TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 13, 5:00 PM EST
Kalshi
This event group tracks the price of Solana (SOL) on June 13, 2026, across two major prediction platforms using different data sources and time windows. Polymarket uses Binance SOL/USDT at 12:00 PM ET (noon), while Kalshi uses CF Benchmarks SOLUSD_RTI averaged over 60 seconds before 5:00 PM EDT. Both platforms offer granular price bracket markets to allow traders to bet on specific price ranges.
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 determined by the simple average of CF Benchmarks' SOLUSD_RTI over 60 seconds prior to 5 PM EDT on June 13, 2026. Each outcome corresponds to a price threshold, and resolution occurs if the averaged price exceeds that threshold at exactly the specified time. The official and final value is calculated as the average of 60 RTI prices collected at the last minute before expiration. Cryptocurrency price data varies by source; CF Benchmarks' RTI is the authoritative source for this market.
Prediction market odds distill forward-looking sentiment into probabilities, whereas spot prices reflect only current supply and demand. On this market, traders are pricing in volatility, macro conditions, and Solana-specific catalysts months in advance. The odds often diverge from naive extrapolation of today's price because predictors factor in regulatory shifts, network upgrades, and broader crypto sentiment. If this market shows low conviction on any single outcome, it signals genuine disagreement about mid-year direction—a signal spot prices alone cannot convey. Comparing the two reveals whether the market is pricing in mean reversion, momentum, or equilibrium.
Polymarket and Kalshi serve different trader bases, use distinct contract designs, and may have varying liquidity depth for this outcome. 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. Contract structures differ too: one platform may offer tighter price bands while the other uses broader ranges, attracting different risk appetites. Liquidity imbalances mean a large order on one venue can move odds more sharply than on the other. Additionally, each platform's user demographics and fee structures influence how aggressively traders enter or exit positions. These mechanical and behavioral differences create natural spreads that savvy traders exploit for arbitrage.
Major catalysts include Solana network upgrades, validator health announcements, and shifts in institutional adoption or regulatory clarity around SOL. Macro crypto sentiment—driven by Bitcoin moves, Fed policy, or stablecoin developments—often ripples through this market. Competing Layer 1 performance or security incidents elsewhere in the ecosystem can redirect capital flows. Developer activity, ecosystem funding rounds, and exchange listings also influence medium-term price expectations. Geopolitical or macroeconomic shocks that reshape risk appetite will likely reprrice this market sharply. Traders monitoring on-chain metrics, developer commits, and news flow typically spot directional shifts before they fully reflect in odds.