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US Dollar / Brazilian Real (USD/BRL) Up or Down on July 13?
polymarket

US Dollar / Brazilian Real (USD/BRL) Up or Down on July 13?

Volume:
$18

US Dollar / Brazilian Real (USD/BRL) Up or Down on July 13?

 - Polymarket

US Dollar / Brazilian Real (USD/BRL) Up or Down on July 13? - Polymarket

1W

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Negative

Neutral

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Vol.

·

Resolved Jul 13, 2026

Closed: Jul 13, 5:00 PM EST

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US Dollar / Brazilian Real (USD/BRL) Up or Down on July 13?

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100%
Yes 100¢No 0¢
0.1¢
N/A
$18
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

This market will resolve to "Up" if the Pyth-published price for US Dollar / Brazilian Real (USD/BRL) at 5:00 PM ET on July 13, 2026 is higher than or equal to the Pyth-published price at 5:00 PM ET on the most recent prior trading day. Otherwise, this market will resolve to "Down". E.g., ordinarily, a market on Monday would refer to the previous Friday for its reference price, unless that Friday were a market holiday, in which case it would refer to the next most recent trading day. If no Pyth-published price is available at exactly 5:00 PM ET on a relevant day — whether due to normal feed timing, a system outage, data failure, or other technical disruption preventing verification — the most recent valid Pyth-published price prior to that day's 5:00 PM ET cutoff will be used; if no valid Pyth price exists for that day at all, the most recent prior day on which a valid Pyth price was published will be used in its place. The resolution source for this market is Pyth, specifically the US Dollar / Brazilian Real (USD/BRL) price feed page: https://pythdata.app/explore/FX.USD%2FBRL. UMA resolvers should verify against the Pyth-published prices for the relevant 5:00 PM ET timestamps.

Polymarket

This market will resolve to "Up" if the Pyth-published price for US Dollar / Brazilian Real (USD/BRL) at 5:00 PM ET on July 13, 2026 is higher than or equal to the Pyth-published price at 5:00 PM ET on the most recent prior trading day. Otherwise, this market will resolve to "Down". E.g., ordinarily, a market on Monday would refer to the previous Friday for its reference price, unless that Friday were a market holiday, in which case it would refer to the next most recent trading day. If no Pyth-published price is available at exactly 5:00 PM ET on a relevant day — whether due to normal feed timing, a system outage, data failure, or other technical disruption preventing verification — the most recent valid Pyth-published price prior to that day's 5:00 PM ET cutoff will be used; if no valid Pyth price exists for that day at all, the most recent prior day on which a valid Pyth price was published will be used in its place. The resolution source for this market is Pyth, specifically the US Dollar / Brazilian Real (USD/BRL) price feed page: https://pythdata.app/explore/FX.USD%2FBRL. UMA resolvers should verify against the Pyth-published prices for the relevant 5:00 PM ET timestamps.

Frequently asked questions

On Polymarket, the USD/BRL exchange rate market dashboard tracks real-time odds and historical price movements for whether the US dollar will strengthen or weaken against the Brazilian real by July 13. The interface displays current market probability, trading volume, and order-book depth, allowing traders to monitor sentiment shifts as the resolution date approaches. This dashboard consolidates all bets placed on the USD/BRL pair into a single probability estimate, updated continuously as new trades execute. Participants use these metrics to gauge market consensus on currency direction and identify potential trading opportunities before the market closes.

Prediction market odds often diverge from traditional analyst forecasts because they reflect real-money incentives and crowd wisdom rather than institutional models alone. While economists and currency strategists publish formal USD/BRL projections based on interest-rate differentials, inflation, and central bank policy, this market aggregates the views of thousands of traders betting their own capital. Analysts may emphasize fundamental factors like Brazil's fiscal outlook or Federal Reserve decisions, whereas prediction markets incorporate breaking news and sentiment shifts more dynamically. Comparing the two reveals whether professional consensus aligns with market-based expectations or if traders are pricing in scenarios analysts have overlooked.

On Polymarket, this market is priced through an automated market maker that converts order flow into real-time probabilities. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy or sell shares representing each outcome—USD/BRL up or down—and the platform's algorithm adjusts the price continuously based on supply and demand. Higher trading volume typically tightens the bid-ask spread, making prices more reliable. The probability displayed reflects the marginal cost of buying one additional share of a given outcome, ensuring that prices remain efficient as new information arrives and positions shift.

This market resolves around Jul 13, 2026, with the outcome confirmed once the USD/BRL exchange rate movement is verifiable from credible public reporting. The resolution hinges on whether the rate closes higher or lower on that date compared to a predetermined reference level. Traders should monitor official central bank announcements, economic data releases, and currency market reports in the days leading up to resolution. Once the event is finalized and independently verified, the platform distributes winnings to holders of the correct outcome and closes all positions.

Major catalysts for USD/BRL movement include US Federal Reserve interest-rate decisions, Brazilian Central Bank policy shifts, inflation data from both nations, and geopolitical developments affecting emerging-market currencies. Commodity prices—particularly oil and agricultural exports—significantly influence the real because Brazil is a major commodity exporter. Trade tensions, capital flows, and risk sentiment toward emerging markets can trigger sharp swings. Economic surprises, such as unexpected employment or GDP figures, often trigger rapid repricing. Traders monitoring this market should track central bank calendars, macroeconomic releases, and global risk sentiment to anticipate directional moves before resolution.