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US Dollar / South African Rand (USD/ZAR) Up or Down on July 20?
polymarket

US Dollar / South African Rand (USD/ZAR) Up or Down on July 20?

Volume:
$27

US Dollar / South African Rand (USD/ZAR) Up or Down on July 20?

 - Polymarket

US Dollar / South African Rand (USD/ZAR) Up or Down on July 20? - Polymarket

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Resolved Jul 20, 2026

Closed: Jul 20, 5:00 PM EST

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US Dollar / South African Rand (USD/ZAR) Up or Down on July 20?

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$27
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 / South African Rand (USD/ZAR) at 5:00 PM ET on July 20, 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 / South African Rand (USD/ZAR) price feed page: https://pythdata.app/explore/FX.USD%2FZAR. 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 / South African Rand (USD/ZAR) at 5:00 PM ET on July 20, 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 / South African Rand (USD/ZAR) price feed page: https://pythdata.app/explore/FX.USD%2FZAR. UMA resolvers should verify against the Pyth-published prices for the relevant 5:00 PM ET timestamps.

Frequently asked questions

On Polymarket, the USD/ZAR exchange rate market dashboard displays real-time odds and historical price movements for whether the South African Rand will strengthen or weaken against the US Dollar by July 20. The interface shows current market probability, 24-hour volume of $27, and cumulative trading activity. Traders use this data to monitor sentiment shifts and liquidity depth as the event date approaches. The dashboard updates continuously, allowing participants to track how market expectations evolve in response to economic data, central bank announcements, and currency market developments affecting both nations.

Prediction market odds often diverge from traditional analyst forecasts because they reflect real-money incentives and crowdsourced expectations rather than single-institution models. While economists and currency strategists publish directional views on exchange rate movements, this market aggregates the collective judgment of traders betting on the actual outcome. Analysts may emphasize fundamental factors like interest rate differentials and inflation, whereas market participants price in sentiment, geopolitical risk, and short-term technicals. Comparing the two reveals whether professional consensus aligns with decentralized market pricing—a useful cross-check for understanding where conviction lies on either side.

On Polymarket, this market is priced through an automated market maker that converts trader bets into continuous probability quotes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Participants buy or sell shares representing "up" or "down" outcomes, and the price of each share reflects the implied probability of that result. As more capital flows into one outcome, its price rises and the opposing outcome falls, creating a self-correcting mechanism. The spread between bid and ask prices tightens as volume increases, rewarding liquidity providers and allowing larger trades to execute with lower slippage.

This market resolves around Jul 20, 2026, at which point the outcome is confirmed based on the verified exchange rate between the US Dollar and South African Rand. The result is determined by comparing the rate at market close to the reference level established at market creation. Once the event is verifiable from credible public reporting and financial data sources, the winning outcome is settled and traders receive payouts proportional to their position size. All participants are notified of the final result and settlement occurs automatically on the platform.

Several catalysts could shift odds significantly before Jul 20, 2026. US Federal Reserve policy announcements, interest rate decisions, and inflation data directly influence dollar strength. South African Reserve Bank statements and local economic indicators affect Rand valuation. Geopolitical tensions, commodity price swings (particularly gold and platinum, major ZAR drivers), and emerging market risk sentiment also matter. Currency traders monitor real-yield differentials, capital flows, and cross-border investment trends. Unexpected political or fiscal developments in either country, trade announcements, or global risk-off episodes can trigger rapid repricing. Market participants watch these signals closely to adjust positions ahead of resolution.