DEADLINE

Kessler Topaz Meltzer & Check, LLP Reminds Investors of Opendoor Technologies Inc. of Deadline in Securities Fraud Class Action Lawsuit and Encourages Investors with Substantial Losses to Contact the Firm - Seite 2

Then, on September 19, 2022, citing a review of industry data, Bloomberg reported that Opendoor appeared to have lost money on 42% of its transactions in August 2022 (as measured by the prices at which it bought and sold properties). Bloomberg further reported that the data was even worse in key markets such as Los Angeles, California, where Opendoor lost money on 55% of sales, and Phoenix, Arizona, where it lost money on 76% of sales. Worse, a global real estate tech strategist interviewed by Bloomberg, Mike DelPrete, predicted that, based on his analyses, September would likely be even worse for Opendoor than August. Bloomberg’s findings evidenced the failure of Opendoor’s Algorithm to adjust accurately to changing market conditions. Following the Bloomberg report, Opendoor’s stock price fell $0.50 per share, or 12.32%, over the following two trading sessions, to close at $3.56 per share on September 20, 2022—an 88.61% decline from the company’s first post-Merger closing stock price of $31.25 per share on December 21, 2020.

According to the complaint, the offering documents for the Merger were negligently prepared and, as a result, contained untrue statements of material fact or omitted to state other facts necessary to make the statements made not misleading and were not prepared in accordance with the rules and regulations governing their preparation. Additionally, throughout the Class Period, Defendants made materially false and misleading statements regarding the company’s business, operations, and prospects. Specifically, the offering documents and Defendants made false and/or misleading statements and/or failed to disclose that: (1) the Algorithm could not accurately adjust to changing house prices across different market conditions and economic cycles; (2) as a result, the company was at an increased risk of sustaining significant and repeated losses due to residential real estate pricing fluctuations; (3) accordingly, Defendants overstated the purported benefits and competitive advantages of the Algorithm; and (4) as a result, the offering documents and Defendants’ public statements throughout the Class Period were materially false and/or misleading and failed to state information required to be stated therein.