ChartLabs VS Data Analytic System

ChartLabs's answer

We clean all historical data before you see it — most platforms skip this entirely and feed you raw data full of spikes and gaps. We also focus purely on manual backtesting, not automated. You trade through historical charts the same way you'd trade live, which builds real execution skill. And we don't do tiered pricing or gamification — one plan, full access, no gimmicks.

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.

ChartLabs's answer

Most backtesting platforms either charge 2-3x more for their top tier, hide features behind paywalls, or add unnecessary complexity. We built ChartLabs because we trade full-time and got tired of all of it. You get cleaned data, professional analytics (Sharpe, Sortino, Monte Carlo, strategy correlation), multi-screen charting, and training/verification sessions — all included. No "upgrade to unlock."

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.

ChartLabs's answer

Forex, indices, and crypto traders who want to validate their strategies on historical data before going live. Both newer traders building screen time and experienced traders refining their edge. Anyone who believes backtesting is training, not a checkbox.

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.

ChartLabs's answer

We're full-time forex traders. After years of using backtesting tools that were overpriced, overcomplicated, or both, we decided to build what we actually needed — something simple, with clean data, honest analytics, and fair pricing. No marketing gimmicks, no leaderboards, no fake urgency. Just a solid tool for serious traders.

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.

ChartLabs's answer

Web-based platform. Beyond that we'd rather talk about what it does for traders than what it's built with.

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.

ChartLabs's answer

We don't name individual customers. Our users are forex, indices, and crypto traders around the world — from people just starting to backtest their first strategy to experienced traders running multiple strategies across different markets.