WEBVTT - Katie Stockton Started with Technicals in College

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<v Speaker 1>This is Masters in Business with very Ridholts on Bloomberg Radio.

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<v Speaker 1>This week on the podcast, my special guest is Katie Stockton.

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<v Speaker 1>She is the chief technical strategist at bat I G,

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<v Speaker 1>a New York based brokerage firm, the institutional brokerage firm.

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<v Speaker 1>If you are at all interested in really some of

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<v Speaker 1>the details of a practitioner in the field of technicals

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<v Speaker 1>who are using it as part of their process to

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<v Speaker 1>advise UH substantial hedge funds, pension funds, mutual funds, really

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<v Speaker 1>large pools of institutional money, UH, then this is the

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<v Speaker 1>sort of conversation that you're gonna enjoy. We very much

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<v Speaker 1>go into the weeds and we talked a lot about

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<v Speaker 1>very very specific technicals and processes and how she approaches

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<v Speaker 1>the market. She she's an award winning UH technician who

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<v Speaker 1>is highly respected on the street. And really it's it's

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<v Speaker 1>a um, quite a change in the world to look

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<v Speaker 1>at technicals today as is accepted and part of the

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<v Speaker 1>firmament of finance, compared to ten or twenty years ago

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<v Speaker 1>when they were kind of looked looked at askance. And

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<v Speaker 1>I think the between the rise of quantitative analysis and

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<v Speaker 1>the computing power that really lets us see, Hey, are

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<v Speaker 1>these technicals genuinely providing value or not that that's helped

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<v Speaker 1>them gain broad acceptance. So if you're at all interested

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<v Speaker 1>in trading, charting, anything technical, you're gonna really enjoy this

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<v Speaker 1>conversation with no further ado, my interview with Katie Stockton.

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<v Speaker 1>My guest today is Katie Stockton. She is the chief

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<v Speaker 1>Technical Strategist for bt I G in New York City. Previously,

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<v Speaker 1>she was chief market technician at m CAM Partners. She

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<v Speaker 1>has also been a trader for Ulysses Management fairly substantial

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<v Speaker 1>New York hedge fund. She also was a publishing analyst

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<v Speaker 1>for the Technical Strategy Group at Morgan Stanley. She is

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<v Speaker 1>a CMT and she received her designation in two thousand one.

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<v Speaker 1>This year, she was named Best Institutional Brokerage for Equity

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<v Speaker 1>Research at the Technical Analysts Award for the technical research

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<v Speaker 1>she provides. Katie Stockton, Welcome to Bloomberg. Thank you Berry.

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<v Speaker 1>It's good to be here. It's good to have you.

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<v Speaker 1>Let's let's start with a little bit about your background.

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<v Speaker 1>How did you find your way to Wall Street? What

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<v Speaker 1>attracted you to stocks, bonds and charts. Well, I think

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<v Speaker 1>it was really meant to be early on, I had

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<v Speaker 1>an interest in mathematics and and that took me into

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<v Speaker 1>a finance major in college. And fortunately, you know, that

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<v Speaker 1>finance major obviously bosed me to you know, all things

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<v Speaker 1>Wall Street, of course, but also exposed me to technical analysis,

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<v Speaker 1>which is of course what I do today in college.

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<v Speaker 1>In college, believe it or not, really so, so, what

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<v Speaker 1>sort of classes were you taking where they talked about

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<v Speaker 1>charge Because it seems that at the academic level, other

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<v Speaker 1>than people like Professor Andrew lo O and m. I.

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<v Speaker 1>T who writes about technicals and the heretics of finance,

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<v Speaker 1>academics look askance at technicals. Well, you know, I think

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<v Speaker 1>there's a good trend there quite frankly, but still early stages,

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<v Speaker 1>right right, I'm broken out yet. Um. But when I

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<v Speaker 1>went to University of Richmond in Virginia, a smaller school,

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<v Speaker 1>and it just happened to have coursework in technical analysis.

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<v Speaker 1>Believe it or not, it was one of at the time,

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<v Speaker 1>it was one of twelve universities that offered this, and

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<v Speaker 1>now there's far more. But even still, I just got

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<v Speaker 1>lucky in a way that they offered that coursework. At

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<v Speaker 1>the I believe it was a four hundred level of

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<v Speaker 1>Finance class and at the time it was offered to

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<v Speaker 1>graduate students, so I audited it and that gave me

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<v Speaker 1>the exposure to some of the tools that I now use.

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<v Speaker 1>So you had the bug pretty early in your career,

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<v Speaker 1>did Yeah? And I had an internship while I was

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<v Speaker 1>at college for a firm called Dorsey right An Associates.

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<v Speaker 1>If you've heard of them, Not only have I heard

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<v Speaker 1>of them, but Tom Dorsey was a previous guest on

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<v Speaker 1>the show Is That Right? And Tom is great? And

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<v Speaker 1>I'm guessing you'll eventually ask me who my mentors are,

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<v Speaker 1>and Tom Dorrissey will come up again in our conversation.

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<v Speaker 1>He's obviously a great person and a great technician and

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<v Speaker 1>really helped inspire me to do it for a living

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<v Speaker 1>point and so we'll get into point and figure on

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<v Speaker 1>versus other types of charting later. Um. So, I've spoken

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<v Speaker 1>to various technicians who began their career either as fundamental

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<v Speaker 1>analysts or strategists and said, you know, I'm really more

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<v Speaker 1>interested in the supply and demands of stock transactions than

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<v Speaker 1>the broad I don't want to call it guesswork, but

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<v Speaker 1>the broader, less tech the cool things you apparently never

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<v Speaker 1>had that sort of bug. You went straight into the

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<v Speaker 1>straight into it, and like I said, it just seemed

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<v Speaker 1>like it his fate for me to to do what

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<v Speaker 1>I do now because it's it's such a great mesh

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<v Speaker 1>of the mathematical side of things, and it really resonates

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<v Speaker 1>with me in terms of analyzing a stock as a stock,

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<v Speaker 1>not just as representative of a company, because as we

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<v Speaker 1>all know, you'll see a market move effect various stocks

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<v Speaker 1>in a way that makes no sense from a fundamental perspective.

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<v Speaker 1>So to be able to understand how that's happening, why

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<v Speaker 1>it's happening, and really what's happening, and I think that's

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<v Speaker 1>very valuable. So when I took the course, the Technical

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<v Speaker 1>Analysis course with Ralph Alkimpora, one of the things that

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<v Speaker 1>have stayed with me was a quote of his and

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<v Speaker 1>Ralph said, fundamentals tell you what to buy, Technicals tell

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<v Speaker 1>you when what do you think? Well, there's undeniably a

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<v Speaker 1>great market timing element that you can derive from the charts.

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<v Speaker 1>And I would also argue though, that you can use

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<v Speaker 1>them for idea generation and it becomes a matter of preference.

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<v Speaker 1>So I think of technical analysis as really a complementary discipline,

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<v Speaker 1>So it's not a stand alone in the same way

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<v Speaker 1>that I don't think macro you know, economics or fundamentals

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<v Speaker 1>should also be a stand alone. I think together you

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<v Speaker 1>can get a great sort of rounded view of a

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<v Speaker 1>market or a security. And you know, if the fundamentals

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<v Speaker 1>help you decide what to buy, and then you use

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<v Speaker 1>technicals or charts to understand your best entries and exits,

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<v Speaker 1>that's definitely one use. So there's a lot of risk

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<v Speaker 1>management involved in using completely. Yeah, that they can be

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<v Speaker 1>very valuable, especially for a cell discipline, which I think

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<v Speaker 1>a lot of people are lacking for sure. So so

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<v Speaker 1>what is technical analysis actually measure? When you're looking at

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<v Speaker 1>a chart of a stock, what are you really looking at?

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<v Speaker 1>You know, it's it's prices, right, So the market really

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<v Speaker 1>lends us one data point and it's price, and I

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<v Speaker 1>would argue that volume is another one. But yet has

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<v Speaker 1>really lost some of its value in terms of having

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<v Speaker 1>in any predictive information. Why is that? Why is volume that?

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<v Speaker 1>As a trader and it was always volume proceeds price,

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<v Speaker 1>you heard that constantly. Is that no longer it used

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<v Speaker 1>to be? Yeah, you need to see volume expanding into

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<v Speaker 1>sustainable up trends, and that that was the stuff of

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<v Speaker 1>the textbooks way back when. Now, of course we've seen

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<v Speaker 1>volume on on the decline since about two thousand and seven,

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<v Speaker 1>so about ten years now. Is that of the financial

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<v Speaker 1>crisis or the rise of indexing or I think many

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<v Speaker 1>different A little it's many different things. I mean, there's

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<v Speaker 1>obviously derivatives. We have so many different influences on volume

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<v Speaker 1>these days, and I would argue some of them are

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<v Speaker 1>not um real volume. I mean, there's always a buyer

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<v Speaker 1>and seller, right, but are these committed buyers? Are they

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<v Speaker 1>you know, real sellers so or are they passive you

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<v Speaker 1>know indexers, or or are they high frequency traders? So

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<v Speaker 1>you just you can't really understand if the volume is

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<v Speaker 1>real these days. And then it's also been on the decline,

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<v Speaker 1>so you have these influences that make it just that

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<v Speaker 1>much less helpful in my opinion. So to me, I'm

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<v Speaker 1>I'm very much just looking at prices, and prices can

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<v Speaker 1>be incredibly informational and and of course those prices are

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<v Speaker 1>measuring supply and demand, and it's just that simple. Let's

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<v Speaker 1>talk a little bit about what the chief technical strategist does.

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<v Speaker 1>What does your process look like, where do you begin. Well,

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<v Speaker 1>I am a cell side research analyst, so I work

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<v Speaker 1>for a broker dealer b T i G here in Manhattan.

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<v Speaker 1>Your clients are mostly large institutions, all institutional clients, and

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<v Speaker 1>it runs a gamut in terms of hedge funds, mutual funds,

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<v Speaker 1>really anyone who can benefit from this kind of analysis,

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<v Speaker 1>which I would describe as top down in nature. But

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<v Speaker 1>I also do a lot of bottom up work to

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<v Speaker 1>support that, or my version of bottom up work is

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<v Speaker 1>probably quite different than what we all know. So that's

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<v Speaker 1>what I was gonna ask. When you say top down,

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<v Speaker 1>you're really looking at markets, different types of asset classes,

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<v Speaker 1>different sectors, and bottoms up our specific companies. Is that's

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<v Speaker 1>exact right? I do tend to be equity centric, and

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<v Speaker 1>at BT I G we are global financial services firms,

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<v Speaker 1>so I've branched out and looked at more than just

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<v Speaker 1>US and to really global equity markets. And I do

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<v Speaker 1>start with the major indussease, the equity indsease. I look

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<v Speaker 1>at sector benchmarks, things like that, and then of course

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<v Speaker 1>anything that really influences equities, whether it's commodities, f X,

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<v Speaker 1>things like that. So that's where I start and I

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<v Speaker 1>think it's an important place to start in a UM

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<v Speaker 1>an environment that is so sort of top down driven,

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<v Speaker 1>right where where the macro influences are so important and

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<v Speaker 1>really are the drivers of some of the trends. And

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<v Speaker 1>to understand that's very important. I mean, if you're if

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<v Speaker 1>you're you know, right on the market, generally, you're probably

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<v Speaker 1>going to have a much better you know time at

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<v Speaker 1>being right on any individual company. And then I do

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<v Speaker 1>also look at the market, um, you know, just based

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<v Speaker 1>on the stocks that comprise the major indicry. So every week,

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<v Speaker 1>every other week, in fact, I'll do either international or

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<v Speaker 1>US and and take a list of five hundred stocks

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<v Speaker 1>and look at those one by one. And it's a

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<v Speaker 1>bit tedious, but that process to me helps me in

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<v Speaker 1>my my market views, but also can help us understand

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<v Speaker 1>where there is opportunity UM whether it's breakouts or breakdowns

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<v Speaker 1>or a theme based opportunity. So we're just looking for

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<v Speaker 1>developments on the charts and themes. So when you're looking

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<v Speaker 1>at charts, are you looking specifically for either extensions of

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<v Speaker 1>trends or breaks of trends? Are you looking at specific patterns?

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<v Speaker 1>What is it that catches your main focus? Well, I

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<v Speaker 1>really do believe as you could imagine in trend following,

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<v Speaker 1>and I think that you generally want to have your

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<v Speaker 1>core long exposure in you know, securities that are in

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<v Speaker 1>long term up trend set. And there's a lot of

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<v Speaker 1>academic support for for that. Certainly. Yeah, you know, a

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<v Speaker 1>trend in motion tends to stay in motion. And yet

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<v Speaker 1>where I can also add value to our clients as

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<v Speaker 1>an understanding where there might be an inflection point or

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<v Speaker 1>you know, deteriorating momentum that type of things. So we

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<v Speaker 1>do spend a lot of time looking for signs of

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<v Speaker 1>trend exhaustion it how would you how would you look

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<v Speaker 1>for trend exhaustion and how would you define that? There?

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<v Speaker 1>There's I'd say there's three classes of indicators that I use.

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<v Speaker 1>The first would be momentum or trend following, the second

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<v Speaker 1>would be overbought oversold, and the third would be relative strength.

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<v Speaker 1>So to arrive at that trend exhaustion signal, I'm typically

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<v Speaker 1>looking at the overbought oversold measures. So for me, that

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<v Speaker 1>would be a stochastic oscillator or Tom Demark's suite of

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<v Speaker 1>indicators tend to help with that as well. And what

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<v Speaker 1>what don't you look at what are the sort of

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<v Speaker 1>things that you just don't find of a lot of

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<v Speaker 1>value at least to your process, right, and it's very

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<v Speaker 1>specific to the individual. Of course, what you have success

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<v Speaker 1>with and what I always recommend to people is to

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<v Speaker 1>to have a process and whatever that process, maybe to

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<v Speaker 1>be consistent and somewhat systematic in the way you approach it,

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<v Speaker 1>because what you learn is that these indicators, while they

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<v Speaker 1>fail you, often you learn where they tend to fail you.

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<v Speaker 1>And it's all in really how you combine the indicat

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<v Speaker 1>heaters that you arrive at a market view, and so

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<v Speaker 1>it's fairly probabilistic. You're no one indicator is a sure thing,

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<v Speaker 1>but a collection of indicators give you a better chance.

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<v Speaker 1>That's exactly right, And it helps to take out some

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<v Speaker 1>of the gray area of the market. So I really

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<v Speaker 1>welcome those kinds of tools that are a bit more

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<v Speaker 1>mathematically derived and less visual, but to really just enhance

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<v Speaker 1>what you're seeing more visually, because you can't take that

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<v Speaker 1>element away, of course. But what I don't use would

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<v Speaker 1>be UM. I don't use many UM you know, wave analysis,

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<v Speaker 1>no wave for me, I don't use anyone. Still a

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<v Speaker 1>lot of people do in fact, and my experiences is

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<v Speaker 1>that they tend to be more bearish than not. Has

0:12:42.800 --> 0:12:46.120
<v Speaker 1>that worked out the well, and so I think, you know,

0:12:46.160 --> 0:12:48.760
<v Speaker 1>maybe that could be more successful when overlaid with some

0:12:48.800 --> 0:12:51.679
<v Speaker 1>of the momentum tools and what else don't you use.

0:12:51.920 --> 0:12:55.760
<v Speaker 1>What do you think of fibinaci as a trading tool, Well,

0:12:55.800 --> 0:12:58.320
<v Speaker 1>it's not really a trading tool, but it's a way

0:12:58.360 --> 0:13:01.760
<v Speaker 1>to identify support and resist stance, right, so that can

0:13:01.800 --> 0:13:04.000
<v Speaker 1>be very valuable. In fact, I think, if if any

0:13:04.040 --> 0:13:06.600
<v Speaker 1>takeaway that you have from the charts, support and resistance

0:13:06.640 --> 0:13:08.560
<v Speaker 1>should be where you start, because that's your gauge of

0:13:08.760 --> 0:13:12.800
<v Speaker 1>risk and reward. So fibonacis can be very very helpful

0:13:12.800 --> 0:13:15.840
<v Speaker 1>in that regard. They're a little difficult to explain to clients,

0:13:15.840 --> 0:13:19.400
<v Speaker 1>as you could imagine, because why do they work? Yeah? Why? Yeah?

0:13:19.440 --> 0:13:22.640
<v Speaker 1>Why do they work? It's a ratio throughout nature. I

0:13:22.679 --> 0:13:25.400
<v Speaker 1>don't want to man explain fibonaci because you're the I

0:13:25.480 --> 0:13:28.560
<v Speaker 1>wish I wish you would. In fact, it is the

0:13:28.600 --> 0:13:31.920
<v Speaker 1>golden ratio, which is found in all sorts of um

0:13:32.080 --> 0:13:37.320
<v Speaker 1>in and in um, the nautilus shells, and in all

0:13:37.360 --> 0:13:41.040
<v Speaker 1>sorts of other things like that. And as you said,

0:13:41.360 --> 0:13:44.760
<v Speaker 1>we're not really sure why it works or it works,

0:13:45.200 --> 0:13:48.280
<v Speaker 1>but it certainly seems to be there. It does matter,

0:13:48.440 --> 0:13:50.400
<v Speaker 1>and it can be really helpful when you don't have

0:13:50.480 --> 0:13:53.719
<v Speaker 1>more traditional means of deriving support and resistance. And by

0:13:53.720 --> 0:13:56.400
<v Speaker 1>that I would mean something like a movie average, a

0:13:57.160 --> 0:14:00.000
<v Speaker 1>movie average, or a peak or a trough on the chart.

0:14:00.480 --> 0:14:03.200
<v Speaker 1>So my friend Todd Harrison, who used to be a

0:14:03.320 --> 0:14:06.440
<v Speaker 1>chief trader at a hedge fund, used to say, is

0:14:06.960 --> 0:14:10.520
<v Speaker 1>with things like Fibonacci when we would be debating how

0:14:10.559 --> 0:14:14.839
<v Speaker 1>well they work or didn't work, is the support there

0:14:15.040 --> 0:14:18.320
<v Speaker 1>because of the fibonacci or is the fibonacci there because

0:14:18.320 --> 0:14:22.120
<v Speaker 1>of the support? Or? In other words, if everybody believes

0:14:22.160 --> 0:14:25.200
<v Speaker 1>something is the case, does it just become a self

0:14:25.240 --> 0:14:28.240
<v Speaker 1>fulfilling prophecy or something else going on? You know? I mean,

0:14:28.280 --> 0:14:30.320
<v Speaker 1>we we could talk about that. I don't think there's

0:14:30.360 --> 0:14:33.440
<v Speaker 1>any real answer to that question, unfortunately, except to say

0:14:33.480 --> 0:14:38.120
<v Speaker 1>that where things are self fulfilling, great because we we

0:14:38.200 --> 0:14:41.480
<v Speaker 1>welcome that. And uh, you know, I'd say the fibonacis

0:14:41.520 --> 0:14:43.440
<v Speaker 1>would be less obvious as something that would be self

0:14:43.440 --> 0:14:47.480
<v Speaker 1>fulfilling in that it's a subjective approach to draw in

0:14:47.480 --> 0:14:50.560
<v Speaker 1>those ratios on the charts, whereas something like the two

0:14:50.960 --> 0:14:53.480
<v Speaker 1>day movie average would be more likely to have that

0:14:53.520 --> 0:14:56.400
<v Speaker 1>self fulfilling nature. I support resistance because there's so many

0:14:56.400 --> 0:14:58.880
<v Speaker 1>eyes on it. Let's talk a little bit about technical

0:14:58.960 --> 0:15:03.040
<v Speaker 1>analysis for the late person. Explain to us what technical

0:15:03.080 --> 0:15:07.760
<v Speaker 1>analysis actually is. Well, you know people know it as charting, right,

0:15:07.840 --> 0:15:10.800
<v Speaker 1>So you take a price. Any security has a price,

0:15:11.400 --> 0:15:14.160
<v Speaker 1>and what we're using is that price as a gauge

0:15:14.200 --> 0:15:17.040
<v Speaker 1>was supply and demand for that security, and trying to

0:15:17.120 --> 0:15:20.360
<v Speaker 1>understand the trends behind that, and not only the trends

0:15:20.400 --> 0:15:24.240
<v Speaker 1>but also when they might end. So that that's the

0:15:24.280 --> 0:15:27.080
<v Speaker 1>design of technical analysis. We're trying to understand where there

0:15:27.160 --> 0:15:30.160
<v Speaker 1>might be a shift in that supplied demand relationship just

0:15:30.400 --> 0:15:34.800
<v Speaker 1>using price based analysis. So early in your career you

0:15:34.960 --> 0:15:38.160
<v Speaker 1>worked for Tom Dorsey at Dorsey Right, and they are

0:15:38.320 --> 0:15:42.440
<v Speaker 1>famous for point and figure charting. How does that chart

0:15:42.640 --> 0:15:48.080
<v Speaker 1>differ from just a regular price chart. Um, it's incredibly different. Yeah,

0:15:48.120 --> 0:15:49.880
<v Speaker 1>you know, when you look at it, it it looks almost

0:15:49.880 --> 0:15:52.920
<v Speaker 1>like a tic tac toe sheet with x's nose And

0:15:53.600 --> 0:15:57.280
<v Speaker 1>the most important distinction is that it doesn't really reflect

0:15:57.400 --> 0:15:59.600
<v Speaker 1>time on the X axis in the same way that

0:15:59.800 --> 0:16:02.520
<v Speaker 1>a typical bar chart which would have open high low

0:16:02.560 --> 0:16:05.760
<v Speaker 1>closed data would UM. I tend to use the bar

0:16:05.880 --> 0:16:09.200
<v Speaker 1>charts more now, in part because it was difficult on

0:16:09.280 --> 0:16:12.920
<v Speaker 1>a in a cell side position to explain exactly why

0:16:12.960 --> 0:16:15.600
<v Speaker 1>we should care about these xs and os. But they're

0:16:15.600 --> 0:16:18.640
<v Speaker 1>really such such a useful a way of looking at

0:16:18.680 --> 0:16:21.040
<v Speaker 1>the market is to understand this supply demand that goes

0:16:21.080 --> 0:16:23.160
<v Speaker 1>into the xs and os that you're plotting on these

0:16:23.240 --> 0:16:26.880
<v Speaker 1>these grids UM great for trend following, great for understanding

0:16:26.960 --> 0:16:30.520
<v Speaker 1>breakouts and breakdowns. Um, but you know they omit a

0:16:30.600 --> 0:16:36.200
<v Speaker 1>volume component and no volume, no time, just buying and selling. Yeah,

0:16:36.240 --> 0:16:38.480
<v Speaker 1>just buying and selling, Like you know, has price moved

0:16:38.600 --> 0:16:42.640
<v Speaker 1>enough to designate another plot? Basically, what are what are

0:16:42.680 --> 0:16:46.120
<v Speaker 1>some of the big misconceptions about technical analysis? We've heard

0:16:46.160 --> 0:16:49.520
<v Speaker 1>people say over the years that stuff is just voodoo.

0:16:49.960 --> 0:16:52.840
<v Speaker 1>Oh and they're still saying it, some of them. But well,

0:16:53.240 --> 0:16:55.200
<v Speaker 1>I've been doing this for about twenty years, and I'd

0:16:55.200 --> 0:16:58.280
<v Speaker 1>say it's come a long way, a really long way,

0:16:58.320 --> 0:17:01.160
<v Speaker 1>so in terms of the level of professionalism that you

0:17:01.200 --> 0:17:04.919
<v Speaker 1>see in our our small industry, and for good reason,

0:17:05.000 --> 0:17:09.000
<v Speaker 1>because people are realizing that that it's helpful, and I

0:17:09.040 --> 0:17:12.920
<v Speaker 1>think the push towards using it more systematically has really

0:17:13.359 --> 0:17:17.000
<v Speaker 1>taken it to that next level. So the misconceptions would

0:17:17.040 --> 0:17:20.200
<v Speaker 1>be that we're trying to you know, take historical prices

0:17:20.240 --> 0:17:24.280
<v Speaker 1>and always you know, predict something that it's overly predictive,

0:17:24.320 --> 0:17:28.080
<v Speaker 1>and then you assign these silly names to various price patterns,

0:17:28.119 --> 0:17:30.639
<v Speaker 1>and I think that adds to some aura of it

0:17:30.720 --> 0:17:33.760
<v Speaker 1>being not as serious in terms of the analysis, But

0:17:33.880 --> 0:17:36.520
<v Speaker 1>in reality it's it's more surface level because it really

0:17:36.560 --> 0:17:39.119
<v Speaker 1>is only price based. And I see that as a

0:17:39.160 --> 0:17:41.480
<v Speaker 1>positive because it allows you to look at anything and

0:17:41.560 --> 0:17:44.000
<v Speaker 1>have an opinion on it in less than a minute,

0:17:44.040 --> 0:17:47.159
<v Speaker 1>for for example, and it's objective. You're not you know,

0:17:47.240 --> 0:17:50.720
<v Speaker 1>you're looking at the actual data, not someone's opinion about

0:17:51.119 --> 0:17:54.800
<v Speaker 1>management or new product or new that's right, And I

0:17:54.840 --> 0:17:57.280
<v Speaker 1>think in a way that's a good thing because you

0:17:57.280 --> 0:18:00.600
<v Speaker 1>you become less committed to a position. And if you

0:18:00.840 --> 0:18:04.240
<v Speaker 1>identify a stock that you're interested in because it has

0:18:04.280 --> 0:18:07.520
<v Speaker 1>a great uptrend or some renewed momentum behind it, or

0:18:07.520 --> 0:18:10.919
<v Speaker 1>it's exhibiting relative strength, um, but you've only put in,

0:18:11.080 --> 0:18:13.800
<v Speaker 1>you know, twenty minutes of research on it, um, I

0:18:13.840 --> 0:18:17.480
<v Speaker 1>think you're less likely to get married to that position. Um,

0:18:17.520 --> 0:18:20.320
<v Speaker 1>But you know the best types of positions, in my opinion,

0:18:20.440 --> 0:18:23.439
<v Speaker 1>would have that you know, that trend falling, you know,

0:18:23.680 --> 0:18:27.679
<v Speaker 1>those gauges lined up positively, but also have the fundamental backdrop,

0:18:28.200 --> 0:18:30.000
<v Speaker 1>So that to me would be an ideal setup. And

0:18:30.000 --> 0:18:32.840
<v Speaker 1>I think more and more people are recognizing the value

0:18:32.960 --> 0:18:36.560
<v Speaker 1>and using it as that complementary discipline as opposed to

0:18:36.600 --> 0:18:39.280
<v Speaker 1>something that's designed to say, okay, well, whereas you know

0:18:39.359 --> 0:18:43.200
<v Speaker 1>this SMP five going to be in five years, because

0:18:43.240 --> 0:18:45.560
<v Speaker 1>that's not really to me where the value is. I

0:18:45.600 --> 0:18:49.720
<v Speaker 1>love the idea that it allows a degree of objectivity

0:18:50.040 --> 0:18:54.919
<v Speaker 1>so that you don't marry a position. A phrase I

0:18:54.960 --> 0:18:59.159
<v Speaker 1>heard many years ago was strong opinions weekly held and

0:18:59.200 --> 0:19:01.360
<v Speaker 1>I've always really enjoyed that. We love this and then

0:19:01.359 --> 0:19:03.680
<v Speaker 1>it breaks the trend and that's it. We're done, right.

0:19:03.840 --> 0:19:07.080
<v Speaker 1>So to be somewhat noncommittal, Um, it does tend to

0:19:07.080 --> 0:19:09.879
<v Speaker 1>help you manage risk. It does. So let's talk a

0:19:09.920 --> 0:19:14.359
<v Speaker 1>little bit about technology. How has the ubiquity of of

0:19:14.400 --> 0:19:20.680
<v Speaker 1>not just computers, but really high powered software on everybody's desktop.

0:19:21.040 --> 0:19:23.800
<v Speaker 1>How has that changed the work you do as a

0:19:23.800 --> 0:19:27.760
<v Speaker 1>as a technician in a very favorable way? Um, you know,

0:19:27.840 --> 0:19:30.680
<v Speaker 1>with my first job out of college was actually hand

0:19:30.720 --> 0:19:34.200
<v Speaker 1>charting these point figure charts that you describe. So, um,

0:19:34.240 --> 0:19:37.120
<v Speaker 1>you know now that we have all these resources to use,

0:19:37.280 --> 0:19:41.280
<v Speaker 1>the upside is it's really unlimited. It's it's exciting, um,

0:19:41.320 --> 0:19:43.200
<v Speaker 1>in that we can do so much more in terms

0:19:43.240 --> 0:19:46.199
<v Speaker 1>of our capacity to not only draw the charts and

0:19:46.280 --> 0:19:49.560
<v Speaker 1>access the charts, but also to filter for different setups

0:19:49.560 --> 0:19:53.360
<v Speaker 1>and look for different price patterns using some advanced software

0:19:53.400 --> 0:19:56.680
<v Speaker 1>that can identify these patterns almost for you. It's really

0:19:56.680 --> 0:19:59.399
<v Speaker 1>amazing what you know people have come up with in

0:19:59.440 --> 0:20:02.560
<v Speaker 1>that regard, and it can be very helpful in terms

0:20:02.600 --> 0:20:05.600
<v Speaker 1>of idea generation. But also you know that the push

0:20:05.640 --> 0:20:09.919
<v Speaker 1>towards AI and more quantitative approaches to the market, they

0:20:10.080 --> 0:20:13.280
<v Speaker 1>tend to have a technical element to them because a

0:20:13.359 --> 0:20:16.240
<v Speaker 1>lot of them are price based. You have that that input,

0:20:16.480 --> 0:20:18.840
<v Speaker 1>and so I think there's a lot of upside there.

0:20:18.840 --> 0:20:22.080
<v Speaker 1>I think it's still somewhat early stages in terms of

0:20:22.160 --> 0:20:24.520
<v Speaker 1>what can be done with it, but certainly, you know,

0:20:24.600 --> 0:20:27.280
<v Speaker 1>anything that you can program, of which a lot of

0:20:27.280 --> 0:20:29.960
<v Speaker 1>indicators are very programmable, I think there's a lot of

0:20:30.000 --> 0:20:34.080
<v Speaker 1>upside there. In the introduction, I mentioned the award you won,

0:20:34.600 --> 0:20:39.600
<v Speaker 1>which is quite an honorific to receive the essentially the

0:20:39.640 --> 0:20:42.920
<v Speaker 1>Technologomist of the Year award. For lack of a better phrase,

0:20:43.119 --> 0:20:45.720
<v Speaker 1>tell us a little about the award and how have

0:20:46.359 --> 0:20:50.280
<v Speaker 1>your institutional clients responded to that. So they the Technical

0:20:50.280 --> 0:20:53.080
<v Speaker 1>Analyst which is a UK based organization. They do an

0:20:53.080 --> 0:20:58.520
<v Speaker 1>annual awards event and ceremony and with more than one category,

0:20:58.640 --> 0:21:01.240
<v Speaker 1>so by no means that my Technical Analysts of the Year.

0:21:01.280 --> 0:21:03.920
<v Speaker 1>But but we do, you know, appreciate the honor of

0:21:04.320 --> 0:21:09.119
<v Speaker 1>being labeled best institutional brokerage for equity research, which of

0:21:09.560 --> 0:21:13.879
<v Speaker 1>course is technical nature. So we um you know, have

0:21:14.000 --> 0:21:17.080
<v Speaker 1>publicized that in different ways, you know, a press release,

0:21:17.160 --> 0:21:20.920
<v Speaker 1>and it's been well received by clients of course, and

0:21:20.920 --> 0:21:23.600
<v Speaker 1>and what their their vote of confidence is in the

0:21:23.640 --> 0:21:27.720
<v Speaker 1>written product that we produce. It's funny that I gave

0:21:27.760 --> 0:21:30.359
<v Speaker 1>your award of promotion. I'm trying to do appreciate it.

0:21:30.440 --> 0:21:33.040
<v Speaker 1>I was I was interviewing somebody and I could not

0:21:33.800 --> 0:21:36.879
<v Speaker 1>keep their title straight in my head. It was one

0:21:36.920 --> 0:21:40.760
<v Speaker 1>of these typically long sort of Wall Street and by

0:21:40.800 --> 0:21:43.240
<v Speaker 1>the time the interview was done, I just had given

0:21:43.320 --> 0:21:45.560
<v Speaker 1>up trying to get their title right. And it was

0:21:45.600 --> 0:21:48.320
<v Speaker 1>just And today we have the CEO of JP Morgan

0:21:48.400 --> 0:21:51.840
<v Speaker 1>and you know, they could see the compliance person in

0:21:52.000 --> 0:21:54.359
<v Speaker 1>booths pulling their hair out of their head. It was

0:21:54.440 --> 0:21:57.080
<v Speaker 1>it was pretty hilarious, but it was a big deal.

0:21:57.240 --> 0:22:00.800
<v Speaker 1>Was the big award that I'm not exaggerating one shorthanded.

0:22:00.960 --> 0:22:04.920
<v Speaker 1>Do you believe we we beat out fifteen other firms

0:22:05.280 --> 0:22:07.879
<v Speaker 1>and UM that's exciting to me. It really is a

0:22:07.920 --> 0:22:11.520
<v Speaker 1>vote of confidence in what we're producing. And they were

0:22:11.560 --> 0:22:15.919
<v Speaker 1>complementary of the research as being you know, timely and actionable.

0:22:16.600 --> 0:22:18.359
<v Speaker 1>Do you got to like that? Right? So so let's

0:22:18.400 --> 0:22:23.639
<v Speaker 1>talk about UM clients today. I tease the segment as

0:22:23.840 --> 0:22:28.200
<v Speaker 1>what modern institutional clients want? What is it that clients

0:22:28.720 --> 0:22:34.120
<v Speaker 1>are looking for from a technical UM research analysts like yourself.

0:22:34.240 --> 0:22:37.160
<v Speaker 1>There's no one answer to that. In fact, every meeting

0:22:37.200 --> 0:22:40.040
<v Speaker 1>that I have tends to be quite different. UM and

0:22:40.080 --> 0:22:42.800
<v Speaker 1>we can add value in a lot of ways. The

0:22:42.840 --> 0:22:45.879
<v Speaker 1>most obvious way, perhaps is by being more of a strategist.

0:22:46.119 --> 0:22:50.480
<v Speaker 1>We're helping people understand the top down market views where

0:22:50.520 --> 0:22:52.760
<v Speaker 1>you know, is the S and P five hundred in

0:22:52.880 --> 0:22:55.560
<v Speaker 1>terms of momentum and over about over sould measures and

0:22:55.960 --> 0:22:58.880
<v Speaker 1>what are levels of importance? Things like that. So some

0:22:59.160 --> 0:23:02.800
<v Speaker 1>clients really want to know that because obviously that top

0:23:02.840 --> 0:23:06.280
<v Speaker 1>down view trickles down into their positions and and there,

0:23:06.280 --> 0:23:09.600
<v Speaker 1>and it's quite important. And you find that, you know,

0:23:09.640 --> 0:23:13.800
<v Speaker 1>even if people disagree, they're often disagreeing for a different reason.

0:23:13.880 --> 0:23:16.600
<v Speaker 1>It's not because they're coming from a technical you know

0:23:17.040 --> 0:23:20.280
<v Speaker 1>position there. It's more macro fundamental that's leading them to disagree.

0:23:20.640 --> 0:23:22.520
<v Speaker 1>So it's not as much of a debate as it

0:23:22.520 --> 0:23:24.840
<v Speaker 1>would be if I was a macro strategist perhaps going

0:23:24.880 --> 0:23:27.240
<v Speaker 1>into an office. So so you put out a written

0:23:27.440 --> 0:23:31.840
<v Speaker 1>research product that gets emailed out weekly, daily, whenever how often,

0:23:32.320 --> 0:23:37.639
<v Speaker 1>and I'm assuming there are some special um topics and

0:23:37.680 --> 0:23:40.840
<v Speaker 1>alerts and different things you cover. When that goes to

0:23:40.920 --> 0:23:44.439
<v Speaker 1>a client, what are the responses? Is it an email

0:23:44.480 --> 0:23:46.800
<v Speaker 1>response back? Here's what I like? Is when I don't like?

0:23:47.320 --> 0:23:49.480
<v Speaker 1>Is it? This is really significant? We need to talk

0:23:49.480 --> 0:23:52.119
<v Speaker 1>about this right away because you hate X, y Z

0:23:52.200 --> 0:23:55.160
<v Speaker 1>and it's our biggest position. How do you get feedback

0:23:55.200 --> 0:23:58.240
<v Speaker 1>from clients? And what are those subsequent conversations? So the

0:23:58.280 --> 0:24:00.359
<v Speaker 1>written product, by no means is that and all of

0:24:00.359 --> 0:24:03.040
<v Speaker 1>what we do, but it's certainly foundational to what we do.

0:24:03.080 --> 0:24:06.000
<v Speaker 1>We published two weekly notes. One is our top down

0:24:06.080 --> 0:24:10.280
<v Speaker 1>view you know, stocks, bonds, commodities, things like that. And

0:24:10.600 --> 0:24:12.159
<v Speaker 1>the other is the bottom up work where we look

0:24:12.200 --> 0:24:15.080
<v Speaker 1>at the individual stocks and you know, help with the

0:24:15.119 --> 0:24:19.199
<v Speaker 1>idea generation, look for breakouts and breakdowns and themes. And

0:24:19.240 --> 0:24:22.280
<v Speaker 1>then we have a daily note to publish some signals

0:24:22.280 --> 0:24:24.800
<v Speaker 1>and some market internal measures we call them, and to

0:24:24.880 --> 0:24:27.640
<v Speaker 1>really manage our call on an intra week basis. So

0:24:28.160 --> 0:24:31.000
<v Speaker 1>we're fairly prolific in terms of what we publish and

0:24:31.000 --> 0:24:34.920
<v Speaker 1>and generally speaking, you know, we'll we'll get questions from

0:24:34.920 --> 0:24:38.760
<v Speaker 1>those reports, whether they're about various securities, you know that

0:24:38.840 --> 0:24:41.600
<v Speaker 1>the individual equities. That would be one thing where people

0:24:41.600 --> 0:24:43.960
<v Speaker 1>would ask about things like crude oil you know today

0:24:44.040 --> 0:24:46.520
<v Speaker 1>of course it would be relevant, you know, for crude oil,

0:24:46.560 --> 0:24:49.280
<v Speaker 1>just because it's been in the news. And so I'll

0:24:49.320 --> 0:24:53.960
<v Speaker 1>get questions on whatever's topical. And and how often do

0:24:54.040 --> 0:24:58.879
<v Speaker 1>you find your views are changing on not just the

0:24:58.880 --> 0:25:03.480
<v Speaker 1>whole market, but sp of accectors or specific regions. How

0:25:03.520 --> 0:25:06.200
<v Speaker 1>frequently do you find yourself saying, gee, we like this

0:25:06.280 --> 0:25:09.680
<v Speaker 1>six months ago, but not so much anymore. I'm very

0:25:09.760 --> 0:25:13.400
<v Speaker 1>fluid in my market views, and I find that when

0:25:13.440 --> 0:25:17.439
<v Speaker 1>something is strongly trending, like the smp F one, you

0:25:17.440 --> 0:25:20.040
<v Speaker 1>don't change your views that much except to manage those

0:25:20.119 --> 0:25:22.480
<v Speaker 1>views from a shorter term perspective to say, well, there's

0:25:22.520 --> 0:25:26.239
<v Speaker 1>some greater risk right now of a pullback, and that

0:25:26.280 --> 0:25:28.800
<v Speaker 1>type of thing can be very added value to people

0:25:28.880 --> 0:25:31.720
<v Speaker 1>that are trying to determine whether to wait or at

0:25:31.760 --> 0:25:34.320
<v Speaker 1>exposure immediately. So we try to manage the views on

0:25:34.359 --> 0:25:37.240
<v Speaker 1>a short term basis, but the longer term views tend

0:25:37.280 --> 0:25:40.120
<v Speaker 1>to be pretty sticky. Where they're a little bit less

0:25:40.119 --> 0:25:42.119
<v Speaker 1>stick you would be when you have a range bound

0:25:42.200 --> 0:25:45.560
<v Speaker 1>type of situation, So a break out right like a

0:25:45.600 --> 0:25:48.680
<v Speaker 1>non trending market, So the euro would be a great

0:25:48.680 --> 0:25:51.719
<v Speaker 1>example of one that had been non trending really for

0:25:51.840 --> 0:25:54.240
<v Speaker 1>a couple of years until recently we had a break

0:25:54.280 --> 0:25:57.199
<v Speaker 1>out in the euro and that then becomes more of

0:25:57.200 --> 0:26:00.440
<v Speaker 1>a trending situation and probably for that reason, will will

0:26:00.520 --> 0:26:03.119
<v Speaker 1>stay more sticky in our views. So let's talk a

0:26:03.119 --> 0:26:05.840
<v Speaker 1>little bit about currency, since since you brought that up,

0:26:06.240 --> 0:26:09.320
<v Speaker 1>we've seen a very strong dollar and and for those

0:26:09.359 --> 0:26:12.120
<v Speaker 1>people listening to this far off in the future, here

0:26:12.200 --> 0:26:17.080
<v Speaker 1>we are. It's the summer of um. As we're recording this,

0:26:17.280 --> 0:26:20.280
<v Speaker 1>the down in the SMP are making fresh all time

0:26:20.359 --> 0:26:23.359
<v Speaker 1>highs that was up about one twenty and it is

0:26:23.400 --> 0:26:27.840
<v Speaker 1>not all that far away from two um. And we

0:26:27.960 --> 0:26:31.880
<v Speaker 1>had a fairly substantial rally in the dollar pretty much

0:26:31.960 --> 0:26:36.240
<v Speaker 1>up till the end of is the euros gained the

0:26:36.359 --> 0:26:39.120
<v Speaker 1>dollars loss. How do you look at currency is relative

0:26:39.119 --> 0:26:41.520
<v Speaker 1>to each other and what does that mean for the

0:26:41.600 --> 0:26:44.840
<v Speaker 1>local economies there and here? Yeah, And I mean I'm

0:26:44.920 --> 0:26:48.159
<v Speaker 1>not wanting to comment on on the macro influences of

0:26:48.240 --> 0:26:50.640
<v Speaker 1>the f X moves. The way I look at it

0:26:50.720 --> 0:26:55.200
<v Speaker 1>is as the Dollar index, which is really massively euro centered.

0:26:55.720 --> 0:26:57.680
<v Speaker 1>You know, the dollar index had seen such a nice

0:26:57.760 --> 0:26:59.800
<v Speaker 1>round up, as you mentioned, but really in the last

0:27:00.119 --> 0:27:05.399
<v Speaker 1>months has just been in this persistent down trend and

0:27:05.480 --> 0:27:10.199
<v Speaker 1>it's been Yeah, it's really pretty big drop and and

0:27:10.320 --> 0:27:13.760
<v Speaker 1>almost um, you know, barely interrupted by relief rallies. So

0:27:13.800 --> 0:27:16.800
<v Speaker 1>it's really been a persistent drop and sort of differentiates

0:27:16.840 --> 0:27:19.199
<v Speaker 1>itself because of that. And I think when you have

0:27:19.240 --> 0:27:21.480
<v Speaker 1>a trend like that, you just want to be respectful

0:27:21.600 --> 0:27:23.720
<v Speaker 1>of it. When you look at the euro, it's not

0:27:23.800 --> 0:27:26.880
<v Speaker 1>an exact inverse, but it's certainly close to it. Um.

0:27:26.960 --> 0:27:29.359
<v Speaker 1>You know, if you look at EU r USC, you

0:27:29.440 --> 0:27:32.760
<v Speaker 1>see this breakout that I mentioned from the wide trading range,

0:27:33.119 --> 0:27:35.320
<v Speaker 1>and that breakout just simply based on the width of

0:27:35.400 --> 0:27:39.440
<v Speaker 1>the range would target about without any indication of the

0:27:39.480 --> 0:27:41.440
<v Speaker 1>time frame over which that would happen. But you know,

0:27:41.560 --> 0:27:45.200
<v Speaker 1>longer term meaning more euro strength, more dollar, more dollar weakness,

0:27:45.240 --> 0:27:49.359
<v Speaker 1>and we've gotten some underperformance from European equities and and

0:27:49.600 --> 0:27:53.159
<v Speaker 1>out performance from US equities. But I think that shift

0:27:53.240 --> 0:27:56.679
<v Speaker 1>is is maybe less currency related and more related to

0:27:57.200 --> 0:28:01.840
<v Speaker 1>other macro influences and certainly whether or not those markets

0:28:01.880 --> 0:28:05.280
<v Speaker 1>are oversold on a relative basis. So I want to say,

0:28:05.400 --> 0:28:09.240
<v Speaker 1>for the past decade, the US is up something like

0:28:09.280 --> 0:28:15.000
<v Speaker 1>two D seventy and Europe is up eleven, and e

0:28:15.200 --> 0:28:19.119
<v Speaker 1>M is essentially flat. Maybe getting those numbers. Yeah, you know,

0:28:19.320 --> 0:28:23.639
<v Speaker 1>it's been amazing the long term relative strength ratios, you

0:28:23.680 --> 0:28:27.720
<v Speaker 1>know e M versus developed or e M versus US.

0:28:27.720 --> 0:28:30.720
<v Speaker 1>But finally, in the past i'd say years, so you've

0:28:30.720 --> 0:28:35.320
<v Speaker 1>really seen stabilization um in terms of relative performance globally.

0:28:35.600 --> 0:28:37.600
<v Speaker 1>And maybe that's because it is so much more of

0:28:37.600 --> 0:28:41.160
<v Speaker 1>a global marketplace, or maybe it's just because finally these

0:28:41.200 --> 0:28:44.600
<v Speaker 1>markets are are participating and you know, their economies are

0:28:44.640 --> 0:28:48.640
<v Speaker 1>looking better. Whatever the driving forests, it certainly has manifested

0:28:48.680 --> 0:28:52.040
<v Speaker 1>itself in some turnarounds in the ratios. So we're talking

0:28:52.080 --> 0:28:54.760
<v Speaker 1>about currencies, Let's talk a little bit about something that

0:28:54.880 --> 0:28:59.480
<v Speaker 1>I think a lot of people find um challenging or perplexing.

0:29:00.480 --> 0:29:04.520
<v Speaker 1>How do you track on a chart the various blockchain

0:29:04.600 --> 0:29:08.520
<v Speaker 1>currencies like bitcoin. These things all look like they've just

0:29:08.600 --> 0:29:11.920
<v Speaker 1>become completely unhinged. How do you buy into something like

0:29:11.960 --> 0:29:16.080
<v Speaker 1>that that's had such a explosive move to the upside,

0:29:16.760 --> 0:29:19.040
<v Speaker 1>you know, I call it a parabolic up trend. When

0:29:19.040 --> 0:29:22.360
<v Speaker 1>you see those, and they are very difficult to find

0:29:22.480 --> 0:29:26.040
<v Speaker 1>entries that you can feel confident in adding exposure. I

0:29:26.080 --> 0:29:28.920
<v Speaker 1>do think the charts are very viable ways to analyze

0:29:28.960 --> 0:29:33.120
<v Speaker 1>these currencies because you know, otherwise information is somewhat limited,

0:29:33.440 --> 0:29:36.480
<v Speaker 1>So so you can really identify trends, and they're certainly

0:29:36.520 --> 0:29:39.920
<v Speaker 1>trend dean. And then in order to take advantage of them,

0:29:39.960 --> 0:29:43.040
<v Speaker 1>I think you need to have confidence in buying breakouts.

0:29:43.040 --> 0:29:45.640
<v Speaker 1>So if you actually see a fresh catalyst on the

0:29:45.720 --> 0:29:49.120
<v Speaker 1>charts where you're exceeding a resistance level, then you have

0:29:49.200 --> 0:29:52.720
<v Speaker 1>to have confidence in in buying higher and it's it's

0:29:52.760 --> 0:29:54.680
<v Speaker 1>often the right thing to do, quite frankly, when these

0:29:54.680 --> 0:29:58.560
<v Speaker 1>trends are in motion. So with with the parabolic trends,

0:29:58.600 --> 0:30:00.640
<v Speaker 1>I tend to watch some of the more sensitive or

0:30:00.960 --> 0:30:04.720
<v Speaker 1>shorter term moving averages, and when they flatten, I tend

0:30:04.760 --> 0:30:08.520
<v Speaker 1>to recommend taking down partial exposure. For example, the twenty

0:30:08.600 --> 0:30:11.160
<v Speaker 1>day moving average would be quite short term, but when

0:30:11.160 --> 0:30:13.680
<v Speaker 1>you're in this parabolic up move that's quite steep and

0:30:13.720 --> 0:30:16.160
<v Speaker 1>you see the twenty d flatten, which often happens before

0:30:16.200 --> 0:30:19.120
<v Speaker 1>you get a really meaningful pullback, I think that can

0:30:19.160 --> 0:30:22.440
<v Speaker 1>be a good mechanism I guess to take down exposure.

0:30:23.000 --> 0:30:26.440
<v Speaker 1>We have been speaking with Katie Stockton, chief technical strategist

0:30:26.480 --> 0:30:29.280
<v Speaker 1>at b t i G. Check out my daily column

0:30:29.320 --> 0:30:31.640
<v Speaker 1>on Bloomberg View dot com. You can follow me on

0:30:31.680 --> 0:30:35.600
<v Speaker 1>Twitter at rid Halts. We love your comments, feedback and

0:30:35.680 --> 0:30:40.720
<v Speaker 1>suggestions right to us at m IB podcast at Bloomberg

0:30:40.760 --> 0:30:44.200
<v Speaker 1>dot net. I'm Barry Ridhults. You've been listening to Masters

0:30:44.200 --> 0:31:03.600
<v Speaker 1>in Business on Bloomberg Radio. Welcome to the podcast. Thank

0:31:03.640 --> 0:31:06.160
<v Speaker 1>you Katie so much for doing this. And I don't

0:31:06.160 --> 0:31:08.680
<v Speaker 1>know if you remember where we first met, but I

0:31:08.720 --> 0:31:12.200
<v Speaker 1>want to say, who's at camp Ko talk. It may

0:31:12.240 --> 0:31:14.600
<v Speaker 1>have been I feel like we may go back further

0:31:14.680 --> 0:31:17.240
<v Speaker 1>than that, but that was a great place. We do

0:31:17.360 --> 0:31:20.560
<v Speaker 1>go back for it because I know who introduced us.

0:31:20.720 --> 0:31:24.200
<v Speaker 1>It was Kevin Lane, that's right, who is a technician

0:31:24.360 --> 0:31:29.280
<v Speaker 1>who runs uh b D in a research shop. And

0:31:29.720 --> 0:31:34.680
<v Speaker 1>Kevin was at I want to call it technamentals secnamentals. Yeah,

0:31:34.800 --> 0:31:39.080
<v Speaker 1>it's got to be euands sounds about right, That's yeah,

0:31:39.120 --> 0:31:43.720
<v Speaker 1>that's the technicians. We run a these small circles all

0:31:43.760 --> 0:31:46.000
<v Speaker 1>know each other, I feel like, so I can't tell

0:31:46.040 --> 0:31:49.360
<v Speaker 1>you how many people I know who took the class

0:31:49.360 --> 0:31:54.040
<v Speaker 1>with Ralph Atripora or other people at the I don't

0:31:54.040 --> 0:31:55.800
<v Speaker 1>know what they're calling it now. They just did a

0:31:55.840 --> 0:32:05.000
<v Speaker 1>big name change because it's now the the CMT Association

0:32:05.200 --> 0:32:10.080
<v Speaker 1>Association used to be the that's right, So they've changed

0:32:10.120 --> 0:32:12.360
<v Speaker 1>the name, which is a bit more aligned with the

0:32:12.440 --> 0:32:17.720
<v Speaker 1>cf A societies. CMT, which is Chartered Market Technician, has

0:32:17.760 --> 0:32:20.560
<v Speaker 1>really grown as a designation, and for me it's been

0:32:20.600 --> 0:32:23.840
<v Speaker 1>invaluable in my career because you know, it's a credentializes

0:32:23.920 --> 0:32:28.280
<v Speaker 1>you right to publish this research, but also in preparing

0:32:28.400 --> 0:32:30.680
<v Speaker 1>for that, you know, you you do learn a lot

0:32:30.720 --> 0:32:35.000
<v Speaker 1>of tools and other disciplines that might be interesting, and

0:32:35.040 --> 0:32:38.120
<v Speaker 1>so it helps expand your horizons A little bit, and

0:32:38.160 --> 0:32:41.280
<v Speaker 1>you've you've become a regular on the on the media

0:32:41.360 --> 0:32:47.200
<v Speaker 1>circuit talking about various market sectors. I notice you're much

0:32:47.240 --> 0:32:51.800
<v Speaker 1>more circumspect in the way you discuss markets then some

0:32:51.840 --> 0:32:55.440
<v Speaker 1>technicians are. Some technicians want to get right into the

0:32:55.960 --> 0:32:57.600
<v Speaker 1>As you can see from this chart, it's a head

0:32:57.600 --> 0:33:01.080
<v Speaker 1>and shoulders. It's this. It's that you really talk more

0:33:01.120 --> 0:33:03.840
<v Speaker 1>in a way that a lay person can appreciate what

0:33:03.880 --> 0:33:07.000
<v Speaker 1>you're saying, as opposed to getting into the weeds with

0:33:07.080 --> 0:33:10.200
<v Speaker 1>some of the more esoteric right. And I mean that

0:33:10.320 --> 0:33:12.480
<v Speaker 1>is going on behind the scenes, by the way. So

0:33:12.520 --> 0:33:15.959
<v Speaker 1>I am taking the fibid ACHIESE and the Demark indicators

0:33:15.960 --> 0:33:18.680
<v Speaker 1>and applying them to the ratios, and that all goes

0:33:18.720 --> 0:33:22.480
<v Speaker 1>into the analysis. But I don't do anybody any favors

0:33:22.520 --> 0:33:25.520
<v Speaker 1>by getting too in the weeds with those indicators. But rather,

0:33:26.120 --> 0:33:29.280
<v Speaker 1>you know, explain my discipline and and then you know,

0:33:29.360 --> 0:33:32.120
<v Speaker 1>explain the takeaways in a way that people can understand them.

0:33:32.160 --> 0:33:37.120
<v Speaker 1>So demark is really fascinating. Um set of technicals. I

0:33:37.200 --> 0:33:41.880
<v Speaker 1>don't know how they work. They're they're really quite woman

0:33:41.920 --> 0:33:45.920
<v Speaker 1>explaining that what our demark indicators and how do they work?

0:33:46.000 --> 0:33:48.600
<v Speaker 1>You know, there there's so many of them, and I

0:33:48.680 --> 0:33:51.560
<v Speaker 1>honestly only scratch the surface with the Demark indicators that

0:33:51.600 --> 0:33:55.160
<v Speaker 1>are available to us. I know, it's a it's an

0:33:55.200 --> 0:33:58.200
<v Speaker 1>option on the Bloomer. You can add it. They have

0:33:58.320 --> 0:34:00.880
<v Speaker 1>a right, they have a service on the Bloomberg terminal,

0:34:00.920 --> 0:34:04.360
<v Speaker 1>which I do use and use it quite a lot actually,

0:34:04.800 --> 0:34:07.080
<v Speaker 1>And to me, you know, I find value in the

0:34:07.120 --> 0:34:11.400
<v Speaker 1>indicators that they provide um in identifying inflection points. And

0:34:11.400 --> 0:34:13.759
<v Speaker 1>it's the closest thing that I have to something that's

0:34:13.800 --> 0:34:17.400
<v Speaker 1>a coincident indicator of inflections. And as you could imagine,

0:34:17.440 --> 0:34:20.680
<v Speaker 1>most technical indicators tend to have a lag them because

0:34:20.680 --> 0:34:23.319
<v Speaker 1>they're moving average base, so it's just inherent that they

0:34:23.320 --> 0:34:26.440
<v Speaker 1>have that lag. But there's something about the demark indicators,

0:34:26.440 --> 0:34:28.600
<v Speaker 1>and at least the ones that I use in their construction,

0:34:29.120 --> 0:34:31.120
<v Speaker 1>that can get us a bit closer to the actual

0:34:31.160 --> 0:34:34.840
<v Speaker 1>inflection point. Now, Unfortunately, like any indicator, because there is

0:34:34.880 --> 0:34:37.320
<v Speaker 1>no you know, at one all or you know, holy Grail,

0:34:37.920 --> 0:34:41.200
<v Speaker 1>we have to cross reference the demark indicators with other tools,

0:34:41.520 --> 0:34:44.759
<v Speaker 1>whether it's the stochastics which will also give you sort

0:34:44.800 --> 0:34:48.680
<v Speaker 1>of an overbought over sold reading, or or momentum based tools.

0:34:49.200 --> 0:34:52.080
<v Speaker 1>Those taken together can give you the best takeaway. And

0:34:52.160 --> 0:34:54.960
<v Speaker 1>so we don't take every signal for face value, but

0:34:55.080 --> 0:34:57.359
<v Speaker 1>rather say, okay, what are the probabilities here based on

0:34:57.440 --> 0:35:00.359
<v Speaker 1>what everything else is saying? So what are what are

0:35:00.400 --> 0:35:04.160
<v Speaker 1>some of your go to indicator? What if you had

0:35:04.200 --> 0:35:06.319
<v Speaker 1>to say, this is where I begin, this is my

0:35:06.400 --> 0:35:08.600
<v Speaker 1>most important I'm going to guess it's going to be

0:35:08.640 --> 0:35:11.640
<v Speaker 1>trend because you've emphasized that so many times. Yeah, it

0:35:11.760 --> 0:35:14.719
<v Speaker 1>is trend, especially in a trending tape. So I would

0:35:14.760 --> 0:35:16.960
<v Speaker 1>say in a non trending tape, which of course there's

0:35:17.000 --> 0:35:20.640
<v Speaker 1>an art and identifying what kind of environment you're in, um,

0:35:20.840 --> 0:35:23.960
<v Speaker 1>I'll use more of the overbought over souled measures sometimes,

0:35:24.239 --> 0:35:26.600
<v Speaker 1>you know, it depends on the timeframe as well, So

0:35:26.719 --> 0:35:31.160
<v Speaker 1>theoretically every indicator should apply over every time frame, almost

0:35:31.200 --> 0:35:33.799
<v Speaker 1>fractal in that way. And yet I found in my

0:35:33.880 --> 0:35:37.160
<v Speaker 1>experience that that I get more use from the OSCI

0:35:37.200 --> 0:35:40.960
<v Speaker 1>leaders in you know, short term, you know environment. So

0:35:41.080 --> 0:35:43.120
<v Speaker 1>looking at say the intra day charts, looking at a

0:35:43.120 --> 0:35:46.080
<v Speaker 1>thirty minute bar chart, oft the SMP futures, I'm actually

0:35:46.120 --> 0:35:48.799
<v Speaker 1>more inclined to use an overboard over sould measure than

0:35:48.840 --> 0:35:51.560
<v Speaker 1>a trend following device. It's just a matter of preference,

0:35:51.880 --> 0:35:54.319
<v Speaker 1>sort of like a trading tool. But I would say

0:35:54.360 --> 0:35:56.160
<v Speaker 1>if I had to take my one indicator to the

0:35:56.200 --> 0:35:59.160
<v Speaker 1>deserted island, would probably be the mac D indicator, which

0:35:59.200 --> 0:36:03.440
<v Speaker 1>stands for moving average convergence divergence, and that has been

0:36:03.480 --> 0:36:07.280
<v Speaker 1>a really helpful trend fall engage. It's very price range.

0:36:07.520 --> 0:36:09.440
<v Speaker 1>It's not an envelope as much as it is it's

0:36:09.480 --> 0:36:12.600
<v Speaker 1>a spread between two moving averages. And and what's nice

0:36:12.600 --> 0:36:14.799
<v Speaker 1>about it, it has a signal line, so it has

0:36:14.800 --> 0:36:17.399
<v Speaker 1>a smooth version of the data itself that gives you

0:36:17.800 --> 0:36:20.400
<v Speaker 1>distinct buy and sell signals and there and you know,

0:36:20.440 --> 0:36:22.360
<v Speaker 1>it takes out some of that gray area, right, So

0:36:22.400 --> 0:36:24.200
<v Speaker 1>it's either on a buy or a cell signal, And

0:36:24.239 --> 0:36:26.800
<v Speaker 1>of course there's nuances to it, but to me to

0:36:27.120 --> 0:36:29.600
<v Speaker 1>to try to capture those let's call it two to

0:36:29.680 --> 0:36:32.759
<v Speaker 1>three month moves, which I think really is where we

0:36:32.800 --> 0:36:35.080
<v Speaker 1>are in the market right now, especially in equities that

0:36:35.520 --> 0:36:37.920
<v Speaker 1>you can't afford to miss o's anymore. You know, used

0:36:37.960 --> 0:36:40.040
<v Speaker 1>to be you said it and forget it and ride

0:36:40.040 --> 0:36:42.640
<v Speaker 1>the long term trend. But quite frankly, now you know

0:36:42.680 --> 0:36:45.719
<v Speaker 1>there's such a guess pressure on people to perform on

0:36:45.719 --> 0:36:48.400
<v Speaker 1>a quarterly or even monthly basis these days that they

0:36:48.440 --> 0:36:52.040
<v Speaker 1>really need to capture these moves and the weekly MACDI indicators.

0:36:52.040 --> 0:36:53.960
<v Speaker 1>So looking at it macdie and a weekly bar chart

0:36:53.960 --> 0:36:56.480
<v Speaker 1>can be really a great tool for that. So you

0:36:56.520 --> 0:37:00.520
<v Speaker 1>mentioned when you're in a non trending market, when you're

0:37:00.520 --> 0:37:04.080
<v Speaker 1>in a range bound market until this last leg began,

0:37:04.120 --> 0:37:06.239
<v Speaker 1>and I want to say, sometime towards the end of

0:37:06.280 --> 0:37:09.440
<v Speaker 1>the summer last year, what was it eighteen months or

0:37:09.440 --> 0:37:11.879
<v Speaker 1>twenty four months of not a whole lot of progress.

0:37:12.719 --> 0:37:15.520
<v Speaker 1>What were you looking at during that period when we

0:37:15.520 --> 0:37:18.480
<v Speaker 1>were range bound and what told you, hey, we're breaking

0:37:18.480 --> 0:37:21.120
<v Speaker 1>out of this range? What was what was the big

0:37:21.160 --> 0:37:23.880
<v Speaker 1>signal there? You know that in terms of what I

0:37:23.920 --> 0:37:26.120
<v Speaker 1>was looking at it, you know that that period that,

0:37:26.239 --> 0:37:31.959
<v Speaker 1>by the way, is that I want to say mostly yeah,

0:37:32.200 --> 0:37:35.200
<v Speaker 1>I guess really at the end of two fifteen, it

0:37:35.280 --> 0:37:37.600
<v Speaker 1>was still you know, it was it was morphine into

0:37:37.640 --> 0:37:40.200
<v Speaker 1>that sort of range bound tape. But what was range

0:37:40.239 --> 0:37:42.440
<v Speaker 1>bound here in the US was actually much more of

0:37:42.480 --> 0:37:46.280
<v Speaker 1>a correction in international market. So if you looked at Japan,

0:37:46.400 --> 0:37:49.000
<v Speaker 1>or if you looked at European benchmarks, you'll see that

0:37:49.040 --> 0:37:52.800
<v Speaker 1>they really saw a pronounced corrective phase. And what captured

0:37:52.840 --> 0:37:55.440
<v Speaker 1>that was not the MACD indicators so much on the

0:37:55.480 --> 0:37:57.880
<v Speaker 1>weeklies because that was a bit noisy. But if you

0:37:57.880 --> 0:38:01.360
<v Speaker 1>looked on the monthlies, you actually saw a macde cell

0:38:01.400 --> 0:38:03.759
<v Speaker 1>signal in the monthly bar chart at the SMP five

0:38:04.120 --> 0:38:06.440
<v Speaker 1>D I believe it was oh gosh, I want to

0:38:06.480 --> 0:38:09.400
<v Speaker 1>say February two fifteen, So it got ahead of that

0:38:09.520 --> 0:38:12.960
<v Speaker 1>environment which created was, you know, a more challenging environment

0:38:13.000 --> 0:38:16.759
<v Speaker 1>for trend following. So with that macdi cell signal that

0:38:16.840 --> 0:38:18.960
<v Speaker 1>we had um, we were able to give a bit

0:38:19.000 --> 0:38:21.719
<v Speaker 1>more weight to the over Bodom SOULD measures knowing that

0:38:21.760 --> 0:38:24.640
<v Speaker 1>we were in some kind of corrective period. Um. In

0:38:24.719 --> 0:38:27.040
<v Speaker 1>addition to that, what we found in two thousand and

0:38:27.120 --> 0:38:30.560
<v Speaker 1>sixteen especially it was the year of the climactic lows,

0:38:30.640 --> 0:38:32.879
<v Speaker 1>right we saw at the February low of that year,

0:38:33.320 --> 0:38:36.239
<v Speaker 1>the Brexit low, and then the election low. All of

0:38:36.280 --> 0:38:39.359
<v Speaker 1>these were really climactic, and by that I mean the

0:38:39.400 --> 0:38:42.560
<v Speaker 1>emotions were really running high. You've got these massive declines

0:38:43.120 --> 0:38:46.279
<v Speaker 1>that almost by traditional methods would have looked like breakdowns

0:38:46.280 --> 0:38:49.120
<v Speaker 1>on the charts. But we have some tools called market

0:38:49.160 --> 0:38:53.040
<v Speaker 1>internal measures, which would be volume breath leadership and sentiment

0:38:53.280 --> 0:38:57.000
<v Speaker 1>that can help us identify these climaxes as they're underway.

0:38:57.080 --> 0:39:00.000
<v Speaker 1>So volume, you know, to circle back in the converse

0:39:00.000 --> 0:39:02.799
<v Speaker 1>station to volume. I do look at it on an

0:39:02.840 --> 0:39:05.680
<v Speaker 1>aggregate basis, and when it tends to spike is when

0:39:05.719 --> 0:39:09.040
<v Speaker 1>it actually holds information, because that's more emotionally charged trading

0:39:09.120 --> 0:39:12.480
<v Speaker 1>to change. Not necessarily the base rate that matters, that's right,

0:39:12.480 --> 0:39:14.319
<v Speaker 1>So it's not even the level. I'm just looking for

0:39:14.440 --> 0:39:18.320
<v Speaker 1>spikes and the market internal measures that I mentioned, those

0:39:18.440 --> 0:39:22.520
<v Speaker 1>really are to me the most informational win they're at extremes. Otherwise,

0:39:23.680 --> 0:39:26.040
<v Speaker 1>what are you looking at? Internal advancers and decliners would

0:39:26.040 --> 0:39:28.440
<v Speaker 1>certainly be a breath measure that I look at. I

0:39:28.480 --> 0:39:30.520
<v Speaker 1>look at them on a cumulative basis and also an

0:39:30.560 --> 0:39:33.200
<v Speaker 1>oscillating basis, and you know, things like the percentage of

0:39:33.239 --> 0:39:37.160
<v Speaker 1>stocks above their fifty day moving averages and and sentiment.

0:39:37.200 --> 0:39:39.919
<v Speaker 1>I tend to look at the VIX, but I'd say

0:39:39.920 --> 0:39:42.200
<v Speaker 1>even more so, I look at something called the CNN

0:39:42.280 --> 0:39:45.520
<v Speaker 1>Fear and Greed Index, which incorporates the VIX, but also

0:39:45.640 --> 0:39:49.000
<v Speaker 1>put call ratios and junk bond demand, things that are

0:39:49.040 --> 0:39:52.680
<v Speaker 1>transactionally base gages of sentiments. So I tend to find

0:39:52.680 --> 0:39:54.520
<v Speaker 1>a lot of value in that and right now we're

0:39:54.520 --> 0:39:58.520
<v Speaker 1>actually seeing an extreme in that in that sentiment measure.

0:39:59.000 --> 0:40:01.520
<v Speaker 1>Now in terms of that environment, um you know, we

0:40:01.560 --> 0:40:05.680
<v Speaker 1>did see some major oversold extremes in these market internals

0:40:05.719 --> 0:40:09.000
<v Speaker 1>at those lows that made them appear more treatable. Now

0:40:09.000 --> 0:40:12.280
<v Speaker 1>with the breakout, it's really when we saw the SMP

0:40:12.360 --> 0:40:16.279
<v Speaker 1>exceed resistance based on previous highs, that we could get

0:40:16.280 --> 0:40:19.239
<v Speaker 1>confident that that I was ready to run again. So

0:40:19.480 --> 0:40:22.839
<v Speaker 1>when was that? I remember the breakout and we've talked

0:40:22.840 --> 0:40:26.479
<v Speaker 1>about this in the past, was a big, fresh old

0:40:26.480 --> 0:40:31.080
<v Speaker 1>time high's first time in thirteen years, but um or

0:40:31.200 --> 0:40:35.240
<v Speaker 1>or above levels previously set in oh seven and two thousand.

0:40:35.600 --> 0:40:40.399
<v Speaker 1>But what was the breakout in was about I'd say

0:40:40.480 --> 0:40:43.319
<v Speaker 1>July of two thousand sixteen is when we broke out.

0:40:43.480 --> 0:40:45.319
<v Speaker 1>You know, that was on back of the Brexit low.

0:40:45.800 --> 0:40:49.640
<v Speaker 1>And that breakout yielded a measured move price projection, which

0:40:49.719 --> 0:40:52.640
<v Speaker 1>is a very common way of driving an upside target

0:40:52.680 --> 0:40:55.400
<v Speaker 1>when you don't really have resistance to use, and that

0:40:55.480 --> 0:40:57.840
<v Speaker 1>gave us a target of that at that time of

0:40:57.840 --> 0:41:02.640
<v Speaker 1>about dred which we reached of course, or the SMP

0:41:02.680 --> 0:41:05.879
<v Speaker 1>five reached in I think it was Q two and

0:41:06.080 --> 0:41:08.160
<v Speaker 1>we met some resistance there, which is also a very

0:41:08.239 --> 0:41:11.759
<v Speaker 1>natural occurrence. Now that we've seen a subsequent breakout above

0:41:11.840 --> 0:41:14.719
<v Speaker 1>that level, we were able to reassign another measured move

0:41:14.760 --> 0:41:18.920
<v Speaker 1>price projection in this case of about Oh really, and

0:41:19.080 --> 0:41:22.359
<v Speaker 1>right now we're still about thirty points away points away

0:41:22.400 --> 0:41:28.960
<v Speaker 1>from twenty were approaching, and I think, you know, it

0:41:29.000 --> 0:41:32.200
<v Speaker 1>won't be a straight path higher up to but I

0:41:32.239 --> 0:41:35.640
<v Speaker 1>think it's a viable target based on the trajectory of

0:41:35.680 --> 0:41:39.120
<v Speaker 1>the trend, and so that's a context within which we

0:41:39.239 --> 0:41:42.640
<v Speaker 1>view everything else. So you mentioned the VIX, We should

0:41:42.719 --> 0:41:49.280
<v Speaker 1>really talk about it because it's pretty much at record lows. UM.

0:41:49.320 --> 0:41:53.120
<v Speaker 1>The argument seems to go something like, the VIX is

0:41:53.160 --> 0:41:57.759
<v Speaker 1>showing terrible complacency and this all ends badly versus Hey,

0:41:57.800 --> 0:42:00.600
<v Speaker 1>the early nineties, the VIX was in the routines and

0:42:00.719 --> 0:42:03.640
<v Speaker 1>stayed there for years, and you still have another seven

0:42:03.719 --> 0:42:06.799
<v Speaker 1>years of well market to go. How do you look

0:42:06.840 --> 0:42:08.480
<v Speaker 1>at the VIX. What do you think it means? Well,

0:42:08.480 --> 0:42:10.759
<v Speaker 1>what I don't look at it um probably in the

0:42:10.800 --> 0:42:13.640
<v Speaker 1>same way as a derivatives trader might, for example, but

0:42:13.800 --> 0:42:16.880
<v Speaker 1>rather as a gauge of sentiment and something that tends

0:42:16.880 --> 0:42:19.560
<v Speaker 1>to have an inverse relationship to the SMP five hundred,

0:42:19.680 --> 0:42:23.440
<v Speaker 1>so in that since it can hold some information, however,

0:42:23.520 --> 0:42:27.520
<v Speaker 1>I care most about when it spikes, and it's it's

0:42:27.600 --> 0:42:31.000
<v Speaker 1>difficult to identify when that might occur. We do have

0:42:31.040 --> 0:42:34.000
<v Speaker 1>some tools that can assist in that, you know, overbought over,

0:42:34.040 --> 0:42:36.799
<v Speaker 1>SOULD measures, things like that. But the way I see

0:42:36.800 --> 0:42:39.759
<v Speaker 1>the VIX is just as one gauge of sentiment, and

0:42:39.800 --> 0:42:41.920
<v Speaker 1>what we've had to do with the the fact that

0:42:41.920 --> 0:42:45.320
<v Speaker 1>it keeps making new loads, is to reset our extreme

0:42:46.040 --> 0:42:50.040
<v Speaker 1>levels or thresholds for that overly complacent reading, which I

0:42:50.040 --> 0:42:53.880
<v Speaker 1>would argue now it is there so spikes to twelve,

0:42:54.760 --> 0:42:57.600
<v Speaker 1>which is like a big percentage move from where it is.

0:42:58.040 --> 0:43:01.760
<v Speaker 1>But twelve or even fifteen is so low for the VIX.

0:43:02.360 --> 0:43:05.279
<v Speaker 1>What what might thought tell us? Well, you know, for me,

0:43:05.320 --> 0:43:07.240
<v Speaker 1>if if we see it, you know, spike to twelve,

0:43:07.280 --> 0:43:09.160
<v Speaker 1>my guess is that we're getting a pull back to

0:43:09.160 --> 0:43:11.239
<v Speaker 1>at least the fifty day moving average and the SMP

0:43:11.360 --> 0:43:13.640
<v Speaker 1>five It wouldn't take much to get the VIX to

0:43:13.680 --> 0:43:17.120
<v Speaker 1>that level. The spikes tend to last maybe two weeks

0:43:17.120 --> 0:43:20.759
<v Speaker 1>in duration at most, so you have to be very

0:43:20.840 --> 0:43:22.640
<v Speaker 1>quick to act on it when you start to see

0:43:22.680 --> 0:43:25.399
<v Speaker 1>it maybe inch above its twenty day or fifty day

0:43:25.400 --> 0:43:27.719
<v Speaker 1>moving average of its own. It is not really a

0:43:27.760 --> 0:43:32.440
<v Speaker 1>trending index, so we have to be careful using tools

0:43:32.480 --> 0:43:36.800
<v Speaker 1>like moving averages and and you know, identifying levels because

0:43:36.840 --> 0:43:40.000
<v Speaker 1>maybe they're less important. What what are your thoughts about

0:43:40.080 --> 0:43:44.040
<v Speaker 1>the argument that some have made that well, so many

0:43:44.080 --> 0:43:49.359
<v Speaker 1>people have moved from stock picking and active management too.

0:43:50.239 --> 0:43:52.960
<v Speaker 1>You have five trillion a black Rock and four trillion

0:43:53.160 --> 0:43:56.800
<v Speaker 1>at Vanguard. I think Vanguard is now four point four trillion,

0:43:57.640 --> 0:44:02.759
<v Speaker 1>of which two thirds at Vanguard is passive, and um

0:44:03.080 --> 0:44:05.360
<v Speaker 1>I think once it gets half at black Rock is passive,

0:44:05.680 --> 0:44:09.520
<v Speaker 1>that's trillions of dollars that used to be actively in

0:44:09.560 --> 0:44:12.120
<v Speaker 1>the market. What does it mean that so much money

0:44:12.520 --> 0:44:16.960
<v Speaker 1>is now passively allocated? What what might that mean to

0:44:16.960 --> 0:44:19.719
<v Speaker 1>the VIX, if anything at all? You know, I'm not

0:44:19.760 --> 0:44:22.640
<v Speaker 1>sure how it would affect the VEX, except to say that,

0:44:22.680 --> 0:44:25.319
<v Speaker 1>you know, it should contribute to the trending nature of

0:44:25.360 --> 0:44:27.960
<v Speaker 1>the tape and there and also would see the VIX

0:44:28.000 --> 0:44:31.359
<v Speaker 1>sort of, you know, flounder at low levels as as

0:44:31.400 --> 0:44:34.920
<v Speaker 1>the major indices forged higher, and whether it's passively or

0:44:34.960 --> 0:44:37.880
<v Speaker 1>actively driven at the end of the day, and we

0:44:37.960 --> 0:44:39.960
<v Speaker 1>want to just be on the right side of the

0:44:40.000 --> 0:44:43.440
<v Speaker 1>moving averages and of the momentum behind the market, regardless

0:44:43.480 --> 0:44:46.759
<v Speaker 1>of what those momentum forces maybe, And so you know,

0:44:46.800 --> 0:44:50.360
<v Speaker 1>our goal is to understand when the loss of momentum

0:44:50.440 --> 0:44:52.520
<v Speaker 1>is great enough to lead to a shift in in

0:44:52.560 --> 0:44:56.080
<v Speaker 1>that trend that we need to take action around. So

0:44:56.239 --> 0:44:58.480
<v Speaker 1>it just depends on your time frame at that stage.

0:44:58.600 --> 0:44:59.920
<v Speaker 1>You know, do you do you want to miss the

0:45:00.000 --> 0:45:03.080
<v Speaker 1>a three percent pullback or are you okay with that?

0:45:03.320 --> 0:45:05.920
<v Speaker 1>Are uka sitting through that? So that becomes a matter

0:45:06.000 --> 0:45:11.160
<v Speaker 1>of preference, and you reference sentiment. I've always found sentiment

0:45:11.400 --> 0:45:16.920
<v Speaker 1>such a challenge to trade off of accepted extremes. So

0:45:17.000 --> 0:45:20.600
<v Speaker 1>what do you you reference the three percent pullback? Can

0:45:20.719 --> 0:45:23.759
<v Speaker 1>you use sentiment to anticipate something like that? What is

0:45:23.800 --> 0:45:27.400
<v Speaker 1>what is sentiment? Really it's relevant to the conversation right

0:45:27.440 --> 0:45:30.120
<v Speaker 1>now because we do have that extreme reading in the

0:45:30.160 --> 0:45:32.719
<v Speaker 1>CNN Fear and Greed Index, for one, which is enhancing

0:45:32.719 --> 0:45:36.400
<v Speaker 1>that low reading in the VIX. We're at an extreme rate.

0:45:36.480 --> 0:45:40.000
<v Speaker 1>So you mentioned an extreme I think so I think

0:45:40.040 --> 0:45:42.399
<v Speaker 1>we've finally reached that for the first time since March

0:45:42.480 --> 0:45:45.840
<v Speaker 1>based on this one measure, and what I've identified is

0:45:45.920 --> 0:45:48.040
<v Speaker 1>It typically has a lead time of a few weeks

0:45:48.080 --> 0:45:50.160
<v Speaker 1>before you see it, and it's a short term peak,

0:45:50.239 --> 0:45:53.799
<v Speaker 1>not not anything you know, really worrisome orbarish, but a

0:45:53.840 --> 0:45:56.560
<v Speaker 1>short term peak tends to unfold in the SMP five

0:45:57.320 --> 0:45:59.880
<v Speaker 1>a couple few weeks after you get the extremes in

0:46:00.080 --> 0:46:02.200
<v Speaker 1>measures of sentiments, So I think it can be helpful

0:46:02.239 --> 0:46:06.000
<v Speaker 1>in that regard. However, I do give more weight to

0:46:06.040 --> 0:46:09.400
<v Speaker 1>the momentum gauges or the trendfall engages, whether it's a

0:46:09.520 --> 0:46:13.600
<v Speaker 1>MACD indicator or you know, some kind of oscilator. Those

0:46:13.680 --> 0:46:15.960
<v Speaker 1>to me take precedence because they're a little bit closer

0:46:16.000 --> 0:46:18.839
<v Speaker 1>to the price data that the market is giving us.

0:46:19.560 --> 0:46:23.160
<v Speaker 1>And the CNN Fear and Greed Index, what else goes

0:46:23.200 --> 0:46:25.760
<v Speaker 1>into that besides the VIX? Because I know a number

0:46:25.800 --> 0:46:29.120
<v Speaker 1>of different um firms have put out their own Fear

0:46:29.120 --> 0:46:32.440
<v Speaker 1>and Greed Index and they very quickly seemed to top

0:46:32.560 --> 0:46:36.520
<v Speaker 1>or bottom rapidly. It was sort of surprising that the

0:46:36.520 --> 0:46:40.719
<v Speaker 1>news flow changed and suddenly they all plummeted um. So

0:46:40.760 --> 0:46:43.320
<v Speaker 1>what else is in that that index? So it's the VIX,

0:46:43.440 --> 0:46:47.840
<v Speaker 1>the put call ratios, junk bond demand, safe haven demand,

0:46:48.320 --> 0:46:51.600
<v Speaker 1>there's a momentum reading there's a breath reading based on

0:46:51.680 --> 0:46:55.840
<v Speaker 1>advancers and decliners, and I think I'm forgetting one, but

0:46:55.960 --> 0:46:58.400
<v Speaker 1>taken together, I think you're actually getting a nice system

0:46:58.440 --> 0:47:01.560
<v Speaker 1>of checks and balances. And what I found is, as

0:47:01.280 --> 0:47:04.640
<v Speaker 1>an oscillating measure, it's much better than the average sentiment

0:47:04.640 --> 0:47:08.960
<v Speaker 1>engage that we all grew up with in a way. Yeah,

0:47:09.000 --> 0:47:12.960
<v Speaker 1>the poles and the surveys at identifying market tops, not

0:47:13.040 --> 0:47:15.960
<v Speaker 1>just market bottoms. Most every sentiment gage is quite good

0:47:15.960 --> 0:47:19.640
<v Speaker 1>at helping us identify market bottoms when the when the

0:47:19.640 --> 0:47:23.960
<v Speaker 1>fear levels spike and everybody's capitulating, it just shows up everywhere. Yeah,

0:47:23.960 --> 0:47:25.680
<v Speaker 1>it does show up, and it's a bit you know,

0:47:25.840 --> 0:47:27.920
<v Speaker 1>easier if you will. And maybe that's because it's been

0:47:28.440 --> 0:47:31.799
<v Speaker 1>more often a bull market than not, so maybe that's why.

0:47:31.880 --> 0:47:34.960
<v Speaker 1>But this, the CNN Fair Agreed Index, tends to be

0:47:35.040 --> 0:47:38.000
<v Speaker 1>a bit better at market tops. So there are a

0:47:38.120 --> 0:47:42.000
<v Speaker 1>number of indicators that in the modern era have seemed

0:47:42.000 --> 0:47:45.520
<v Speaker 1>to have sort of fallen by the wayside. And I

0:47:45.640 --> 0:47:48.080
<v Speaker 1>kind of have the put coal ratio on the edge

0:47:48.080 --> 0:47:52.239
<v Speaker 1>of that. So do you remember the odd lots um indicator,

0:47:52.320 --> 0:47:56.280
<v Speaker 1>And then there was the end of week money flow indicators.

0:47:56.960 --> 0:47:59.800
<v Speaker 1>Those things all seem to have just withered away because

0:48:00.200 --> 0:48:02.960
<v Speaker 1>who cares about odd lots and money flow? Is is

0:48:03.520 --> 0:48:07.360
<v Speaker 1>it's so instantaneous these days that it doesn't seem to

0:48:07.600 --> 0:48:10.919
<v Speaker 1>have the same impact. Where do you put the ratio?

0:48:10.480 --> 0:48:14.640
<v Speaker 1>The ratio for MEUM burned me a little bit in

0:48:14.640 --> 0:48:17.279
<v Speaker 1>in two thousand and eight, and it's when you know,

0:48:17.360 --> 0:48:22.279
<v Speaker 1>the extremes became more extreme. So you know, I have

0:48:22.320 --> 0:48:24.560
<v Speaker 1>a little bad taste in my math from that UM

0:48:24.920 --> 0:48:27.759
<v Speaker 1>that period, and what it's actually done in a way

0:48:28.000 --> 0:48:30.840
<v Speaker 1>is led me to give them not no weight, but

0:48:30.960 --> 0:48:33.120
<v Speaker 1>certainly less weight. And that's why I like that they're

0:48:33.160 --> 0:48:36.600
<v Speaker 1>one out of maybe seven components of that sentiment indicator,

0:48:37.120 --> 0:48:40.080
<v Speaker 1>because you know there in's that that checks and balance

0:48:40.120 --> 0:48:42.320
<v Speaker 1>the system that helps you understand when an extreme is

0:48:42.360 --> 0:48:47.600
<v Speaker 1>really extreme. These days, UM, any other sentiment matter worth Uh?

0:48:48.800 --> 0:48:50.920
<v Speaker 1>I don't think so. I think again, it's really more

0:48:50.960 --> 0:48:54.680
<v Speaker 1>about trend following, support and resistance overbought over sold measures

0:48:54.719 --> 0:48:57.240
<v Speaker 1>that those relate are more important, and that the market

0:48:57.239 --> 0:49:01.000
<v Speaker 1>internal measures. While they can be very helpful, their informational

0:49:01.040 --> 0:49:04.120
<v Speaker 1>at extremes, and I think people like to talk about

0:49:04.160 --> 0:49:06.719
<v Speaker 1>them because they tell more of a story and we

0:49:06.760 --> 0:49:09.520
<v Speaker 1>all like a good story and want to understand why

0:49:09.600 --> 0:49:12.920
<v Speaker 1>something's happening. But in reality, the charts are designed to

0:49:12.960 --> 0:49:15.880
<v Speaker 1>help us understand what's happening, They're not really designed to

0:49:15.920 --> 0:49:18.960
<v Speaker 1>give you that story. So I almost think that sentiment

0:49:19.239 --> 0:49:22.879
<v Speaker 1>and breath and leadership get a little too much press

0:49:23.000 --> 0:49:27.120
<v Speaker 1>before before I go to my favorite questions, you touched

0:49:27.120 --> 0:49:30.160
<v Speaker 1>on a subject that's one of my favorite subjects. So

0:49:30.400 --> 0:49:32.720
<v Speaker 1>why is it that we all like a good story?

0:49:32.800 --> 0:49:36.319
<v Speaker 1>And how potentially dangerous are those stories? How can they

0:49:36.400 --> 0:49:38.799
<v Speaker 1>lead us astray? Well? And that's what I love about

0:49:38.800 --> 0:49:42.680
<v Speaker 1>the charts is that they they sort of isolate exactly

0:49:42.719 --> 0:49:46.120
<v Speaker 1>what is happening from a supply demand perspective without getting

0:49:46.160 --> 0:49:49.200
<v Speaker 1>tainted by the stories. And it's not to say you

0:49:49.200 --> 0:49:52.200
<v Speaker 1>shouldn't have a reason to invest in something. There should

0:49:52.239 --> 0:49:55.280
<v Speaker 1>always be a reason. And however that reason has derived,

0:49:55.960 --> 0:49:59.440
<v Speaker 1>um you know, that's important because those are the drivers

0:49:59.480 --> 0:50:02.800
<v Speaker 1>of the trend. So there might be some fundamental story

0:50:03.200 --> 0:50:05.880
<v Speaker 1>that's very important to the future of a stock. I

0:50:06.120 --> 0:50:09.000
<v Speaker 1>would not never disagree with that, But when it comes

0:50:09.040 --> 0:50:13.920
<v Speaker 1>to just headlines and hearsay and anecdotal evidence of something,

0:50:14.000 --> 0:50:16.000
<v Speaker 1>I think it can be very dangerous. And that's why

0:50:16.040 --> 0:50:20.680
<v Speaker 1>the charts can help us sort of stay honest. So um,

0:50:21.080 --> 0:50:24.560
<v Speaker 1>I described that as monkeys love a good narrative and

0:50:24.560 --> 0:50:28.239
<v Speaker 1>and you explain the dangers of that perfectly. Let's let's

0:50:28.320 --> 0:50:32.160
<v Speaker 1>jump to my favorite questions. These are the questions I

0:50:32.200 --> 0:50:36.000
<v Speaker 1>ask all of my guests, um, some of which I've written,

0:50:36.040 --> 0:50:40.480
<v Speaker 1>some of which have come from readers and listeners, including

0:50:40.520 --> 0:50:43.800
<v Speaker 1>the first one. So what's the most important thing people

0:50:44.239 --> 0:50:48.520
<v Speaker 1>don't know about your background? Oh? The most important thing

0:50:48.600 --> 0:50:51.440
<v Speaker 1>people don't know. That's the most It could be the

0:50:51.480 --> 0:50:53.880
<v Speaker 1>most interesting. Doesn't have to be important, Yeah, I mean,

0:50:54.040 --> 0:50:55.920
<v Speaker 1>I think it's just the way you think about the

0:50:55.960 --> 0:51:01.080
<v Speaker 1>world and my background. I was not not a talented artist,

0:51:01.120 --> 0:51:03.520
<v Speaker 1>but I've always had an interest in art and things

0:51:03.560 --> 0:51:06.239
<v Speaker 1>that are sort of more visual in nature. So I

0:51:06.280 --> 0:51:08.400
<v Speaker 1>think that's you know, it's not something a lot of

0:51:08.440 --> 0:51:10.760
<v Speaker 1>people would know about me, but I enjoyed a painting

0:51:11.040 --> 0:51:16.799
<v Speaker 1>and creating things and a technician who's looking at at

0:51:16.920 --> 0:51:21.160
<v Speaker 1>visual data that's exactly right, and you know, it's something

0:51:21.160 --> 0:51:23.080
<v Speaker 1>that you can get lost in. And I think the

0:51:23.160 --> 0:51:25.320
<v Speaker 1>charts are in a way the same. And I spend

0:51:25.360 --> 0:51:28.400
<v Speaker 1>probably too much time making my charts look really pretty.

0:51:29.280 --> 0:51:33.160
<v Speaker 1>Tell us about some of your early mentors, you know,

0:51:33.320 --> 0:51:35.279
<v Speaker 1>really the people that I've worked for, I've been so

0:51:35.400 --> 0:51:38.960
<v Speaker 1>blessed in having exposure to them and also um to

0:51:39.040 --> 0:51:41.440
<v Speaker 1>be able to embrace their disciplines at a young age

0:51:41.440 --> 0:51:45.520
<v Speaker 1>where I was still somewhat impressionable and hadn't gotten set

0:51:45.560 --> 0:51:47.719
<v Speaker 1>in my ways yet. So it would have started with

0:51:47.760 --> 0:51:51.520
<v Speaker 1>Tom Dorisey at Dorsey Wright and Richmond who inspired me

0:51:51.560 --> 0:51:56.400
<v Speaker 1>and helped me understand how technical analysis fit with them

0:51:56.440 --> 0:51:58.880
<v Speaker 1>you know, everything else really in sort of the bigger

0:51:58.920 --> 0:52:02.120
<v Speaker 1>world of finance and in Wall Street, and and Dorsey

0:52:02.200 --> 0:52:04.360
<v Speaker 1>Right is still going strong. I think they sold the

0:52:04.360 --> 0:52:07.439
<v Speaker 1>company a couple of years in NASA NASTAC and they're

0:52:07.480 --> 0:52:10.960
<v Speaker 1>still they now. Tom Dorsey is putting out a number

0:52:11.080 --> 0:52:15.960
<v Speaker 1>of e t f s right, they ETFs. I'm not

0:52:16.000 --> 0:52:18.239
<v Speaker 1>sure how many, but they've had ETFs for a long

0:52:18.280 --> 0:52:21.400
<v Speaker 1>time and have ten billion or fifteen billion in a

0:52:21.760 --> 0:52:23.839
<v Speaker 1>m and then if if memory serves, Yeah, so they've

0:52:23.840 --> 0:52:27.880
<v Speaker 1>been very successful and certainly have a great following on

0:52:27.960 --> 0:52:31.400
<v Speaker 1>Wall Street. And you know from there, I worked for

0:52:31.440 --> 0:52:34.319
<v Speaker 1>someone named Mike Curly, and that was when I had

0:52:34.320 --> 0:52:38.160
<v Speaker 1>a stint in San Francisco working for a firm called

0:52:38.200 --> 0:52:40.319
<v Speaker 1>the offering, which was at the time you know, this

0:52:40.400 --> 0:52:43.280
<v Speaker 1>is late nineties, mind you, the investment bank of you Trade,

0:52:43.760 --> 0:52:45.799
<v Speaker 1>and we were bought by wit sound View, and so

0:52:45.880 --> 0:52:48.319
<v Speaker 1>I worked with Mike Curly and that was really my

0:52:48.360 --> 0:52:52.360
<v Speaker 1>first name is Yeah, he's been around and he was

0:52:52.760 --> 0:52:55.400
<v Speaker 1>sort of in the Navy and had just this really

0:52:55.440 --> 0:52:58.920
<v Speaker 1>interesting approach. You'll actually find a lot of technicians have

0:52:59.000 --> 0:53:01.520
<v Speaker 1>a military background owned or background in some kind of

0:53:01.760 --> 0:53:04.920
<v Speaker 1>engineering field. It just lends itself, you know, to that

0:53:05.000 --> 0:53:08.520
<v Speaker 1>kind of analysis. And so he taught me some structured, disciplined,

0:53:08.680 --> 0:53:10.520
<v Speaker 1>organized that's right, and that's where a lot of the

0:53:10.520 --> 0:53:15.040
<v Speaker 1>indicators that I used came from. It's from my Curli's discipline, um,

0:53:15.080 --> 0:53:16.719
<v Speaker 1>you know. And then beyond that, I worked for Rick

0:53:16.760 --> 0:53:19.839
<v Speaker 1>Benson your when I was at Morgan Stanley, and he

0:53:20.320 --> 0:53:23.400
<v Speaker 1>gave me exposure to some of the indicators that excuse me,

0:53:23.440 --> 0:53:26.080
<v Speaker 1>really differentiate my work, I'd say, from you know, the

0:53:26.640 --> 0:53:29.560
<v Speaker 1>counterparts at other firms, whether it be the cloud model,

0:53:29.600 --> 0:53:34.600
<v Speaker 1>which is also called Echi moku um and yeah, well

0:53:34.600 --> 0:53:37.880
<v Speaker 1>that actually it goes back to Japanese is that it

0:53:38.000 --> 0:53:41.640
<v Speaker 1>is I think equally as old as candlesticks, and in

0:53:41.680 --> 0:53:43.719
<v Speaker 1>the same way that they're designed to give you that

0:53:43.760 --> 0:53:46.080
<v Speaker 1>sort of one look of the chart, where you're getting

0:53:46.160 --> 0:53:48.560
<v Speaker 1>as much information as you can into that one view.

0:53:49.200 --> 0:53:51.719
<v Speaker 1>Um So, he exposed me to those which have been

0:53:51.960 --> 0:53:55.560
<v Speaker 1>invaluable in my work, and also the demark indicators he

0:53:56.000 --> 0:53:58.960
<v Speaker 1>taught me. So I've been very lucky to have people

0:53:59.040 --> 0:54:02.799
<v Speaker 1>like Rick and Mike and Tom as mentors, you know,

0:54:02.960 --> 0:54:05.560
<v Speaker 1>over my career. And also, you know, I've been highly

0:54:05.600 --> 0:54:09.919
<v Speaker 1>involved in the now named CMT Association. I was vice

0:54:09.960 --> 0:54:13.239
<v Speaker 1>president of that organization for some time and was able

0:54:13.280 --> 0:54:16.040
<v Speaker 1>to get to know, you know, people like Ralpheck Emporra, who,

0:54:16.280 --> 0:54:18.640
<v Speaker 1>by the way, you know, came to guest lecture that

0:54:18.680 --> 0:54:21.000
<v Speaker 1>class that I took in college, and he stood up

0:54:21.000 --> 0:54:22.919
<v Speaker 1>in front of the class and took the Wall Street

0:54:22.960 --> 0:54:25.040
<v Speaker 1>Journal and tour it in half and said, you don't

0:54:25.040 --> 0:54:28.360
<v Speaker 1>need this anymore and uh and boy he got our attention.

0:54:28.440 --> 0:54:31.000
<v Speaker 1>You know, all of our finance majors in the room.

0:54:31.120 --> 0:54:33.479
<v Speaker 1>It was pretty pretty neat. So a lot of people

0:54:33.480 --> 0:54:37.440
<v Speaker 1>to inspire me. Um So, you mentioned several mentors. What

0:54:37.480 --> 0:54:42.000
<v Speaker 1>about investors? What investors have influenced the way you look

0:54:42.080 --> 0:54:47.000
<v Speaker 1>at either markets or or individual stocks. Honestly, I haven't

0:54:47.000 --> 0:54:50.040
<v Speaker 1>found my inspiration in any of the investors, which, to

0:54:50.080 --> 0:54:52.200
<v Speaker 1>be honest, tend to be a bit more fundamentally or

0:54:52.280 --> 0:54:55.200
<v Speaker 1>macro oriented the ones that that we all know. Um.

0:54:55.239 --> 0:54:57.640
<v Speaker 1>So I've found it more in the tools that i've

0:54:58.120 --> 0:55:01.080
<v Speaker 1>you know, derived from my ment tours. So I don't

0:55:01.120 --> 0:55:04.520
<v Speaker 1>really have an inspiration in terms of my investing style, um,

0:55:04.640 --> 0:55:07.320
<v Speaker 1>except to say that that it really is you know, technical,

0:55:07.840 --> 0:55:11.080
<v Speaker 1>you know, technically oriented, and it came from you know,

0:55:11.080 --> 0:55:13.759
<v Speaker 1>studying for the CMT program and being inspired by some

0:55:13.800 --> 0:55:17.000
<v Speaker 1>of the methods that I read about in that program.

0:55:17.120 --> 0:55:20.960
<v Speaker 1>Let's talk about books. This is everybody's favorite question. Tell

0:55:21.040 --> 0:55:24.200
<v Speaker 1>us about some books you've read recently. They can be fiction,

0:55:24.280 --> 0:55:27.839
<v Speaker 1>non fiction, market related, not and and some of your

0:55:27.880 --> 0:55:30.600
<v Speaker 1>all time favorite books. Oh goodness, Well, that's a hard

0:55:30.680 --> 0:55:34.440
<v Speaker 1>question for a mom of three young children, where reading,

0:55:34.600 --> 0:55:37.000
<v Speaker 1>you know, time to read books is sort of you know,

0:55:37.040 --> 0:55:40.239
<v Speaker 1>it's hard to find that other than the hungry caterpillar?

0:55:40.360 --> 0:55:43.160
<v Speaker 1>What else? What else have you been looking at? You know,

0:55:43.239 --> 0:55:45.319
<v Speaker 1>I like to read. I like a good beach read,

0:55:45.360 --> 0:55:49.920
<v Speaker 1>to be honest, But that aside, you know, the demark indicators. Um,

0:55:49.960 --> 0:55:52.680
<v Speaker 1>you know, I've I've read Jason Pearl's book probably most

0:55:52.719 --> 0:55:56.520
<v Speaker 1>recently on those and and that's very accessible, and I think, um,

0:55:56.560 --> 0:55:59.160
<v Speaker 1>you know, there's not enough literature out there on those,

0:55:59.200 --> 0:56:02.440
<v Speaker 1>so I've appreciated that. And then it goes back to

0:56:02.480 --> 0:56:05.880
<v Speaker 1>a lot of the textbooks on technical analysis, which you know,

0:56:06.080 --> 0:56:07.360
<v Speaker 1>at the end of the day, it is somewhat of

0:56:07.360 --> 0:56:10.400
<v Speaker 1>a mathematical discipline, so they're they're not gonna, you know,

0:56:10.840 --> 0:56:13.120
<v Speaker 1>keep you up at night, but at least I'll give

0:56:13.160 --> 0:56:15.520
<v Speaker 1>you the tools that you need, you know to So

0:56:15.840 --> 0:56:19.239
<v Speaker 1>Edwards and McGee, right, the Martin Pring's book, you know,

0:56:19.280 --> 0:56:22.000
<v Speaker 1>Technical Analysis Explained, which I'm sure has been updated a

0:56:22.080 --> 0:56:25.040
<v Speaker 1>million times since I first read it. Um so more

0:56:25.440 --> 0:56:28.279
<v Speaker 1>so those types of books as opposed to you know,

0:56:28.520 --> 0:56:31.560
<v Speaker 1>Reminiscences of a stock Operator that type of thing, which

0:56:31.640 --> 0:56:37.479
<v Speaker 1>is fascinating but really isn't much of a how to. Yeah,

0:56:37.520 --> 0:56:40.080
<v Speaker 1>in a way, it's the right learn from others mistakes, right,

0:56:40.600 --> 0:56:43.120
<v Speaker 1>Um So it's it's you know, the textbooks that for

0:56:43.160 --> 0:56:46.440
<v Speaker 1>me have really helped me, you know, move my discipline forward.

0:56:46.640 --> 0:56:50.600
<v Speaker 1>So so what's your guilty pleasure? Beach read? Oh, the

0:56:50.600 --> 0:56:53.919
<v Speaker 1>beach reads Gosh right now I'm reading Hillbilly Elegy, which

0:56:53.920 --> 0:56:57.040
<v Speaker 1>is a lot of people that yeah, yeah, I do,

0:56:57.160 --> 0:56:59.920
<v Speaker 1>like I try to alternate, you know, fiction and nonfiction,

0:57:00.080 --> 0:57:03.200
<v Speaker 1>just to mix things up. And UM, you know I

0:57:03.680 --> 0:57:06.359
<v Speaker 1>just and then I had my US Weekly, so you

0:57:06.400 --> 0:57:10.640
<v Speaker 1>know that is that is a good pleasure US Weekly. UM.

0:57:10.680 --> 0:57:13.080
<v Speaker 1>So let's talk a little bit about how the industry

0:57:13.080 --> 0:57:17.480
<v Speaker 1>has changed since you joined. Let's call it twenty years ago.

0:57:17.560 --> 0:57:20.360
<v Speaker 1>Is that a fair number. So what's the biggest change

0:57:20.440 --> 0:57:24.040
<v Speaker 1>that's taken place for you as a technician over that

0:57:24.040 --> 0:57:27.560
<v Speaker 1>time period. It's really the acceptance of the discipline and

0:57:27.680 --> 0:57:30.920
<v Speaker 1>it's it's not like it happened overnight, but certainly the

0:57:31.000 --> 0:57:34.200
<v Speaker 1>acceptance of what we do every day. And by the way,

0:57:34.240 --> 0:57:37.520
<v Speaker 1>most people don't do this as their primary career. They

0:57:37.560 --> 0:57:39.840
<v Speaker 1>do it as Some are just hobbyists, you know, they

0:57:39.920 --> 0:57:42.960
<v Speaker 1>do it for personal reasons to help their investing, and

0:57:43.040 --> 0:57:45.360
<v Speaker 1>others are in a different seat, like they're a trader

0:57:45.400 --> 0:57:48.600
<v Speaker 1>for a hedge fund or their portfolio manager out a

0:57:48.680 --> 0:57:51.600
<v Speaker 1>mutual fund, trying to understand these things so they can

0:57:51.720 --> 0:57:53.840
<v Speaker 1>use it in a in a way that um, you know,

0:57:53.880 --> 0:57:57.480
<v Speaker 1>facilitates what they already do. And so, um, you know

0:57:57.560 --> 0:58:00.520
<v Speaker 1>that the adoption has really gotten to the point where

0:58:00.520 --> 0:58:03.360
<v Speaker 1>I'm not going to client meetings and having to pitch

0:58:03.400 --> 0:58:06.200
<v Speaker 1>them on the value of technical analysis, but rather to

0:58:06.280 --> 0:58:09.000
<v Speaker 1>focus on what we can really add value in, which

0:58:09.040 --> 0:58:13.920
<v Speaker 1>is idea generation risk management, identifying important levels, and looking

0:58:13.920 --> 0:58:17.960
<v Speaker 1>for opportunities. So so, given those changes over the past

0:58:18.120 --> 0:58:20.320
<v Speaker 1>let's call it ten or twenty years, what do you

0:58:20.360 --> 0:58:24.400
<v Speaker 1>see as the next set of changes within the industry.

0:58:24.600 --> 0:58:27.040
<v Speaker 1>I think it must be. You know, we do a

0:58:27.120 --> 0:58:29.440
<v Speaker 1>lot of project work for clients that's a bit more

0:58:29.520 --> 0:58:33.000
<v Speaker 1>quantitative in its nature. I don't think you can make

0:58:33.080 --> 0:58:36.919
<v Speaker 1>charts quantitative solely, but certainly with the tools that we have,

0:58:37.520 --> 0:58:40.600
<v Speaker 1>you know, from the technologies that are now offered to us.

0:58:40.680 --> 0:58:42.920
<v Speaker 1>I think there's a lot of upside in a planet

0:58:42.960 --> 0:58:47.880
<v Speaker 1>more systematically and quantitatively and also in appliant more from

0:58:47.920 --> 0:58:51.120
<v Speaker 1>a risk management perspective, which we all know is quite important.

0:58:51.160 --> 0:58:53.680
<v Speaker 1>So I think that's going to be the next push

0:58:53.720 --> 0:58:55.760
<v Speaker 1>and where there's a lot of upside, and I think

0:58:55.760 --> 0:58:58.800
<v Speaker 1>it's an exciting field. I'll be attending a conference in

0:58:58.880 --> 0:59:03.320
<v Speaker 1>October for the if TO organization, which is an international

0:59:03.360 --> 0:59:07.000
<v Speaker 1>federation of technical analysts, and that conference is centering around

0:59:07.080 --> 0:59:10.720
<v Speaker 1>AI and technical analysis, and I don't know enough about

0:59:10.760 --> 0:59:13.200
<v Speaker 1>it yet, but I think there's some interesting things going

0:59:13.200 --> 0:59:16.640
<v Speaker 1>on there that AI and technical analysis that sounds fascinating.

0:59:16.880 --> 0:59:20.520
<v Speaker 1>That's really that's really interesting. Um there's a quote from

0:59:20.600 --> 0:59:23.560
<v Speaker 1>Jeff Bezos that I love, and it says something along

0:59:23.600 --> 0:59:28.440
<v Speaker 1>the lines of, uh, if we're not failing a lot,

0:59:28.480 --> 0:59:31.919
<v Speaker 1>we're doing something wrong, meaning we have to constantly try

0:59:32.000 --> 0:59:36.000
<v Speaker 1>things and and by definition some of those things won't

0:59:36.000 --> 0:59:39.560
<v Speaker 1>work out. So with that as the preface, tell us

0:59:39.880 --> 0:59:43.320
<v Speaker 1>about a time that you attempted something and failed and

0:59:43.400 --> 0:59:46.640
<v Speaker 1>what you learned from that. Well, yeah, and I mean

0:59:46.920 --> 0:59:48.959
<v Speaker 1>we could go back to the conversation about the pot

0:59:48.960 --> 0:59:51.919
<v Speaker 1>call ratio, you know, in terms of two thousand and eight,

0:59:51.960 --> 0:59:54.960
<v Speaker 1>where you know, I just stayed with it too long

0:59:55.600 --> 0:59:58.000
<v Speaker 1>because I was giving too much weight to the market

0:59:58.000 --> 1:00:01.600
<v Speaker 1>internals when I should have given more weight the momentum

1:00:01.600 --> 1:00:05.040
<v Speaker 1>and trendfall engages, which I always advocated as more important.

1:00:05.440 --> 1:00:07.760
<v Speaker 1>Um So when it actually came to the moment, I

1:00:07.880 --> 1:00:12.240
<v Speaker 1>just I stayed in too long, is what happened. So

1:00:12.240 --> 1:00:15.840
<v Speaker 1>so it was it was actually deviating from my discipline

1:00:15.960 --> 1:00:19.000
<v Speaker 1>because I got married to my view. So so there

1:00:19.120 --> 1:00:21.240
<v Speaker 1>is you know a lot of risk in that, especially

1:00:21.280 --> 1:00:23.920
<v Speaker 1>from that top down perspective. And and we had to

1:00:24.160 --> 1:00:28.080
<v Speaker 1>again keep ourselves honest by really adhering to the indicators,

1:00:28.160 --> 1:00:31.800
<v Speaker 1>the trend falling indicators, especially to help you know, us

1:00:31.960 --> 1:00:35.000
<v Speaker 1>determine our biases and and so, you know, as not

1:00:35.080 --> 1:00:38.240
<v Speaker 1>to get too married to your views. So outside of

1:00:38.240 --> 1:00:42.840
<v Speaker 1>the office, what do you do for relaxation and enjoyment? Oh, well,

1:00:42.880 --> 1:00:46.120
<v Speaker 1>you know, I actually don't have a lot of time

1:00:46.160 --> 1:00:48.640
<v Speaker 1>outside of the office, but just I spend time with

1:00:48.680 --> 1:00:52.320
<v Speaker 1>my kids and and you know, enjoyed traveling. And am

1:00:52.320 --> 1:00:54.320
<v Speaker 1>I remembering you were a runner for a long time.

1:00:54.320 --> 1:00:56.640
<v Speaker 1>I'm a runner. I had sort of an avid runner,

1:00:56.760 --> 1:00:58.800
<v Speaker 1>not very far and not very fast, but I still

1:00:58.880 --> 1:01:04.640
<v Speaker 1>enjoy it. Um. I remember it was you and Jim

1:01:04.640 --> 1:01:07.920
<v Speaker 1>Bianco and who else up in camp Co talk and

1:01:07.960 --> 1:01:11.760
<v Speaker 1>I'm thinking, yeah, I'm just gonna sleep it. You guys

1:01:11.760 --> 1:01:14.400
<v Speaker 1>were up and out running early. It puts me in

1:01:14.440 --> 1:01:16.960
<v Speaker 1>a happy place and it clears my head. And I

1:01:17.000 --> 1:01:19.439
<v Speaker 1>think that I found that and not that I get

1:01:19.480 --> 1:01:22.080
<v Speaker 1>to paint often, but painting does that for me too.

1:01:22.080 --> 1:01:24.680
<v Speaker 1>And I think it's healthy for everybody to be able

1:01:24.720 --> 1:01:28.560
<v Speaker 1>to remove themselves from the market something different from what

1:01:28.560 --> 1:01:32.720
<v Speaker 1>what the regular course of events. That's right? And um

1:01:32.760 --> 1:01:37.080
<v Speaker 1>my last two and very favorite questions. So if a

1:01:37.240 --> 1:01:40.760
<v Speaker 1>millennial or recent college grad came up to you and

1:01:40.800 --> 1:01:44.320
<v Speaker 1>said they were looking for advice about a career in

1:01:44.360 --> 1:01:47.960
<v Speaker 1>technical analysis, what would you tell them? This actually does

1:01:48.040 --> 1:01:52.480
<v Speaker 1>happen often, so I would always say, you know, listen you,

1:01:52.720 --> 1:01:55.560
<v Speaker 1>I don't know that there's a lot of job opportunity

1:01:55.600 --> 1:01:59.240
<v Speaker 1>in technical analysis. As a purist UM sort of in

1:01:59.520 --> 1:02:03.120
<v Speaker 1>my seat where I'm a sales side publishing technical strategists,

1:02:03.520 --> 1:02:06.280
<v Speaker 1>there's not that many of us UM. And yet I

1:02:06.320 --> 1:02:09.760
<v Speaker 1>think as a discipline something that that you should learn

1:02:10.240 --> 1:02:13.560
<v Speaker 1>UM as one part of a bigger picture that by

1:02:13.600 --> 1:02:16.919
<v Speaker 1>all means everybody should pursue the CMT should actually really

1:02:16.920 --> 1:02:19.080
<v Speaker 1>take it upon themselves to learn it as a discipline

1:02:19.440 --> 1:02:22.880
<v Speaker 1>not only for their career but also for their personal investing.

1:02:23.000 --> 1:02:26.040
<v Speaker 1>I think it's invaluable and UM, you know, just to

1:02:26.160 --> 1:02:29.040
<v Speaker 1>have I guess a bigger scope to what you're doing,

1:02:29.200 --> 1:02:32.520
<v Speaker 1>whether it means also pursuing the cf A or something

1:02:32.600 --> 1:02:36.160
<v Speaker 1>like this. UM. But as you know, a new UM,

1:02:36.320 --> 1:02:39.600
<v Speaker 1>I guess, a new graduate going into a firm, I

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<v Speaker 1>think a mistake that I made that UM. Now with

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<v Speaker 1>some hindsight, I can say I would have benefited from

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<v Speaker 1>really knowing what was going on around me in the firm,

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<v Speaker 1>because I think, you know, we get so narrow focused

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<v Speaker 1>and what our day to day job is, especially at

1:02:55.880 --> 1:02:58.919
<v Speaker 1>a younger age, UM, but we lose sight of of

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<v Speaker 1>how we fit in to the big picture. And I

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<v Speaker 1>think just to know what's going on around you it's

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<v Speaker 1>really obviously valuable. And our final question, what is it

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<v Speaker 1>that you know about investing charting strategy today that you

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<v Speaker 1>wish you knew twenty years ago? Oh gosh. I would

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<v Speaker 1>say probably that demark indicators would be the first thing

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<v Speaker 1>that come to mind as being a tool. UM so

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<v Speaker 1>that that came in probably about halfway through my career,

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<v Speaker 1>and it would have been great to have you know,

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<v Speaker 1>known more about them in the earlier stages. I think

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<v Speaker 1>that would have certainly helped um, you know, around two

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<v Speaker 1>thousand for example, and you know when they would have

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<v Speaker 1>been you know, added value in terms of the inflection

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<v Speaker 1>points that we saw because that came without very much warning,

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<v Speaker 1>as you could imagine, not a lot of divergences ahead

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<v Speaker 1>of that peak. Well, thank you so much, Katie for

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<v Speaker 1>being so generous with your time, and I will see

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<v Speaker 1>you up at uh Well, I see you at Camp Montall.

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<v Speaker 1>That sounds like we have been speaking with Katie Stockton.

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<v Speaker 1>She is the chief Technicals Srategists at bt i G.

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<v Speaker 1>If you enjoy this conversation, be sure and look up

1:04:05.640 --> 1:04:08.080
<v Speaker 1>an inch or down an inch at any of the

1:04:08.120 --> 1:04:12.040
<v Speaker 1>other hundred and fifty or so such conversations that we've

1:04:12.080 --> 1:04:17.760
<v Speaker 1>had previously. We love your comments, feedback and suggestions right

1:04:17.840 --> 1:04:21.520
<v Speaker 1>to us at m IB podcast at Bloomberg dot net.

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<v Speaker 1>I would be remiss if I did not thank the

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<v Speaker 1>crack team who helps put these podcasts together. Medina Parwana

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<v Speaker 1>is my audio engineer. Taylor Riggs is my booking producer.

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<v Speaker 1>Michael Batnick is head of research. I'm Barry rid Holts.

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<v Speaker 1>You've been listening to Masters in Business on Bloomberg Radio.