Time-Series Study along with R | 2 or more. Projecting

Provides steps for carrying out time-series analysis with R and covers forecasting stage.
Previous video – time-series decomposition: https://goo.gl/hRJmU1
Next video – time-series clustering: https://goo.gl/5gMryj
Time-Series videos: https://goo.gl/FLztxt
Machine Learning videos: https://goo.gl/WHHqWP
Becoming Data Scientist: https://goo.gl/JWyyQc
Introductory R Videos: https://goo.gl/NZ55SJ
Deep Learning with TensorFlow: https://goo.gl/5VtSuC
Image Analysis & Classification: https://goo.gl/Md3fMi
Text mining: https://goo.gl/7FJGmd
Data Visualization: https://goo.gl/Q7Q2A8
Playlist: https://goo.gl/iwbhnE

R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
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What is the difference between Autoregressive (AR) and Moving Average (MA) models? Explanation Video: https://www.youtube.com/watch?v=2kmBRH0caBA

Ujui for more intelligent day trading choices | Xue Li | TEDxVenlo

What if there is a solution that can reduce the risk of stock trading?
Where technology is helping more industries make better predictions
and improves on a daily basis? And what if this solution makes it possible to stop working long before you turn 67? No, it’s not a dream but a reality. Xue Li is your guide, applying Artificial Intelligence in the
domain of financial trading.

An algorithm that helps people make better decisions and eliminate the risk. All by artificial intelligence. “I developed a computer program that can make the decision for you to buy or sell stocks. No, it’s not dangerous. You don’t have to be afraid of it. ”

And the best thing? It’s not only for companies. You can learn it yourself. Wonder how? Xue Li guides you in her TEDxVenlo talk. Xue Li, born in Jiaozuo (China) now living in the Netherlands for almost 15 years, was always fascinated with business and technology. After studying Electronic Engineering and Supply Chain Management she rolled into the consultancy world at EY & Capgemini helping her customers with business intelligence. With a track record of more than 10 years in management consulting,
she engaged in strategic transformation programs across the globe, focusing on high-tech, consumer goods, and retail sectors. With the Chinese culture deep in her roots and more than 15 years working in Europe, she started a next career phase in bridging and enhancing the business collaboration between China and Europe in emerging domains i.e. semicon, digitalization and Artificial Intelligence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
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More challenging H1B Credit card Festivals To Affect IT Stocks and shares | CNBC Awaaz

Trump’s administration has made H1B visa approval a tad bit tougher. This is likely to have some kind of impact on IT stocks.

CNBC Awaaz is India’s number one business channel and an undisputed leader in business news and information for the last ten years. Our channel aims to educate, inform and inspire consumers to go beyond limitations, with practical tips on personal finance, investing, technology, consumer goods and capital markets. Policymakers and business owners alike have grown to trust CNBC Awaaz as the most reliable source with its eye on India’s business climate. Our programming gives consumers a platform to make decisions with confidence.

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Coding LSTM which have Keras and TensorFlow (12.2 or more)

Long Short Term Memory (LSTM) and Gated Recurrent Units (GRU) are two layer types commonly used to build recurrent neural networks in Keras. This video introduces these two network types as a foundation towards Natural Language Processing (NLP) and time series prediction.

Code for This Video:
https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_10_2_lstm.ipynb
Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/

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https://github.com/jeffheaton

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In this lesson, you will learn a multi-step time series prediction using RNN LSTM for household power consumption prediction. We will predict the power consumption of the coming week based on the power consumption of past weeks.

Download the working file: https://github.com/laxmimerit/Multi-Step-Time-Series-Prediction-using-RNN-LSTM-for-household-power-consumption

Learn Complete Data Science with these 5 video series.
1. Python for Beginners

2. Machine Learning for Beginners

3. Feature Selection in Machine Learning

4. Deep Learning with TensorFlow 2.0 and Keras

5. Natural Language Processing (NLP) Tutorials
https://www.youtube.com/watch?v=eqG34mp-R3A&list=PLc2rvfiptPSQgsORc7iuv7UxhbRJox-pW

The working code is given in the video description of each video. You can download the Jupyter notebook from GitHub.

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### Make Your Own Automated Email Marketing Software in Python

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.

★☆★ Subscribe: ★☆★
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Investing Basics Playlist
https://goo.gl/ky7CJq

Investing Books I like:
The Intelligent Investor – https://amzn.to/2PVhfEL
Common Stocks & Uncommon Profits – https://amzn.to/2DAV8h9
Understanding Options – https://amzn.to/2T9gFSp
Little Book of Common Sense Investing – https://amzn.to/2DfFGG2
How to Value Exchange-Traded Funds – https://amzn.to/2PWSkRg
A Great Book on Building Wealth – https://amzn.to/2T8AKZ1
Dale Carnegie – https://amzn.to/2DDAk8w
Effective Speaking – https://amzn.to/2DBncAT
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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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Stock In comparison to ETF that Which particular one more suitable?

Stock Vs ETF - Which one is better?

Stock vs ETF: When trading, you must master 3 areas:
1.) What to trade?
2.) When to enter
3.) When to exit

So what should you trade? Individual Stocks or an ETF?
Which one gives you a higher return on your investment?

In this video, we will discuss the pros and cons and make it easier for you to decided whether to trade individual stocks or ETFs.

=======================================================

Markus Heitkoetter
Rockwell Trading Services LLC
401 Congress Ave 1540 Austin, Texas 78701
(512) 337-1885

Rockwell Trading – Day Trading Strategies, Tips and Tricks – Homepage

Known for being able to teach anyone to trade in 60 minutes or less, Markus Heitkotter with Rockwell Trading has taught over 360,000 traders worldwide and has appeared on CBS, FOX, NBC, ABC and more. Markus is on a mission to prove how simple trading really is so that you too can travel the world and live the lifestyle you always dreamed about.

Attend my LIVE training:
http://www.bootcamp.rockwelltrading.com

My Trading Routine:

Home

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In this video, learn about the five biggest mistakes that investors make when buying ETFs, or exchange-traded funds. To learn the basics about ETFs, visit https://www.fidelity.com/learning-center/investment-products/etf/overview.

To get started investing with ETFs, visit https://www.fidelity.com/etfs/overview

To see more videos from Fidelity Investments, subscribe to: https://www.youtube.com/fidelityinvestments

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LinkedIn: https://www.linkedin.com/company/fidelity-investments

———————————————————————————————

Let’s talk about the five biggest mistakes investors can make when buying exchange-traded funds. ETFs can be good tools for investors – when used appropriately. But with any investment, there are always things to watch out for.

Number 1: Buying the Hot New Thing
More than 100 new ETF products launch each year, many of them chasing the latest hot trend. Cloud computing, driverless cars, 3-D printing … you name it, there’s an ETF for that.

Buying into the latest hot theme might make you big returns, but take care: These product launches may come after there has been a run up in the market. Buying at the top can be painful on the way down.

Number 2: Buying Something You Don’t Understand
The only thing worse than chasing the hottest trend is buying something you don’t understand. ETFs have taken institutional strategies and made them push-button-easy for everyday investors to access. Want access to commodity futures? There’s an ETF for that. 300% leverage? 200% short? Interest-rate carry plays? Yes to all. But just because you can buy something easily doesn’t mean you should. All of these funds may be good tools, but only if you know how to use them correctly.

Number 3: Thinking All ETFs Are Created Equal
Consider China. At the start of 2014, there were more than a dozen broad-based China ETFs. For example, had you chosen PGJ, the PowerShares Golden Dragon China ETF, at the start of the year, you would have lost more than 7% of your money. Had you instead chosen ASHR, the Deutsche Xtrackers Harvest CSI 300 China A-Shares ETF, you would have earned a 51% return. Both are “China ETFs.” Both can provide big, diversified portfolios. But ASHR has significant exposure to Chinese Ashares—largely consumer-focused stocks listed and traded on the domestic Chinese market— which performed spectacularly well in 2014. Don’t assume all ETFs are created equal. Just because two ETFs cover the same market doesn’t mean they provide the same exposure or returns.

There’s no guarantee which fund will perform better in the future. But if you wanted to invest last year in the growth of the Chinese consumer and the domestic investor base there, a little bit of research would have gone a long way.

Number 4: Trading…Just Because You Can
Trading is central to ETFs. It’s right there in the name. But just because you can trade an ETF intraday doesn’t mean you should. Emotions are often an investor’s worst enemy. You zig when you should zag; you sell at the bottom and buy at the top. We all do sometimes. The trouble is ETFs make that even easier than traditional mutual funds. ETFs’ intraday liquidity can be great when you need to get into or out of the market quickly. But those situations are rare.

Number 5: Only Using Market Orders
When you do invest, consider using a limit order versus a market order. Market orders are instructions to buy or sell securities at the best possible price right now. That can work well for the most liquid ETFs, but as you move beyond the top dozen ETFs, you can find yourself getting trades executed at prices you don’t really want. Using a limit order means you agree to buy an ETF at a certain price or below, and sell it at a certain price or above. A limit order puts the control back in your hands and can help you set the price on your terms. Learn from these common mistakes to help avoid making them yourself.

Fidelity Brokerage Services LLC, Member NYSE, SIPC, 900 Salem Street, Smithfield, Rhode Island, 02917

723254.2.0
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Reside Forex trading that in fact 300 dollars in 2 or more Minutes‏

Live Day Trading - 0 in 2 Minutes‏

Live Day Trading – 0 in 2 Minutes‏

Free Guide – The 5 Tools I Use To Find Stocks To Trade: http://claytrader.com/lp/Free-Guide-Trading-Tools/?utm_source=social&utm_medium=youtube&utm_campaign=resource%20guide

This mornings trading got off to a very fast start. It was just one of those mornings where many things were in my favor, and there was some luck involved too on the entry point. The key learning example here is why you need to let winning trades become winning trades.

The Stock Trading Reality Podcast – http://claytrader.com/podcast/

Join My Private Trading Team – http://claytrader.com/innercircle/
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ClayTrader.com and its employees are not a Registered Investment Advisor, Broker Dealer or a member of any association for other research providers in any jurisdiction whatsoever and we are not qualified to give financial advice. Investing/trading in securities is highly speculative and carries an extremely high degree of risk.

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Why can I make investments earnings? | Maybe stocks and shares ISAs | Youthful Earnings Sky. 2 or more

I am not a qualified financial advisor and none of this content constitutes financial advice. It’s just anecdotal evidence of my experiences as a young person with a keen interest in personal finance management!

I’m often asked how investing plays a part in the way I manage my money – this video aims to show you what I do in my limited investing capacity, and what investing really means!

How do I invest my money? @ 2:42
What am I investing my money in? @ 3:50
How much money will I make? @ 6:57
What sort of account do I need? @ 7:30

Investment ISAs PAY ATTENTION TO THE PLATFORM AND TRADING FEES: https://www.money.co.uk/savings-accounts/investment-isas.htm

The Intelligent Investor – Benjamin Graham: http://amzn.eu/hqIlBHb

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If you fancy investing in a Stocks and Shares ISA, this is the video for you.

We’ll tell you about the nuts and bolts of opening an ISA, and we’ll also give you some investment ideas to consider.

Don’t forget a Stocks and Shares ISA protects you from paying Capital Gains Tax and you don’t even have to tell the tax man you have the account.

Click here to subscribe to MoneyWeek videos: http://tinyurl.com/zg57szy Go to: http://www.moneyweek.com/youtube now and you’ll get a whole host of other videos.

seven 2 or more Simulating Multivariate Valuable time Series in R

4 2 Simulating Multivariate Time Series in R

http://quantedu.com/wp-content/uploads/2014/04/Time%20Series/4_2%20Simulate_Multivariate
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Multivariate time series models are different from that of Univariate Time Series models in a way that it also takes structural forms that is it includes lags of different time series variable apart from the lags of it’s own.

For Study Packs Visit : http://analyticuniversity.com/
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