Opendoor (OPEN) shares have traded near multi-month lows around $2.55 amid persistent housing market headwinds, despite Q2 2026 results showing sequential revenue growth to $883 million, record acquisition contracts above 6,900, and contribution margin expansion from operational efficiencies and AI-driven underwriting gains. The company’s recent $650 million zero-coupon convertible notes issuance paired with a $158 million share repurchase has bolstered its balance sheet while signaling confidence in reaching adjusted net income profitability by year-end on current volume trends. With leading price-range outcomes clustered near 50% implied probability, trader consensus reflects uncertainty over near-term catalysts such as September housing data releases and seasonal Q3 margin pressure, leaving resolution dependent on whether volume momentum offsets broader real-estate sector weakness.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$8.00-$9.00 99%
$9.00-$10 99%
>$10 99%
$2.00-$3.00 50%
<$1.00
50%
$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
50%
$7.00-$8.00
50%
$8.00-$9.00
99%
$9.00-$10
99%
>$10
99%
$8.00-$9.00 99%
$9.00-$10 99%
>$10 99%
$2.00-$3.00 50%
<$1.00
50%
$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
50%
$7.00-$8.00
50%
$8.00-$9.00
99%
$9.00-$10
99%
>$10
99%
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.
Market Opened: Sep 18, 2026, 6:00 PM ET
Resolution Source
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.
Resolution Source
https://pythdata.app/explore/Equity.US.OPEN%2FUSDResolver
0x69c47De9D...Opendoor (OPEN) shares have traded near multi-month lows around $2.55 amid persistent housing market headwinds, despite Q2 2026 results showing sequential revenue growth to $883 million, record acquisition contracts above 6,900, and contribution margin expansion from operational efficiencies and AI-driven underwriting gains. The company’s recent $650 million zero-coupon convertible notes issuance paired with a $158 million share repurchase has bolstered its balance sheet while signaling confidence in reaching adjusted net income profitability by year-end on current volume trends. With leading price-range outcomes clustered near 50% implied probability, trader consensus reflects uncertainty over near-term catalysts such as September housing data releases and seasonal Q3 margin pressure, leaving resolution dependent on whether volume momentum offsets broader real-estate sector weakness.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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