Fidelity Disruptive Technology ETF (NASDAQ:FDTX) Sees Significant Increase in Short Interest

Fidelity Disruptive Technology ETF (NASDAQ:FDTX) was the target of a significant growth in short interest in January. As of January 15th, there was short interest totalling 77,500 shares, a growth of 35.7% from the December 31st total of 57,100 shares. Based on an average daily volume of 14,800 shares, the short-interest ratio is currently 5.2 days.

Fidelity Disruptive Technology ETF Stock Performance

NASDAQ FDTX opened at $37.06 on Friday. The firm has a market capitalization of $170.48 million, a P/E ratio of 39.22 and a beta of 1.67. The stock’s fifty day moving average is $36.38 and its two-hundred day moving average is $33.89. Fidelity Disruptive Technology ETF has a fifty-two week low of $27.21 and a fifty-two week high of $37.70.

Institutional Inflows and Outflows

Several hedge funds and other institutional investors have recently modified their holdings of FDTX. Dana Investment Advisors Inc. acquired a new position in Fidelity Disruptive Technology ETF during the 2nd quarter worth approximately $230,000. BXM Wealth LLC acquired a new stake in shares of Fidelity Disruptive Technology ETF during the fourth quarter worth about $218,000. Venturi Wealth Management LLC acquired a new stake in shares of Fidelity Disruptive Technology ETF in the fourth quarter valued at approximately $212,000. Finally, Kovack Advisors Inc. grew its position in shares of Fidelity Disruptive Technology ETF by 17.4% during the third quarter. Kovack Advisors Inc. now owns 9,125 shares of the company’s stock worth $297,000 after acquiring an additional 1,350 shares during the last quarter.

About Fidelity Disruptive Technology ETF

The Fidelity Disruptive Technology ETF (FDTX) is an exchange-traded fund that mostly invests in stocks based on a particular theme. The fund is an actively managed fund that invests in innovative businesses believed to have the potential for market disruption. The fund holds global disruptive technology companies, from machine learning to next-generation hardware and AI.