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Data feed

Weather Edge

Read a weather-ensemble methodology and receive temperature-market signals based on model probability versus Kalshi prices.

Visit official sitestewyboy1990.github.io
Available on
Web, Email
Pricing
Daily email signals are advertised as free.

Screenshots and interface

What is Weather Edge?

Weather Edge describes a daily weather-market research workflow built from GFS and ECMWF ensemble members, NWS bias correction and city-specific calibration. It compares the resulting probability with temperature-contract prices and applies an edge threshold and liquidity filter. The public page also exposes a small results sample that needs to be read in full.

Who it is for

  • Researchers learning ensemble-to-contract mapping
  • Users following US temperature markets
  • Readers comparing model disagreement and market prices

Features and coverage

Available on
Web, Email
Markets & venues
Kalshi
  • Two ensemble families

    Combine 31 GFS and 51 ECMWF members.

  • Bias correction

    Use NWS point forecasts in the stated adjustment.

  • City calibration

    Apply city-specific uncertainty scaling.

  • Edge threshold

    The described signal floor is eight percentage points.

  • Liquidity filter

    Exclude thin markets according to the model’s rules.

  • Scheduled scans

    The page lists 5, 7 and 9 AM Central Time.

  • Email delivery

    Subscribe for the described daily signal summary.

  • Results sample

    Inspect both the restricted high-confidence subset and the fuller calibration sample.

Workflows with Weather Edge

Research a signal

Match the city, station, date and threshold to the contract rules.

Inspect disagreement

Read the ensemble assumptions rather than using a single weather-app number.

Evaluate the record

Separate resolved, pending and calibration-period entries.

Pricing and total cost

Daily email signals are advertised as free.

Getting started

Before you start: The public results table contains a small, dated sample and pending entries; it is not a current complete performance series.

  1. Read the methodology.
  2. Confirm the cities and scan schedule.
  3. Inspect the full sample record.
  4. Subscribe if the coverage fits your markets.
  5. Check every signal against the exact contract.

Useful links

What to check

  • The public results table contains a small, dated sample and pending entries; it is not a current complete performance series.
  • The page’s 82 inputs are ensemble members, not 82 independent model families.
  • The covered market venue is Kalshi, not native Polymarket execution.

A closer look

Ratings & reviews

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Editorial rating
3.0/ 5
0 user reviews

Our take on Weather Edge

Named ensembles, station adjustments and an explicit threshold make the signal methodology inspectable. A small dated results table does not establish current performance or dependable live coverage.

Based on documented features, setup and access terms. How we rate

User reviews 0

The main score switches to user ratings after 5 published reviews.

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Frequently asked questions about Weather Edge

Is it a trading terminal?

The reviewed service describes research and email signals.

Which models are used?

GFS and ECMWF ensembles with an NWS adjustment.

Does it cover every city?

No, a defined US-city set is listed.