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The founder of investors.com, William O’Neil wrote the book „How To Make Money In Stocks.“ This book does just what the title says it would, it shows you how to make money in stocks. The book breaks down the “CANSLIM” methodology, which reveals the seven common traits that make a stock successful. CANSLIM stands for:
Current quarterly earnings per share
Annual earnings growth
New products, new management, new growth
Supply and demand
Leader of lagger
This version of „How To Make Money In Stocks“ is even better than the audio version because it helps you visualize the CANSLIM methodology.
Get the book here: https://goo.gl/GGt7v6
Get any FREE audiobook of your choice here: https://goo.gl/pPGC0V
There are tons of books about investing in stocks. So many in fact, that you could waste a decade just going through them.
That’s why it is so important to use your time right. Specific books will give you the knowledge and tools that you need to become an incredible investor.
On the other hand, if you’re learning the wrong things from the wrong books, it can actually be counterproductive and quite costly, in terms of both time and money.
Now, not all of these books will not be about penny stocks specifically, but each of them has certain aspects and concepts which will help you to profit when you’re trading low-priced, speculative shares.
I’m also going to tell you about one book which was not that groundbreaking or incredible, but it was one of my favourite books about penny stocks which I when I got started.
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Stocks closed out Friday’s session sharply lower, as the weight of soaring U.S. coronavirus cases in at least half of the country became too much for optimistic investors to ignore.
Texas and Florida — which ended their lockdowns early — have now become epicenters of America’s outbreak. Both states on Friday took additional measures to reverse steps toward normalizing public life, by closing bars and limiting restaurant capacity following surges in coronavirus cases.
Despite optimism that’s allowed markets to resume a new bull run, the news rattled traders — sending each of the three major indices down more than 2%. The jump in volatility pushed the S&P 500 to its lowest level in two weeks.
Amid widening fears of a resurgence in COVID-19 infections, “We might have some challenging times ahead,” Sam Stovall, chief investment strategist at CFRA, told Yahoo Finance on Friday. “The COVID concern has not run its course, and we will be contending with it for awhile.”
The Dow underperformed against the S&P 500 and Nasdaq, and Nike (NKE) shares slid after reporting a surprise quarterly loss. Dow components Goldman Sachs (GS) and JPMorgan Chase (JPM) traded lower alongside other big banks, after the Federal Reserve said in its stress test results Thursday after market close that it would restrict dividends and share buybacks on financial companies for the third quarter.
The move is intended to “ensure large banks remain resilient despite the economic uncertainty from the coronavirus event,” according to the Fed.
Meanwhile, further increases in coronavirus cases in some parts of the country stirred up investor jitters, with signs pointing to an increasingly chaotic reopening process. Florida on Friday set a record in new infections, and cases elsewhere in the Sun Belt states continued to climb.
Individual companies have also pushed back reopening dates amid the latest jumps in coronavirus cases. Apple (AAPL) added 14 stores in Florida to its growing list of store re-closures, after announcing earlier this week and late last week it would be re-closing seven stores in the Houston, Texas area and nearly a dozen stores across four states late last week. Disney (DIS) said it was indefinitely delaying its California theme parks’ reopenings past their earlier July 17 target.
For more on this article please click here:
https://finance.yahoo.com/news/stock-market-news-live-june-24-2020-221305993.html Video Rating: / 5
Rachel became involved with investing and trading at 15. Before trading, she was looking for ways to grow her savings and become financially independent at a young age. Her parents were very financially aware and infused that into her life early on. At 15, Rachel began researching how to invest and trade on the Internet. She opened her first joint online trading account with her parents, started with stocks, and 3.5 years later, she is currently trading stocks, futures and options successfully.
Rachel has been working as an entertainer since she was 5-years-old. She has grown up performing and entertaining via music and film, and will continue to do so for the rest of her life. Rachel and her band, No Babies No Bullets have played at different music festivals and venues through the West Coast, including Sundance Film Festival 2015, NAMM, The Viper Room and others. She has also worked on films and television shows with Daniel Craig, Naomi Watts, Patricia Arquette, Daryl Hannah, Michael Chiklis and many more.
Since Rachel was home-schooled for high school and finished early, she began blogging about finance and investing to continue while in-between working on sets and playing music. Her blog is read by people both young and old who want basic answers to their finance questions and want to start investing. Rachel was on CNBC, YahooFinance and Fox Business to discuss Fox on Stocks and trading as well as named one of Time Magazine’s 25 Top Most Influential Teens of 2014.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx Video Rating: / 5
Robert Legenstein, Graz University of Technology
Computational Theories of the Brain
Machine Learning for Physics and the Physics of Learning 2019
Workshop IV: Using Physical Insights for Machine Learning
„Graph neural networks for combinatorial optimization problems“
Soledad Villar – New York University
Abstract: Graph neural networks are natural objects to express functions on graphs with relevant symmetries. In this talk we introduce graph neural networks, motivated by techniques in statistical physics. We explain how they are being used to learn algorithms for combinatorial optimization problems on graphs from data (like clustering, max-cut and quadratic assignment), in supervised and unsupervised manners. We also show a connection between universal approximation of invariant functions and the graph isomorphism problem.
Institute for Pure and Applied Mathematics, UCLA
November 21, 2019
For more information: http://www.ipam.ucla.edu/mlpws4 Video Rating: / 5