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Elliottwave – How to Trade the Highest Probability Opportunities – Price Bars and Chart Patterns

Original price was: $79.00.Current price is: $14.97.

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Description

Author:Elliottwave

Elliott Wave International is the largest independent technical analysis firm in the world. We cover every major financial index in the world, around the clock, and many of our publications have won top awards in their categories.

How to Trade the Highest Probability Opportunities – Price Bars and Chart Patterns

Sale Page :elliottwave.com

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This course teaches you how to spot opportunities, minimize risks and maximize potential rewards.

  • Format: On-Demand Course – 2 hours 3 minutes | eBook – 45 pages
  • Instructor: Jeffrey Kennedy
  • Level: Beginner

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Finding the Hamlet is only half the goal, however. After he teaches you how to spot the hidden message of a price chart, Jeffrey shows you how to take action to minimize your risk while maximizing your potential reward.

What makes Jeffrey unique is the ability to combine more than 20 years of analytical and trading experience into compact, easy to understand lessons — and relate how you can use that knowledge in your own trading. As one student puts it: “Jeffrey is simply the best teacher of practical Elliott Wave Theory.”

Here’s what you’ll learn:

  • How to identify and use support and resistance levels.
  • Why a “price island” is an exciting tip-off for future price action.
  • What multi-bar patterns tell you, and how they influence the trend.
  • What a “second attempt” is and why it demands your immediate attention.
  • Why a failed new high can contain more opportunity than a successful one.
  • The trading “sweet spot” setup Jeffrey calls “The Zone.”

Bonus: Order now and get Basics of the Wave Principle FREE ($79 value)This 90-minute online video covers all the basics of the Elliott Wave Principle — from its rules and guidelines, to wave personalities, to wave structures, to Fibonacci relationships. By the time you’re done, you’ll know how to spot the basic formations in price data and what to expect next.