Trading Analytics

Real-time monitoring, proprietary data, actionable analytics and insights for global energy traders, delivered where decisions happen. Powered by the world’s largest proprietary energy sensor network.

8,300

sensors across energy system

100M

data points per day

2.5x

larger than the nearest rival network in Power

Only

proprietary sensor network in LNG & Oil

From first signal to trading advantage

Most trading intelligence relies on filings and public disclosures. Wood Mackenzie Trading Analytics starts with direct observation of the energy system, helping traders spot disruptions, restarts, and shifting flows as they emerge. Combined with market data and our models, those observations surface opportunities and risks before they become common knowledge.

 

Built to help traders stay ahead

When every model ingests the same public data, analytical sophistication hits a ceiling. Our proprietary observations break that ceiling, revealing what others can't see. As real-world conditions change, our analytics reponsd. Public data waits for the next filing. Our models don't. Those signals and models reach the trading desk when and where they matter most.
  • cobalt-tick-icon
    Electromagnetic field (EMF) sensors

    Pipelines & powerlines 

    Detect pump and generator status with near-instant updates across major pipelines and power markets.

  • cobalt-tick-icon
    Infrared cameras

    Refineries, storage, LNG terminals 

    Read thermal signatures that reveal restart activity days before any operator announcement. 

  • cobalt-tick-icon
    Satellite Monitoring

    23 oil-producing countries 

    Daily flare monitoring with OPEC+ compliance verified from orbit. Independent of any government reporting.

  • cobalt-tick-icon
    Vessel Tracking (AIS)

    Global cargo flows & maritime intelligence 

    Wood Mackenzie's owned AIS station network tracks vessel movements, port calls, and cargo destinations. 

  • cobalt-tick-icon
    Model-ready features

    Structured for direct analytical use

    Curated variables from physical sensor data – storage draws, generation output, pipeline flows, LNG sendout.

  • cobalt-tick-icon
    Configurable models

    Run with your own assumptions 

    WoodMac's gas, power, and LNG models – open to your input. Not a forecast you receive – a model you work with. 

  • cobalt-tick-icon
    Scenario sets

    Grounded in real market conditions 

    Pre-built stress-test frameworks covering weather shocks, supply disruptions, LNG shifts, demand swings. 

  • cobalt-tick-icon
    Cross-commodity view

    No single-commodity provider can match

    Joined at the source from the same sensors – engineered into a single coherent view, ready to use. 

  • cobalt-tick-icon
    Our platform

    Into your trading and operational workflow 

    Live maps, alerting, interactive scenario modelling. Cross-commodity view always present.

  • cobalt-tick-icon
    Via Snowflake

    Into your data environment

    Data delivered directly into your Snowflake environment. Request once – stays current automatically.

  • cobalt-tick-icon
    Via API

    Into your own systems 

    Models and scenarios callable directly into your own infrastructure and AI tools. 

Built in the field. Impossible to replicate.
Originally built by Genscape, our proprietary sensor network is the result of more than 25 years of negotiated access, field deployment, and network maintenance across global energy infrastructure. Over the years, Wood Mackenzie has built on that foundation with broader coverage, deeper signals, and richer analytics, delivering a richer physical view of energy markets than ever before.
 

Choose your market - Oil, gas, and power trading intelligence

Why our data is different

 

Public Data Alternative Sensor Network WoodMac Sensor Network
Data source ✖ Public feeds & operator reporting ● Proprietary coverage in select markets ✔ Proprietary observation across interconnected energy markets, independent of public reporting
Real-time monitoring ✖ Delayed until filed ● Real-time in patches, delayed elsewhere ✔ Real-time visibility, at the largest scale in the industry
Accuracy ✖ Depends on what’s declared ● Precision capped by sensor scale ✔ Higher accuracy through direct observation at scale
Exclusivity ✖ Available to anyone ● Limited differentiation ✔ Completely exclusive to WoodMac customers
Impossible to replicate ✖ Same feeds available to all ● Buildable with enough investment ✔ Decades of hard-won physical access & deployment
 

 

Filter products

Cancel

Location

0
0
0
0
0
0

Industry Sector

0
0
0
0
0
0
0
0
0
0
0
0
0

Find the right product for your needs

Our solutions cover every aspect of the industry.

0 Product(s)

Something went wrong, results couldn’t be loaded. Please try again

LOADING...
icon-image

Contact an expert

Speak with our team to plan your generation portfolio with a complete view of the markets that shape it.

Explore our latest thinking in Trading Analytics

Loading...

Frequently asked questions

Here you’ll find answers to the most common questions you may have on Trading analytics. If you have any other questions, please get in touch. 

Physical and financial energy traders, trading analysts, quant desks, schedulers, and risk managers – at commodity trading houses, utilities, hedge funds, E&P companies, and midstream operators. If your team makes decisions based on what's happening in the gas, power, oil, or LNG market right now, this is built for you. 

Most energy analytics products are built on the same public inputs: pipeline nominations, EIA filings, ENTSO-E reports. WoodMac's physical observation layer is built on 8,300 proprietary sensors we own and operate – those signals are not available anywhere else. 

Cargo tracking platforms focus on vessel movements and cargo flows. WoodMac's physical intelligence is upstream of that: liquefaction train monitoring, pipeline flow EMF sensors, refinery infrared cameras, and intrastate storage. Many subscribers use both in parallel. 

Yes – that's one of the primary use cases. Data is available via API and Snowflake, structured for direct model ingestion. 

The sensor network you know as Genscape was acquired by Wood Mackenzie in 2019. Since joining WoodMac, that physical data sits within a broader analytical ecosystem.