TOTAL VOLUME:
$97.8b
24H VOL:
$231,133,772
24H TRANSACTIONS:
962,450,368
OPEN INTEREST:
$2,223,747,515
841,095
Markets across
15,890
events
MATCHED EVENTS:
1,060
PLATFORM COVERAGE:
5
Polymarket:
45%
VS.
Kalshi:
55%
Time left: 14d:18h:02m
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This event group tracks whether XRP will trade above various price thresholds on or around July 1st. Polymarket focuses on a specific snapshot (Binance XRP/USDT close price at noon ET on July 1), while Kalshi tracks whether XRP ever touches price levels through July 31, 2026. The two platforms use fundamentally different settlement mechanics and time horizons.
This market will resolve to "Yes" if the Binance 1 minute candle for XRP/USDT 12:00 in the ET timezone (noon) on the date specified in the title has a final "Close" price higher than the price specified in the title. Otherwise, this market will resolve to "No". The resolution source for this market is Binance, specifically the XRP/USDT "Close" prices currently available at https://www.binance.com/en/trade/XRP_USDT with "1m" and "Candles" selected on the top bar. Please note that this market is about the price according to Binance XRP/USDT, not according to other exchanges or trading pairs. Price precision is determined by the number of decimal places in the source.
XRP price levels are monitored continuously from market issuance through 11:59 PM ET on July 31, 2026 using CF XRPUSD_RTI minute-by-minute data. For each minute throughout the measurement period, a trimmed mean settlement value is calculated by removing the top and bottom 20% of the cumulative dataset and averaging the remaining values. If the trimmed mean for any single minute reaches or exceeds the specified threshold, the corresponding outcome resolves to Yes. This methodology mitigates the impact of extreme price volatility. If CF Benchmarks data is unavailable or incomplete at expiration, affected outcomes resolve to No. For cryptocurrencies with multiple versions, the Exchange specifies which version or ticker is tracked.
Prediction market odds distill forward-looking expectations into a single probability, whereas spot prices reflect only current supply and demand. On this market, traders are pricing in macroeconomic factors, regulatory developments, and XRP-specific catalysts expected between now and July. The implied odds often diverge from what traditional analysts forecast because prediction markets reward accuracy with real financial incentives. This creates a self-correcting mechanism: traders who misjudge the probability face losses, while accurate forecasters profit, gradually aligning odds with genuine expectations over time.
Polymarket and Kalshi operate under distinct rule sets and attract different trader demographics, leading to pricing divergence. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Liquidity depth, fee structures, and settlement definitions vary between platforms—Polymarket may emphasize one price source while Kalshi uses a different methodology. Geographic and regulatory constraints also shape participation pools. Arbitrage traders exploit these gaps, but friction costs and timing lags prevent instant convergence. Monitoring both venues reveals where smart money sees opportunity and highlights which platform's pricing may be more or less efficient for this particular outcome.
This market resolves around Aug 1, 2026, at which point the outcome is confirmed against credible public sources. The resolution hinges on verifying XRP's price level on the specified date through established market data. Once the event is observable and reported by reputable financial data providers, the market settles and payouts are distributed to winning traders. Until that moment, positions remain open and odds continue to shift as new information emerges and traders adjust their forecasts.
Major catalysts include regulatory announcements affecting XRP's legal status, macroeconomic shifts in risk appetite, Bitcoin and Ethereum price movements, and developments within the Ripple ecosystem. Institutional adoption news, central bank policy changes, and broader crypto market sentiment swings all influence trader positioning. Technical breakouts or breakdowns on the spot market can trigger rapid repricing as participants reassess probability. Monitoring on-chain metrics, social sentiment, and traditional finance headlines helps traders anticipate moves before they're fully priced in, creating opportunities to adjust exposure ahead of resolution.
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