Moving Averages 101
An introduction to Moving Averages
This 11-part video course is filled with insight, tips, tricks, and examples of moving average trading systems. This professional video series that will teach you how to use moving averages to be more profitable with less stress! Are you ready to be a better trader? Let's get started!
After a lifelong fascination with financial markets, Steve Burns started investing in 1993, and trading his own accounts in 1995. It was love at first trade. A natural teacher with a unique ability to cut through the bull and make complex ideas simple, Steve took to blogging and social media by founding New Trader U in 2011.
Since then, New Trader U has attracted hundreds of thousands of visits a month, becoming the go-to resource for people wanting to build a strong, trading foundation. New Trader U offers an extensive blog resource with more than 3,000 original articles (Steve posts daily).
Asked daily if he could mentor, Steve realized that there weren’t enough hours in the day to give everyone the attention they deserved, so the eCourses and books were developed to help traders survive and thrive in the markets.
StartMoving Averages 101 - Introduction (0:42)
StartMoving Averages 101 - What is a moving average? (3:45)
StartMoving Averages 101 - How to use moving averages (5:38)
StartMoving Averages 101 - 5-Day EMA (short term trends) (4:41)
StartMoving Averages 101 - 10-Day EMA (short term trends) (3:25)
StartMoving Averages 101 - 21-Day EMA (pullback support) (2:31)
StartMoving Averages 101 - 50-Day SMA (uptrend defense line) (3:09)
StartMoving Averages 101 - 100-Day SMA (oversold) (4:02)
StartMoving Averages 101 - 200-Day SMA (bull's last stand) (3:34)
StartMoving Averages 101 - Moving average crossover systems (8:37)
StartMoving Averages 101 - Combining with other indicators (10:05)
StartMoving Averages 101 - Real trade examples (7:32)
Get started now!
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Backtested results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
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