High Probability ETF Trading: 7 Professional Strategies To Improve Your ETF Trading By Larry Connors – Instant Download!
High Probability ETF Trading by Larry Connors & Cesar Alvarez
Concerned about stock market risk? Frustrated by shrinking returns month after month?
ETFs can offer a way to potentially boost your profits while reducing your risk exposure.
The First Quantified Guide to Trading ETFs
TradingMarkets is proud to introduce High Probability ETF Trading. Authored by Larry Connors and Cesar Alvarez, this book equips traders with a data-driven edge. The strategies inside have been back-tested as far back as 1993, with some reaching accuracy rates of up to 90%. While ETFs can be traded in many ways, applying these tested rules can significantly increase your odds of success.
Why Focus on ETFs?
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Lower Risk than Individual Stocks – ETFs represent baskets of securities, which reduces exposure to single-stock corporate events such as scandals or surprise earnings announcements.
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Profit in Rising or Falling Markets – The book’s strategies are designed for both the long and the short side of ETFs.
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Flexible Use of Leverage – Traders can choose standard ETFs or take advantage of the growing lineup of leveraged ETFs that have attracted strong volume from active traders.
What You’ll Learn
Inside High Probability ETF Trading you’ll discover seven fully tested ETF strategies applied to a universe of 20 of the most liquid ETFs, including SPY and QQQQ. Each has been tested from the inception of trading for those ETFs.
From October 2008 onward, in Larry Connors’ Daily Battle Plan model portfolio, these methods produced:
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102 ETF set-ups
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82 winning trades
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An 80% success rate
How It Works
Signals are identified at the market close. Orders are then placed, with exits typically occurring three to seven trading days later.
Ease of Learning
Each strategy has only a few rules and can be learned in an evening, ready to apply the next trading day.
Shorting ETFs Included
All strategies are designed for both long trades in bull markets and short trades in bear markets.

