Book a demo

See what moves natural gas before it’s priced

Natural gas markets increasingly move before traditional datasets catch up.

Permutable transforms LNG developments, storage expectations, weather risk and geopolitical narrative into explainable gas intelligence, helping institutional teams anticipate Henry Hub, TTF and LNG repricing before consensus forms.

Permutable AI-powered natural gas market intelligence showing natural gas price movements alongside a sentiment heatmap from May to June. The chart combines price data with key market drivers including fundamental sentiment, supply disruptions, inventory levels, geopolitical tensions, demand trends, natural disasters, and price forecasts. Cyan and teal colours indicate bullish sentiment, indigo represents neutral conditions, and purple highlights bearish market signals, providing a real-time view of factors influencing natural gas prices.
  • Henry Hub, TTF and LNG
  • Historical and live market intelligence
  • Benchmark, regional, driver and event-level outputs
  • API, Excel, files and institutional feeds
Request sample natural gas data

From market change to institutional workflow

What is measured? What explains the move? How is it used?
Benchmark and regional indices LNG flows, storage, weather, production, pipelines, terminals, shipping and geopolitical drivers Research, monitoring, systematic models and risk workflows
Direction and magnitude Source-linked events and story development Historical replay, alerts, API, Excel and data feeds
Henry Hub, TTF and LNG markets Narrative persistence, divergence and cross-market transmission Scenario analysis, regional comparison and custom configurations
Explore API delivery

See how Permutable tracks the narratives, risks and sentiment shifts shaping gas markets

  • Permutable visualisation showing energy supply indicator rankings, event volume, net sentiment and a detailed pipeline, refinery and storage timeline with Qatar gas plant explosion events.
  • Dark Permutable analytics visualisation showing ranked energy market indicators by event volume, including pipelines, weather, geopolitical tensions, production levels and bullish or bearish sentiment scores.
  • Permutable visualisation showing energy supply indicator rankings, event volume, net sentiment and a detailed pipeline, refinery and storage timeline with Qatar gas plant explosion events.
  • Dark Permutable analytics visualisation showing ranked energy market indicators by event volume, including pipelines, weather, geopolitical tensions, production levels and bullish or bearish sentiment scores.
  • Permutable visualisation showing energy supply indicator rankings, event volume, net sentiment and a detailed pipeline, refinery and storage timeline with Qatar gas plant explosion events.
  • Dark Permutable analytics visualisation showing ranked energy market indicators by event volume, including pipelines, weather, geopolitical tensions, production levels and bullish or bearish sentiment scores.

Auditable signals across natural gas markets

Conventional workflow With Permutable
Gas headlines disconnected from individual benchmarks and regions Benchmark, regional and driver-level signals
One generic natural gas sentiment score Separate LNG, storage, weather, production, infrastructure and geopolitical series
No clear evidence behind a signal movement Source-linked events, headlines and timestamps
Historical analysis vulnerable to hindsight Strict point-in-time construction
Different structures for historical research and live monitoring Consistent historical and production schema
Manual monitoring across multiple sources API, Excel, files and institutional feeds

Built to be evaluated without hindsight

Historical observations should reflect only the information available at their original timestamps, allowing the same signal structure to be examined historically and monitored in production.

  • Point-in-time history

    Each historical observation reflects only the information available at that moment.

  • Source and processing timestamps

    See when an event was published, captured and incorporated into a signal.

  • Versioned outputs

    Identify which production methodology generated each historical or live observation.

  • Consistent historical and live schema

    Move from research into monitoring without rebuilding fields or data structures.

Evaluate in your own workflow

FAQ

  • What does the natural gas dataset contain?

    Permutable’s natural gas dataset includes historical and live benchmark indices, regional indicators, driver-level signals, event records and source-linked observations. The data can be organised by market, geography, facility, topic and direction of pressure, allowing users to examine both the aggregate signal and the underlying developments contributing to it.

  • Which natural gas markets are covered?

    Coverage includes Henry Hub, TTF and LNG-linked markets, alongside intelligence relating to US production, European storage, global LNG supply, pipelines, export terminals, shipping, weather and regional infrastructure. Permutable can also configure coverage around specific benchmarks, facilities, countries, routes or market drivers.

  • Which natural gas drivers are tracked?

    Signals can be structured around LNG flows, storage levels, weather conditions, production, pipeline availability, terminal disruption, shipping, sanctions, geopolitical risk, energy policy and regional supply-demand conditions. These drivers can be monitored separately or combined to show how the balance of market pressure is changing.

  • How far back does the historical natural gas data go?

    Permutable provides more than 11 years of historical point-in-time intelligence, with exact availability depending on the benchmark, driver and configuration selected. Historical series are designed to support research, event studies, model development and comparison with live production signals.

  • Is the historical dataset strictly point in time?

    Yes. Each historical observation is constructed using only the information available at its original timestamp. Events, sources and signal values are preserved without incorporating information published later, helping users evaluate historical behaviour without hindsight or look-ahead bias.

  • How frequently are the indices and event records updated?

    Standard natural gas indices are updated hourly. Event and source records are processed throughout the day, while delivery frequency can be configured around the requirements of research, monitoring, alerting or production workflows.

  • Can users inspect the events and sources behind a signal?

    Yes. Users can access the source-linked events, headlines, entities, facilities, topics and timestamps contributing to a signal. This makes it possible to investigate why an indicator changed, distinguish isolated reports from persistent narratives and trace the evidence behind a historical or live observation.

  • How is the natural gas data delivered?

    Natural gas intelligence can be delivered through API, Excel, structured files and institutional data feeds. Historical and live outputs use a consistent schema, helping teams move from research and validation into monitoring or production without rebuilding the underlying data structure.

  • Can institutions evaluate sample natural gas data?

    Yes. Institutions can request a sample containing benchmark and driver-level signals, source-linked events and example records from a defined natural gas market window. Samples can be tailored around Henry Hub, TTF, LNG, infrastructure disruption, storage, weather or another relevant market question.