TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 5, 9:08 PM EST
Polymarket
This market will resolve to "Up" if the reference price for US Dollar / Japanese Yen (USD/JPY) on October 5, 2026 is higher than the reference price for the most recent prior reference day. This market will resolve to "Down" if it is lower. If the two reference prices are exactly equal, this market will resolve 50-50. For each day, the reference price is the "Close" value of the Pyth 1-minute candle timestamped 4:59 PM ET (covering 4:59:00–4:59:59 PM ET) on that date. Reference prices will be used exactly as published by Pyth, without rounding. A "reference day" is any day on which the applicable trading session for US Dollar / Japanese Yen (USD/JPY), per the trading-hours schedule listed on Pyth, includes 4:59 PM ET. E.g., ordinarily, a market on Monday would refer to the previous Friday for its reference price, since weekend sessions (where applicable) do not include a 4:59 PM ET close; if that Friday were a market holiday, it would refer to the next most recent prior reference day. All times are Eastern Time, and each day refers to the Eastern Time calendar date. If no valid Pyth Close value exists for the 4:59 PM ET 1-minute candle on any day for which a reference price is being determined — including October 5, 2026 itself, such as on a day with shortened trading hours — the last valid Pyth price published prior to 5:00 PM ET on that date will be used as that day's reference price. If no valid Pyth price is published at all on the prior reference day — due to a system outage, data failure, or other technical disruption — the next most recent prior reference day on which a valid Pyth price was published will be used in its place. If no valid Pyth price is published at all on October 5, 2026, or if October 5, 2026 is not a trading day under the applicable trading-hours schedule as listed on Pyth, this market will resolve 50-50. The resolution source for this market is Pyth, specifically the "Close" value of the relevant 1-minute candle for US Dollar / Japanese Yen (USD/JPY) available at https://pythdata.app/explore/FX.USD%2FJPY. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter.
This market will resolve to "Up" if the reference price for US Dollar / Japanese Yen (USD/JPY) on October 5, 2026 is higher than the reference price for the most recent prior reference day. This market will resolve to "Down" if it is lower. If the two reference prices are exactly equal, this market will resolve 50-50. For each day, the reference price is the "Close" value of the Pyth 1-minute candle timestamped 4:59 PM ET (covering 4:59:00–4:59:59 PM ET) on that date. Reference prices will be used exactly as published by Pyth, without rounding. A "reference day" is any day on which the applicable trading session for US Dollar / Japanese Yen (USD/JPY), per the trading-hours schedule listed on Pyth, includes 4:59 PM ET. E.g., ordinarily, a market on Monday would refer to the previous Friday for its reference price, since weekend sessions (where applicable) do not include a 4:59 PM ET close; if that Friday were a market holiday, it would refer to the next most recent prior reference day. All times are Eastern Time, and each day refers to the Eastern Time calendar date. If no valid Pyth Close value exists for the 4:59 PM ET 1-minute candle on any day for which a reference price is being determined — including October 5, 2026 itself, such as on a day with shortened trading hours — the last valid Pyth price published prior to 5:00 PM ET on that date will be used as that day's reference price. If no valid Pyth price is published at all on the prior reference day — due to a system outage, data failure, or other technical disruption — the next most recent prior reference day on which a valid Pyth price was published will be used in its place. If no valid Pyth price is published at all on October 5, 2026, or if October 5, 2026 is not a trading day under the applicable trading-hours schedule as listed on Pyth, this market will resolve 50-50. The resolution source for this market is Pyth, specifically the "Close" value of the relevant 1-minute candle for US Dollar / Japanese Yen (USD/JPY) available at https://pythdata.app/explore/FX.USD%2FJPY. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter.
Currently, prediction market odds suggest a strong expectation for a specific outcome regarding the USD/JPY exchange rate. It's interesting to compare this to the views of financial analysts, many of whom are also forecasting the exchange rate's movement. However, analyst forecasts are often based on economic models and traditional indicators, while this market reflects the collective wisdom of traders who are putting their capital at risk. Discrepancies between the two can highlight areas of disagreement or differing perspectives on the likely future direction of the exchange rate.
This market resolves around Oct 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official closing price of the USD/JPY exchange rate on October 5, as reported by a widely recognized financial data provider. The direction of the exchange rate—whether it is higher or lower than its starting value—will determine the winning outcome in this market. Traders will be able to claim their winnings based on their holdings of shares representing the correct prediction.
Several key economic indicators and geopolitical events could significantly influence the USD/JPY exchange rate, and therefore move this market. Major factors include interest rate decisions by the Federal Reserve and the Bank of Japan, unexpected shifts in economic growth data from the United States or Japan, and any significant geopolitical developments that could impact global risk sentiment. Unexpected news regarding trade relations or major policy changes could also create volatility and shift the odds in this market. Monitoring these factors will be crucial for understanding potential price movements.