181 through Multivariate moment in time series forecasting taking advantage of LSTM

For a dataset just search online for ‚yahoo finance GE‘ or any other stock of your interest. Then select history and download csv for the dates you are interested.

Code generated in the video can be downloaded from here:

Succeed at Numbers Digging through Time frame Series In preparation

In this video, Billy Decker of StatSlice Systems shows you how to start data mining in 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will create a forecasting model that will predict the trend of bikes sales in different regions.

For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at:

*This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
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Trading Essentials: Payment Carries through Best 5 Reasons why you should Own

High dividend-paying stocks with solid fundamentals are one of the safest and fastest ways to generate a solid return in the stock market.

Here are the top five reasons to own dividend stocks:

1. Dividends cushion the stock price
Yield support of the dividend which is the stock’s annual dividend divided by its share price creates a cushion against selling pressure as the stock price trends lower.
A lower stock price causes a higher yield thereby encouraging value-oriented investors to step in and offset the selling.
During a general downturn of the economy or a major stock market correction, those companies offering safe dividends find themselves better protected relative to the whole market.

2. Dividends protect you from short sellers
Short selling is the selling of a stock that the seller has borrowed from a broker in anticipation that the stock price will go lower. If the price drops, the short seller can buy back the stock at the lower price and make a profit on the difference.
A high dividend protects you from short-sellers, who are more reluctant to borrow money from a broker knowing that they are responsible for paying the dividend to the investor actually owning the stock. This scenario cuts into their potential profits.

3. Dividends generate quarterly income
The income you can receive from a decent yield can be significant, especially for retirees. A big advantage is that the taxes paid on dividend income are lower than those paid for earned income.

4. You can benefit from accidental high yielders
After a market crash some companies offering small, safe dividends end up with high dividend yields because the stock price has dropped dramatically.
Look for those accidental high yielders that provide more than 4 percent.

5. Dividends can grow your money faster
Dividend-yielding stocks make most sense in your IRA or 401(k) retirement portfolio where you can re-invest your payouts and let them compound tax-free for decades. Not only do you benefit from capital appreciation of a „best-of-breed“ stock over time, but you also typically receive a quarterly income from the dividend.

For the active investor looking for a reasonable level of safety of principal with the upside potential to earn a little more from your investment, then exploring the world of dividend-producing stocks is worth the little effort involved.

I encourage you to get started today in finding those great stocks that have the potential to produce consistently high returns for you.

Disclaimer: Any information shared on Stock Investing Simplified does not constitute financial advice. Stock Investing Simplified is not a registered investment advisor or broker-dealer and does not purport to tell or suggest which securities readers or customers should buy or sell for themselves. The Website is intended to provide general information only and does not attempt to give you advice that relates to your specific circumstances. You are advised to discuss your specific requirements with an independent financial adviser.
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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.
► Related Videos:

HOW I MADE ₹45 LAKHS IN 6 DAYS by Trading – https://youtu.be/Ixzo2b1YRJ8
What is VIX / Market Prediction Using India VIX – https://youtu.be/SRf1FGf-qKs
Use FD as Collateral for Trading – https://youtu.be/psQR4EIAQ1Y
Infosys Earnings Trade Strategy – https://youtu.be/EmhBgTnpQA8
Option Buying & Selling – Advantages & Disadvantages – https://youtu.be/wwZ157RxD4E
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 – https://youtu.be/EEIAt2vxdNA

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
SHARE THIS VIDEO with fellow investors and traders.
Share on Facebook, Twitter, WhatsApp.
SUBSCRIBE and turn on the BELL ICON for more videos.
►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: www.marvingermo.com

To attend our seminars: www.marvingermo.com/stock-smarts-seminar-schedules/

To grab a copy of the books: www.marvingermo.com/book-orders
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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 – https://in.linkedin.com/in/ashokka

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:
Pune: https://datamites.com/data-science-course-training-pune/

Bangalore: https://datamites.com/data-science-course-training-bangalore/

Hyderabad: https://datamites.com/data-science-course-training-hyderabad/

For Machine Learning with Python courses visit;
Bangalore: https://datamites.com/machine-learning-course-training-bangalore/

Pune: https://datamites.com/machine-learning-course-training-pune/

Hyderabad: https://datamites.com/machine-learning-course-training-hyderabad/

#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: https://www.slideshare.net/0xdata/marios-michailidis-mathias-muller-h2oai-time-series-with-h2o-driverless-ai-h2o-world-san-francisco

Driverless AI is H2O.ai’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, H2O.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 H2O.ai. 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 Kaggle.com data competition platform. He currently ranks 3rd.

Bio: A Kaggle Grandmaster and a Data Scientist at H2O.ai, 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 H2O.ai, 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 H2O.ai.

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: http://bit.ly/2lsrD3F


Jo-fai (or Joe) Chow is a data scientist at H2O.ai. 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: http://bit.ly/2mLX4qF


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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