TOTAL VOLUME:
$134.2b
24H VOL:
$129,159,707
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,442,132,418
404,744
Markets across
30,489
events
MATCHED EVENTS:
2,691
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 23, 4:00 PM EST
Kalshi
This event group tracks whether the S&P 500 ETF (SPY) will reach specific price levels during June 2026. Predict.io and Polymarket focus on intraday 1-minute candle highs and lows during regular trading hours, while Kalshi measures the end-of-day closing value of the S&P 500 index on June 23, 2026. The markets use different underlying assets (SPY ETF vs S&P 500 index) and different measurement methodologies (intraday extremes vs single closing value).
What will S&P 500 (SPY) hit in June 2026?
Resolution is based on the end-of-day S&P 500 index value on June 23, 2026. Each outcome corresponds to a specific price threshold; if the index closes above that threshold, the market resolves to Yes. The market closes on June 23, 2026 and expires at the sooner of the first data release or one week after the target date. Per the Kalshi Rulebook, the Exchange has modified the Source Agency and Underlying for indices markets.
What will S&P 500 (SPY) hit in June 2026?
Prediction market odds reflect real-money bets from thousands of traders and reflect collective expectations about SPY's June 2026 range. Analyst forecasts, by contrast, typically focus on year-end or longer-horizon targets and rely on fundamental models. Markets often price in tail risks and volatility that traditional equity research may underweight. Comparing the two reveals whether consensus expects SPY to remain range-bound or break decisively above or below key technical and valuation thresholds by mid-2026.
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. Each platform attracts different trader demographics, liquidity pools, and fee structures, which can create temporary price gaps. Polymarket may show stronger conviction on lower price targets while Kalshi emphasizes upside scenarios, reflecting divergent risk appetites. Differences in market depth, settlement clarity, and cross-platform arbitrage friction also play a role. These spreads typically narrow as the June 2026 event approaches and more capital flows to the most liquid venue.
Major catalysts include Federal Reserve policy decisions, inflation reports, corporate earnings revisions, and geopolitical developments that shift risk sentiment. Recession fears or credit stress could push SPY toward lower strike levels, while strong GDP growth or earnings surprises might drive it higher. Volatility spikes around FOMC meetings and jobs data releases often trigger sharp repricing. Technical breaks above or below key support and resistance levels can also accelerate moves toward the extreme price targets embedded in these prediction markets.