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EEX Transparency is where outages appear first

Most people reach for ENTSO-E and stop there. EEX Transparency carries much of the same fundamental data, sometimes earlier, and covers producers who report through it under REMIT. If you care about outages, this is not optional.

Written for developers building fundamental data pipelines. Verified September 2026.
On this page
  1. What EEX is
  2. What it is and why it exists
  3. What you can pull
  4. Getting it out
  5. EEX Transparency versus ENTSO-E

What EEX is

EEX is the European Energy Exchange, based in Leipzig. The transparency platform is a regulatory obligation under REMIT, not a commercial product — which is why the data is free and the interface is what it is.

What it is and why it exists

European market participants are legally required under REMIT to publish inside information — chiefly outages of generation and consumption units — before trading on it. They must do so through an approved platform, and EEX Transparency is one of the main ones.

That legal obligation is what makes the platform useful: it is not a convenience publication that a TSO consolidates overnight. It is a disclosure that a trader is required to make as soon as the information exists, because trading on it beforehand is market abuse.

This is the timing difference that matters. ENTSO-E aggregates and republishes on its own schedule. A REMIT urgent market message is published when the plant operator knows. For anything where minutes count — and unplanned outages are exactly that — the gap is real.

What you can pull

DatasetNotes
Transparency messages (outages)Planned and unplanned unavailability of generation, consumption and transmission units, with capacity affected, reason and expected end.
Actual generationPer unit and per fuel type, for units whose operators report here.
Installed capacityPer unit, the denominator for availability calculations.
Cross-border flows and capacityWhere operators publish through EEX rather than a TSO platform.

Coverage varies by country and by company. Some producers publish through EEX, others through national platforms, others through their own websites. No single source has all European outages, which is the uncomfortable fact behind every fundamental model.

Getting it out

The public site at transparency.eex.com offers filtered views and file downloads, which is enough for research. For automated use, EEX offers data interfaces under its Datasource product; the free public route is the site itself and its exports.

Using event time instead of publication time is lookahead bias, and it is the most common way fundamental backtests flatter themselves. We wrote about the same problem with ENTSO-E forecast versioning in our ENTSO-E API guide.

EEX Transparency versus ENTSO-E

EEX TransparencyENTSO-E
Why it existsREMIT disclosure obligationRegulatory transparency publication
TimingWhen the operator knowsOn a publication schedule
CoverageOperators who report through EEXAll zones, via TSOs
ShapeMessage-oriented, versionedTime series, one schema
Best forOutages, unit-level eventsComparable series across every zone

They are complements, not alternatives. A serious fundamental stack reads both, keys them together by unit where it can, and keeps the publication timestamps from each — because the difference between them is itself a signal about how fast the market learned.

Frequently asked questions

What is EEX Transparency?
A platform where European market participants publish REMIT inside information — chiefly outages of generation, consumption and transmission units — alongside actual generation and installed capacity.
Is EEX Transparency data free?
The public website and its exports are free. Automated, contractual access is available commercially through EEX data products.
Is it faster than ENTSO-E for outages?
Often. REMIT requires publication as soon as the information exists, whereas ENTSO-E publishes on its own schedule. For unplanned outages that gap can matter.
Does it cover every European outage?
No. Operators publish through different approved platforms, so no single source is complete. Any serious fundamental model reads more than one.
Why should I store publication timestamps?
Because an outage that began at 03:00 but was published at 09:40 was not tradable information until 09:40. Using event time in a backtest is lookahead bias.

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We build outage and fundamentals pipelines that keep every version and every publication time, so backtests reflect what was actually knowable. If that is the problem you have, talk to us.

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