Research
Research and case studies demonstrating how Snowtrail signals detect structural stress, market regime shifts, and cross-commodity contagion before price confirms the move.
Real market events where Snowtrail signals detected, tracked, and explained the move before price confirmed it.
Snowtrail's PEMI index signalled extreme grid stress across 11 European zones three days before peak power price dislocation, giving traders an actionable window ahead of a multi-week cascade.
US Gas and Weather Intelligence Case StudySnowtrail's WRSI flagged extreme cold risk 13 days before Henry Hub spiked from $3.06 to $30.72.
Cross-Basin Gas Intelligence Case StudyA single LNG terminal explosion produced opposite signals across interconnected markets.
Deeper analysis showing how signals interpret complex, multi-product market dynamics.
When France took around 50% of its nuclear fleet offline during a cold spell, PEMI's weather-amplified event layer captured the compound risk that single-variable monitoring systems missed.
Global Gas Intelligence Case StudyDuring the winter of 2021-22, both basins drew storage simultaneously while Russian pipeline flows declined.
GBSI Case StudyDuring three separate market panics, GBSI correctly stayed in BALANCED regime while prices spiked on headlines.
Forward-looking scenario analysis and strategic positioning using live signals and historical analogues.
A live signal dashboard showing current market calm alongside historical stress analogues, demonstrating how Snowtrail signals would behave during a major supply disruption scenario.
GLMI Case StudySnowtrail's GLMI tracked Europe's transformation from a residual LNG buyer to the marginal price-setter, capturing the structural shift in competition intensity and cargo flows that defined 2021-2022.
These case studies show historical signal behaviour. Snowtrail provides the same signals live through API access.
Request Demo