How to Trade the Highest Probability Opportunities: Moving Averages
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| Author(s) | |
|---|---|
| Format |
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| Pages |
35 |
| Published Date |
2008 |
In How to Trade the Highest Probability Opportunities: Moving Averages, Analyst Jeffrey Kennedy teaches key applications and uses of the technical analysis tool of Moving Averages. If you’ve ever heard of technical analysis, you’ve probably also come across moving averages. That’s because moving averages are simple (well, sometimes they’re exponential, but never mind that for now) and, more importantly, they work. Like most simple tools, in the hands of a trader who knows how to use them, moving averages can be quite powerful. They help reveal to you two crucial things that every investor or trader wants to know: whether a trend will continue, and when it’s about to change.
Contents:
- Chapter 1 – Defining the Moving Average and Its Components
- Chapter 2 – The Most Popular Moving Averages
- Chapter 3 – Moving Averages and the Wave Principle
- Chapter 4 – How To Trade Using Moving Average Compression
- Chapter 5 – Determining the Trend with Stoplight Trend Analysis
- Chapter 6 – Questions and Answers
How to Trade the Highest Probability Opportunities: Moving Averages By Jeffrey Kennedy pdf
3 reviews for How to Trade the Highest Probability Opportunities: Moving Averages
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Adrianna Wheeler (verified owner) –
This book was made by an expert in moving averages. Some of his techniques are kind of complex but is really easy to understand what he is trying to explain. It is about 30 pages but every page of it is just a piece of gold for any trader. You need to have some basic understanding of moving averages in order to fully understand his examples. It is full of picture charts which makes it really easy to understand and apply on your trading strategy.
Bryant Davenport (verified owner) –
outstanding book… wish it included some sharper methods for exiting trades.. wonderul learning experience
Kenneth Phan (verified owner) –
I thought there’s much more hidden features for moving averages but I found the opposite that’s why I didn’t give best rate of the book , but again the author did a good job.