Opendoor Technologies (OPEN) shares closed the prior week near $2.79 amid ongoing pressure from elevated Treasury yields and a 23% monthly decline, anchoring trader consensus on the $2.00-$3.00 band at 80% implied probability. Q2 2026 results showed 23% sequential revenue growth to $883 million, improved contribution margins, and rising acquisition volumes, yet year-over-year revenue fell 44% as the company cleared inventory and navigated higher rates. CEO commentary in early September acknowledged a modest six-to-eight week slip in adjusted net income breakeven timing, weighing on sentiment despite reaffirmed 2026 targets and operational leverage gains. With no major catalysts until November earnings, the tight range reflects current trading levels and housing-market sensitivity to monetary policy.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$2.00-$3.00 96%
$3.00-$4.00 5%
$4.00-$5.00 2.0%
$5.00-$6.00 1.9%
<$1.00
1%
$1.00-$2.00
2%
$2.00-$3.00
96%
$3.00-$4.00
5%
$4.00-$5.00
2%
$5.00-$6.00
2%
$6.00-$7.00
1%
$7.00-$8.00
1%
$8.00-$9.00
1%
$9.00-$10
1%
>$10
1%
$2.00-$3.00 96%
$3.00-$4.00 5%
$4.00-$5.00 2.0%
$5.00-$6.00 1.9%
<$1.00
1%
$1.00-$2.00
2%
$2.00-$3.00
96%
$3.00-$4.00
5%
$4.00-$5.00
2%
$5.00-$6.00
2%
$6.00-$7.00
1%
$7.00-$8.00
1%
$8.00-$9.00
1%
$9.00-$10
1%
>$10
1%
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 11, 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 Technologies (OPEN) shares closed the prior week near $2.79 amid ongoing pressure from elevated Treasury yields and a 23% monthly decline, anchoring trader consensus on the $2.00-$3.00 band at 80% implied probability. Q2 2026 results showed 23% sequential revenue growth to $883 million, improved contribution margins, and rising acquisition volumes, yet year-over-year revenue fell 44% as the company cleared inventory and navigated higher rates. CEO commentary in early September acknowledged a modest six-to-eight week slip in adjusted net income breakeven timing, weighing on sentiment despite reaffirmed 2026 targets and operational leverage gains. With no major catalysts until November earnings, the tight range reflects current trading levels and housing-market sensitivity to monetary policy.
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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