Investing in STOCKS vs Money market funds through That is certainly best for you? | P R Sundar

Investing in STOCKS vs MUTUAL FUNDS - Which is better for YOU? | P R Sundar

Investing in STOCKS or MUTUAL FUNDS – Which is better for you? Who should invest in Shares & who should invest in Mutual Fudns? Explained in detail by market expert P R Sundar.
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P R Sundar regularly conducts 1-Day Workshops in Chennai, Mumbai, Singapore, Bangalore, and other major cities. Currently on halt due to social distancing measures.

There is an online workshop going on. For more details, watch this –

For Registration: Go to the description of the above video.
Topics covered in this video:

– Definition of Mutual Funds
– Advantages of investing in Mutual Funds
– Advantages of investing in Equity Market (Shares/Stocks)
– Which is best for providing as collateral for trading?
– Haircut
– Equity & Debt Mutual Funds
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►Background Music Credits:
Beat made by Chuki Beats
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Which is better investing directly in the stock market or putting it in mutual funds?

Which is safer? Which will give you more gains? Which is the better choice?

I hope this video helps you gain the conviction on where you should invest.

#StockSmarts #StockInvestingMadeEasy #Malaysia

For those who were asking about our next events, here are our Stock Smarts Schedules:

Manila – March 3, 4, 17, 18, 24
Cebu – April 7 & 8
Seoul, South Korea – April 22
Davao – April 28 – 29
Singapore – May 2 – 6
Melbourne, Australia – June 9 – 11
Dubai, UAE – November 16 – 19

Stay tuned for schedules in Doha, Qatar, HongKong, Germany, Canada and Oman

#StockSmartsManila #StockInvestingMadeEasy

This is a raw and directly uploaded video from my FB page and was not edited at all.

I hope this inspires you to invest and encourages more people to invest further.

If you want to invest in stocks:

To attend our seminars:

To grab a copy of the books:
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The way to Job & Invest in Trade | Jawad Hafeez (Piece through one(1))

In this video, Jawad Hafeez talking on the topic “How to Trade & Invest in Stock Exchange“. He is sharing his experience, knowledge and wisdom that will be helpful for all of those who want to know about his related field. Learning to invest can seem intimidating, but it doesn’t have to be. By following some simple rules, you can reduce the chance of making mistakes and get the best results possible. As you get started with your investing, here are some tips that make stock trading for beginners a lot easier to understand.

Team Member: Waqas Nasir

#StockExchange #Stock #JawadHafeez

If you are thinking of investing in Pakistan Stock Exchange, you would already have idea, that the performance of a Company’s stock in Pakistan Stock Exchange or any stock market for that matter, is dependent on dozens of factors. So it can’t be told that which specific company’s stock is best, however, we can identify the best stocks by going through multiple steps involving reviewing the different stock’s graphs for historical performance. Also comparing that with historical performance graph of overall stock market and than finally also reading the annual and quarterly financial reports.
This video is specifically compiled to guide you through the process of finding the best stocks to invest in Pakistan Stock Exchange for maximum earnings or return on investment. This includes multiple screen capture parts as well as discussion to let you better understand the part of choosing the best stocks to invest in Pakistan Stock Exchange. Video also talks about the risks of investment as well as which things to consider, so that you do not loose your investment.

#PakistanStockExchange #InvestmentPakistan #Pakistan #EarnMoneyPakistan #businessPakistan

Time frame Number In preparation Belief Feature 1(one) through Datamites Data Technology Jobs

Looking for #DataScience #Projects?
Your can work on above project ‚Time Series Forecasting Theory Part 1‘
Trainer: Mr. Ashok Kumar –

Datamites is one of the leading institutes for Data Science courses. You can learn Data Science with Machine Learning, Statistics, Python, Tableau etc,..

You can also sing-up for AI (Artificial Intelligence) training and IOT training courses,.

For Data Science Course Details please visit:



For Machine Learning with Python courses visit;



#MachineLearning #Tutorials
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Marios Michailidis & Mathias Muller, Aqua.aje that in fact Time frame Group by having Water Driverless Ojai through Aqua World New york

This video was recorded in San Francisco on February 5th, 2019.

Slides from the session can be viewed here:

Driverless AI is’s latest flagship product for automatic machine learning. It fully automates some of the most challenging and productive tasks in applied data science such as feature engineering, model tuning, model ensembling and model deployment. Driverless AI turns Kaggle-winning grandmaster recipes into production-ready code, and is specifically designed to avoid common mistakes such as under- or overfitting, data leakage or improper model validation, some of the hardest challenges in data science. Avoiding these pitfalls alone can save weeks or more for each model, and is necessary to achieve high modeling accuracy.

Driverless AI is now equipped with time-series functionality. Time series helps forecast sales, predict industrial machine failure and more. With the time series capability in Driverless AI, directly addresses some of the most pressing concerns of organizations across industries for use cases such as transactional data in capital markets, in retail to track in-store and online sales, and in manufacturing with sensor data to improve supply chain or predictive maintenance.

Bio: Marios Michailidis is a Competitive Data Scientist at He holds a Bsc in accounting Finance from the University of Macedonia in Greece, an Msc in Risk Management from the University of Southampton and a PhD in machine learning at from UCL . He has worked in both marketing and credit sectors in the UK Market and has led many analytics’ projects with various themes including: acquisition, retention, recommenders, fraud detection, portfolio optimization and more. He is the creator of KazAnova, a freeware GUI for credit scoring and data mining 100% made in Java as well as is the creator of StackNet Meta-Modelling Framework. In his spare time he loves competing on data science challenges and was ranked 1st out of 500,000 members in the popular data competition platform. He currently ranks 3rd.

Bio: A Kaggle Grandmaster and a Data Scientist at, Mathias Müller holds an AI and ML focused diploma (eq. M.Sc.) in computer science from Humboldt University in Berlin. During his studies, he keenly worked on computer vision in the context of bio-inspired visual navigation of autonomous flying quadrocopters. Prior to, he as a machine learning engineer for FSD Fahrzeugsystemdaten GmbH in the automotive sector. His stint with Kaggle was a chance encounter as he stumbled upon the data competition platform while looking for a more ML-focused platform as compared to TopCoder. This is where he entered his first predictive modeling competition and climbed up the ladder to be a Grandmaster. He is an active contributor to XGBoost and is working on Driverless AI with

In the first half of this video, Jo-Fai will share his joyful (yet sometimes very painful) Kaggle experience since joining the data mining competition platform. Coming from a rather traditional engineering background, data science was once like a complete myth to him. Joe will explain why participating in Kaggle is one of the most effective ways to kick-start a data science career. He will also explain how he used H2O for two Kaggle competitions: Rossmann Store Sales (2015) and Santander Product Recommendation (2016).

View slides here:


Jo-fai (or Joe) Chow is a data scientist at Before joining H2O, he was in the business intelligence team at Virgin Media in UK where he developed data products to enable quick and smart business decisions. He also worked remotely for Domino Data Lab in US as a data science evangelist promoting products via blogging and giving talks at meetups. Joe has a background in water engineering. Before his data science journey, he was an EngD research engineer at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimization. Prior to that, he was an asset management consultant specialized in data mining and constrained optimization for the utilities sector in UK and abroad. He also holds a MSc in Environmental Management and a BEng in Civil Engineering.

Abhishek’s Talk

In the second part of this talk, Abhishek will present his research in applying deep learning for time series prediction. He is focused on applying these new methods in the field of astronomy to light curves.

View slides here:


Abhishek Malali is a Master’s of Engineering student at Harvard University specializing in Computational Sciences. He focuses on applying machine learning research to time series applications. Currently he is working on time series prediction on irregular time series using deep learning architectures.

Ways to make Millions of away from the Stock Market through GTA (five)5 Legend Type(And fast as and easier!)

Just watched my video on how to make up to 2.1 billion? Do you have so much money that you don’t know where to start spending? While that‘s fine and dandy, I would much rather continue to get richer and richer!!! What can I say? I eat greed for breakfast, lunch, and dinner! If you are interested in turning your fortunes into wealth that will last centuries! Check out this video, I hope you enjoy!

Thank you all for watching!!!
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Top pet godina Stocks to Invest In 2020 through Best 5G Shares of stock from Emerging Opportunities More

In this video we walk through the basics of 5G and we try to identify 5G companies that have some sort of Moat in their home markets that could lead to greater profits as the 5G network Expands.

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Investing Basics Playlist

Investing Books I like:
The Intelligent Investor –
Common Stocks & Uncommon Profits –
Understanding Options –
Little Book of Common Sense Investing –
How to Value Exchange-Traded Funds –
A Great Book on Building Wealth –
Dale Carnegie –
Effective Speaking –
Audible Membership I Use (Audio Books):

Equipment I Use:
Microphone –
Video Editing Software –
Thumbnail Editing Software –
Laptop –

DISCLAIMER: I am not a financial advisor. These videos are for educational purposes only. Investing of any kind involves risk. Your investments are solely your responsibility and we do not provide personalized investment advice. It is crucial that you conduct your own research. I am merely sharing my opinion with no guarantee of gains or losses on investments. Please consult your financial or tax professional prior to making an investment.

#LearnToInvest #StocksToWatch #StockMarket
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Facts Technology through Stage Simply by how to Valuable time Assortment Predicting

For downloadable versions of these lectures, please go to the following link:

This lecture provides an overview of Time Series forecasting techniques and the process of creating effective forecasts. We will go through some of the popular statistical methods including time series decomposition, exponential smoothing, Holt-Winters, ARIMA, and GLM Models. These topics will be discussed in detail and we will go through the calibration and diagnostics effective time series models on a number of diverse datasets.
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This video shows the usage and performance for the genetic algo. S&P500 Index daily chart with RSI and cycles combination. GA evolves possible trading systems.