Opendoor Technologies (OPEN) shares trade near $3.30 following Q2 2026 results that showed revenue of $883 million (down 44% year-over-year) alongside improved contribution margin of 5.8% and a 77% sequential rise in home acquisitions, supported by operational leverage and the lowest marketing costs per contract in company history. The housing market's elevated mortgage rates and low existing-home sales volume continue to pressure resale activity and inventory turnover, while recent $650 million zero-coupon convertible notes and a 5% share repurchase add liquidity and reduce float without immediate dilution below $10.38. With probabilities clustered around 39.5–50% across multiple price bands, trader sentiment reflects uncertainty over whether sequential volume gains and path-to-profitability targets can offset sector headwinds before the week closes.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui<$1.00 98%
$6.00-$7.00 79%
$7.00-$8.00 79%
$8.00-$9.00 79%
<$1.00
98%
$1.00-$2.00
50%
$2.00-$3.00
50%
$3.00-$4.00
50%
$4.00-$5.00
50%
$5.00-$6.00
50%
$6.00-$7.00
79%
$7.00-$8.00
79%
$8.00-$9.00
79%
$9.00-$10
79%
>$10
79%
<$1.00 98%
$6.00-$7.00 79%
$7.00-$8.00 79%
$8.00-$9.00 79%
<$1.00
98%
$1.00-$2.00
50%
$2.00-$3.00
50%
$3.00-$4.00
50%
$4.00-$5.00
50%
$5.00-$6.00
50%
$6.00-$7.00
79%
$7.00-$8.00
79%
$8.00-$9.00
79%
$9.00-$10
79%
>$10
79%
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied.
The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Opendoor Technologies Inc. (OPEN) available at https://pythdata.app/explore/Equity.US.OPEN%2FUSD.
Pasar Dibuka: Aug 28, 2026, 6:00 PM ET
Sumber Resolusi
https://pythdata.app/explore/Equity.US.OPEN%2FUSDResolver
0x69c47De9D...If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied.
The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Opendoor Technologies Inc. (OPEN) available at https://pythdata.app/explore/Equity.US.OPEN%2FUSD.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.OPEN%2FUSDResolver
0x69c47De9D...Opendoor Technologies (OPEN) shares trade near $3.30 following Q2 2026 results that showed revenue of $883 million (down 44% year-over-year) alongside improved contribution margin of 5.8% and a 77% sequential rise in home acquisitions, supported by operational leverage and the lowest marketing costs per contract in company history. The housing market's elevated mortgage rates and low existing-home sales volume continue to pressure resale activity and inventory turnover, while recent $650 million zero-coupon convertible notes and a 5% share repurchase add liquidity and reduce float without immediate dilution below $10.38. With probabilities clustered around 39.5–50% across multiple price bands, trader sentiment reflects uncertainty over whether sequential volume gains and path-to-profitability targets can offset sector headwinds before the week closes.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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