WEBVTT - Here's Why Nvidia Is So Hard To Price Right Now

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>I'm Stephen Carol and this is Here's Why, where we

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<v Speaker 2>take one news story and explain it in just a

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<v Speaker 2>few minutes.

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<v Speaker 1>With our experts here at Bloomberg.

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<v Speaker 2>The artificial intelligence wave has boosted the value of tech

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<v Speaker 2>companies around the world this year, but one firm has

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<v Speaker 2>surpassed them all.

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<v Speaker 1>Video video.

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<v Speaker 2>The surge in demand for in videos highly sought after

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<v Speaker 2>chips is made at the hottest stock on Wall Street,

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<v Speaker 2>and on the eighteenth of June, the rally propelled it

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<v Speaker 2>to the title of the world's most valuable company.

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<v Speaker 3>When Vidia has more than double, more than triple the

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<v Speaker 3>year to date, it's astounding right now, three point three

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<v Speaker 3>to five trillion dollar market value. It's added two point

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<v Speaker 3>one trillion dollars in market value this year. That's more

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<v Speaker 3>than Amazon, that's more than Meta, that's more than Berkshire Hathaway.

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<v Speaker 1>But just days later, the stock price plunged.

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<v Speaker 2>The only thing that everyone is talking about is in video.

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<v Speaker 1>It follows three straight days.

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<v Speaker 2>Of declines which total more than ten percent, So therefore

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<v Speaker 2>technical correction in just three days of trading, four hundred

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<v Speaker 2>and thirty billion dollars was wiped off the AI chip

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<v Speaker 2>giants market cap. It was the biggest value loss over

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<v Speaker 2>that period for any company in history, and the whole

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<v Speaker 2>episode has left analysts scratching their heads as to.

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<v Speaker 1>How much the tech giant should really be worth.

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<v Speaker 2>I think it's really difficult to really ascertain what the

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<v Speaker 2>total addressable market really is for artificial intelligence.

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<v Speaker 1>So here's why in Vidia is so hard to price

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<v Speaker 1>right now.

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<v Speaker 2>Joining u STAT to discuss is Matt Turner, who leads

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<v Speaker 2>Bloomberg's US equities coverage. Matt, great to have you with us.

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<v Speaker 2>So the standard way that we think about valuing firms

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<v Speaker 2>is on price to earnings share prices versus earnings per share.

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<v Speaker 1>But that's tricky for in Vidio.

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<v Speaker 4>Why Yeah, it's very difficult for Nvidia in the sense

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<v Speaker 4>that the company itself has really transformed itself in the

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<v Speaker 4>last couple of years. So if we want to take

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<v Speaker 4>a step back, was primarily selling these GPUs to power

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<v Speaker 4>computer graphics sort of was used in the crypto space

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<v Speaker 4>back in the twenty twenty one twenty twenty two days,

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<v Speaker 4>and now it's obviously it's been flipped into the generative

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<v Speaker 4>AI name that everybody's looking at, and that has really

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<v Speaker 4>led to explosive growth in the company's sales, and that

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<v Speaker 4>creates a headache for analysts and for the company itself

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<v Speaker 4>in terms of projecting what they're going to make on

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<v Speaker 4>a quarter by quarter basis, And so you have to

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<v Speaker 4>look at the company now and you also have to

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<v Speaker 4>look at where it's going to be in a year

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<v Speaker 4>and two years and three years, and that's very difficult

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<v Speaker 4>to do for a market like the AI industry, which

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<v Speaker 4>I don't know if we want to say that it's new,

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<v Speaker 4>but it's definitely become the hottest thing right now, and

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<v Speaker 4>so it creates a headache for how big it's going

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<v Speaker 4>to be, how fast it's going to grow, and analysts

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<v Speaker 4>are sort of grappling with how to create those projections.

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<v Speaker 4>Sometimes they look at historical growth for the company, and

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<v Speaker 4>for Nvidia that has a thirty year history, this is

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<v Speaker 4>completely different than any think it's ever really seen outside

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<v Speaker 4>of its early days of growth. So it's just like

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<v Speaker 4>a very difficult time to see is this going to

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<v Speaker 4>continue or is it going to flat now, or even

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<v Speaker 4>you know, is it going to taper off and start

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<v Speaker 4>to decline?

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<v Speaker 2>Yeah, I mean, certainly, even if you think about the

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<v Speaker 2>conversations we are having about AI just six months ago,

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<v Speaker 2>even that seems completely transformed. How are analysts putting a

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<v Speaker 2>price range on Nvidia at the moment.

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<v Speaker 4>Some of the ones that we've talked to have said

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<v Speaker 4>that there's, for lack of a better word, they're ballparking

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<v Speaker 4>it right. They're looking at the company's own guidance, where

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<v Speaker 4>the company will give projections for their revenue and they'll

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<v Speaker 4>say we're going to make twenty four billion dollars next

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<v Speaker 4>quarter roughly, and analysts will take that and they'll say,

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<v Speaker 4>we think that they will make around that, but based

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<v Speaker 4>off of their last few quarters, they're adding two three

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<v Speaker 4>four billion dollars on top of that because they're not

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<v Speaker 4>even sure the supply and demand for the chips themselves

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<v Speaker 4>is as I said, it's explosive at this point, and

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<v Speaker 4>so they're basically looking at that and they're trying to guess,

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<v Speaker 4>are we going to be fifteen percent above what the

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<v Speaker 4>company thinks? Are we going to be in line with

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<v Speaker 4>what the company thinks? And if you look at the

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<v Speaker 4>last five quarters, the company itself has undershot its own

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<v Speaker 4>sort of sales that it's reported by about thirteen percent,

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<v Speaker 4>which is big You look at a company like Apple

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<v Speaker 4>or Meta and Fai Book and they typically beat or

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<v Speaker 4>miss their own guidance by about two percent. So compare

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<v Speaker 4>that to a thirteen percent beat or miss rate, it's

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<v Speaker 4>a pretty massive gap, especially for a company the size

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<v Speaker 4>of Nvidio.

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<v Speaker 2>At this point, Yeah, I mean, it sounds like a

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<v Speaker 2>gasing game, an educated gasing game, but a bit of

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<v Speaker 2>a gas Nonetheless, we're a couple of days out from

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<v Speaker 2>that massive share price drop.

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<v Speaker 1>Was that linked to the difficulty of valuing in video?

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<v Speaker 1>It's difficult to say.

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<v Speaker 4>I mean, I would say yes, analysts and investors and

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<v Speaker 4>fund managers are all questioning how to value the stock

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<v Speaker 4>and has it gotten too big? But you look back

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<v Speaker 4>a couple of years in Video was a five hundred

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<v Speaker 4>billion dollar stock, which, don't get me wrong, that's a

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<v Speaker 4>very large company relatively speaking, but becoming from five hundred

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<v Speaker 4>billion to the world's largest company at over three trillion,

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<v Speaker 4>and people are questioning whether it's worth that the price decline.

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<v Speaker 4>A lot of it from people that we've talked to,

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<v Speaker 4>is because of that. People were getting worried whether it's

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<v Speaker 4>gotten ahead of itself in terms of the run up,

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<v Speaker 4>whether it can when the future make enough money and

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<v Speaker 4>sell enough of these chips to back up the three

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<v Speaker 4>trillion valuation it was at. In the last few days,

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<v Speaker 4>investors got nervous as to whether or not they were

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<v Speaker 4>going to be able to live up to that sort

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<v Speaker 4>of hype. So that's sort of why we saw the

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<v Speaker 4>pullback in recent days.

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<v Speaker 2>So to make an ai and onogy, then how are

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<v Speaker 2>analysts learning and projecting about how in Video's stock price

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<v Speaker 2>will look in the future. What sort of clues the

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<v Speaker 2>forward price to earnings ri cio give us as to

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<v Speaker 2>what might be the future direction of the stock.

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<v Speaker 4>Yeah, I mean they will use it to try and

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<v Speaker 4>project out Right now it's trading around it's a forty

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<v Speaker 4>times multiples. That's something that analysts will use to compare

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<v Speaker 4>it to itself versus history. They'll compare it to other companies,

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<v Speaker 4>and one of the things that we hear from a

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<v Speaker 4>lot of people is that's expensive relative to most companies

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<v Speaker 4>on the S and P five hundred. They will essentially

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<v Speaker 4>look at that and say, can it trade at a

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<v Speaker 4>higher level than this? Can it trade it at eighty

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<v Speaker 4>times earnings? Can it trade it one hundred times earnings?

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<v Speaker 4>And then they'll look at the price and they will

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<v Speaker 4>sort of extrapolate that out. They will essentially put their

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<v Speaker 4>price targets on it and say, we think that this

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<v Speaker 4>could trade it sixty times earnings, which equals a, for example,

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<v Speaker 4>a two hundred dollars price target, which an analyst recently

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<v Speaker 4>came out in the last few weeks with that exact

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<v Speaker 4>price target, which would put the company at close to

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<v Speaker 4>five trillion in the next year, which is massive.

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<v Speaker 2>It's not that often that we get to reference middle

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<v Speaker 2>age middle age mathematicians maybe, but not mathematicians in the

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<v Speaker 2>middle ages. But I'm talking about Fibonacci, a word that

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<v Speaker 2>some of our listeners may only have heard the Devinci code.

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<v Speaker 2>But I'm wondering how much the Fibonacci retracement level plays

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<v Speaker 2>into this, And if you can explain it for those

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<v Speaker 2>that don't know.

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<v Speaker 4>Sure, Yeah, it is a very complicated math formula that

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<v Speaker 4>I will not try to explain, but at its core,

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<v Speaker 4>it's something that traders and analysts use to sort of

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<v Speaker 4>analyze price moves. They look at it and they tend

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<v Speaker 4>to say these levels correspond with what they would consider support.

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<v Speaker 4>So if the stock is falling, they will look at

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<v Speaker 4>one of these so called retracement levels, and they will say,

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<v Speaker 4>you know, we think that the stock is going to

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<v Speaker 4>reach this level, and then investors will, based off of history,

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<v Speaker 4>based off of other technical analysts viewpoints, they will say

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<v Speaker 4>that the stock is going to bounce off of that level.

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<v Speaker 4>And that's actually something that we've seen within video stock itself.

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<v Speaker 4>You see it with a lot of other stocks. Again,

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<v Speaker 4>technical analysis is a hot topic among traders and investors.

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<v Speaker 4>Some people believe that it's really an art form. Some

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<v Speaker 4>people believe that it's just like magic and is not

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<v Speaker 4>very real. It's very divisive among traders, depends on who

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<v Speaker 4>you ask. But if you look at the charts, especially

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<v Speaker 4>within video recently, those retracement levels have acted as support

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<v Speaker 4>levels for the stock, which has lend some credence to

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<v Speaker 4>the validity of using them to project where the stock

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<v Speaker 4>is going to go from here.

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<v Speaker 2>And once again, I realize the Italians can teach us

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<v Speaker 2>so much. Matt Turner, thank you so much for joining us.

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<v Speaker 2>Matt leads our coverage of US equities. For more explanations

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<v Speaker 2>like this from our team of twenty seven hundred journalists

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<v Speaker 2>and analysts around the world, search for Quick Take on

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<v Speaker 2>the Bloomberg website. Or Bloomberg Business App. I'm Stephen Caroll.

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<v Speaker 2>This is here's why. I'll be back with more next week.

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<v Speaker 2>Thanks for listening.