TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 3, 7:59 AM EST
Kalshi
The Secured Overnight Financing Rate (SOFR) is a benchmark interest rate used in financial markets to set the cost of borrowing funds overnight secured by U.S. Treasury securities. Predicting the SOFR for a specific future date involves analyzing economic indicators, monetary policy decisions, and market expectations. These markets allow participants to bet on whether the rate will fall within certain precise ranges or exceed specific thresholds by a set date.
The event resolves based on the initially reported Secured Overnight Financing Rate (SOFR) for September 2, 2026, drawn from the “Secured Overnight Financing Rate Data” table under the “Rate (%)” column. All markets share this single underlying data point, and later revisions of the reported SOFR are disregarded for resolution purposes. Each market has a distinct resolution condition: one market resolves if the rate is at most 3.60%, six markets resolve if the rate matches exactly 3.61% through 3.65%, and the final market resolves if the rate is at least 3.66%. The outcome of each market depends solely on where the reported SOFR falls relative to these specific thresholds or exact values.
Currently, it's difficult to make a direct comparison between the predictions embedded in this market and traditional analyst forecasts for the SOFR rate. While economic analysts regularly publish predictions for interest rates, these are often presented as point estimates or ranges, rather than probabilistic forecasts like those expressed by traders in this market. It’s important to remember that prediction markets reflect a collective intelligence, incorporating diverse perspectives and real-time information, which may differ from the views of individual analysts or institutions. Examining the differences could reveal insights into market expectations.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different SOFR rate predictions. The price of each contract reflects the probability of that specific SOFR rate being realized on September 2, 2026. As more traders participate, the prices adjust to reflect the collective wisdom of the crowd. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth, or the number of contracts available at different price levels, also indicates the level of confidence traders have in those predictions. This dynamic pricing mechanism allows for a real-time assessment of market sentiment.
This market resolves around Sep 10, 2026, with the outcome confirmed once the actual SOFR rate for September 2, 2026, is verifiable from credible public reporting. The contract corresponding to the SOFR rate closest to the official rate will pay out $1.00, while all other contracts will settle to $0.00. This ensures a clear and objective determination of the winning outcome based on publicly available data. The resolution process is designed to be transparent and reliable, reflecting the actual economic conditions at the time.
Several economic signals and events could significantly move this market before its resolution. Changes in Federal Reserve monetary policy, such as interest rate hikes or cuts, would be a major driver. Unexpected inflation data, employment reports, or GDP growth figures could also influence expectations about future SOFR rates. Geopolitical events or unforeseen economic shocks could also introduce volatility and shift market sentiment. Any news that alters the perceived path of the US economy has the potential to impact trading activity and price movements in this market.