Alternative data

122 datasets from 155 publishers in more than 50 countries, point-in-time, mapped to stocks and tested for lead.

Alternative data only gives you an edge when it can be trusted, and when you know it leads. ORTEX collects from 155 publishers across more than fifty countries, archives every figure as it first appeared, cleans and normalizes it, maps it to the right stock, and then tests it against each company's reported results, so you know which datasets actually lead. Car registrations, airline traffic, bank books, drug approvals and power output arrive as one consistent dataset.

Download the brochure (PDF)
122
datasets
734
series
155
publishers in 50+ countries
7,500+
securities mapped
43 days

median lead on reported revenue for the 55 series with a statistically significant, out-of-sample lead on a company's results.

ORTEX lead measurement, tested on the date each figure was published.

What you can do with it
Nowcasting

Read revenue drivers weeks before the company reports.

Systematic research

Point-in-time series with two clocks, ready to backtest.

Thematic work

Sector and economy series on the same platform.

Clean, point-in-time, ready to trade

The questions every fund asks first, answered.

01
Cleaned and normalized

Hundreds of formats reshaped into one, with the same units, periods and naming. Periods still filling in are flagged, not headlined.

02
Truly point-in-time

Every observation carries the period it describes and the moment it first became public, never the moment it was processed.

03
History you cannot rebuild

Every figure archived as it first appeared. Many publishers overwrite their own history; ORTEX keeps it.

04
Mapped to the right stock

Every company matched through a curated, reviewed cross-reference. An ambiguous name is never guessed.

05
Tested for lead

Every company series tested out of sample against reported results, and marked as a measured lead, no lead, or not yet tested.

06
Signals included

Z-scores against a company's own history, percentiles across peers, year-on-year change and trend on every series.

Why ORTEX

Most alternative data is sold as raw files with the lead left for you to find. ORTEX archives every figure as first published, maps it, and tells you which series actually led a company's results, and by how much.

Vehicles, 41 datasets

One of the broadest vehicle registration and sales datasets available anywhere.

Europe, 20 datasets

New registrations by brand from national registers in the UK, Germany, Italy, Spain, the Netherlands, Belgium, Austria, Poland, Ireland, Czechia, Finland, Greece, Switzerland, Luxembourg, the Baltics and Ukraine, with electric splits and brand mix for every EU country.

North America, 11 datasets

Carmakers' own monthly US sales within days, registrations by state and fuel, EV fleets by make, California zero-emission sales, Canadian sales from 1946 and Mexico.

Asia-Pacific, 9 datasets

Japan, Korea and India carmaker sales, India's national register, Hong Kong, Singapore, Malaysia, Australia and New Zealand.

Daily where it matters

Spain and Greece every day, US carmaker sales within one to three days of month end, Germany ten days after.

Electric, by brand

Battery-electric and plug-in splits by brand across Europe, the US states and Asia.

Recalls and complaints

US recalls, complaints and investigations daily, from 1995.

Transport, financials and filings

Airlines, airports, bank books, consumer credit and company filings: 48 datasets.

Airlines, 12 datasets

Passengers, capacity, load factors and punctuality by airline for the US, UK, France, Canada, Mexico, Brazil, Peru, India, Korea, Taiwan, Japan and Australia.

Airports, 11 datasets

Daily flight counts for more than 300 European airports since 2018, EU passengers and movements, US airports and the major operators in Amsterdam, Copenhagen, Paris, Zurich, Germany, Spain, Turkey and the Nordics.

Deep history

French airports from 1990, Canadian air traffic from 1981, Brazil from 2000.

Road and rail

US trucking capacity and Hong Kong public transport by operator.

Financials, 15 datasets

US, Australian and Canadian bank books, card and auto loan performance weeks before lenders report, consumer complaints daily, stock-loan and options volume, payments and crypto flows.

Corporate filings, 8 datasets

Executed buybacks, insider clusters, private raises, federal contract awards daily from 2007, Taiwan monthly revenue and layoff notices.

Healthcare, energy, consumer and macro

Approvals, power, production, gaming, travel and the macro prints that move markets: 33 datasets.

Healthcare, 7 datasets

Clinical trial status daily, FDA decisions and letters, device clearances and recalls, Medicare, Medicaid drug utilization and weekly generic drug prices.

Energy and power, 8 datasets

Daily output for every US nuclear reactor, plant generation by operator, power prices, degree days, Gulf of Mexico production from 1996 and Norwegian fields from 1979.

Industry and trade, 4 datasets

Korean exports including early 10- and 20-day prints, Taiwan export orders, Japanese machine tool orders and Chilean copper by mine.

Consumer and leisure, 8 datasets

Macau gaming, US sports betting by operator, Steam players captured hourly, Hong Kong and Singapore arrivals, and telecom subscribers.

Macro, 6 datasets

US payrolls, CPI and weekly jobless claims from 1986; UK, EU and Canadian labor and prices; and the daily US Treasury cash balance.

Market-level context

Sector and economy series alongside the company-level ones, on the same point-in-time clock.

In the data

Measured leads

Selected series with a statistically significant, out-of-sample lead on a company's reported revenue.

Tested
478 company and series pairs with enough history
Significant
55 measured leads, median 43 days
Honest
Series with no lead are marked as such

Knowing which series lead, and which do not, is what turns a dataset into a signal.

Where the data led the results
SeriesCompanyLead on revenueDirection right
New car sales, JapanNissan65 days100%
New car sales, JapanHonda35 days100%
New car registrations, GermanyTesla43 days100%
New car registrations, GermanyMazda30 days90%
New car registrations, GermanyGeneral Motors15 days90%
New car registrations, EuropeMercedes-Benz26 days77%
New car registrations, IndiaMahindra & Mahindra38 days62%

Lead is measured from the date each figure was published to the company's report. Direction is how often the series called the direction of revenue growth.

License alternative data for your desk.

Trial access, pricing and licensing from the data sales team. Delivered over the API, as whole-market daily files, into your cloud, or on the ORTEX platform.

API docs

ORTEX Technologies Ltd, 26-27 Bedford Square, London WC1B 3HP. Registered in England and Wales, company number 11033216. Coverage, history and figures are as at September 2026. Where source terms require it, data is supplied as derived signals rather than raw values. Provided for information purposes only; not investment advice. Past performance is not a guide to future results. See the full data catalog.