TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 1, 4:00 AM EST
Polymarket
This market will resolve to "Up" if the Solana price at the end of the time range specified in the title is greater than or equal to the price at the beginning of that range. Otherwise, it will resolve to "Down". The resolution source for this market is information from Chainlink, specifically the SOL/USD data stream available at https://data.chain.link/streams/sol-usd. Please note that this market is about the price according to Chainlink data stream SOL/USD, not according to other sources or spot markets.
On Polymarket, Solana Up or Down - June 1, 12:00AM-4:00AM ET is priced as a binary contract where each outcome—Up or Down—trades as a separate share. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current odds reflect the cumulative trading activity and order book depth for each side. Prices move as traders place limit and market orders, with the spread between bid and ask widening or tightening based on liquidity. The probability displayed represents the implied chance that SOL will close higher than its opening price during the specified four-hour window. Traders can enter or exit positions at any time before market resolution, locking in gains or cutting losses.
Several catalysts could influence Solana's price during the June 1 window. Macro events—such as Federal Reserve announcements, Bitcoin volatility, or broader crypto market sentiment—often drive altcoin movements. Solana-specific news, including network upgrades, validator performance issues, or major partnership announcements, could trigger sharp directional moves. Trading volume and liquidity conditions during that early-morning window may amplify price swings. Additionally, options expiry, liquidation cascades on leverage platforms, and algorithmic trading activity during low-liquidity hours can create outsized volatility. Monitoring on-chain metrics, social sentiment, and technical support and resistance levels leading up to June 1 can help inform your prediction.