OneMedNet (NASDAQ:ONMD) Insider Purchases $249,998.04 in Stock

OneMedNet Corporation (NASDAQ:ONMD) insider Jeffrey Yu acquired 45,126 shares of OneMedNet stock in a transaction dated Friday, October 9th. The shares were bought at an average cost of $5.54 per share, for a total transaction of $249,998.04. Following the completion of the purchase, the insider directly owned 896,840 shares of the company’s stock, valued at approximately $4,968,493.60. The trade was a 5.30% increase in their position. The transaction was disclosed in a legal filing with the Securities & Exchange Commission, which is available at the SEC website.

Jeffrey Yu also recently made the following trade(s):

• On Thursday, September 10th, Jeffrey Yu acquired 14,285 shares of OneMedNet stock. The stock was bought at an average price of $6.30 per share, for a total transaction of $89,995.50.

OneMedNet Trading Up 2.3%

Shares of NASDAQ ONMD traded up $0.09 during midday trading on Tuesday, reaching $4.02. The company had a trading volume of 37,062 shares, compared to its average volume of 70,608. OneMedNet Corporation has a one year low of $3.61 and a one year high of $32.00. The firm’s fifty day moving average price is $6.10 and its 200-day moving average price is $7.25.

Analysts Set New Price Targets

Separately, Weiss Ratings raised OneMedNet from a “sell (e+)” rating to a “sell (d-)” rating in a research note on Monday, August 24th. One equities research analyst has rated the stock with a Sell rating. According to MarketBeat.com, OneMedNet has a consensus rating of “Sell”.

About OneMedNet

OneMedNet Corporation is a healthcare technology company that develops infrastructure for accessing, managing and analyzing medical data. Its platform is designed to help healthcare providers, researchers, life sciences companies and other authorized users work with clinical and medical-imaging information while keeping the underlying data within the organization that controls it.

The company’s technology uses a federated data model, allowing participating institutions to collaborate on data analysis without routinely transferring sensitive patient information to a centralized repository.