TATA Quant Fund | Machine Driven Investment Approach | Nivesh.com
Ever wondered how does a music app know your favorite songs or a map suggest you the best route and an estimated time to reach your destination or how do you end up getting similar product options or complementary product suggestions on the e-commerce websites for the thing you may wish to buy.
Machine learning and AI are the two technologies driving these innovations and with these technologies, machines can not only analyze and understand new bubblers data but can also make suggestions or take decisions on your behalf.
With real-time basis, the accuracy of such technologies improves in every interaction by users both of these four technologies enter the world of investing it's not an imaginary tape but a reality.
TATA Quant Fund and AI and machine learning-driven mutual fund scheme this fund applies human-created corn models which are optimized machine learning to increase the efficiency of investing decisions.
Sounds exciting right this model would analyze macroeconomic indicators and market valuations and aims to create a winning combination of momentum quality value and market capitalization stocks from the universe of stocks from SNB BSE 200 index and equity derivatives that may perform well under prevailing market conditions then using machine learning algorithms. It will create an optimal portfolio that allocates top weight at a user basis the market direction it would either invest in this portfolio or rebalance itself to reduce the downside risks.
Thus, it would help to rebalance the portfolio on a periodic basis based on the market ceramic while optimizing it's stock selection ability and accuracy over time unlike rule-based conventional code models remove human biases and help in emotion-free investing strictly follow the fund mandate create a well-diversified portfolio thereby managing risk and swiftly learn to unlearn and adapt based its experiences.
But does it really work? The model has been backtested over the last eight years data and it suggests that the model has a potential to outperform SNB BSC 200 index reasonable having said that under certain circumstances such as unforeseen market events, political instability, sudden policy changes, etc the model may underperform the benchmark index so if efficient investing drive. Then TATA Quant fund is drafted drunk computed left just for you invest today
NFO opens on 3rd January 2020 and NFO closes of 70 January 2020.
For more details call on 022-62827777.
SMS TMF to 57575 or contact your financial advisor or
Visit: www.tatamutualfunds.com
Investors understand that their principal will be at high risk.
Mutual fund investments are subject to market risks read all scheme related documents carefully.
About Nivesh.com:
Nivesh.com is an award-winning digital-first platform that enables investors to grow their investments with state-of-the-art technology. We also help investors to diversify their portfolio into different financial products like Mutual funds, Fixed deposits, P2P lending, PMS, AIF, powered by an expert-driven recommendation engine.
Nivesh.com was founded by Anurag Garg, a veteran in the financial services and mutual funds space, and Sridhar Srinivasan, an IIT-IIM technologist. Major investors include former Google India Managing Director - Rajan Anandan and former Infosys Global Sales Head - Basab Pradhan.
Nivesh.com has won multiple recognitions: Startup Superhero Hunt 2018 organized by Entrepreneur India, CIO Review ’10 Most Promising Fintech Startups 2019, Finext Award – ‘Excellence in Finance – Companies’ in Singapore.
Our platform has enabled more than 1,00,000 mutual fund transactions on the platform till date for clients across 400+ cities.
So what are you waiting for? Start your investments today!
Click the link below to download our mobile app & start your investment in a few steps:
http://bit.ly/2HSk1Wh
Join us on these social media platforms:
Facebook: / niveshapp
Twitter: https://twitter.com/
LinkedIn: / company
Instagram: https://www.instagram.com/nivesh.com_...
Copyright Use Disclaimer -
This video is for educational purpose only. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favour of fair use.
In case you feel your rights are violated, kindly email me at [email protected] and I will be quite eager to take down my video.