The design, though simple, is consistent with the statistical validation that underlies our leveraged ETF PowerRatings system and all members of our PowerRatings family of products
New York, NY (PRWEB) March 2, 2010
TradingMarkets today announces the release of Leveraged ETF PowerRatings, a new proprietary system that rates leveraged ETFs on a 1-10 scale measuring the likelihood of their value making a short term price advancement or retreat.
Leveraged ETF PowerRatings was developed by Larry Connors and Connors Research LLC building on the foundation of the research behind Stock PowerRatings and ETF PowerRatings.
Traders who have been trading popular leveraged ETFs like the Direxion Daily Financial Bear 3x Shares, FAZ and the ProShares UltraPro S&P 500 ETF, UPRO now have a place to go for quantified high probability strategies for trading these popular securities.
"The only thing that has been in greater demand than leveraged ETFs themselves is a quantified professional way to trade them successfully," said David Penn, Editor in Chief at TradingMarkets.com.
The concept behind Leveraged ETF PowerRatings is one of simplicity and effectiveness. A color-coded 1-10 scale is used to give traders a quick and accurate assessment of their selected leveraged ETFs' trading viability. Behind the rating lies a heavily researched algorithm based on backtested data of leveraged ETFs from their inception date through 2009. This data spans over 17,000 trades.
"The design, though simple, is consistent with the statistical validation that underlies our leveraged ETF PowerRatings system and all members of our PowerRatings family of products," said Tom Hughes, President and Chief Operating Officer of The Connors Group.
A PowerRating of 9 or 10 informs a trader that the ETF is in a position to make positive headway within the next swing trade cycle. Conversely a PowerRating of 1 or 2 is an indicator of likely downward price action, suggesting that ETF be avoided or shorted.
Nearly 80% of Leveraged ETFs with a PowerRating of 10 increased in price over the next few trading days when tested from inception through 2009.
For more information go to: TradingMarkets.com or call 1-888-484-8220 ext. 1.
TradingMarkets.com is a stock and ETF fund trading site for independent investors of all levels. TradingMarkets.com supplies active traders with the education and tools they need to make trades based on data - not emotion. TradingMarkets.com delivers content, tools, data, and ETF fund and stock trading systems aligned with proprietary stock trading methodologies.
About Larry Connors
For more than a decade, Larry Connors has been at the forefront of research in the short-term trading of stocks, ETFs, and other trading vehicles. Larry has a lifetime of experience as a professional trader, trading educator, and successful author. Larry's popular trading books, including How Markets Really Work, Short Term Trading Strategies That Work, and his most recent publication, High Probability ETF Trading: Seven Professional Strategies to Improve Your ETF Trading, are valued by many successful traders for their common sense and careful analysis. Thousands more have benefited by subscribing to Larry's commentary service, Larry Connors' Daily Battle Plan which includes simple entry and exit signals for ETFs. Many traders have also benefited from using proprietary ETF and stock trading tools, educational courses, and newsletters available to subscribers at TradingMarkets.com.
About Cesar Alvarez
Cesar Alvarez is Director of Research for Connors Research LLC. Previously Cesar 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. Cesar 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.
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