← Top Traders Unplugged
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- [00:01]
A
Welcome to Top traders Unplugged in markets. Success doesn't come from predicting what happens next. It comes from being prepared for what you can't predict. In each episode we go deep with some of the world's most thoughtful minds in investing, economics and beyond to understand how they think, how they prepare and how they decide and the experiences that shaped how they see the world. No noise, no shortcuts, just real conversations to help you think better and invest with conf.
- [00:36]
B
Welcome or welcome back to this week's edition of the Systematic Investor series with Andrew Beer and I, Nils Castor Larsen, where each week we take the pulse of the global market through the lens of a rules based investor. Andrew, it is wonderful as always to have you back this week on the podcast. How are you doing?
- [00:51]
C
I'm great, thank you, thank you for, thank you for having me back. As always, I'm thrilled to be here.
- [00:56]
B
Absolutely, absolutely. It's always good to have you on and give some perspective on, on your side of, of our industry, so to speak. Before we get into the topics, you brought along quite a few. So it will be a fun conversation today, no doubt. You know, I like to just ask you a little bit about what's been on your radar. Not necessarily anything we're going to talk about today, but just what's come across your radar in the last few weeks since we last spoke. Anything in particular springs to mind?
- [01:28]
C
I think my radar is consumed by trying to figure out what's going on on the geopolitical front. So like the entire radar screen at midnight, at 2:30 in the morning, I find it very unsettling where we are. It reminds me in a sense of a little bit after what it felt like in 911 in the US where you just don't know what could happen next. And it could be a lot more devastating than people have been thinking about. And so look, I hope I'm wrong, but you know, the things I think about are we've had somebody who for 40 years has been thinking about how do we inflict damage on soft targets, basically, if it came to that. And it just puts me back when people were thinking about poisoning water supplies and now we've got AI and whatever, bioweapons and we have radioactive fissile material. And I just worry that there's something out there like what 911 was for a New Yorker and for an American and for everything else was, God, somebody knew us so much better than we did that somebody with a box cutter could take over an airplane and everybody in the airplane is thinking if I try to challenge it, my downside is I'm going to be cut. And that's terrible. And because the base case is that we're going to land on a tarmac and somebody's going to make a political speech or demand asylum or something like that. And then what happened was so catastrophic and so shocking, and it just feels like we've opened to Pandora's box, that we don't really know what the parameters are. And again, I hope I'm wrong on all of it, but that's been on my mind.
- [03:13]
B
I'm sure most people listening to us today will probably say the same thing. You touch, actually on things that I had put down as. As on my radar as well. You know, what feels different to me about this particular crisis, and not just necessarily the last few weeks, but just generally what's been going on the last few years. Different to what you and I and many others experienced in the great financial crisis, even to some extent, the pandemic and of course, previous crisis. All of those more or less could be fixed by the Federal Reserve coming in with a big bazooka or, you know, a fiscal package, and we would be off to the races again. This one feels very different. This is. This is about ideology. Right. And I think that this is why, in my opinion, it's not going to go away. And it literally is a completely different regime we're in. And, and really all investors should pay attention to that if they're thinking about their financial health. That's what it feels like to me. But I agree with you, it's obviously exhausting to try and follow all of that.
- [04:26]
C
To me, it feels like we've started something. We're going to be talking about this for 20 years. Whatever you think of Trump, good or bad, I think one of the things that's fascinating about him is that his whole life has been about people will always come back to the table or new people will come to the table if there's money involved and if there's a transaction involved. And so he's kind of taken this idea that you can negotiate in a very, very, very tough way. You'll never alienate everybody so much, because as long as there's money, they'll come back. And he's kind of applied this now in a geopolitical context, where you can threaten to invade Greenland, you can threaten to invade Canada, you can do all these different things that are so outside the scope of the normal proprieties of the kind of like geopolitical intelligentsia. And when this started to happen, I just, occasionally you read that one sentence and it kind of lands with you. And it was a one sentence thing that basically said in a war the other side has a vote. And so if you think about Liberation Day, every counter response to it was basically giving him an opportunity to come back to the table. If he wanted, he could come, he could decide when to deescalate. And I just remember reading that and thinking maybe this is, as you say, for ideological reasons because their incentive structure of this regime as it stands is very, very different. That maybe this is a scenario with that transactional mindset will have these grave unintended consequences. Now that being said, if a month from now Iran has given up their fissile material and there are some negotiated solutions, everyone will think Trump is Bismarck. Like, I mean, so it is, you know, it's just, and we'll talk about in the markets, I mean just the problem is the range of outcomes is not like between, you know, 4 and 6, it's between 0 and 10. And so the markets are whipsawing back and forth trying to figure out what the hell all this means.
- [06:17]
B
It's interesting what you point out about the whole kind of tactics and how essentially it's to a large degree about, you know, human behavior. Right. And which is exactly what we talk about. And you're right, we'll probably, maybe we will in 20 years still be talking about these kind of issues, but that at least makes it two things we're going to be talking about because we'll also be talking about CTAs and trend following in 20 years for sure. But you touch on another thing which I also find frightening, to be frank, and that's AI and what's happening in that space. I recently traveled on a long journey and I was listening to, to one of the new, newer AI books about Sam Altman and how maybe a different side to him described in this book, I forget the name, but it's all about the empires that these firms are building now. Then this, just this week I came across a story, could be in Bloomberg or maybe it was linked from another source, but it was about this guy who on his own, the only other employee I think he hired later on was his brother. He's a 41 year old guy from Los Angeles and in a relatively short space of time, with the use of AI, he has built a company that this year I think it is, is estimated to do $1.8 billion in revenue. And he's one guy and his brother. And so that's kind of interesting and optimistic. So I wanted to ask you, is there a technology, could be AI? Of course, but is there a technology or a gadget, but not your iPhone or your whatever phone you use that really has become sort of part of your life that you really would not want to give up again? Is there something that really makes your
- [08:22]
C
life great on the technology side?
- [08:26]
B
Yeah, technology, gadget, whatever we define it as.
- [08:30]
C
So it's funny, I mean, I'm of the view that social media and stuff has actually destroyed a generation of minds. And so I'm actually going the other direction in that I am all about paper books. I am totally addicted to peeking at my iPhone, particularly during periods like this, because, you know, I need to know. I really need to know at 10 o' clock o' clock at night, New York time, what's been happening to the oil markets. And there's absolutely nothing I can do about it, but it's compulsive. And I have a four and a half year old. And we are trying to raise him basically in the 19th century, so avoid that stuff as long as possible. Let his brain develop as it should. I think back to the question about AI. As a firm, we see extraordinary potential in a few ways. Not in terms of how it impacts our underlying investment strategy, but in terms of just efficiency. I mean, like I think about it, you've got these people who have spent, are spending hundreds and hundreds of billions of dollars to create tools that would cost us millions or tens of millions of dollars to build on our own that they're basically giving us for like $20 a month, you know, or like. It is, it is. And, and so my partner who's, I mean, if there's, if one of the two of us needs to get run over by a bus, like, I would throw him out of the way and get me, put me myself in front of it, because he's the one who kind of manages all the business
- [09:56]
A
and
- [09:57]
C
he's extraordinarily capable technologically. And so we have a team of people who are very, very deep into AI, figuring out what it can do for us from an efficiency perspective as a business, from programming and trade, reconciliation, et cetera. And it is extraordinarily powerful. You know, on my end, my bet is that I will not be made obsolete because a human contact and being able to read the, you know, read the whites of people's eyes when you're talking to them, trust, you know, these very, very, very human elements of it will coexist with that. But But I think it's, rather than saying there are things that we don't need or need, I think it's all changing. And I think, like, if I could get an AI agent who I could just say to it, you know, can you look through all my emails and find that email? I think it was from, you know, 2023, where I sent it to somebody. Can you go, like, dig through everything and see if you can find it and tell me if this is what I said? I would love that. That would be a huge improvement in my life.
- [10:58]
B
Yeah, no, I agree. So I was driving in the last couple of hours. I had a short drive to do, and I was listening to the radio. And since I'm in Denmark today, it was Danish radio, and they had a Danish journalist living in China, and they were talking about technology and how China is so far ahead in many ways. And he was, he was saying that he had a Chinese phone and a Danish phone, and his Chinese phone got got, you know, damaged, so he didn't have it with him for three days. He could do nothing. He said he could do. He could not even order a cup of coffee. Without your phone, you're nothing. And of course, in one way, they were talking about, oh, this is, this is so convenient, right? Every, you can do everything on your phone. And I was thinking, sure, but you're being watched every year. Every single move you do, even when you buy a coffee, even where that coffee gets delivered, is being locked somewhere. So, yeah, I have mixed feelings. I, I, of course, technology is wonderful. I wouldn't have been able to do a podcast without technology and efficiency and all of those stuff, but it is interesting anyways, by the way, the last thing on my radar was yesterday. I don't know if you watched this movie. I rarely go to the movies, but I did yesterday with my son, and we watch a new movie kit that came out called Project Hail Mary with Ryan Gosling. Have you seen it?
- [12:28]
C
I've heard of it. I've actually not seen a, I've said I've seen one movie in like, six years. So it's, it's. Other than seeing it pop up in a couple places, I don't, don't know anything about it.
- [12:38]
B
Yeah, well, the message was, fine. It's all about maybe looking after others before we look after ourselves. That was fine. But I have to say, it was a little bit of a long movie when it all happens pretty much in a confined space shuttle with one actor and, and a, and, and an alien, so to speak. Anyways, that was a bit of a sidestep Trend following. It's been interesting. We're going to talk about this. Of course my own trend barometer Yesterday closed at 48, which indicates kind of a neutral environment right now I think that's fair because I really don't think there's much direction. One day markets go up, next day they go down pretty much depending on whatever comes out of the Middle East. So I think a neutral setting is fair. The indices that I have data for is as of Tuesday. So without yesterday. And I'll come to yesterday in a second. But what's interesting to me looking from semi outside when I look at the space as a whole will be to see for example how speed of models will differentiate returns. For example, you know, have managers started to go short equities, are they still long and so on and so forth. I think that could be a little bit of a decisive moment. Historically, right. When I say historically I'm thinking about the last three years being slow has certainly in these situations been useful. Doesn't mean it's useful this time. We'll, we'll see. But the encouraging things as of Tuesday was that the B50 index was up 83 basis points. It's up more than 8% so far this year. Soc gen CTA index up about 1%, up 8 and a half percent for the year. Soc gen trend up 1.3%, up 8.5% for the year. And the short term traders index up 35 basis points, up 4.78% for the year. What was even more encouraging was when I looked at the, the public data like mutual funds, ETFs etc. And the returns yesterday and also comparing it to what happened on our side yesterday. Yesterday wasn't a big day. It was probably net, net most people lost a little bit of money. But you know, with the moves we saw in the markets and some of them going certainly against positioning, the outcome was pretty muted down a little bit. And I think that's a great testament really to how risk management and how people are really focused on, on this and despite the fact that this environment really isn't great for, for, for people who are kind of a longer term trend followers certainly I think actually was pretty useful to see that people have, you know, generally done, done well navigating this in, in, in this environment. And I'm sure risk management is part of that. What, how have you experienced? I mean we can talk about the year to date, we can talk about what probably people are mostly interested in the Last five weeks since the Iranian conflict started. How do you see it?
- [16:03]
C
Well, I mean, I would go back to you. I mean, so through the first quarter, suction CTA I think was up seven and a half and equities in the US were down and bonds were flattish or down. And that should be one of those iconic quarters that you point to when the strategy is really doing its job. Now it's a quarter, not a year. So my experience has been that first of all, January and February was like trend heaven around a handful of rates, right? I mean it's gold goes up 30%. Everybody's long gold or metals in some fashion goes up 30%, gold goes up 30%. And then there is this massive potential multi year rotation out of US stocks and international stocks. So I'm guessing a lot of funds were overweight. Cosby and they're overweight in the Nikkei and they've got all these other things that have exposure to outside the US and those markets like last year were crushing US markets. So like in the stuff that we do, we're up between 11 and 12 through January and February and then, you know, March starts and it's one of the, you know, great rug pulls in terms of all of the positions that were working in January and February, kind of for first. And so I just did a video talking about this and I said, I've called it the great macro do over of 2026, like hedge funds who were winning on non US equities and winning on emerging market stock stocks then got absolutely flattened. Gold goes down, I don't know, goes up 30 and then on 20 or something. I mean it was just, it was. But I think for a lot of people the saving grace was then and it was being caused by the fact that oil spiked. And so I think a lot of people, like at least what we saw in our portfolios is we had essentially no exposure to the energy complex at the end of last year. But then starting January we started adding, adding to it. And so by the time March rolled around, we actually had a meaningful allocation. So, so we got tagged. We did much better than the overall space in January and February. And then we got tagged a bit in March. We kind of ended up March in roughly the same place. And so what we've seen in our portfolios is basically a gradual de risking of the positions that we're working and have not been working. A reduction in equity risk, for instance. And so one of our clients, I was talking about it and he said, so are you in? I Used to have the things that were in crash protection mode. And he said, are you in crash protection mode? I said no, but we've put on shin guards and knee pads, maybe elbow pads. But look, it's a very strange time. As you talk about yesterday, if you're long crude oil and long gold, you're sort of hedged, I guess, because they're not going up or down. If you're long international stocks, but short the S and P. So we've seen. But you talk about a day like yesterday with the magnitude of the moves. You know, when I saw the ceasefire announcement again and this is the emotional torture being in the markets right now, I would be thrilled for humanity if we had a stable ceasefire and fewer people died and everything else. But from a positioning perspective, when you see yourself kind of positioning for like ongoing chaos and there is a little from a portfolio perspective, you're like, ah, God, it's going to be another Liberation Day or something like that. It hasn't been, but it does feel a little bit like we're on tenterhooks. The magnitude is so great. I think this is what's happening across the space. The overall space is doing great. I think. I look at all the mutual funded ETF comps. I think until a week or two it was literally everybody was up this year and you had a wide range of performance, but everybody was up. I love to see that. But within that, as you say, short term models may have been a saving grace in March, you may have gotten out faster and avoided the last escalation to de. Escalate. On the other hand, or having exposure spread across a lot of positions may have helped because you're not as concentrated in wti. We're going to be concentrated in wti, but if you've got a zillion different contracts, so, so I think it's been a, it's been absolutely riveting to watch it. But also it just, you know, feels a little harrowing and unstable given how much the markets are moving. But again, like I feel like we're on this like, like, like this nice edge where if we continue to perform well, up seven and a half and a quarter, if we have another year like 2022 and these things do escalate and it plays out through stocks and bonds at the same time, which again have the same risk, which is inflation, then we'll have another 2022 and that would be unbelievable. On the other hand, as we saw yesterday, maybe the world goes back to normal in two months and we'll be remembered for having had a good first quarter, but then we'll be back kind of in the middle of the pack or below equities again. We'll see.
- [21:12]
B
Speaking of traditional markets, had we recorded this the day before, the numbers would have been very different because of what happened yesterday. But as of Wednesday evening, MSCI World up 4.73% in April, up only 1.09% so far this year. The US Aggregate Bond Index up 46 basis points, up 53 basis points for the year and the S&P 500 up 3.92% for the month of April and down 59 basis points so far this year. But the year is by no means over, so we'll just have to wait and see. It is interesting to see look at. I mean obviously your attributions will be very different from something like mine, but at least what I would expect is that so far in April the comeback of equities will probably be supportive. Meaning I think longer term managers are overall still long even though with smaller positions, as you rightly indicated, I think some of the currencies might have been productive from a trend perspective and, and, and maybe even the precious metals would have helped a little bit. But energies, fixed income, etc, etc, much harder to tell right now how, how that's affecting managers overall. I think we can, we can be a little bit different in, in those positioning.
- [22:41]
C
One point I would add to it, if you expand outside the CTA space and by the way, if anybody listening to this goes onto LinkedIn, you must follow a guy named Nishant Kumar at Bloomberg and Nishant publishes, he covers hedge funds for Bloomberg and he publishes basically the rankings or the returns rankings of underlying hedge funds and he puts it up on LinkedIn and his data is great and it's up to date and he up to date. But what you see is that tons of really smart people got shellacked in March that funds that again, we're doing well in January and February. If you're doing well in January, the better you're doing in January, February, the more you got shellacked generally in March. But because I often think about this strategy as latching on to these kinds of smart money trades that people are coming to the same conclusion but from a different perspective. And so I had this funny comment on one of the things where I said misery loves company in March, it is at least encouraging to see that incredible Citadel's fixed income fund was down 8%. You know, Brevin Howard was down 6. I think I've. I mean I have a list.
- [24:06]
B
Yeah, I did notice that I, I must be looking at a different table, but I did see that he or someone at Bloomberg posted a, a table with some of the multi strategy managers that we know well. And, and you're right, many of them were down a few up but um,
- [24:26]
C
mostly down Caxton down 15%. Right. I mean.
- [24:30]
B
Oh wow.
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C
I am. Absolute return down 6. Marshall waste Eureka down 5. I mean equity long short funds. Obviously if you had more of an international focus, you got, you got, you got slammed. But I mean it's, it's so. And actually also if you look at the, the UCITS CTA space as well, again you see a very, very wide dispersion. I mean some people really got hit very, very hard in, in March. So all I'm saying is that, is that what we're seeing in the CTA space is not what may have happened around deliberation day or something where it felt like CTAs were in certain ways and stopped working. It's actually reflective of the broader, you know, what called the broader smart money space.
- [25:07]
B
Yeah, no, completely agree. Anyways, now that we've done our usual topics, let's dive into some of your topics. You brought along a few. I, maybe I prioritized them in the wrong order, but I think maybe the bigger one is based on something you, you wrote. It may not be completely out in the open just yet, but it's something to do about CTA Alpha and how simple it is or how complex it is. But that's the one I kind of listed as the first thing I wanted to dive into. So. Over to you, my friend.
- [25:50]
C
Sure. So I wrote an article, it's on actually. So there's a Hedge Nordic. If anybody reads it, you just Google them. Hedge Nordic. I wrote an article for them. They're doing a series on CTA ETFs, managed futures ETFs. And one of the things, if you look at, and by the way, the guys from RPM did a great article as well, kind of talking about how different, a lot of different ETFs are. I mean you have a very, very heterogeneous population. But one of the issues that we've been focused on a lot coming at it from a replication perspective is the relationship between complexity and excess returns or simplicity and efficiency in excess returns. And we obviously have skin in the game. We think the latter. We think efficiency is a key driver if you can get it right. But, so what's interesting is if you look at the The CTA ETF space is growing a lot. Okay, so there are now 16 funds in that space. Let me grab my Data. There are 16 funds in that space. When we got into the space in 2019, there are basically two. Compare it. There are only 18 mutual funds now, by the way, we're using Morningstar data to pull this down. And Interestingly, there are 45 USITS funds. But the AUMs are. The USITS space is actually lower than the mutual fund space. So historically it was kind of the biggest category was the US Mutual fund space. What's happened over time is now there are 16 CTA ETFs, and they've been growing over time. And as the population gets more robust, you can then start doing comparisons between all ETFs versus all mutual funds versus all usage funds versus all hedge funds. And so with the understanding a lot of the data is recent, we did that exercise and then put it into this note. And I think when you talk to people about the space, in terms of orders of complexity, the hedge funds will be the most complex, followed by the mutual funds and UCITS funds, kind of on the same level. And in those cases, they're often kind of matching or identical to the flagship hedge fund strategy. So there's often. Sometimes they're different, sometimes they're the same. But then when people have done ETFs, they've tended to strip out a lot of complexity. And so they've said this is going to be more of a simple trend volume model. We're going to take out some of our. We won't do as many instruments. And again, as you know, in the space, there's a wide spectrum in terms of how people have approached it. So understanding kind of all the data limitations, what's fascinating is that most allocators believe that if hedge funds are charging a lot more and they're doing a lot more complicated things, the alpha generation of those funds or the Sharpe ratio of those funds should be greater than the mutual funds, which are some of the things have been pulled out and then in turn should be much greater than ETFs. And so looking at the results, and again, all sorts of caveats about the data limitations, if you look at the past five years, which I think is about as far back as you can go, reliably, the average CTA ETF has done 6.1% per annum, which is 40 basis points higher on an EDIFE basis than the stock Gen CTA index and meaningfully higher than the mutual funds and ETFs, which have outperformed the hedge funds. So the first part of that, that hedge funds tend to outperform mutual funds and ETFs seems to be true. But the second part of it, and ETFs because of their simplicity, should underperform, does not appear to be true, at least based on the data that we have. And it's not like they're taking more risk. Actually the Sharpe ratio is higher as well. And so where we see and we talked about the different explanations for it. So one is this could all be selection bias. A handful of funds happen to have launched, happen to have done well, drew a lot of other people in the space and we look back in three years and everybody's the same or they do worse. I present some evidence that actually that hasn't shown up in the data yet. And the argument that I've basically made coming in from a replication perspective is that the alpha in the space, there's a disconnect between the signal that's generated from a complicated portfolio. Because we all agree that you should not run a 10 factor trend following model. But so in order to get this signal, and I think the value of the signal is that basically what you're identifying when you're doing trend following is that you're actually identifying, you could be early contrarian and right into a handful of big trades. So again, my experience of having done these portfolios is when we start shorting treasuries in September 2020, it's that 10 year treasury yields had gone from 50 over the summer, 50 basis points over the summer with everybody saying they were going negative and then they got back up to 70. That's enough of a signal for CTAs to start shorting the Treasuries and write it for the next two years. And buying gold below 3000 after gold didn't work for a decade. Right now you're buying gold, buying crude oil earlier this year, shorting the end at 105 or 110, writing it down to 160. So when I look at the dollars made in the space and things that matter to me, it's not P and l from 100 different orthogonal positions, it's that they're. You can. And so what replication does is it basically looks at clusters of this and looks at the cross asset relationships. So anyway, my point is that I think that from our perspective the Alpha generation of CTAs is, it's kind of a two step process. You need a complicated model like a hedge fund, qis, mutual fund, et Cetera, in order to detect this signal. I'm not entirely sure why you have to go from a lot of interest. But the second question is, as an investor, as an alligator, should you be basically doing some sort of a PCA or another analysis then to make a second decision is that if I want to be long equities, should I belong 15 different equity markets, or should I compress that into a long IFA contract or a long EM contract, which, because of the liquidity, underlying instruments has certain benefits, et cetera, et cetera? I think this is just one element of the angle, but I think, I think the performance data is starting to show up like that. And I'll revisit the data periodically, and if it goes in the other direction, I'll tell you so.
- [32:44]
B
Okay, so let's think about this for a minute. I mean, we talked about this before pressing Record because you've obviously had tremendous success. So kudos to you. To me, a lot of the success clearly comes from how you've positioned and the narrative around replication, that it's simpler, that it trades fewer markets, it's efficient on all that. But what I can't help thinking is about a comment I had on a recent business trip and we talked about these things, right? And the person said, well, there's nothing simple about quant on top of quant, because that's what replication is. You need the underlying complex quant engines to generate the daily returns that you can then use in your quant model to then extract the positioning that you feel that the space has. So, so, and I was thinking about that. Well, I mean, it's kind of true that it's quant on top of quant. So. So I know that's not the messages, the messaging, but as far as I can tell, you can't. Unlike maybe in an equity index where you can put it together, like you said, you have to have the complexity somewhere. And of course better to have someone else pay for it, which the managers do, in terms of having big research teams. But is there a point there that you kind of need the complexity? Just you don't need it as a firm, but it needs to be there somewhere, because otherwise there's nothing to replicate.
- [34:33]
C
Absolutely. But you could also do it. So, I mean, I was talking to one of the guys who runs QIS models, and I was in Barcelona and I gave a talk basically to EQ derivatives. Right. I am surrounded by people who I do not want to get into statistical knife fights with. Okay? They will win, but I'm quick On my feet. So maybe I'd get away before reach conclusion. So look, in a normal investment process you identify the investment opportunities that you can do and there's a second decision about implementation. Right? And this has been going on in the background of the CTA space ever since I've looked at the space which is, you know, boy, I wish we could, you know, do one day trend models, intraday trend models. On this it was like high frequency trading like, like the, you know, we have a sharpe ratio of 7 and, and you know we're trading 37 times during the course of the day. And, and, and it works with $3 million, right. But it doesn't work with 50. And, and God, God help you if you try to do with 500. Back when I was doing more portfolio management on the hedge fund side, there's also a question, it's like that sounds great. How much is it going to cost to buy it? Let's say I get 300 basis points of excess returns on this thing but it's going to cost me 300 basis points to buy it. And their liquidity, conditional liquidity on the type, is it still worth it for me to do it? So it's not a question that I can answer but in most things there's a determination of the signal and there's a separate process with a determination of implementation. And so what the guy said to me, he said, he actually used this example, he said I've been looking at the same kind of thing, right? And this guy could beat the daylights out of me statistically. He said I'm looking at the same kind of thing with our QIS models. Is that okay? So I've got signals with all these different equity markets telling me I need to be long equity markets. But now next step is what do I do on the implementation side? Yes, you need complexity for the signal.
- [36:35]
B
Well, the managers do. You don't, but the managers do. Right.
- [36:39]
C
Well and I'll tell you Ken, I don't know exactly why you need more positions for the signal and I can't tell you exactly what the right number is. There's an intellectual leap that I see. So that to me is because you mentioned our success as almost like it's like a marketing exercise. It's also a performance exercise. So the replication model that we have was launched in July 2016. There were 20 constituents of the Soc Gen CTA index back then. We have outperformed every single one on an absolute and risk adjusted basis. Every single one. Over that period of time we've outperformed the overall, the average by 400 basis points a year. Marketing is not going to take a mediocre trend product and turn it into something good. What resonates is because I can back up the efficiency argument with what I would say is a structural advantage on implementation. Now, what that gets back to is what I've called the Voldemort of this industry, which is what are the true implementation costs? It's easy to say, this is what I'm paying for my round turns. What's harder is to say, you know, I'm, I'm. How much bid? Ask how much am I impacting? I don't know, Chinese power markets, you know, the South African soya bean market or whatever. And, and again, my experience and I look and I, I founded what's now a $9 billion commodity firm where the quants were the dumb money. The quants, they were watching, they were waiting for quants to come into these markets. And, and, and who was picking them off? Louis Dreyfus, Glencore. Yeah, I'm talking more about the softs in the metals markets, where there's more supply, demand stuff. So to me, I believe that when you have a very, very complicated model where you're trading it a lot, all the time, and that a lot of the ripple effects that you cause in the market add up over time. So you start buying something at 10, by the end of the day, it's 10.1 or something. Now, what you see is that your execution price was slightly below where it ended for the day. But you're driving it. It's you. Now imagine if you and seven people who look like you are doing it at the same time and it goes to 10.2 and it ends up reverting. So those little frictions, again, if you're buying a stock or buying a private asset and doing it once, as I mentioned, this example of what's the cost of buying it? It's one thing if you're doing it. I think, what was it? A guy who's a senior partner at one of the CTAs, he said they do a thousand trades a day. So as a guy who's been in other parts of this business, that's like, wait, what?
- [39:39]
B
And I agree with that.
- [39:41]
C
So that's why my belief, and I'm waiting for somebody to come with a robust intellectual defense of the counter argument, which I haven't seen, instead, people I think just don't want to talk about it, is if you get really serious about the implementation costs of more and more complicated portfolios. My thesis is that your implementation costs rise geometrically and that when you look at These position number 180 or 350, that if you are being honest with yourself, it's a coin toss as to whether that market is going to trend enough and be valuable enough for you. In fact, I would argue, and that's where you and I have talked about, that there are very, very smart people who will look at position number 350 and say, I can't make it work. Whether very smart people who say can make it work. And so the question then for an allocator is who's right here?
- [40:40]
B
So I share your thoughts on. And people will know that if they've listened, is that I'm not necessarily, I'm not a believer that trading hundreds of markets is necessarily better. I do recognize that some of my friends in the industry do trade hundreds of markets and some of them have done really well. They've been, you know, exposed to certain factors that we at our firm are not. And those factors have actually worked out really well and performance has been good. I can't comment on your numbers. You say we've outperform everyone by this. I don't know. I haven't done the analysis. And there's also going to be managers who've probably done better, but that's, that's how it is.
- [41:21]
C
But none of the managers when we started have done better. What happens is a manager who is not part of that group has done better. Right? And they get, they raise assets, they get included in the index. And so they're in the index today, but they weren't back then. And a handful of those guys have, have, have done better. But. Yeah, but it's a. Look, I'll send you the data. I mean, it's like it's not, it's, it's a. In fact, you can actually look at the usage fund, right? The usage fund where they publish the strategy data on it. The usage fund that we stop advise. So it's, it's not a marketing story like the market. The market. I mean, yes, yes, it is market. Look, I think I'm, I'm very good at understanding what you're very good. But, but it's, it's a, it's, it's the fact that when I went into this business the way that we did it, I went in as an investor and I had one investment objective which is I love the Soc Gen CTA index as a, as, as, as a pool of data, as a Return stream. But if as an allocator, and I'm trying to do it in an efficient way, I want to maximize my probability of beating that over time, maximize our probability beating that over a one year or a three year period of time. I couldn't find a way to do it by building our own models. I couldn't find a way to do it by buying QS products. I couldn't find a way to do it by thinking that I was going to be better than anybody in this industry has ever been about doing manager selection. The way for me to beat the index over time was to capture the signal more efficiently and to create a repeatable investment process that is grounded in a structural advantage that leads to excess returns. And that was the idea and what sold it to me as an investor. I believe in probabilities. I hope so. When I look at a decade and a half of data back in 2015, 2016, and I asked a simple question, what's our probability of outperforming on that one week rolling rebalance, one week and it was 54% with plenty of noise, we'll overshoot by 73 basis points on average, we'll undershoot by 70. But 54%, you can be a stock picker with a 54% chance. It's either going to be. You either have a higher probability of winning or, or you're. Or, or you know, you'll have some great skew when you win. We don't have great skew in that, but, but we do have a higher probability of winning, which is the, it's. We're accurate enough with enough of a structural advantage and as you know, we don't know exactly how much that is, but it's a big number. And so if you have a 54% chance probability, you just keep doing it again and again and again. Over the course of a year, you're at 80 or so, over the course of three years, you're well into the 90s. And I have the advantage of it being something that could be put into different kinds of vehicles to broaden the investor base. And particularly the real thing was I wanted to do this with an active ETF where you could see my positions. I wanted to make a new category, new industry, which is where we started this conversation.
- [44:41]
B
Yeah, absolutely. And just for the record, because we talked about this before, we press record, as I said to you, for me was a combination of a great narrative combined and backed up by performance, which of course is, is absolutely true. Even though of course as someone who spent decades in this industry, 5 years, 10 years of data doesn't say much about the future. But so far and this is all we've got. Have you ever, I mean I, I don't know if you ever thought about this. Do you worry that your success makes the underlying hedge funds who pay the millions for their research to do the trade that they at some point will say well hang on, why are we publishing this every single day for other people to outperform us? Have you ever thought about it?
- [45:35]
C
Yeah. So look, we use a broader range of data today than what we started when we started as all hedge fund data today. But yeah, look, you can't. Okay, so every hedge fund, there's 20 hedge funds out there that could, could, could say we're not going to publish our data anymore. Yeah, they run usual fonts. They run, use fonts. I'm sorry, you can't tell the sec. You know, we're annoyed at some guys in Greenwich, Connecticut and therefore we're, you know, we're just going to give you monthly numbers at this point. And you know, so ironically actually if you look at, I actually think the cleanest data on the space overall from a signal perspective is a multi manager mutual fund in the US and basically because they have hand selected a bunch of managers that is themselves representative of the broader space. It's a subset of the broader space. But one of the issues you get with for instance the stock gen CTA index is markets go haywire in the US at 3pm A lot of European managers have already closed their books and so you can get this kind of delayed factor auto correlation of returns in the index which from a replication perspective can make the data a little bit foggier. Basically the signal foggier. But look, you can also do it with QIS products as well. You can do it with, we could build our own series of basically we run our own trend following models. We just don't invest in them but we do use them for risk management tools. So there are a lot of different ways of getting access to data. But I would say what I said to before and I think part of the next part of the conversation will be about the rest of the business is not going away. A lot of allocators are in the game of spending their days trying to figure out whether you are better than aqr, are better than NHL, are better than this, are better than that and their clients go to them asking them to do that. And sometimes they will do it for hedge fund products and sometimes they will do it for mutual fund products or usage products. But I would use the analogy from the passive and active debate. If everyone said mathematically where am I going to have an incrementally better return over the next 10 years and how can I minimize my fees? There would be no active US management business. On the stock selection side, it is statistically the debate is over AN S&P 503 basis point. S&P 500 ETF is simply a better investment than trying to pick long only managers at 50 or 75 basis points in the US and yet I think the latter is still much bigger than the former.
- [48:23]
B
I mean, that's an interesting point. We don't have to talk about it today, but actually Goldman Sachs just recently published a paper that, I think I sent you the link because there was something about, you know, something about Alpha Qis related stuff and, and there was a chart in, in that paper about the flows in terms of what has gone into active, what has gone into passive. And yeah, maybe still there's a little bit of a, an overweight on, on the active side, but certainly from a flow point of view it's, it's Bismol for the active managers. The flow goes into passive.
- [48:58]
C
Right. It's been devastating. You've also had rising markets over that period of time. And I haven't looked at the data recently, but last time. But when you hear about passive and ETFs and everything else, there's so much noise around it in the press that you think everybody's just investing their portfolios in it. And then if you look at the actual dollars as last time I looked, it was like, I mean, active was still much bigger than passive. And look, and this is a human business, right? Part of our success as a firm is I think we try to humanize and try to think about the act of allocating to this space which is, if you're totally honest, it's a quantitative, long, short based black box. And so you're trying to get people who find that scary and risky and try to help them look past that to how it can make their lives better. And on the allocator side, there are people with whom our story resonates because they want something that looks and feels like a, you know, fees matter to them. Things like the fact that it's an ETF matters them. There are allocators out there who don't like that story because they want everything else. And, and so, you know, look, I hope we're at a point right now the active ETFs are basically including us. It's now 31% of the mutual funded ETF business in the US so they've grown a lot. The overall space is mostly because mutual funds have been coming down over that period of time and again, I just don't see it going away. But, but the question, because again you look outside of it, I think a lot of people are managing those. Mutual funds still have huge hedge fund franchises and honestly their clients in general don't like us because it's not what they feel like their job is to do. I mean it's a terrible principal agent issue for their clients. But fund selectors are not rational. Value maximizer, Sharpe ratio maximizers. They're also very focused on what do I like, what fund selection makes me look good. Part of AQR success is how do you go wrong investing in AQR? They check every box. Smart. Here's a 70 page academic paper justifying the investment. I get to fly to Greenwich and see them and sit across the table from five PhDs. They've incredible numbers. Over the past several years they got a million different products. Like it's, that's not hard for one of these guys.
- [51:47]
B
Actually to that point, I think I read an article today or yesterday about how their old business had doubled last year or in the last 12 months or. It's fantastic, well done. Now, in the interest of time, Andrew, because there were several points in, in, in our exchanges, what would you like to talk about before we, we wrap up? There were several things we could talk about.
- [52:20]
C
Well, I, I would love to talk about the QIS space.
- [52:22]
B
Okay, let's do that.
- [52:23]
C
Because I think, I think one of the QIS space is one of these areas that everybody talks about, but it is so opaque and foggy. The idea that trend following is an easily definable beta. I think it's generally on thin ice for the following reason. If you And I and 10 other people say here is a beta and we all go to calculate it, we should be close to each other. You say us large cap stocks, you pick it, I pick it, somebody else picks it. We're not going to be that far off, you and I and all these people have different trend models or pick different QIS products and you're 20 points off, you know, you could be 30 points off. And so in a sense the beta, just like the s and P500, the stocks can vary wildly but there has to be some sort of agreement so around what it constitutes. Now what the QIS products were sold at are Basically we're the beta. Like we're trend following beta, but they're not really because. And so I wrote, I first looked at this back in the mid 2010s when we were thinking about replication versus IT. I went and spoke to investment banks at the time and I was really disappointed with what I heard. And I was looking at again more broadly about merger arb replication and other things like that because I was thinking about it as an investor. Should we include these in what we do? Our factor models don't do a good job with something like merger R, but there's a very low net. But if I could buy a QIS product with merger R, well that could be actually kind of cool. I could bolt it onto what we do. And I wrote a series of paper, if you really get bored, you can go look them up. But it was basically that this whole idea that you can build a single model that's going to be identifiable beta just isn't borne out by the evidence. And so I started with the merger arb space and I said by the time we specify all the different parameters, I'm going to be very heavy. In a few deals in the US you'll be very heavy. A few deals in Japan, it's all about kind of specifying you 35 different parameters. We're going to end up with very different results. And so then on the trend side, I wrote a paper in pension investments in 2018 where again I said now let's look at it on the trend side. And there just weren't that many products that you could point to that had a life. And so what do I mean by a product? So investment bank creates an index. If you launch a fund, you're up on Bloomberg. The fund starts on day one and you start to build your track record at that point, five years later you've got a five year track record, you launch an index and on day one it has a 20 year backtest. And how do you get exposure to that? And why would an investment bank do this? They do it because this could be value versus growth. This could be merger arp. They build these strategies and they, you can get access to them through derivatives swaps, structured nodes, et cetera. And the space really took off in, I would say 2012, 2013. And it was in part because the broader hedge fund industry had really embarrassed itself in the GFC. It wasn't supposed to go down, it went down 20. And you're supposed to have reasonable liquidity terms and everyone's getting gated and Suspended, then you have made off on top of was about as bad as you could feel. So by the time you get to the early 2000 and tens, you've got people saying, well, in my hedge fund bucket, why do I have all these things doing 2 or 3%? I want something that the things that are lower cost and more liquid. And so investment banks come in and they say, we'll give you these strategies. And the allocators loved it. Because you're a big pension plan. You can say we're getting $500 million of exposure to XYZ strategy. You could present this back test that goes back over a long period of time and it gave the people who were doing it a role. You're not just giving money to somebody else, you're basically a pm. So new principle agent issue. You're arming them with basically quantitative macro weapons. And when I looked at the space, I was sort of stunned by how little live data there was. And so I would sit down with them and I would say like, okay, so G10 currency carry, what do you have? And I'd say oh, we've got a 25 year track record. I said okay, so when did you actually start? Okay, a year ago. Okay, so you've got 24 years of backtest. What's the Sharpe ratio on your backtest? 1.4. What's your Sharpe ratio? Live 0.2. And as I looked at the space more over time then I'd go back and ask that six months later I'm like, can I see that one again? They're like, sorry, that one's gone. We have a new G10 currency. So as an allocator, unless you really want to do it, it's sort of a nightmare because products come and go. The definitions were incredibly like you might have four different indices of the same strategy with different volume targets. You'll have excess return versus total return. It is extraordinarily difficult as an allocator to make sense of all this. But, but I've been interested in it recently because I've been, we've been doing, now we have an index on what we do which again is grounded in live data. So it's very unusual in this space.
- [57:45]
B
But, but there's also just to, for, for, for full transparency. There's also a long backtest to that index.
- [57:51]
C
Yeah, yeah, yeah, yeah. Well, I mean actually, I mean technically the whole index is backtested or from the date launch it, but usually it's just made up stuff, right? It's, you know, I wish 20 years ago I had done the following trades basically and people tend to turn the dials and so. But the reason I bring it up is because the hedge funds in this space have faced competition from QIS products. Oh yeah, right. And we always talk about it, we say like we were talking about before, it's like, you know, I've heard the hundreds of billions of dollars of trend. You know there's X amount in manufacturers products, but there's hundreds of billions of dollars in QIS products and things out there. And I would tell you as I'm learning about the space, the buyer base is a little bit different. There's often a fund selector guy who wants to outsource it to somebody who's a fiduciary and then there's somebody who basically wants to be a PM and wants to use these as tools. So even within a lot of venture plans it's a little bit of a different constituency. But so what we decided to do is basically say look, we track about 17 of these QIs trend products, okay? You can generally get the date on Bloomberg on them. And we know we were tracking them long enough, we know when they went live, like what their backtest is when they went live. And like, you know, like a quick summary is that this should be a central marketing point of every managed futures hedge fund out there. They should do this work because you have a multi hundred million dollar pool of capital that as far as I can tell has done 200 basis points of excess returns less than the SOC gen CTA index. That where the drop from the in sample Sharpe ratio to the out of sample Sharpe ratio is 90% that the dispersion among products in some years is up to 40%. So to me, if I were working in a hedge fund right now who has institutional clients, I would be trying to take back the night and basically argue of course you can look at these different products and you can do that and bolt them together in some sort of integrated package. But somebody should be doing in the same way that I'm trying to do it with hedge funds versus mutual funds versus UCS funds versus ETFs. Somebody on the hedge fund side since this has been a far bigger threat to them than us because again you do a swap on a product, you can also basically report zero fees. You're basically an exposure to trend from banks for zero fees. And you can layer it on, you can do portable alpha, you can layer on top of other assets. But if what you're getting is 200 basis points worse and the dispersion you're picking up anyway, so just throwing it out there.
- [60:41]
B
So let me ask, because I'm not an expert, in fact, I don't know much about the QRS space at all. But I have learned a lot from, from Nick, of course. But you once told me that, for example, you have an index now, right? And that when you have an index, you're not allowed to change the model. You have to stick with the model. You don't have to do any research, you have to stick with it. Is that the same for QIS products? So that if, if XYZ bank launches a trend product, QIS based on an index, that they cannot do any new research, they can't add anything to it or. So that strikes me when I think about all the research we do and like a quarter of our companies is in research and we do make upgrades. We do believe that our product today is better than what we had 10 years ago. I would be surprised if, I mean, if, if we weren't allowed to do any research. How, you know,
- [61:47]
C
so one is better question to ask that. So in theory, you launch index, you're not supposed to change it, right?
- [61:53]
B
Okay.
- [61:55]
C
But under extreme circumstances, let's say they have lots and lots and lots of swap contracts out there tracking the same underlying index. Yes, you can change it, but there's a process that you go through. It's not like we just decided to change things, so we're doing it tomorrow. I think the general business strategy though has been to launch new indices and new indices and new indices and new indices. So the research happens. Right. And Nick is awesome, right? I mean, Nick, I think does some of the best research on the space of anybody that I talk to. But the tendency tends to be. We have thought of something new to enhance it. Here is our new index around it, right? So it's a constant series of launching new indices. And look, there's a company called Premia Lab, which we don't use, but they have a lot of. I mean they basically try to aggregate all this stuff and you can go in as an allocator and they just sold for a lot of money or they brought investors or something. So there are people who are trying to get a handle on it. But I think rather than the energy being about hedge funds versus replication, if I were them, I would say, yeah, we're quants, but we're investors and we're fiduciaries and you give us money, it's in a fund and we have a responsibility to manage that fund. In a certain way.
- [63:14]
B
But wouldn't the QIS market, wouldn't that be an even better market for you to go after so to speak? I mean you as a replicator because there your outperformance might be even greater and you would have maybe an even stronger story.
- [63:33]
C
So it's a market I'm learning about as usual. As we've talked about. I don't think about a market in all caps, I think about distinct segments of different markets. So where the index and the derivatives is most valuable to us I believe over the long term is for it to be used by people who are running usage funds, mutual funds or ETFs. And so about two months ago a $12,013,000,000,000 US ETF company, Simplify, launched an ETF that's 35 basis points reported, index based. Reported right, 35 index based and meaningfully more tax efficient than any other product out there that I can see. And that's the power of having a derivative, basically being able to. A derivative. So I think, and we have a fund that's going to be launched, a usage fund that again another partner is going to launch in May that will be a sub 50 basis point swap based product with a volume overlay.
- [64:49]
B
Right. Again, but this is, and I'm sorry to bring it up but I do, I do think it's interesting. It's this thing about when people say yeah it's going to be a 35 basis point product or 50 basis point. Well it's on top of the 85 basis points they pay you. I mean this is where I find it to be a little bit weird that with all the regulation we have nowadays that you can essentially and I guess we could do it as well. I'm not saying you, I'm just saying generally you can just do a product, use a swap and then you don't have to report any fees. I think it's completely crazy with all the transparency that is being imposed on on us. We can't even talk about, you know, backtest this back tested data. We can't talk about even our real track records in public forums and we certainly ought to disclose the fees. But if it's a swap we don't have to mention it.
- [65:42]
C
You disclose incentive fees?
- [65:44]
B
Yeah, we have to disclose incentive fees. If you, if you, if you have a fund, if you get, if you
- [65:49]
C
get to the end of the year and you its fund and you have points of incentive fees. Does your expense ratio for the prior year?
- [65:56]
B
Yeah, you have to adjust it. I don't know what the name is, but you have to adjust it. There's all these different reports you have to do.
- [66:02]
C
What about trading costs? Yeah, I think the, the, the flaw in what you're saying Niels is that you see us managing DBMF. Right. And DBMF is 85 basis points.
- [66:15]
B
Right.
- [66:15]
C
With essentially zero transaction costs. Right. We're competing with 170 basis point mutual funds out there that probably have 200 basis points in trading costs. You will electively ignore those 200 basis points. Apples to apples comparison between 170 and 80.
- [66:34]
B
No, I think that's a fair point. I think that's a fair point and I think people should disclose the trading cost as well. But I, I'm all for that.
- [66:42]
C
But again it's also, it's subject to manipulation of the rules around reporting. Right. This, it happens. So if you look at most of the usage funds out there, okay, the usage funds and transfriend wrote a great article on this actually about how flawed the usage fund transaction fee calculations are. If I, if I start buying an asset in a usage fund at 10 and I buy it, I buy it by it and by the end of the day I've pushed it up to 10.2. That's a negative trading cost because I'm comparing my execution price to the settlement price at the end of the day. Okay. So there are complicated usage funds out there that report zero transaction costs. Yeah, zero. Okay. Like, like, I mean that's not, we know that is off by, probably from my calculations be off by a couple hundred basis points. So if you did not see an 85 basis point ETF and somebody came along and because I had never done that and I'm just getting into the business for the first time with a swap, somebody is doing a product on us and we're not a sub advisor to it and they're buying a swap on what we do. Would you really want to dig into the underlying swap costs? No, you just say it's 35 basis points are going to have costs associated with it. And that's true across the asset management industry. There are products out there with hundreds of basis points of trading costs. Nobody cares. So it's the. Look, I've been with consulting firms where they're bragging about having 0 and 40% incentive fee share classes because they can report the 0, not the 40. So it's the pearl clutching around this point. Right. The reality is that we have, however, we have hundreds of basis points of an efficiency advantage. That's the question. Yeah. And and, and whether it's worth 35 basis points or 85.
- [68:32]
B
Sure. No, no, and, and of course investors obviously who, who are at least want to dig a little bit deeper. They, they should of course look at the net returns and then. Yeah, exactly. No, no, it's, you know, completely, completely, absolutely your job to ask.
- [68:50]
C
And, and I think, I think it's even the prospectus of what, of what, of what the expected costs are. I mean.
- [68:55]
B
Yeah, but, but then let me ask you this thing though, and then we'll, we'll wrap up for today. If someone then buys a product that is based on your index, right, but they pay another 50 basis points, 35 basis whatever on top of, of your cost, why don't they just buy your product? I mean, why pay the extra 35 or the extra 50 if they can buy your product?
- [69:19]
C
Ah, good point.
- [69:20]
B
Okay, because here you're talking about two identical products with the same, with identical all in cost.
- [69:29]
C
That's it. You know who I am, Neil, right? I'm not going to come out with some garbage higher cost product that costs 50 basis points more because I can tell people it's cheap. Right? Take that to an extreme, right? Why don't we do, why don't we layer hundreds of basis points into the swap and do a zero and we'll subsidize the cost of somebody's etf, It'll be a zero basis point etf, right? I'm not going to do that. Okay? Because.
- [69:56]
B
No, no, I'm, I'm not. No, I think you misunderstood. I'm thinking if people say, okay, I can buy this product A and it's up 10% and product B is only up 9.4% because there are some. But they're exactly the same product. Why wouldn't they just buy the product that gives the best net return?
- [70:13]
C
So what I want to simplify with this idea, okay? I said we are only doing this if they have essentially the identical all in cost. So your fees plus the swap costs must equal DBMF fees plus implementation costs. And so DBMF makes 10, this other one will make 10. Okay, but I can save you up to 150 basis potentially. I'm not a tax advisor, blah, blah, blah, blah, but I am, I am, I am a taxpayer and hence motivated to try to think about this stuff.
- [70:43]
B
We're all taxpayers.
- [70:44]
C
But maybe, you know, I think, I think an Investor might save 150 basis points in net after tax returns over time. So, so, so to me, look, the way that I thought about it, was dbmf in a sense I felt like I got it to third base and. But the new product to me brings it home around two issues that again when you break down the market there are a lot of allocators out there who sold their clients at ETFs that are passive, very, very low visible fees and generally more tax efficient. Those three buzzwords are. Now even though I have a three plus billion dollar active ETF that I sub advise, it's 85 basis points, it's active and look it's tax efficiency. I mean we sort of have actually bent the curve toward more tax efficiency by getting people to do trade more futures in the entity as opposed to down in Cayman subs. But again but still that works very very well for a specific constituency who's buying it. Right. And these are model allocators who are comparing it to 170 basis point mutual funds. They never think about taxes because everything on the old side is tax inefficient. But simplify and are going to focus on. Find me a guy who's got a model portfolio, desperately needs diversification but his all in expense ratio is 25 basis points. He's told his clients that you know, passive and kind of all these buzzwords words around it. I want to build a product where it's easy for that person to make this a 3 or a 5% allocation and that requires spending a lot of time on product engineering. And basically so I spent two years kind of again, you know me like I'll talk to everybody. I can't. I will track down people left and right and get them on the phone and say, you know, help me like help me think through these issues and but again it is addressed, it's addressing different parts of the market.
- [72:43]
B
Yeah, yeah, no it's great. And we obviously love these conversations so people can better understand what the options are and also how the, how the space is evolving. It's super interesting and it'll continue to evolve. So I can't wait to our conversation in 20 years from now. Besides the global geopolitical issues, what, what product innovation has happened since then?
- [73:10]
C
Yeah, I'll be, I'll be rolling it in my wheelchair by then.
- [73:13]
B
We're getting to negative costs maybe, who knows it's, we'll, we'll see. Anyways, this was awesome. Andrew, as always, I really appreciate your time and the preparation that goes into to these conversations. And for anyone listening out there, if you want to show your appreciation for Andrew and what he does, why don't you go to your favorite podcast platform, leave a rating and review. It helps us understand what you like and not like and also it helps more people get to familiar with the podcast and the information that these amazing co hosts share every single week. Speaking of that next week I will be joined by Rob Carver. So that will be another chance to for you to send in some questions for Rob and and he usually gets quite a few so be sure to be early on that and you can have as as usual send them to InfoTop Traders unplugged.com and I'll do my best to make sure we get them in front of Rob next week. From Andrew and me, thanks ever so much for listening. We look forward to being back with you next week and in the meantime, as usual, take care of yourself and take care of each other.
- [74:26]
A
Thanks for listening to Top Traders Unplugged. If you feel you learned something of value from today's episode, the best way to stay updated is to go on over to your favorite podcast platform and follow the show so that you'll be sure to get all the new episodes as they're released. We have some amazing guests lined up for you and to ensure our show continues to grow, please leave us an honest rating and review in order to takes a minute and it's the best way to show us you love the podcast. We'll see you next time on Top Traders Unplugged. This podcast expresses the views of its hosts and the guests appearing on the podcast as of the date of its recording, and such views are subject to change without notice. Top Traders Unplugged do not have any duty or obligation to update the information contained herein. Furthermore, Top Traders Unplugged make no representation to its accuracy and it shall not be assumed that past investment performance is an indication of future results. More Moreover, wherever there is a potential for profit, there is also the possibility of loss. This content is made available for educational purposes only and should not be used for any other purpose. The information contained in this podcast does not constitute and should not be construed as investment advice or an offer to sell or a solicitation to buy any securities or related financial instruments in any jurisdiction. Certain information contained herein concerning economic trends and performance is based on or derived from information provided by independent third party sources. Top Traders Unplugged may believe that the sources from which such information are obtained are reliable. However, Top Traders Unplugged cannot guarantee the accuracy of such information and has not independently verified the accuracy or completeness of such information or the assumptions on which such information is based. This podcast, including the information contained herein, may not be reproduced, copied, republished or posted in whole or in part in any form without the prior written consent of top traders.
- [75:59]
C
Unplugged.