TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 7, 11:59 PM EST
Kalshi
The event tracks projected foot traffic performance for Cava restaurants in September 2026 using a specialized index. The index compares expected visitor numbers against the same month in the previous year, with values above 100 indicating growth. Outcomes depend on whether the reported index meets or exceeds specific thresholds.
All markets in this event rely on the Carbon Arc Cava Foot Traffic index for September 2026, which measures year-over-year changes in foot traffic using mobile location data from over 200 million devices. The index is calibrated to account for seasonal patterns, weather conditions, and holiday effects, ensuring comparability across years by matching the same calendar days. Each market has a distinct threshold (ranging from above 90 to above 114), and all resolve based on the first value reported by Carbon Arc for September 2026. Any subsequent corrections or revisions to the data after market settlement will not alter the outcome. The index value of 100 represents equal foot traffic to the prior year, with higher values signifying growth and lower values indicating decline.
This market resolves around Oct 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final determination will rely on officially reported foot traffic data for the relevant period, closing the market based on observable, public results.
Several signals could shift this market before Oct 15, 2026. Quarterly earnings reports, same-store sales data, or broader market trends in the restaurant industry may influence trader sentiment. Any major news about Cava’s expansion plans, supply chain disruptions, or consumer behavior changes could also impact expectations. Additionally, macroeconomic factors like inflation or consumer spending patterns might affect foot traffic predictions, causing volatility in this market as traders adjust their positions based on new information.