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High Probability ETF Trading:
7 Professional Strategies To Improve Your ETF Trading
by Larry Connors (Author), Cesar Alvarez (Author), Connors Research LLC (Author)
***Rated one of the Top 10 Investing & Trading Books of 2009 by SFO Magazine***
Are you worried about the risks associated with the stock market? Are you tired of seeing your returns diminish month after month, quarter after quarter?
Are you looking to potentially increase your trading profits AND reduce your risk level? How do you do this? With ETFs.
The First Quantified Book on Trading ETFs
TradingMarkets is excited to announce the launch of High Probability ETF Trading. Written by Larry Connors and Cesar Alvarez, this book is designed to give you the trading edge you need for success. The strategies have been tested back as far as 1993, all of which have performed with a high accuracy, some up to 90%. While there are many ways to trade ETFs, applying these strategies can increase your trading success.
3 Reasons Why You Should Be Trading ETFs
1. ETFs Are Safer Than Stocks - There is less single stock corporate risk as ETFs are a basket of underlying securities. With multiple securities, you aren t subject to the wide array of risk including corporate scandals, after market earning reports, and other factors that affect individual stocks.
2. Trade ETFs On Both The Long And Short Side - This enables the opportunity to profit in both rising and declining markets.
3. Trade ETFs With or Without Leverage - Many traders like the idea of getting added leverage in their trading and the newly released leveraged ETFs have seen tremendous volume growth as active traders have gravitated to them.
What You Will Learn From Reading High Probability ETF Trading.
In this book, you will learn 7 ETF strategies that have been tested on a universe of 20 of the more liquid ETFs including the SPYs and QQQQs. Each strategy was tested since the inception of the trading of each ETF.
How Well Have the Strategies Performed?
The strategies you will learn resulted in over 80% winning trades since October 2008 in the Larry Connors' Daily Battle Plan.
In fact, from October 2008 to February 2010, these strategies have resulted in following results in the model portfolio:
60 ETF Set-Ups
49 Winning Trades
How Do the Strategies Work?
You will identify the signals at the close of the day. Then, you simply place your orders and exit when the signal occurs, usually 3 to 7 trading days later. That's it!
Are the Strategies Difficult to Learn?
No! In fact all have only a few rules and all the strategies can be learned in an evening. You'll be able to apply the strategies to the next trading day.
Do You Have Strategies for Shorting ETFs?
Yes. Every strategy is designed to be traded both on the long side (especially for bull markets) and the short side (especially for bear markets).
About the Author
Larry Connors CEO & Founder, TradingMarkets
Mr. Connors has over 27 years experience working in the financial markets industry. He started hiscareer in 1982 at Merrill Lynch and later moved on to become a Vice President with Donaldson, Lufkin, Jenrette. Mr. Connors has authored top-selling books on market strategies and volatility trading, including How Markets Really Work, and Street Smarts (with Linda Raschke). Street Smarts was selected by Technical Analysis of Stocks and Commodities magazine as one of The Classics for trading books written in the past century. His latest book, Short Term Trading Strategies That Work, was released in November 2008 and is already in its second printing.
Cesar Alvarez, Director of Research, Connors Research
Cesar Alvarez is Director of Research for Connors Research LLC. Previously Mr. Alvarez was a senior designer of Excel, helping Microsoft further create and build-out Excel. For the past 8 years Cesar has been a professional market researcher. Mr. Alvarez has been at the forefront of stock market research, having developed a number of successful trading systems now used by numerous investors and fund managers in the United States and internationally. Cesar attended the University of California, Berkeley where he received his Bachelors of Science in Electrical Engineering and Computer Science in 1989 and his Masters of Science in Computer Science in 1990.