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Now, here's the deal with moving averages, they have limitations, they're very useful, but they're
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not perfect.
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You know, nothing's perfect, right?
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But they can be used really in conjunction with other types of indicators as well as far as a really
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good confirming type indicator or working as a parent.
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And in some of these challenges, there are harder overcome than others.
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So let's take a moment to talk about the limitations of this.
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Good.
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But let's talk about some limitations and some of the ways that we can overcome them.
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We talked a little bit about filters of the subway moving average.
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Let's talk about some other things we can look at as well.
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Now, one of the limitations of moving averages in general is when markets go sideways right there.
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You can almost see from the image there in the circle where it goes up and it goes down or up and down,
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up and down.
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And it's kind of go on the sideways thing versus a definite upward trend or a downward trend.
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Moving averages are better that way.
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They strike a little bit more when they're still trending or they're moving sideways, makes it harder
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to predict the next move.
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And that's where our whipsaws come in right there.
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Frequent price changes above and below the crossover line, giving us different, you know, buy and
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sell signals constantly.
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So we might be forced to trade more often unless we filter that.
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The value in a sideways move is you can recognize that is to recognize that's occurring and then adjust
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or wait for a trend to appear.
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Or you can use other tools with the moving average to identify actions to take likely can't support
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resistance levels, different things of that nature, but understand that a moving average can be a
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little bit more limited in a more sideways market.
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If we look at this image here, you can see where there's a definite uptrend in the blue and a definite
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downtrend in the right.
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And then we see the sideways trend there in the middle where kind of is border between the two of the
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top and the bottom on that.
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And then you'll using things like our chart analysis, we can identify that that's a channel and we
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can sell near the tops of this channel, for example, or we could be near the bottom of the channel.
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This is our desistance and support line that you see that we've driven over the top of and above these
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prices.
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And then if we look at the moving average overlaid on top of that, maybe we could also look at to be
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even more comfortable, we could say, well, we're going to sell near the top of the channel, expecting
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it to come back down.
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But and then when it comes back down, maybe we've sold at the top a channel.
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But if we're not sure of the channel, we would certainly sell after it crosses that moving average
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line.
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And then as it gets more near the bottom that support level, then we might be near that bottom as opposed
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to, you know, buying.
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Or we could wait until we bought after it crossed the line again.
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So you can kind of see where they can kind of work together, these different channels and moving averages.
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And there's different times when you'd be buying or selling, whether you're moving quicker on something
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like that or slower on something like that, depending on the channel and depending on the moving average.
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Another limitation dealing with moving averages is noise, right?
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If you have a disorderly charge, there's lots of outliers.
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Right.
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So it's kind of noisy.
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Raoul Spikes or you have high prices, low prices.
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It doesn't seem to be really very organized.
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As far as a chart or a noisy chart.
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You can give off more false buy and sell signals.
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Right.
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It's going above and below the line, whipsawing a lot.
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It just seems to be all over the place.
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And you can fix that by applying a moving average with more days in it.
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You know, so so things that are these big outliers can get smoothed out more and become less of an
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outlier because a longer time frame will actually smooth that out.
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More than a shorter time frame.
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However, a longer time frame will increase the lag a little bit more doesn't put as much emphasis on
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more recent prices.
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So with all these things, you have kind of a give and take around the too.
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But if you're dealing with a chart that seems just real confusing highs, lows all over the place and
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you want to try to get a feel for that moving average, try a longer time frame to give you a little
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bit another way of looking at it, understanding, though, that it might increase the leg.
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And then if we look at leg itself, that, of course, is a limitation and you could see a dramatic
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price move and you could see potential profits, like look at where it went and when way down there
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might be a way to buy in.
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And and and then there might be a good opportunity here.
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But you're let's say you're a disciplined investor, hopefully hard, disciplined investor.
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And you said you want to wait a few days for that legging moving average to catch up and then actually
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create the cross the crossover.
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So you can see it kind of happening.
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You see it kind of moving towards the line, you know, the moving average line, but you're waiting
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for the crossover to happen to, which is your way of confirming and your way of making that decision
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around that.
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And if you put an extra filter on, it needs to cross the line by a two percent or three percent before
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you actually make a decision, let's say, to buy, for example.
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Meanwhile, while you're waiting for that kind of leg, you could be losing out on profits, waiting
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for that to happen.
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Now, the nice thing with technical analysis, you don't have to be perfect to be perfect every time.
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But understand, there's an opportunity cost where you might be delaying to avoid the whipsaw and avoid
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frequent trading.
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But you're experiencing that leg now.
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You can fix that by applying a moving average with less days in it, you know, so be more sensitive
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that recent price or you put maybe more of a weighted moving average with less.
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That is doubly sensitive to a more recent price, and so you're trying to reduce that leg a little bit
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as far as your trading decisions go.
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But if we look at some of those things, you can see the conflict.
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I hope you saw the conflict there right away.
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If not, let's talk about that.
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You have noise and like.
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Right and noise you fix by applying a moving average with more days in it and then letting you fix by
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applying a moving average with less days in it.
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So you can't play around it, especially as you learn certain securities.
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What might work best for that particular security.
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But you can see, you know, there's a yin and yang here.
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You're you're giving up one, you're getting more of another.
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So unfortunately, there's no magic number of days.
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Right?
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I wish there was a magic number.
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I would say.
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Well, the best number to reduce noise and leg at the same time is this number of days or a number of
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periods, depending on your could be hours or minutes.
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Let's say you're were a day trader, so there is no actual perfect one.
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Summer might work better than others, but there's no perfect one.
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You just have to adjust and understand, you know, noise and leg alternately.
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Well, you could do is just focus on a security that's more orderly or an effect less noisy, has less
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of these outliers and things.
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So it's a little bit more early.
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So if you have less noise, you can you know, you can kind of work on that leg, part a little bit
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more and use a moving average with less days because the security is moving in a more orderly fashion.
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So that's another way you could do it.
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And then there's another option, which you can use multiple moving averages as a strategy.
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We're going to talk that next year.
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And also we're going to talk about that strategy where you're not looking at when the price crosses
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over and dealing with the limitations.
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You're going to look at moving averages cross over each other.
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So let's take a look at that here in the next lesson.
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