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S&P 500 (SPX) Up or Down on July 1?

How the prediction market is pricing "S&P 500 (SPX) Up or Down on July 1?" right now — Polymarket mid plus comparison with Betfair and Manifold.

0% YES 100% NO Volume: $374K Liquidity: $7K Closes: 1 Jul 2026
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S&P 500 (SPX) Up or Down on July 1?

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via World Cup 2026 Favorites) Pick
polygram.ink (preferred broker)
0% 100% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Trade this market →
Polymarket (direct)
polymarket.com
0% 100% 0% Geo-blocked in US/UK/EU USDC, on-chain Trade this market →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD Trade this market →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR Trade this market →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) Trade this market →

Market context

The market resolves to “Up” if the S&P 500 closes higher on Wednesday, 1 July 2026 than on the most recent prior trading day—typically Tuesday, 30 June, unless that day was a holiday. With the index at 7,516.84 and up 0.23% intraday, the crowd-implied 40% YES probability suggests traders expect a slight dip, possibly reflecting weak momentum after a 1.53% five-day decline and a 6.27% one-month drop [1][2].

Historically, July 1 has often followed a flat or slightly negative June end, especially when the prior month saw sustained outflows; in 2023 and 2025, the index closed lower on 1 July after similar short-term corrections, framing today’s bearish tilt as consistent with past patterns [3][4]. The 52-week high of 7,620.90 reached on 2 June now acts as resistance, and the current 5.11% year-to-date loss adds weight to the “Down” side [2][6].

Key catalysts include the Federal Reserve’s July meeting minutes, which could signal tighter policy, and earnings from major components like Delta Air Lines and Domino’s Pizza, both down over 5% recently [2]. Traders should also monitor the VIX futures for Week 1 of July, as elevated volatility often precedes intraday reversals [8]. A surprise in inflation data or a shift in guidance from tech giants could quickly alter the day’s direction.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Football-specific comparison page for S&P 500 (SPX) Up or Down on July 1?. Polymarket's live quote (Polygon order book) plus platform attributes for the three reference venues. Sports markets reward liquidity — Polymarket and Betfair are materially deeper than Kalshi (US-focused) or Manifold (play-money).

Resolution & payout

Sports markets typically settle on official final-whistle plus league confirmation. Polymarket uses UMA Optimistic Oracle with a source URL per contract — usually official league data feeds or ESPN/Soccerway. Two-hour dispute window, then smart-contract payout in USDC.

FAQ

Are prediction markets better than sports betting?
Prediction markets tend toward tighter odds than bookmakers because they use peer-to-peer exchange rather than bookmaker margin. On major matches, Polymarket quotes typically sit 2-5% closer to the true probability model than bet365 or DraftKings.
Can I bet on individual matches?
Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
What are live sports odds on Polymarket?
Some top-tier matches stay open during play — you can trade the half-time probability in the 70th minute. Polymarket mid-prices update second-by-second; any frontend mirroring the order book shows the same movement.
How fast do sports winnings settle?
Once the official league outcome is logged in the UMA Oracle (typically 1-2 hours after the final whistle), Polymarket's smart contract triggers USDC payout. To your wallet within minutes.
Can I import form data and lineups?
This page shows the live Polymarket quote as an implied probability. Form data and lineups must be researched separately via sports data providers (e.g. Soccerway, ESPN, FBref) — we surface the market probability, not the sport analysis.
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