Why a trader cares
Gas reacts to changing expectations. Forecast revisions and departures from normal can matter more than an isolated historical degree-day value.
Data & AnalyticsWeather
Natural-gas demand pressureLive
Track weather pressure as a changing demand input—not a static seasonal chart.
Weather analytics place HDD/CDD history and forecast shifts beside price and the natural-gas balance so revisions can be interpreted in context.
Question answered
How is forecast weather pressure changing expected gas demand relative to normal?
Built for more than one level of market experience
Start simple. Keep the professional context.
Every screen preserves the instrument, period, unit, source, and limitation while explaining why the evidence matters.
Start here01
Identify the observation before interpreting it.
Read the instrument, unit, timestamp, period, and source first. A weekly stock estimate and a five-minute futures quote answer different questions.
Desk read02
Compare level, change, and historical context.
The current value matters less without its direction of travel, seasonal baseline, related markets, and the catalyst that moved expectations.
Professional use03
Demand cross-source confirmation and preserve uncertainty.
Treat every dataset as evidence with a release lag, methodology, revision risk, and known blind spots. The workflow should be reproducible after the fact.
Component guide
What each component means—and how a desk reads it.
Definitions stay plain enough to learn from, while the desk read preserves the mechanism, cadence, and source a professional user expects.
Heating degree days
In plain English
HDD measures how far a day's mean temperature falls below a 65°F base and serves as a proxy for space-heating demand.
Professional read
More HDD generally raises heating load, but regional population, fuel mix, storage, and forecast expectation determine market impact.
- Cadence
- Daily history and forecast refresh
- Source
- Open-Meteo temperatures; NOAA-consistent calculation
Cooling degree days
In plain English
CDD measures how far a day's mean temperature rises above 65°F and proxies cooling demand.
Professional read
More CDD can increase gas-fired power burn, but the response depends on generation mix, renewables, coal economics, and regional constraints.
- Cadence
- Daily history and forecast refresh
- Source
- Open-Meteo temperatures; NOAA-consistent calculation
Forecast revision
In plain English
The difference between the latest forecast and the prior forecast for the same target dates.
Professional read
Commodity prices often react to the change in expected demand rather than to a forecast level the market already absorbed.
- Cadence
- With each forecast issue
- Source
- Stored forecast vintages
Departure and seasonal context
In plain English
Current degree-day pressure is compared with normal and seasonally similar periods.
Professional read
A warm day in January and a warm day in July imply different gas-balance effects; calendar context is non-negotiable.
- Cadence
- Daily
- Source
- Historical weather proxy
Balance and price overlay
In plain English
Weather is read alongside Henry Hub, storage, LNG, production, and power-burn evidence.
Professional read
A colder revision may fail to tighten the market if production rises, LNG demand falls, or storage begins from a large surplus.
- Cadence
- Mixed cadence by source
- Source
- Enerlytics natural-gas balance
What data it uses
The evidence underneath the screen.
- HDD and CDD observations
- Forecast and revision context where available
- Historical seasonal comparisons
- Henry Hub price history
- Storage, LNG, production, and power-burn evidence
How Enerlytics interprets it
Method before conclusion.
- 01
Separates heating and cooling demand pressure
- 02
Compares changes with seasonal context
- 03
Connects weather to balances rather than declaring a direction from weather alone
How it connects
Evidence moves through a workflow.
- 01Forecast revision
- 02Degree-day pressure
- 03Demand implication
- 04Balance confirmation
- 05Price and curve reaction
What not to infer
The current weather system is a weighted Lower-48 proxy and not a replacement for a full population-weighted commercial weather product.
Worked market workflow
Translate a forecast change into a balance question
Weather is a demand input. The tradeable question is how the revision changes the expected supply-demand and storage path.
- 1
Measure revision
Compare the same target dates across forecast vintages.
- 2
Identify load
Separate heating from cooling pressure and locate the affected period.
- 3
Adjust the balance
Consider production, LNG, power burn, pipeline constraints, and starting storage.
- 4
Observe market acceptance
Check Henry Hub flat price and seasonal curve response.
Methodology and limitations
Trust comes from showing the seams.
Transparent proxy
Enerlytics currently uses an eight-city weighted Lower-48 proxy. The methodology is intentionally disclosed because it is not equivalent to a commercial population-weighted weather model.
HDD/CDD are indicators
Degree days compress temperature into demand pressure. They do not directly forecast gas consumption without regional and sector context.
Verified production coverage
Coverage reviewed against the production data store on October 2, 2026. Live totals continue to grow.
- Historical and forecast degree-day vintages are persisted separately so revisions can be measured rather than overwritten.
- The weather view connects those vintages with storage, Henry Hub, LNG, and balance evidence.
Primary references
Enerlytics links the underlying methodology so customers can distinguish a product interpretation from the source definition.
See the product
A real Enerlytics workflow—not a conceptual mockup.
Weekly research, recaps, and video explainers
See the evidence used in a real market conversation.
Enerlytics publishes weekly market recaps, component explainers, and thesis walkthroughs. For Weather, the recurring desk question is: Which forecast revision changed expected gas demand this week, and did storage and the seasonal curve validate that change?
Weekly market notes →Written recaps tied to the same evidence workflow.Public signal reviews →Current states with accountability and limitations.Video recaps on X →Short market recaps, chart walkthroughs, and thesis updates.Explainers on Threads →Component education and the reasoning behind each market read.
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