TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 9, 12:00 PM EST
Polymarket
This event group measures the price of Solana (SOL) on July 9, 2026, across multiple price brackets. Polymarket uses Binance SOL/USDT closing price at 12:00 PM ET (noon), while Kalshi uses CF Benchmarks' SOLUSD_RTI 60-second average at 5:00 PM EDT. Both platforms offer granular price range markets, but they differ in data source, timing, and methodology.
This market will resolve according to the final "Close" price of the Binance 1 minute candle for SOL/USDT 12:00 in the ET timezone (noon) on the date specified in the title. Otherwise, this market will resolve to "No". The resolution source for this market is Binance, specifically the SOL/USDT "Close" prices currently available at https://www.binance.com/en/trade/SOL_USDT with "1m" and "Candles" selected on the top bar. If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket. Please note that this market is about the price according to Binance SOL/USDT, not according to other exchanges or trading pairs.
Resolution is based on the simple average of CF Benchmarks' SOLUSD_RTI over 60 seconds immediately preceding 5 PM EDT on July 9, 2026. Each outcome represents a specific price range, and exactly one outcome resolves to Yes based on where the average price falls. If data is incomplete or unavailable at expiration, affected outcomes resolve to No. The CF Benchmarks Real-Time Index provides continuous pricing data for SOL.
Polymarket and Kalshi operate under different market designs, fee structures, and user bases, which can create pricing divergence even when tracking the same event. 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 varies between platforms—one may attract more active traders in crypto markets, while the other draws a different demographic. Settlement rules, minimum order sizes, and withdrawal timelines also differ, affecting how traders value positions. Additionally, each platform's order book depth and spread influence how quickly prices adjust to new information. Comparing odds across both venues helps identify mispricings and reveals where the broader prediction market community leans most heavily.
Major catalysts for Solana's price include network upgrades, validator performance metrics, ecosystem developments, and shifts in broader crypto market sentiment. Regulatory announcements affecting Solana or the crypto sector generally can trigger sharp repricing. Macroeconomic events—interest rate decisions, inflation data, or risk-on/risk-off cycles—often ripple through digital assets. Competition from other layer-one blockchains and changes in developer activity on Solana also influence trader expectations. Large liquidations, exchange inflows or outflows, and whale transactions can create volatility. Monitoring on-chain metrics, developer updates, and market news helps traders stay informed as this market approaches resolution.