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Trading Seasonal Price Patterns in Stocks, Futures, & Forex

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 							 Trading Seasonal Price Patterns in Stocks, Futures, & Forex 
  
  
  
  
  
 
Details:
  
  Trading Seasonal Price Patterns in
Stocks, Futures, & Forex! 
  MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 740 MB
  Genre: eLearning | Language: English
  
  
  Annual 13% return from the University of Chicago Booth
School of Business discovers seasonality in stocks & commodities.
  
  The most respected studies by Wall
Street come from top business schools using such data as that from the Center for Research in Security Prices (CRSP)
with accounting data from Compustat files from Standard & Poor’s. Your problem is that this data is extremely
expensive for finance industry outsiders of Wall Street. 
  
  Graciously academics from these top schools
make their research public to Main Street.
  
  That allows you to gain an unfair advantage over the retail
investing public. But knowing what is in these studies is not enough.
  
  You need to know how to convert
this information into practice.
  
  This course offers a low-cost solution to creating your virtual investing
and trading laboratory for seasonal, value, momentum, size, and dividend signals. The tools and knowledge you will learn
inside allow you to distill 3,700 stock to the best few that are most likely to kick out double digit expected gains at
the press of a button.
  
  I am Dr. Scott Brown. I hold a Ph.D. in finance from the University of South
Carolina. I am an associate professor of finance at the AACSB accredited Graduate School of Business of the University
of Puerto Rico.
  
  Discover how to capture 13% expected returns on seasonality alone. Two major money
managers used a little known list of value stocks that generated actual returns of 20% – Benjamin Graham and
Warren Buffett. 
  
  This course shows you how to find value stocks the exact same way. This has been shown
by Fama and French (2012) to generate excess abnormal expected returns of 5.4%. 
  
  Sorting on seasonality
and value generates an expected portfolio return of 18.4% on average. Buffett and Graham extracted 20% out of the market
year after year for three decades. 
  
  Then I will show you how to sort on momentum for a 7.4% excess
abnormal return. This can be sorted by size for another 1.2% expected kick.
  
  This yields a strategy with
an expected return of 21.60%. Your actual returns may be higher or lower.
  
  Here’s what my Udemy
students are saying, “Hello Dr. Brown, Thanks - now that I've taken it I realize the majority of my company plan
selections are horrible!! Thank you.”
  
   
  
  PS : If You got an
error while extracting while others are working try diferent directory path in your PC. Somtimes if you got a long
directory path while extracting it will giv you an error. To solve this issue , as an example just paste the tgz file in
C drive and extract (just inside the C drive not with in any other folder). Hope your Understand
   	 

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