
Over 25 years structuring market data for banks, brokers and investment platforms.
We are Robexia. We combine deep quantitative experience with modern technology to deliver institutional-grade financial data at scale: fundamental, technical, consensus, funds and ETFs, liquidity and market risks.
Over 25 years building algorithms and quantitative analysis, with structured, accessible financial data for clients worldwide.
We adapt fast to clients and integrators, with competitive pricing against the major market providers.
We pair decades in financial markets with cutting-edge technology and AI.
countries where we already have clients (banks, brokers and financial media) across Europe, North America and South America.
Fundamental, technical, consensus, fund and liquidity data, structured and ready to integrate.
Revenue, EBIT, EBITDA, net income, P/E, dividend history and many more metrics.
30+ indicators, automatic trend calculation, supports, resistances and key levels.
Aggregated rating and price target, with breakdown by research house.
101 countries and 1,165 indicators, read from the national statistical agencies.
Per-instrument liquidity feed and stress testing (LST), aligned with ESMA 2020 and CNMV.
Professional charting platform designed by analysts, with backtesting and full drawing tools.
Search and filters, with five views per fund: overview, portfolio, dividends, risk and technical.
NAV, static data, KIDs and regulatory files, received directly from asset managers.
Revenue, EBIT, EBITDA, net income, P/E, dividend history and many more financial metrics from the leading companies in Europe, North America and Asia-Pacific. Structured data, ready to analyse.

Over 30 technical indicators, automatic trend calculation and a summary of the technical situation with key levels: supports, resistances and other relevant values.

Analyst recommendations and price targets, with constant monitoring of what the market is saying about each company. The institutional consensus, always up to date.

The deepest and most global market calendar: every release read straight from the national statistical agency that publishes it, with the figure exactly as it came out.
COUNTRIES
INDICATORS
Per-instrument liquidity feed and stress testing (LST) for fund managers, aligned with ESMA 2020 guidelines and CNMV supervision.
| MEASURE | VALUE |
|---|---|
| Passive RST (redemption rate that breaks 50% RCR, stress) · pro-rata sale | Above 100% |
| Passive RST · selling the most liquid first | Above 100% |
| Active RST (market-value liquidity shock that breaks 50% RCR) · pro-rata sale | 0.10 |
| Stress cost: prudent – favourable | 1.57 bp |
| Normal cost: prudent – favourable | 0.26 bp |
| Passive RST: prudent / favourable | Above 100% / Above 100% |
| Active RST: prudent / favourable | 0.10 / 0.10 |
Professional charting platform designed by analysts, for traders and investors.

Find any exchange-traded fund by asset class, currency and features, and compare the results side by side.





We have recently launched a new line of business as a data vendor for funds and ETFs: the same role as the large vendors, on a much smaller scale. Asset managers send us their data directly, and we deliver it to our clients.
Official data and documents, by email or file, to [email protected]
Official, unaltered data. We work under our banking clients' regulatory requirements, including DORA for ICT third-party providers.
Screeners, fund pages and comparison tools for their customers and readers
In data extraction, financial documents and validation, AI performs at its best. Agents cross-reference sources, detect anomalies and track traceability at a scale impossible for any human team. Deterministic code where rules are clear, LLMs where context and judgment matter, human judgment where decisions are critical.
The key question is the signal-to-noise ratio. In financial markets that noise is structurally high, which is why reducing it matters more than fine-tuning models. Experience is the filter that makes ML techniques useful rather than dangerous.
Used with judgment, AI multiplies a good team: it extracts, cross-checks and validates data at a scale no human could reach, freeing experts for what truly needs judgment.
REST API or file delivery, your choice. Complete documentation and dedicated support for integration.
// GET /v1/fundamental/{isin} { "isin": "ES0113900J37", "ticker": "SAN", "name": "Banco Santander S.A.", "revenue": 56789.4, "ebit": 12340.1, "pe_ratio": 7.82, "consensus": "BUY", "price_target": 5.40 }

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