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Showing posts with the label NFO UTI Focused Equity Fund

Data Science and Python Training Program for Everyone(Age=10yrs to 70yrs)

Apply Now Offer Price Rs.899 only. Use Coupon Code= intern899 Training Program Detail: Course Fee  Rs.999 Course Duration 1 Month= 20 classes Timings Monday to Friday  Training Modes Online & Classroom Training Program Description This externship is intelligently devoted to our passionate actors generally admitting and appreciating the very fact that they are on the trail of creating a career in the Data Science discipline. This Training is meant to make sure that also to gaining the needful theoretical knowledge, the compendiums gain sufficient hands- on practice of the word Data Science profession. relatively a training institute, the Training program is the right approach to prompt employment in Data Science. India is growing digitally every day. The demand for Data Science is growing big a day. The benefits of a knowledge Data Science Basic Training Program are in numerous, beginning with the chance to figure with professionals within the field, up to p

NFO UTI Focused Equity Fund

What is focused equity fund?  Focused funds are equity mutual funds that have a concentrated portfolio of no more than 30stcks. The investment strategy aims to pick the best performing stocks that can deliver high returns. Bear in mind that there is no limitation on market cap or sectors where a focus fund invest. NFO UTI Focused Equity Fund Fund type Open ended fund Scheme type Regular/ direct options Growth/ dividend Investment option SIP (500) SWP STRIP LUMPSUM 5000 Investment strategy Maintain a proper balance between risk and return Transformation opportunities – pick business where strategy is realigned to make the outcome more sustainable Cyclical opportunities – when valuation will be attractive, the fund will pick the cyclical opportunities to get the benefits from mean reversion Sustainable businesses – fund will invest companies with long term sustainable growth Follows a blend approach in which a portfolio will have both growth and