro markets rather than be told what to do: self-directed readers, students, journalists and compliance-minded professionals in the EU, plus Hungarian- and Spanish-speaking readers who lack sourced material in their language. Typical use: checking a data point with its source, reading the MiCA status of an exchange, or working through a learning module.
Data Analytic System's answer:
Data Analytic Investments Kft. was founded in Budapest in 2026 by Janos Szabo. The starting point was frustration with crypto content that mixes facts, opinion and promotion without references. The answer was a publishing method (Uncle Sunny) in which nothing is published before it is challenged and sourced, and a site built around that rule. The first flagship product was the RIPPLE documentary study (ISBN 978-615-83207 series, HU/EN/ES); the market-data dashboards, the MiCA tracker and the learning sections followed.
Data Analytic System's answer:
A TypeScript/React web application with server-side rendering, a MySQL database, and Stripe for payments. Market data comes from public exchange and data-provider APIs; regulatory data from ESMA registers. The editorial workflow uses several AI systems under human review, with every published claim tied to a named source.
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I am looking for service or tool similiar to Metabase or Redash that allows me to add data source - for example Postgres connection, and create raw SQL queries that can be shared or exposed through API. So instead of keeping raw SQL code somewhere, my other service would call this tool e.g. http://microservice/query=1?param1=xx&page=2 and get the results from the DB. These calls are internal only and part of ETL... Source: about 3 years ago
I have tried Metabase, Redash beore (both self hosted open source versions), from my experience I find Metabase a bit easy to work with. Source: about 3 years ago
Regarding visualization tools, sqliteviz has proven to be the best I've found so far. Their web app runs locally but has some trackers, so I run it locally via a simple, static HTTP server. Falcon and Redash seem like overkill for my needs. Source: over 3 years ago
In addition to metabase there are redash[0] and apache superset[1]. They are more or less similar to metabase with some different quirks. You can also visualize quite a bit of data in grafana[2] as well. [0] https://redash.io/ [1] https://superset.apache.org/ [2] https://github.com/grafana/grafana. - Source: Hacker News / almost 4 years ago
This is typically called a "dashboard" and there is a whole industry of existing commercial products (for example https://redash.io/) that are built around doing data analysis and visualization. Source: about 4 years ago
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