InvenSense (INVN) Shares are Up 1.26%

InvenSense (INVN) : Traders are bullish on InvenSense (INVN) as it has outperformed the S&P 500 by a margin of 0.39% in the past 4 weeks. The bullishness in the stock continues even in the near-term as the stock has returned an impressive 0.64%, relative to the S&P 500. The stock has continued its bullish performance both in the near-term and the medium-term, as the stock is up 1.26% in the last 1 week, and is up 7.17% in the past 4 weeks. Buying continues as the stock moves higher, suggesting a strong appetite for the stock.

InvenSense (NYSE:INVN): The stock opened at $6.50 on Friday but the bulls could not build on the opening and the stock topped out at $6.53 for the day. The stock traded down to $6.32 during the day, due to lack of any buying support eventually closed down at $6.43 with a loss of -1.68% for the day. The stock had closed at $6.54 on the previous day. The total traded volume was 813,117 shares.


The stock has recorded a 20-day Moving Average of 4.33% and the 50-Day Moving Average is 4.78%. InvenSense, Inc. has dropped 23.27% during the last 3-month period . Year-to-Date the stock performance stands at -37.15%.

InvenSense, Inc. (InvenSense) is engaged in designing, developing, manufacturing and marketing devices and related software for sensor system-on-chip (SoC) for the motion and sound markets. The Company designs, develops, markets and sells sensor SoCs, including accelerometers, gyroscopes and microphones for the mobile, wearable, smart home, gaming, industrial and automotive market segments. The Companys motion solutions detect and track an objects motion in three-dimensional space. It assimilates information from gyroscopes, accelerometers, magnetometers, pressure sensors and microphones to determine how a host device is moving, its direction, its elevation and what it is hearing. The Companys sensor SoC devices consist of various fundamental components, such as its micro-electro-mechanical-systems (MEMS)-based motion sensors combined with its mixed-signal circuitry for signal processing; its MotionFusion technology, and the MotionApps platform.

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