Burney U.S. Factor Rotation ETF (NASDAQ:BRNY) Short Interest Up 58.0% in March

Burney U.S. Factor Rotation ETF (NASDAQ:BRNY) saw a large growth in short interest in March. As of March 15th, there was short interest totalling 15,800 shares, a growth of 58.0% from the February 29th total of 10,000 shares. Based on an average daily volume of 5,600 shares, the short-interest ratio is currently 2.8 days.

Burney U.S. Factor Rotation ETF Trading Up 0.3 %

BRNY stock traded up $0.09 during midday trading on Friday, reaching $36.40. The stock had a trading volume of 8,373 shares, compared to its average volume of 5,516. The company’s fifty day simple moving average is $34.50 and its 200 day simple moving average is $31.48. Burney U.S. Factor Rotation ETF has a 52-week low of $26.11 and a 52-week high of $36.50.

Burney U.S. Factor Rotation ETF Announces Dividend

The company also recently disclosed a dividend, which was paid on Friday, March 15th. Shareholders of record on Thursday, March 14th were issued a $0.0122 dividend. The ex-dividend date of this dividend was Wednesday, March 13th.

Institutional Inflows and Outflows

An institutional investor recently bought a new position in Burney U.S. Factor Rotation ETF stock. Flow Traders U.S. LLC bought a new stake in Burney U.S. Factor Rotation ETF (NASDAQ:BRNY) during the first quarter, according to the company in its most recent disclosure with the Securities & Exchange Commission. The institutional investor bought 16,806 shares of the company’s stock, valued at approximately $452,000. Flow Traders U.S. LLC owned about 0.28% of Burney U.S. Factor Rotation ETF at the end of the most recent reporting period.

Burney U.S. Factor Rotation ETF Company Profile

The Burney U.S. Factor Rotation ETF Burney U.S. Factor Rotation ETF (BRNY) is an exchange-traded fund that mostly invests in total market equity. The fund is an actively managed fund that shifts US equity exposure between size and style perceived to be advantageous for the given market phase. Individual securities are selected based on a proprietary quantitative model, using a multi-factor approach.