Brian Shannon: Making The Most Of Moving Averages | Investing With IBD
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- Опубликовано: 10 июн 2024
- Don’t waste time deciding if markets are bullish or bearish, just focus on moving averages. Brian Shannon, alphatrends.net Founder, joins Investor’s Business Daily’s “Investing with IBD” podcast to explain why examining market sentiment doesn’t make money and how to take an analytical approach to swing trading. Learn more about why an accurate moving average matters and how you can make it work for stocks like Rapid7 (RPD), Okta (OKTA), and Palo Alto Networks (PANW).
Open & Market Analysis: 0:00
Investing Lessons: 20:31
Stocks To Watch: 41:15
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This is the content we need more of. Keep the positivity flowing!
Great session! Thank you so much!
Thank you. This was excellent.
Thanks IBD team and Brain.
That analogy with driving the car with lot of gauges to look for.... that hit right to the core..... Very insightful...
Peps, why only 116 likes with 4.1K views? There should be at least 4K likes! 65 min, 30min period is genius. Seriously, do the math. #STUDY
Was using the 8EMA and 21EMA in this market for quick hits. Thoughr about using 5EMA and now will try it 💫
Often when I'm trading on the daily time frame and I enter I'm instantly at a loss, especially if I never checked the intra day time frames..often the lower time frames are counter trading..so I see why he waits for the 5 min time frame to be correct..I think I might adopt that ..
Money is not meant to control people, rather it is meant to be put to work producing more money for you. You cannot build wealth without putting money in its rightful place
How do you set the MAs on Tradingview?
Just had to mention, i had an SS Monti Carlo that had a broken gas guage. It only took one time running out of gas to stop taking chances.
Dudes a bear good question Justin
Hi
Statistics is the science of probability, that means, you wont predict any thing precisely, only able to predict a range. By using 65 min instead of 60 min, the presenter tries to get too cute but it wont improve the trend prediction any bit. Over-analysis.