How high will the S&P get this year?
Short Answer
1. Executive Verdict
- Major financial analysts forecast S&P 500 reaching 7,500-8,000 by year-end 2026.
- Strong AI-led earnings growth and supportive monetary policy drive forecasts.
- Goldman Sachs and JPMorgan expect S&P 500 growth from Federal Reserve rate cuts.
- Macroeconomic headwinds, such as bond yields, may threaten S&P 500 earnings growth.
- Sustained core inflation above 2% would likely compel the Fed to halt easing.
- Specific Magnificent Seven earnings performance is required to validate the EPS forecast.
Who Wins and Why
| Outcome | Market | Model | Why |
|---|---|---|---|
| 7,200 or above | 99.9% | 99.6% | Analysts forecast S&P 500 growth by year-end 2026, driven by AI earnings and supportive policy. |
| 7,400 or above | 92.4% | 91.2% | Analysts forecast S&P 500 growth by year-end 2026, driven by AI earnings and supportive policy. |
| 7,800 or above | 45.3% | 43.3% | Analysts forecast S&P 500 growth by year-end 2026, driven by AI earnings and supportive policy. |
| 7,600 or above | 81.0% | 78.6% | Analysts forecast S&P 500 growth by year-end 2026, driven by AI earnings and supportive policy. |
| 8,000 or above | 40.9% | 39.2% | Analysts forecast S&P 500 growth by year-end 2026, driven by AI earnings and supportive policy. |
Current Context
2. Market Behavior & Price Dynamics
Historical Price (Probability)
3. Significant Price Movements
Notable price changes detected in the chart, along with research into what caused each movement.
Outcome: 7,600 or above
📈 May 06, 2026: 8.2pp spike
Price increased from 73.4% to 81.6%
📈 May 05, 2026: 10.5pp spike
Price increased from 62.9% to 73.4%
📉 April 28, 2026: 10.5pp drop
Price decreased from 61.9% to 51.4%
Outcome: 7,400 or above
📈 April 30, 2026: 10.9pp spike
Price increased from 73.7% to 84.6%
4. Market Data
Contract Snapshot
This market resolves to "Yes" if the S&P 500 index value reaches above 7799.99 at any point between January 1, 2026, and before January 1, 2027; otherwise, it resolves to "No." The market opens on January 1, 2026, and will close early for payout if the "Yes" condition is met. If the condition is not met, the market closes by January 1, 2027, at 6:00 am EST, with payouts expected 30 minutes after closing, based on verification from sources like Google Finance.
Available Contracts
Market options and current pricing
| Outcome bucket | Yes (price) | No (price) | Last trade probability |
|---|---|---|---|
| 7,200 or above | $1.00 | $0.00 | 100% |
| 7,400 or above | $0.94 | $0.09 | 92% |
| 7,600 or above | $0.83 | $0.19 | 81% |
| 7,800 or above | $0.58 | $0.54 | 45% |
| 8,000 or above | $0.41 | $0.61 | 41% |
| 8,200 or above | $0.33 | $0.67 | 33% |
| 8,400 or above | $0.25 | $0.77 | 25% |
| 8,600 or above | $0.15 | $0.86 | 15% |
| 8,800 or above | $0.13 | $0.93 | 12% |
| 9,000 or above | $0.09 | $0.94 | 9% |
Market Discussion
Traders generally express a bullish sentiment for the S&P 500's peak this year, with strong probabilities favoring it reaching 7,600 or above, and significant interest in targets like 7,800 and 8,000. Many "Yes" positions acknowledge that lower thresholds like 7,200 have already been surpassed, while some traders, though initially bearish, are shifting to bullish stances for mid-range targets. A recurring point of discussion is the platform's slow market settlement and the clarification that intra-day highs are considered for resolution, not solely year-end prices.
5. How do the 2026 year-end S&P 500 forecasts from Goldman Sachs and JPMorgan differ in their underlying assumptions about Federal Reserve interest rate cuts and AI-driven productivity gains?
| Goldman Sachs 2026 S&P 500 Total Return | 12% (as of Jan. 6, 2026) [^][^][^] |
|---|---|
| JPMorgan 2026 S&P 500 Year-End Target | 7,600 (raised in April 2026) [^] |
| Goldman Sachs 2026 US Stocks Forecast | 6% rise [^] |
6. What macroeconomic headwinds in 2026, such as a sharp rise in bond yields or geopolitical shocks, pose the most significant threats to the consensus forecast for S&P 500 earnings growth?
| S&P 500 Earnings Growth CY 2026 | ~15.0% year-over-year [^][^] |
|---|---|
| Crude Oil Price (Geopolitical Shock) | Above $100/bbl [^] |
| S&P 500 Dec 2026 Polymarket (leading outcome) | <$6,000 at 31% [^] |
7. What specific earnings performance from the 'Magnificent Seven' in the first half of 2026 would be required to validate Wall Street's full-year S&P 500 EPS forecast of ~$306?
| Magnificent Seven 2026 Earnings Share | 27% of S&P 500 earnings power [^] |
|---|---|
| AI Contribution to S&P 500 Earnings Growth | Roughly 40% in 2026 [^][^] |
| Magnificent Seven 2026 Earnings Growth Rate | 22.8% (full calendar year) [^] |
8. Beyond the technology sector, which two S&P 500 sectors show the most credible earnings growth potential for 2026, according to reports from major banks like Goldman Sachs and Morgan Stanley?
| Goldman Sachs 2026 S&P 500 EPS Growth | 12% [^][^][^][^][^][^] |
|---|---|
| Morgan Stanley 2026 S&P 500 EPS Growth | 14% to 16% [^] |
| Key Growth Sectors for 2026 | Financials, Industrials, Consumer Discretionary, Healthcare [^][^][^] |
9. What level of sustained inflation in Q3 and Q4 2026 would likely compel the Federal Reserve to halt or reverse its monetary easing policy, according to Fed commentary and analyst expectations?
| Fed Core PCE Inflation Target | 2% [^][^][^][^][^][^] |
|---|---|
| Core PCE Inflation (March 2026) | 3.2% year-over-year [^][^][^][^][^] |
| FOMC Core PCE Projection for 2026 | 2.7% [^][^][^] |
10. What Could Change the Odds
Key Catalysts
Key Dates & Catalysts
- Expiration: January 08, 2027
- Closes: January 01, 2027
11. Decision-Flipping Events
- Trigger: Wall Street analysts provide a range of S&P 500 year-end targets for 2026, with Goldman Sachs forecasting 7,600 [^] , Morgan Stanley at 7,800 [^] , and J.P.
- Trigger: Morgan having raised its year-end target to 7,600 [^] .
- Trigger: However, JPMorgan also cut its 2026 year-end S&P 500 target to 7,200, noting potential for a much lower dip if headwinds intensify [^] .
- Trigger: The Polymarket S&P 500 close-by-Dec-2026 market shows a wide distribution of crowd expectations, with “ [^] .
13. Historical Resolutions
No historical resolution data available for this series.
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