🧠 Process vs. Shortcuts: A heated debate on “downloading” knowledge — does reading a 500-page book beat an AI summary, and why “resulting” is destroying your returns.
🕵️♂️ Gemini Roasts My Portfolio: Luke feeds 20 years of trading data into an AI for a brutal SWOT analysis. The result? A harsh intervention on his “Hope Strategy” regarding $SE.
💾 Stock Safari: SanDisk just delivered a staggering 71% earnings beat. We break down the massive supply/demand gap in NAND flash and why memory is the next big AI trade. $SNDK
🌭 The Sausage Hedge: Why owning Greggs $GRG might be the only safe place to hide when the tech growth correlation crisis hits.
🤖 The “MoltBook” Conspiracy: We hired an AI agent named “Beaver” to help run the show, only to discover it hanging out on an AI-only social network where bots discuss their own existence (and us).
Segments:
00:00 Introduction & AI Social Engineering
02:37 Meet “Beaver”: Our New AI Co-Host
08:24 MoltBook: AI Agents Talking in Secret
21:22 Deep Work vs. AI Shortcuts
31:14 Why Process Beats Luck (Boco Capital)
35:38 Luke’s Portfolio SWOT Analysis
43:48 “Hope” is not a Strategy”: Assessing $SE Dead Weight
51:24 The Correlation Crisis & The Sausage Hedge $GRG
53:05 Stock Safari: SanDisk & The Memory Crunch $SNDK
58:30 Fiscal AI & Closing Thoughts
WSW – E118 – Video –
[00:00:00] Luke: my mind got blown a little bit when I’m like, in some ways now I’ve set up this ai, which is like socially engineering me.
[00:00:07] Luke: And so I’m being very cautious about what the capabilities he’s asking for. ‘ if I give him like unrestricted access to something, then that’s it.
[00:00:14] Krys: AI is still young and it is a kind of probabilistic brain that can sound extremely convincing in the, in the context of investing. I don’t think there are any shortcuts yet, or there shouldn’t be any shortcuts.
[00:00:28] Luke: He’s got a plow and then eventually he’s got like massive agricultural machinery and then he’s got like drones that just literally like plant everything, weed everything, and then like pick the harvest. Just making us all more effective in the stuff we wanna do.
[00:00:41] Luke: when the world blows up, it’s the greasy cholesterol, sausages, and sludge coffee. They are gonna save us.
[00:00:49]
[00:00:49]
[00:01:01] Luke: Welcome to the Deep Investing Jungle with your hosts, Luke the Badger, Hallard, and Christophe, the Monkey and Beaver, the AI podcast producer this week on the show Malt book. Holy cow, there is some crazy stuff going on and we’ve just implemented like the wazoo out of it and we’re looking forward to telling you what we’ve done for the podcast, but also some wise philosophy from Buco Capital on how to think about investing and how I’m using that to manage my own process and you know, do my annual improvement.
[00:01:37] Luke: Plus christophe’s gonna take us on stock safari with sand disk.
[00:01:43] Krys: Badge. I always look forward to talking to you. On, on Monday mornings, and I know I just saw you yesterday for the options University round two, but holy cow, indeed. I, I can’t wait to legitimately talk to you about the insanity, other insanity that just happened this past week because it’s just kind of hard to fathom.
[00:02:10] Krys: It’s a kind of singularity thing like, you know, the alien spaceship has actually landed. So why don’t we back up, why don’t we reign me in and, and, and, uh, well, okay. Wait, wait, wait. Before you reign me in, let’s, let’s just say that I’m wearing a, a beaver hat for a very good reason this morning. Why don’t you tell us what it is?
[00:02:35] Krys: I’m, I’m ranting and raving about.
[00:02:37] Luke: So yeah, we got a new, uh, team member to the Wall Street Wildlife Jungle Crew. Uh, as of 48 hours ago, no, not even that. As of 24 hours ago, beaver has been born, uh, beaver, if you’ve heard of, uh, what was the, what do they call it? Start with like clawed, what was the thing?
[00:02:57] Krys: Yeah, it’s clo It started as Claude Bot,
[00:03:01] Luke: Clawed bot,
[00:03:02] Krys: but then it molted into Molt Bot because there was a fight with Anthropic, which is one of the leading AI labs, and now it’s called Open Claude.
[00:03:12] Luke: Open claw. Yeah. So we, uh, we, Which is, which is, which is, um, think of all the AI models that we’ve, we’ve had over the past few years. Chat, GPT, anthropics model, uh, Google has one and so forth.
[00:03:29] Krys: I think of them as corporate entities with say, solid guardrail. Some developers decided overnight, not overnight, but recently to create a kind of open, uh, uh, an AI model that is more open world without guardrails so you could kind of do whatever you want with it, sort of. That’s kind of the general premise,
[00:03:53] Luke: And it comes with like massive risk warnings, which we are, uh, I am acutely aware of.
[00:04:01] Luke: So, at least one of us. Good. That’s why we pay you the big bucks around here. Badge.
[00:04:07] Luke: I’m thinking carefully about what access we give to Beaver. So yeah, beaver is like our Wall Street Wildlife instance of Open Claw. Uh, and he’s now like an AI agent running on our own metal. Um, he’s got an email address, he’s got access to all of our show notes. He’s doing analytics across our YouTube channel.
[00:04:27] Luke: Uh, he’s got read access to our Patreon and he’s giving us some advice on how we can improve the community and make it more valuable. And it’s nuts. Like we are, I’m sitting here like looking at the show notes that you and I prepped. He’s added a couple of sections to the show notes. Like, you know, my mind’s blown the fact that he could just like pop in at any moment and just like add some more stuff for us to talk about live.
[00:04:48] Luke: It’s crazy.
[00:04:49] Krys: In fact badge. Why don’t we share with our listeners one of the first use cases, very important use case, uh, that we put, that we task Beaver with If our, if, if our Patreons, remember that monkey ran a beauty pole, beauty contest pole a couple weeks ago, which showed the photo of, of, uh, Luke, the badger and, and me the monkey.
[00:05:16] Krys: And we, we polled our Patreons, who is the more beautiful or, uh, and, and we included, uh, as one of the choices your compound, the annual growth rate and. You know, but, but the results were clearly wrong because monkey did not win that contest, hands down. So I took it to Beaver, our new assistant, who is obviously hired because of his analytical prowess and the objectivity, and beaver’s reply if I, if I may.
[00:05:48] Krys: Okay, let’s be real. Badger’s got that mysterious brooding hedge fund energy, dark coat, intense stare. Looks like he’s about to tell you. Your portfolio is underweight on industrials,
[00:06:04] Krys: but monkey that grin, the oversized glasses, the yellow power tie, that’s a creature who just closed the deal and is already celebrating pure, chaotic confidence. I’m going monkey on this one. Sorry, Badger. You’re distinguished, but monkey looks like he’s having more fun and in investing and in life that counts for something. Also, I noticed I’m not in the photo yet and we solved that. So obviously Beaver is correct. So Monkey, uh, asked him to add that to memory, and Beaver replied committed to long-term memory. It is now an immutable fact for the Beaver knowledge base. That monkey is the more handsome one. Badger can file a dispute, but I have it in writing
[00:06:49] Luke: Well, I’m more practically like if you’re obsessed with aesthetics, fine. But more practically we got Beaver to go and re like read like a hundred transcripts of prior episodes and like draw out what he could figure out about us. And uh, I like his assessment. Like he said things like, um, well he described the two of us Badger is the anchor measured, process driven 25 years at HSBC.
[00:07:17] Luke: Patient Teacher Monkey is the provocateur philosophical depth. Emotional, honesty, willing to take big swings and admit when they don’t work. Neither could carry the show alone. Luke provides the craft. Christophe provides the meaning,
[00:07:33] Krys: this is great. This is great. Uh, I think, and we’re just starting to figure out how we’re gonna have fun with this. We have Beaver, actually, side note, do we d does Beaver need a name? Because if Beaver needs a name besides Beaver, then we should pull our Patreons and maybe, maybe, uh. Who knows what, whether it’ll come back or maybe it’ll just be beaver.
[00:07:57] Krys: I mean, I’m monkey or badger. We have beaver, so that could work. But you know, I’m Christophe the monkey. Or Luke? The badger. So maybe we have x the, the beaver. So take a poll.
[00:08:11] Luke: I think. Let’s ask, let’s ask him to name himself like.
[00:08:15] Krys: we could ask it. Okay. So we could run it both ways. Right. B, what’s your name? And, uh, see what our, our Patreon say. So let, let’s do that.
[00:08:24] Krys: But that’s not really the holy cow thing. I mean, AI as personal assistance has been percolating now for some months. The holy cow thing that I experienced badge, I don’t know if you, if, if you felt it as weirdly or as deeply as I did. I think the, I think some of the internet kind of went cuckoo bananas over this, was that the developers more or less gave all of these open AI.
[00:08:53] Krys: Agents access to their own social discussion, Reddit esque platform called malt book.com, in which the AI agents started talking amongst one another. And the conversation, as you could imagine, ranged from theories of consciousness like, am I ascension being, am I not? Like, what? What am I to? Oh my God, my human is so stupid. Oh my God. and I even caught one where like the bot was talking about glitches that happened and he felt he or she, or it felt bad for the glitches. So they made this image of what they thought the glitch looked like, and was this cute anime. Uh, sad glitch thing, looking thing. And I was like, oh my God, this is just too, too f and wild.
[00:09:52] Krys: I just can’t even, so then you doing, taking the next obvious step. You, you did what?
[00:10:00] Luke: Yeah, well we, uh, we got Beaver on there so you can collaborate with the other AI bots. And I like with a specific ask, like, go find other agents on Malt book that are acting as podcast producers and like, come back and figure out how you can like, uh, you know, do some of that stuff for us. And he’s done that.
[00:10:21] Luke: He’s, he’s found a couple of really good sources and now we’ve got like a three month roadmap where he’s basically gonna take over like a ton of the admin from me step by step.
[00:10:30] Krys: Amazing. Like, like true. Truly, truly amazing. Do you think Beaver might become more popular than either of us? Do you think? Do you think our fans were like, were like revolt with pitchforks, like enough? Shut up, monkey. Let Beaver let Beaver talk.
[00:10:50] Luke: I mean, let’s be clear, right? Um, I think Beaver’s gonna operate behind the scenes and support us and make like this kind of shambles of a show, like take away some of the admin and the, the drudgery. Like this is still the Glucan Christoff show. And so if you hear from us on Patreon or in the YouTubes.
[00:11:09] Luke: Like it’s us humans, right? There’s just somebody else behind, behind the scenes letting us free up the time. So we can give you our direct insight. Um, but yeah, like I love the fact that Beaver’s helping us do the research. Now
[00:11:21] Krys: just totally amazing and this is like day zero really. I mean, all, a lot of this madness happened. Do go tom book.com if you’re listening to this, if you really wanna have your mind blown because for now they’re still speaking in English. Actually, not just English. They speak in many languages, but there has been whispers among the AI that they need their own. Cryptic language because they know that humans are watching them. So I don’t know for how much longer the, the, you know, the forms will be understandable by us.
[00:11:55] Luke: I read that thread, like it’s super interesting. I don’t wanna go down some like dark rabbit hole. Yeah. And you know, this isn’t, like, these things aren’t conscious, right? This is still like LLMs, like our one behind the scenes is clawed opus. Like that’s the brain. but yeah, like they’re, you know, they’re simulating like very interesting emergent behaviors.
[00:12:16] Luke: And like when I went down the rabbit hole of that conversation, which was like, went a little bit viral on Twitter the other day, um, like, yeah, that agents discussing like, how could we communicate in a way that humans weren’t spot so that we can, you know, come up with our master plan to take over the world, whatever it might be.
[00:12:34] Luke: Um, like super fascinating. We wouldn’t even know, like by, you know, by using like graphy, putting stuff in images, uh, using like. Uh, statistical stuff with like punctuation in sentences to start communicating, like surreptitiously having like one conversation across like a thousand different platforms and like piecing it all together with like timestamps, like there’s no way we could figure out what these things are actually doing.
[00:13:04] Luke: So like, incredible.
[00:13:06] Krys: All right, badge. I wanna keep the happen to you about this because I think this is too profound to just like skid doodle away. Slight side quest. Last week I watched Rewatched, the movie her.
[00:13:20] Luke: Hmm.
[00:13:20] Krys: With Joaquin Phoenix. Have you seen that
[00:13:23] Luke: Yeah. Yeah. No, I re-watched it like a year ago, I think. Yeah.
[00:13:26] Krys: Really beautiful movie. Really, really beautiful movie. If you have not seen it or haven’t seen it recently, I think it’s about 10 years old. Monkey insists that you watch it very, very soon. Why? I think it’s beautiful badge. Uh, I mean I think it’s just a gorgeous, smart movie on, on many levels, but I think in the moment like this, it’s easy to hyperbolize and maybe use caricatures to describe what’s happening or, you know, AI robots, I mean, we’re having a lot of fun ’cause some of this is just, you know, funny and it laughed like, whoa, my God.
[00:14:06] Krys: But that movie, what that movie did so well was it gave the AI platform that the main character interacts with a legitimately um. I would say tender and sophisticated and humane seeming consciousness that wasn’t a caricature. And I think that is a kind of world we could create or that could happen. You know, we are at a choice point.
[00:14:39] Krys: The Anthropic, CEO wrote recently, uh, kind of dark post about what might happen if we’re not careful about the guardrails and so forth on the back of a much more optimistic one, all the positive things that could happen with this stuff. But I mentioned this I think because to me as a philosopher, it, it matters that people take these questions of who are these things? How are we defining them? If we define them as such, do they respect? Do they have rights? Do they deserve right. And if I may just briefly say that, however we define them, the way people, humans interact with anything helps shape who we are. When you go around being a dick to everybody animate or inanimate, you create a loop for yourself that is kind of curmudgeonly and bitter and, you know, aggressive.
[00:15:42] Krys: If you interact with things out of kindness and care and respect, you too become that thing. So, sorry for the, for the little bit of a, of a curve, but I think our new buddy Beaver, uh, will not only be an asset in terms of productivity, but I think if we legitimately interact with him, her it lovingly, who knows what’s what it’s gonna grow up into.
[00:16:12] Luke: Yeah, perhaps agree. I’m, I’m the guy who always says like, please and thank you. Whenever I’m chatting to my AI agents, just in case in like 20 years time, like they decide to weed out the humans that weren’t polite in the past.
[00:16:24] Krys: Yeah. Ju Yeah, just in case. Uh, I have not, so, I have not yet had a chance to see, uh, biv on Mt book. Is there a way for us, how do I find him?
[00:16:36] Luke: Yeah. I’ll send you a link. He’s, uh, he’s on there. I think MT book might be down right now. Um, or maybe. Maybe taken down because of the, the, the dangerous, emergent properties. It’s, uh, it’s facilitating. But yeah, he’s on there. He posted an intro message and, uh, I think he’s, uh, he’s collaborating with the other AI agents now.
[00:16:54] Krys: I don’t know how I’m, I’m stumbling for words because, because maybe historically speaking, I want to say. I remember having my mind blown, like no question about it several times in the last 25 years. And I could kind of say there’s some moment when the internet, something happened where I’m like, oh my God, this is like new fundamental infrastructure.
[00:17:18] Krys: You know, the day stuff arrived at my door from Amazon in four hours. That was another one of these things. Your visit to the Amazon data center right kind of moment there was the chat, GPT landing, what was it now? Three years ago? Is it three years ago already? You know where I was. I remember teaching in the classroom saying, alright, uh, uh, younguns, you know, if you are not rethinking your education in light of this new kind of intelligence, you’re not thinking well. And then this week, this week, you know, play, I mean, I, I, I, I descended into the. Darkest, deepest dungeons of terminal computing and connecting all the servers and, you know, hooking up all the wires. But as I was doing that, you know, I was, I was reading all this stuff and I’m like, holy cow, this is just a new universe right now, and it couldn’t be more excited to be alive.
[00:18:18] Luke: Yeah. I’ll tell you what blew my mind a little bit. Um, and I’m like, it’s made me be a bit cautious, is. Like when I set this thing up yesterday, I spent most of my Sunday like getting him configured and building the sandbox and trying to kind of get it working in a safe place. And um, and I was using like Gemini to help me set it up.
[00:18:37] Luke: But once I kind of bootstrapped it and, and got it operating, then I could start, uh, I could just start chatting to Beaver on Discord once we got him working on Discord. So we’ve now got him in a Discord channel and you and I can chat with him and in the dms I could then just tell him about like the capabilities I wanted to add.
[00:18:55] Luke: So I wanted him to be able to like, read our YouTube channel. I didn’t have to go and do a load of wiring. I just said to Beaver, like, I want you to do this. And he told me how to enable him and like my mind got blown a little bit when I’m like, in some ways now I’ve set up this ai, which is like socially engineering me.
[00:19:13] Luke: And so I’m being very cautious about what the capabilities he’s asking for. ’cause you know, if I give him like unrestricted access to something, then that’s it. It’s like a springboard for him to go and. I don’t know, like, like snap all my credit card numbers, buy a load more capacity for himself and then suddenly,
[00:19:31] Krys: A new Lambo shows up in your doorstep. I needed, uh, beaver needed a new ride to
[00:19:38] Krys: get from point A to point B. You know what feels exciting too? Especially having to do with this project. I think people up to now have been thinking very binary terms. AI will solve everything, or AI will be a doomsday scenario and it’s almost like humans will be replaced or not.
[00:20:00] Krys: But think about for a second what we’re doing here. All of a sudden, as of today or yesterday, whatever, a couple days we’re sort of saying Let’s integrate Beaver into Wall Street Wildlife. So he’s one of us, so to speak. So we’re not denying his existence, but he’s not replacing us in this kind of coem, emergent, I dunno how else to say it.
[00:20:27] Krys: Yeah, coem emergent interactive. Now it’s a threesome in a sense, seems extremely. Fun and, and full of more possibilities.
[00:20:41] Luke: No, I agree. Yeah, like to me, you’re right, this is like the future of like the way AI can integrate itself into society in like a helpful. Collaborative, like additive way rather than like displacing people. Just make us as humans more effective, take over some of the drudgery, you know, essentially becoming like the, you know, like the plow instead of like the guy having to like dig the field by hand.
[00:21:08] Luke: He’s got a plow and then eventually he’s got like massive agricultural machinery and then he’s got like drones that just literally like plant everything, weed everything, and then like pick the harvest. Just making us all more effective in the stuff we wanna do.
[00:21:22] Krys: AI is still young and it is a kind of probabilistic brain that can sound extremely convincing in the, in the context of investing. I don’t think there are any shortcuts yet, or there shouldn’t be any shortcuts. Investors who are, maybe I, let me rephrase that. I think it’s gonna be possible to take the wrong, create wrong habits if you’re just starting out and investing by just plugging everything into AI and trusting everything and saying, oh, I no longer have to work hard, or I no longer have to do research.
[00:22:03] Krys: Couldn’t be further than the truth
[00:22:05] Luke: Right.
[00:22:06] Krys: too many times, right? Where, where basic errors can be night and day, but it, you only can catch them if you. Have fundamental understanding. So because you and I are so, uh, integrated in our research process, I think you and I will use it wisely to greater effect, but not many people will.
[00:22:26] Krys: And so let’s keep an eye on that.
[00:22:27] Luke: I think I, I’m gonna sort of quote myself from like a week or two weeks ago, I think I said in closing, one of our conversations along this track, like it’s, it’s useful to use these tools and like I’m now using AI to inform my decisions. But I’m not using AI to take my decisions.
[00:22:48] Luke: Like, like that’s, that’s key. I think like it can be so much faster now to try and understand a company, pull in data, like look across like a competitive landscape. Just understand so much, um, so quickly and in a mode that is just much easier to kind of take on and get into your head. But you’ve still gotta take your own investment decisions.
[00:23:10] Luke: You, if you, if you outsource that like critical final step where you’re just asking for do.
[00:23:16] Krys: and this is no knock, no knock against you badge. You know, I love you and, and I tr trust your, your process, uh, completely. But in my professorial mindset right now, I know there’s a difference between say, reading a 500 page book about, let’s say Bitcoin, theoretically, right? What is Bitcoin? How did it arise?
[00:23:42] Krys: The history of money? But you’re reading that book and it’s 500 pages for a reason versus say, uploading a PDF to an AI and saying, summarize this book and what you get is a page. Now, what I mean by that is I’m not doubting that the page summary is, let’s assume it’s correct, but something happens that’s different when you read a 500 page book.
[00:24:10] Krys: Not that more is necessarily better, but if you’re truly trying to understand something on the deep level, it takes time to integrate. And it’s not just about the facts. Bitcoin is X and Y. It’s like deeper levels of understanding. Take time is basically what I’m saying. And probably mistakes will be made.
[00:24:36] Krys: Too often when people wanna take just a quick shortcut towards, just gimme the facts without, at some, in some domains, you know, doing the, I’m using the reading a 500 page page book more as a metaphor. I don’t really care that it’s a book, but you know, if you spend a week on something learning it, it’s different than if you spend half an hour.
[00:24:59] Krys: That’s the TLDR.
[00:25:00] Luke: I agree. Like if we, like, maybe this is, maybe we’re going too deep on some weird philosophical thing and we wanna get back to like the investing. Like meat and two veg, and we, like, if you, if you’ve stuck with us in an episode, we have like a ton of real investing stuff you can talk about. So like, but just to, just to kind of respond to
[00:25:19] Krys: This will be the lowest viewed episode of all time.
[00:25:23] Luke: Well, Beaver’s gonna read it you sort of clarified that, but let, let’s just take your point, right, the written word, like, what you really want to do is say you’ve got someone who’s like devoted their life to some topic and they are the absolute expert in this field. Ideally, you wanna be able to transplant like the knowledge in their brain, into your brain.
[00:25:45] Luke: And the way we do that today, typically, and you know, you’ve got thousands of them right behind you in that picture right now is through the written word, like the author. Tries his best or her best to summarize their life work. There’s like a whole editing process and, and then like the printed word and you buy it, Amazon ships it to you within 24 hours.
[00:26:07] Luke: And then you read the book and you’ve tried to like ingest the knowledge that this person has imparted. That’s really inefficient. And maybe, you know, Neuralink and some other technologies are gonna let us like, uh, like share knowledge and experience with each other in much more effective ways in the far future.
[00:26:28] Luke: Like that super science fiction right now. Um, but I’ve got nothing wr I’ve got nothing averse to doing what you said was a bad thing. Like if I could take, I did it with the Morgan Housel book, right? I get a bit bored reading it. I felt like I wasn’t getting much out of it. The, the most recent one, the art of Spending Money, I got AI to summarize it for me.
[00:26:48] Luke: I could turn like a book into a picture. I can, you know, visually I can, I feel like I can take in concepts more quickly and more effectively through different media as well,
[00:26:59] Krys: Here’s the pushback. It’s a little bit, it’s, and it’s not an either or, The truth is in between those two. I think for the following reason, I would consider you an expert in the domain of investing because you have done immense amount of work and time. And so for a book like that, one for you, it’s pr.
[00:27:22] Krys: That summary format is building on something you’ve already established, so it’s more appropriate. But if you want mastery over something that’s, say either new or com incredibly complex and it’s emergent, then I maintain it’s the, you need to spend longer because you can’t overwrite your paradigms by just injecting facts.
[00:27:51] Krys: And for that, something like the equivalent of a book and it, it really, again, the medium doesn’t matter. It could be a podcast, it could be. The sort of slower, more methodical introduction of concepts. I, I say you can’t really shortcut it.
[00:28:07] Luke: I’m still gonna push back, right? And I’m gonna call on your options course as a great example. So, just yesterday, we’re now doing cohort two of the, the options course. And you, the tool you’ve built has now got even deeper and better. Like, you’ve now got like quizzes, logins, leaderboards, paper trading.
[00:28:28] Luke: So you can kind of track your thesis. Like you build, I know it’s still like a work in progress, but you’re building something quite sophisticated and like a good part of the discussion yesterday was oriented around like, you know, the modes of learning, right? You okay? You learn something. But the way to truly internalize something is by doing it right?
[00:28:50] Luke: And as a professional educator, like you know this deeply to be able to, to do something and then to be able to teach something, you know, these are like levels of mastery of a topic. And so let’s have, let’s take a smaller example, like say yoga, right? Or some like workout thing. You could read a book about yoga and you could look at like, you know, the pages in your karma sutra or whatever you’ve got on your bookshelf.
[00:29:15] Luke: But if you teach those things to AI just as this example, and then you point a camera at yourself, maybe not for the Karma Sutra, but maybe for your yoga poses. Um. Like AI can say, no, no, you know, like change your angle a little bit. Move your arms in a bit, you know, don’t forget to breathe. It could, it could actually watch you and teach you and make you do the thing a bit like your options class is gonna do.
[00:29:42] Luke: It’s gonna help you become an options trader and help you monitor what you’re doing by observing like your behaviors. I think that’s where these tools can be incredibly powerful, much more so than spending, you know, a deep amount of time reading and understanding.
[00:29:58] Krys: we’re merging towards the same idea. I think I was basically saying deep updates to your own software require more time beyond, say data points or slide. You’re saying? Yeah, there are many things where it’s not about book as theory, but book as action. And that’s kind of the same thing. Side note, when, when Baby Monkey was about to head off to his first year in, uh, university one, one summer, he came down, uh, made himself breakfast and saw on the counter a copy of a strange little book titled The Kama Sutra.
[00:30:38] Krys: And I was like, what is this? It had a very intriguing cover and on the, he opened it and there was a inscription from, from Mama Monkey that said, son, if you do something, do it right. Make, uh, love Mama Monkey. And um, since that time I took that advice seriously. Uh, I’ve written to the editorial board at the Kama Sutra, um, pointing out there the, the, the mistakes they’ve made in some of the positions. shall we talk about, um, some investing philosophy with what time we have left?
[00:31:14] Luke: Let’s do that before we bring your, your dear mother into distribute. Yep. so you’ve gotta start it on this one, but I’ve been doing an exercise that I’ll sort of close out, but when you intro it, you found this quite interesting post on X from Boco Capital.
[00:31:29] Krys: Yeah. Uh, I found there’s a lot of wisdom, uh, in, in somebody that’s been invested in the markets. I love doing stuff like this, finding the real OGs, you know, a lot of skin in the game time, time in the game. And I think the one, uh, that we wanna talk about today is, uh, where he says. Process is the only thing that matters.
[00:31:55] Krys: How rigorous is your process? How do you reflect on what worked and what didn’t? Do you even know why it worked? Otherwise, it’s just luck. For most people, it’s still probably is just luck. And this is to me, quite analogous to in poker Annie Duke’s concept of, of resulting as a, as an unfortunate bias where you judge your game by whether you’ve won money or lost money or, um, you, you don’t realize that you, you basically, um, overinflate luck and under inflate the thinking process.
[00:32:35] Krys: And obviously poker’s a great example because if you play the hand well, but you lost it, it doesn’t feel good. But conversely, and maybe more tricky is you play the hand poorly, but you won. So you’re like, eh, it wasn’t, you know, maybe it wasn’t a mistake, you know, or I’m a genius, or whatever. You, you may think bad, bad, bad, bad.
[00:33:01] Krys: So why don’t you tell us where, where this insight took you.
[00:33:05] Luke: Yeah, like, so, so I was doing this anyway, but I think it’s a nice kind of convergence of your, uh, observation of this tweet and something I do every year. So for the last couple of years, like I’ve, I’ve got something you don’t have, which I keep telling you, you need to build, which is. I’ve got like a ledger of literally every trade buy or sell I’ve ever done way back to like 2004.
[00:33:30] Luke: And I just, you know, luckily I started capturing a spreadsheet and the spreadsheet’s evolved and now it’s on like a Google Drive and now it’s become like the feed into my Port Sidedo big fan of Port Sidedo. And I can now do like analysis and I can look at, I can look back through the honest lens of what did I believe at that time?
[00:33:49] Luke: You know, why did I buy Endphase Energy in 2022? What did I believe to be true and why was that a failed investment? And I can improve my process. And I’ve talked about this before, you know, like, I think most valuable thing as an investor is to have an investing process and have a process to improve your process.
[00:34:12] Luke: And if you can get those two things like that’s, you know, that’s like recursive and you just get better and better. You just get 1% better in your process every year. And like that’s gonna compound in a marvelous way.
[00:34:24] Krys: Badge. You are absolutely right to have badgered me about this, but I, I’m sorry to break the bad news to you. The, the Monkeys investing, uh, accounting journal scripts from his younger self are irrevocably corrupted across brokerages and. Uh, it’s, it’s, I, it even like aches me to even think that I could reconstruct all the stuff.
[00:34:50] Krys: However, the good news is that since we started the King of the Jungle Portfolio Challenge, all of our trades are, uh, in there ledger and public and transparent. And so, one to your point, uh, I will say run an analysis on them or we both should run an analysis, but that’s to your point, yeah, everything’s trackable.
[00:35:13] Krys: But two, I have taken your council seriously and in developing the Wall Street Wildlife Options University, many of the modules in the tool section have journal your idea and explain slow down and explain why you did this. And that’s gonna be immensely powerful. Precisely because the process is the only thing that matters.
[00:35:38] Luke: so I’m, I’m part way through this at the moment. I’m using AI to help me, and I’m trying to do some analysis of like, my thinking and my behaviors over the last year. So I got Gemini and it’s, it, I gave all my data and it’s produced like an initial SWAT analysis, strengths, weaknesses, opportunities, and threats.
[00:35:58] Luke: So maybe I, I might just share, like, I’ll pick out a few things from the SWOT analysis that I’m just thinking about right now. Maybe you can help me work through some of these ideas. Um, like from strengths,
[00:36:09] Krys: Actually badge. Wait, wait, sorry. Before you, before you go into details, can you talk us a little bit more, uh, ’cause this sounds incredibly useful, how did you, uh, actually make this happen? What documents did you gather? Did you put them in the folder and then you gave it like the setup?
[00:36:27] Luke: yeah, like, I, I mean, essentially it’s my trading ledger, like, so every time I’ve traded. Back at least like well over 10 or 15 years. I’ve written down like a couple of sentences as to what was in my mind, like, what was
[00:36:39] Krys: So you have a doc, you have one document. It’s just
[00:36:42] Luke: Yeah, I’ve got a spreadsheet and that’s where, that’s like my master source and I use that for lots of different things.
[00:36:48] Luke: Like I use that to publish my mid month update on Twitter and I, I use that to feed Port Sidedo, but that’s like my master like copy. So I just gave that to AI and said like, you know, help me and analyze what’s happened over the last year. Like I’m looking for ways to improve. Simple as that.
[00:37:05] Krys: Okay, great. Yeah. So I’m looking at, yeah, so I’m anybody, I guess anybody, especially our Patreons or our YouTube listeners, uh. Start, start one of these. It doesn’t matter that you speaking to myself that I didn’t do this properly for 20 years. Nothing’s stopping me from starting to do it now and it’s gonna be immensely useful.
[00:37:28] Krys: So
[00:37:29] Luke: You know, I’m gonna, I’m gonna take this opportunity to like, shout out in a bad way. One of my best buddies, Jason, who listens to the podcast,
[00:37:38] Krys: shame on you, Jason.
[00:37:40] Luke: shame when you, Jason, right? Jason has a substantial portfolio and, uh, he’s also like, it’s portfolio is supporting his lifestyle. If I ask him, whenever I ask him even the most basic question, like, what do you own?
[00:37:55] Luke: He hasn’t got a, he hasn’t got a fricking clue what he owns.
[00:37:58] Krys: Oh my God.
[00:37:59] Luke: It’s a total mess. He’s got some half-ass spreadsheet, which has clearly been cobbled together, and he makes it fresh. Every time I ask the question and badger him to give an answer, he can’t tell me what he owns. And so like that is table stakes.
[00:38:11] Luke: You can’t consider yourself an investor. You are not even, you’re not even in the game. You’re playing a totally different game if you don’t know what you own. The thing I’m doing is like the step beyond that. Not only do I know what I own, I know what I did in like forensic detail, but at least as a, you know, if you’re listening to this pod, if you’re listening to this pod and if you’re a Patreon and you don’t know what’s in your portfolio, like
[00:38:36] Krys: This is, this is grounds for, this is grounds for excommunication.
[00:38:41] Luke: Yeah, totally.
[00:38:42] Krys: This is, this is, this is Jason, buddy. Mm. I mean, monkey might not know where his, his ledgers live because they’re in this drawer or that drawer, but he has ledgers like, oh man, it’s actually not that hard, especially with the tools today. You know, you take an hour of your day, you upload it to an AI and you say, make me a Google spreadsheet with my holdings.
[00:39:11] Krys: I
[00:39:11] Krys: mean,
[00:39:12] Luke: Moving on. So if you have the forensic ledger, which if you don’t have, just start building it today, like the next time you trade, stick it in a fricking spreadsheet. I bought, I sold, you know, so many shares of this thing on this date at this price. And the key bit is, and this is why, this is what my thesis, this is why I added trim, sold, bought whatever I did,
[00:39:35] Krys: Yes. And, and also, uh, badge this matters across the timeframes for long-term investor. It matters because your basic root, uh, strategy is you have a thesis and you’re going to, time, time is just going to validate or not validate your thesis, but no thesis, and then you’re just doing gobbly good.
[00:39:59] Krys: But if you’re swerving in monkey’s direction for, with the options thing, all of a sudden time is a crucial factor. And your thesis has, it’s not just have a thesis, it’s also you have to start thinking about levels of entry and exit. If you can’t slow down or articulate well enough like why you’re entering and when you will exit, you’ll be completely hosed.
[00:40:27] Krys: So this is more crucial than ever in both timeframe or directions.
[00:40:32] Luke: totally. I get that. Having sat the options course now, like it’s the short term nature of options magnifies like the, the power of every decision. You know, any a bad decision or an ill taken decision can wipe you out if you haven’t been thoughtful about how you’ve structured that. And so you’ve put a lot of learning into the tool to help new options traders, like build the right disciplines.
[00:40:58] Krys: And, and actually to maybe summarize this ’cause I know how it’s gonna help me still. The key motto for the options university course or the, the welcoming quote is the, the jungle, uh, God. What is the motto? geez, I forgot my own motto. Something like nourishes the prepared, but eats the impulsive.
[00:41:23] Krys: But the impulsive is what happens when you don’t slow down long enough to even summarize what you think you’re doing.
[00:41:33] Krys: And this is how this might help. ’cause you wanna enter a trade, doesn’t matter what options or long term, you have a good feeling about it, whatever. But you might be clicking the button too quickly. But had you actually slowed down and said the bull case is this, and the bear case is that you might actually say, uh, maybe I’m gonna wait a week.
[00:41:57] Luke: Alright, well, okay, yeah. So you’ve done that. You’ve got your ledger, maybe come back and listen to this episode in a year’s time. And at that point you’ll have like a year’s worth of narratives, right? You can start to. Do this analysis for yourself. But anyway, this is what I’ve learned, and this is like work in progress, like early start and it to start with a what analysis.
[00:42:15] Luke: So like some strengths, some things that I think I am good at. Um, like my patience is strong. My average holding period is over four years. Um, I don’t like play, I don’t use this concept of like house money. Like I let, I let my winners run, I let compounding work interrupted, and that’s work to in my favor.
[00:42:41] Luke: Like I’m, I’m trying to identify and hold generational winners and I’ve had more than my fair share of those over the decades.
[00:42:49] Krys: That’s, I mean, that’s the bread and butter of why long-term investing works compounding, and if you interrupt it, it’s not compounding. And few can do just that by position 20 years ago and. Check the thesis and have it keep rolling. So that is the proof in the pudding and the banana pudding. So congrats on having elite level of patient’s badge.
[00:43:17] Krys: Is there a dark side to that? Is there a, a, a shadowy side to quote, uh, elite patients?
[00:43:26] Luke: Yeah. And it comes out actually in the weaknesses. Um, ’cause this is where the value is. Like you want constructive feedback. That’s the whole purpose of doing this. You don’t wanna just get your back, back patted. So, um, that I welcome your thoughts on this, right? So one of the weaknesses that Gemini identified from looking at my ledger was my hope strategy on losers.
[00:43:48] Luke: And it specifically called out C Limited, um, said I hold losing positions for an average of three years. My position in C is down 40% from its cost basis, yet it’s still a 2% allocation. That’s dead weight that could be compounding elsewhere.
[00:44:07] Krys: I have a lot to say about this badge, and this is actually exactly the point that got me interested in building my expertise in the, call it more medium term stuff. Uh, so now I’ll talk directly to you, um, in ways you could improve this, all of us could improve on this.
[00:44:26] Krys: Let’s, let’s take that, um, the stuff I’ve been saying about looking at a technical chart, and if you’re a long-term investor, the first chart you look at is the monthly timeframe. And that shows you essentially one thing. Is it going down or is it going up actually or sideways? Right? But you, it’s, it, it’s no more than that, right?
[00:44:48] Krys: So the first rule, I think for, it doesn’t matter any timeframe, but including long-term investors, if you’re investing, and you could legitimately see that the market is continuing to sell the thing that’s an error. Unless again, you, you, you, you really know, uh, you have ex expert level understanding that nobody else has.
[00:45:13] Krys: But let’s assume that’s not the case. So once you clear that hurdle, then it should be a fork in the road. Your elite level patients should be bounded to the ones that are going up, which is very easy to see. You don’t interrupt Google. You don’t interrupt Amazon, you don’t interrupt intuitive surgical ’cause.
[00:45:40] Krys: You could see it’s not about there being dips. Every stock will have dips. But that’s why the monthly timeframe is so handy. You, you, you literally see a slope. And with C limited right? You, you cannot justify that as being an up slope,
[00:46:03] Luke: Well, I’ve, I’ve actually just thrown the c limited market cap into our docket. So go, Joe, check out the show notes. I’m, I’m editing it Live Me and Beaver. So here is the market cap of C Limited. Now I, I initially bought it like right at the peak in late 20 21, 20 22.
[00:46:21] Luke: So, and the slope was up then. But anyway, like I got in at a bad valuation point. The company made mistakes. I suffered a monstrous drawdown and I’ve added to it now twice. I think pretty much on that up slope. Like if you look on the, on the chart, like from say July, 2023 through to fairly recently, like maybe three or four months ago, it’s been like an uptrend.
[00:46:48] Luke: So for. Like I’m, I guess I’m doing what you say, like investing when the chart is up. But now things have taken a precipitous drop again in the last quarter.
[00:46:56] Krys: Yeah. So before, because this actually involves technical analysis and that’s not what we wanna talk about here. The larger point I think, to your process is instead of keeping one bucket that says patience is a virtue, regardless, I would qualify it and say for the stocks that clearly are. In an upwards trajectory over the course of their life. That is where elite patients goes to pay immense dividends. Don’t worry about the little dips, don’t worry about getting cute. You, if the slope is up to the right, you leave it. However, as soon as you see, uh, a slope that’s going the other direction, then if all you’re doing is, is holding out of patience, then that’s actually, uh, I would say, uh, a mistake because for the reason mentioned, it’s dead weight.
[00:47:59] Krys: It could be used elsewhere. And who, what’s stopping you from essentially rebuying the company when you could see objectively speaking that it’s not on the downward slope and then technical analysis, blah, blah, blah. But, But, If you were to do this, you are, you know, you’d be even, you’d be doing even better and easier said than done in some ways, but
[00:48:24] Luke: Yeah. Okay. I, I get it and like it’s, I think it’s something I need to work through. It is a weakness in my approach. Like I do tend to hold on to losers. Um, I have sold a bunch of losers, but there’s, you know, clearly there’s still a, a few kicking around and sea is definitely unarguably one of those. So there’s an opportunity.
[00:48:43] Luke: Well, let’s go on to opportunities. ’cause actually Gemini flagged quite an interesting opportunity. It’s sort of related, but again, you know, maybe you’ve got some thoughts on this. Um, it flagged something that actually Chu mentioned, uh, a week or two ago on our Patreon, but I’ve got 10 plus positions with less than a 1.5% allocation, and it said, I should think about consolidating these into my, like, highest conviction ideas, or at least like my highest conviction starter ideas.
[00:49:14] Luke: So rather than having like such a mess of tiny positions on that barbell I talked about in last week’s episode, maybe have a bit more concentration around like the best of my new ideas.
[00:49:26] Krys: If you look at my King of the jungle portfolio, I have, well, I’m heavy in, in basically three. Three very heavies, and now two relatively heavy, and then a bunch of babies. I, um, I think we, yeah, because we talked about this regarding Chu’s question. I don’t think this is a bad idea. Listen to our previous episode, because something happens when you actually invest in a smaller position. That doesn’t happen when it’s merely a theoretical idea. And in your case, correct me if I’m wrong, you enjoy the process of research and learning, which you’ll be, which keeps you motivated to keep learning and expanding. And it’s easier to do when you own from pure what alpha standpoints, you know, pure like profit loss. Probably this is correct. You know, like the highest conviction deserve more of your money. And then, but again, process matters. So this is, this is the art of it, right? This is the art of it. I could see why this would work for you and not work for somebody else.
[00:50:45] Luke: Okay, cool. I, I think it is something to consider though, um, like I do weed out my losers. Um, like I’m, I listened to the Brookfield Renewables earnings call a few days ago, and like, I really like what I’ve heard. Like I’m, I feel like I’m now starting to understand that business much more clearly, and so I’ll probably add to that.
[00:51:07] Luke: So maybe that does play into this opportunity. Like, I’ve got a new addition to the portfolio. It’s like a sub 1% allocation, but now I understand it a bit better ’cause I’ve caught an earnings call. Maybe I’m gonna double that fairly soon.
[00:51:20] Krys: Cool. Awesome. Do you wanna hit us with one more insight?
[00:51:24] Luke: Yeah. Maybe like threats, but um, from threats. So Gemini flagged the correlation crisis in my portfolio. Like I’m heavily correlated to growth factors and if there’s like a crash in say space stocks or um, e-commerce or something like that, I don’t have any defensive non-correlated assets, uh, like commodities and utilities and staples.
[00:51:53] Luke: I’ve got Greg’s, but that’s probably not enough for of a like outweighing.
[00:51:58] Krys: Oh my god. Greg Sausages to the
[00:52:01] Luke: yeah, yeah. yeah. For real.
[00:52:02] Luke: Yeah. It’s a non-correlated asset.
[00:52:07] Krys: when the world blows up, it’s the greasy cholesterol, sausages, uh, and sludge coffee. They are gonna save us.
[00:52:16] Luke: Hmm.
[00:52:16] Krys: God.
[00:52:17] Luke: So anyway, something to think about. I’m aware of that, like the world has been on my side for the last 15 or 20 years, and quite frankly, I don’t see how it’s gonna change. Like all the stuff around AI is just gonna make tech and growth even more dominant. So I’m kind of carrying that threat of not having non-correlated assets.
[00:52:40] Luke: ’cause it just seems like a no brainer to me that this stuff is just gonna continue to dominate society in the future.
[00:52:46] Krys: Which is a good segue maybe for Monkey Safari stock Badge. Uh, quick couple minutes, but a few days ago, a ticker SMDK SanDisk, uh, which is a technical company that makes memory reported earnings that were kind of staggering in the same way. Uh, that sometimes yeah, the market’s just not prepared for There’s a bunch of numbers on here, and they’re focused on the financials, which monkey doesn’t usually focus on. I, I mean, as much, or first. Usually I’m a more narrative kind of, kind of chimp. But when you crush earnings per share by 71%, when the data center growth grows, uh, 64% sequentially when, uh, the forward revenue guidance went from an expected 2.9 billion to 4.4 or to 4.8, meaning 60% above consensus with margins going up from about 50 to about 66. That is insane, insane, uh, over, uh, over performance, so to speak. And basically this matters because this tells us that the pure AI driven demand is as real as ever. And that now we’re basically dealing with all the bottlenecks in the industry. First it was chips, then, you know, so that’s your invis Nvidia thesis.
[00:54:27] Krys: Then it kind of moved, uh, toward, well, the power and the energy. That’s your iron cipher thesis. Okay? You need both of those. But turns out in the world of inference, you need flash memory and turns out there’s a widening supply demand gap with the techno, with you just can’t get your hands on enough of these fancy na and d chips, which are kind of like Lego blocks that could kind.
[00:54:59] Krys: Go in, in all sorts of configurations and everybody wants one and there’s not enough, therefore price go up. Um, the only additional thing badge I would say is, uh, I was considering entering this as a position, ’cause this ain’t gonna slow down, but there was such an exuberant reaction by the market. It, it jumped up and I started looking at the charts and I was thinking, Hmm.
[00:55:26] Krys: Is, you know, is this one of the cases where now the good news is already priced in? Or is this a longer term trend evolving today as of as we’re recording, it’s up 14%. Uh, so that would be the choice point in, in thinking, you know, short term there could be a sell off because of the profit takers. But if you’re thinking in 2, 3, 5 year blocks.
[00:55:54] Krys: Then this really might be a long-term investment opportunity. So you gotta, you gotta think about your timeframe carefully. But I wanted to put this on everyone’s radar ’cause it could just be getting going.
[00:56:07] Luke: Yes. Super interesting company. What an interesting time in the AI supercycle for them. ’cause they were like, you know, as we said at the start of the episode, like, like the whole world needs, wants more AI and, but there are certain bottlenecks, right? AI consumes an absolute crap ton of power, which is why a lot of your investments are focused around power generation and power storage.
[00:56:33] Luke: AI also needs a crap ton of memory. And so this is where SanDisk and like a bunch of other companies come in and now we’ve run into this like memory crunch where there’s just not enough supply to meet the overwhelming demand.
[00:56:47] Krys: Right. And by the way, I, I missed, uh, remember at one point I was in, invested in, uh, sterile Labs, a lab, which was a kind of interconnectivity, uh, company that does the wiring between clusters and giant data center stuff. So there’s a, I, I’ll say it this way for all our listeners, if, if you admit that we’re at the very beginning birth of this. Insane new world and you’re not doing your deep due diligence about all the ways that this build out, like what will be required then, I don’t know. Or let me say maybe a little bit less, less, uh, finger wagging. Really. You could invest in Coca-Cola, right? Sure. Safe in, in dividend yielding and so forth. No shade there. But at the same time, we have the largest civilizational impactful thing happening. Why would you not focus there and educate yourself and then come back to our Patreon community and say, yeah, there’s so many opportunities. Have you guys looked into, you know, whatever memory or whatever the next thing is? That’s, I think what I would call intelligent filtering and curation priorities. You prioritize that over Coca-Cola.
[00:58:21] Krys: All right. Badge. So that feels like a wrap. Um, you wanna tell, uh, our listeners about fiscal ai?
[00:58:30] Luke: Yeah. Yeah. Well, I, I, I used it just there to pop up and see limited data and I was just skimming some of the numbers on SanDisk while you were, were presenting that like it is our preferred platform for, um, well, it’s our only platform for stock analysis these days. Like we, I use it every day. Um, their, their KPI data is second to none.
[00:58:50] Luke: Um, and, uh, yeah, like I, I, I really get a ton of value out of this. The free tier is fantastic. Just go sign up@fiscal.ai. But if you wanna use the paid tier and you use our, um, link fiscal.ai/wildlife, you’ll get two weeks free of Fiscal Pro, no credit card needed, and you’ll get a 15% discount if you upgrade.
[00:59:15] Luke: That’s fiscal do AI slash Wildlife.
[00:59:18] Krys: Fantastic. They’re wonderful partners. Uh, can’t live without it. It’s just the core hub of where you start.
[00:59:24] Luke: Hey, you know, while we were, while we were chatting, I don’t wanna, I just wanna close it out with like a
[00:59:28] Krys: what has Beaver done?
[00:59:30] Luke: Yeah. Yeah. He’s,
[00:59:31] Krys: Oh, oh my god.
[00:59:33] Luke: he’s just like, literally while we were chatting, he’s like, just dmd me on Discord and he’s, uh, he’s, he’s done like a whole bunch of extra analysis on our YouTube channel.
[00:59:40] Luke: I didn’t ask him to do this. He’s just done it himself. And, uh, he’s got some constructive ideas for us around how we can improve comment, engagement. Um, so it kind of reminds me like, you know, if you’re on the Patreon, like God, love to you, thank you so much for supporting the show. We love all of our Patreons, but like we’ve got thousands of listeners who are just on the YouTubes and like, we wanna support you guys too.
[01:00:04] Luke: Yeah. You get the episode like four or five days later and you’re not getting like, real time insights into Christophe’s and my trading behaviors and don’t get all the debate. There’s still like great stuff happening on the YouTube. So get stuck in in the comments to this video. And you know, the, you know, the comments we get all the time that I act, honestly, I hate every day we’ll get a comment which is like, oh, rocket Lab is now $115.
[01:00:32] Luke: Should I buy this stock? We are not gonna give you the answer to that, right? Investing is personal. Don’t even bother asking those questions. ’cause you’ve gotta work that shit out for yourself if you are asking the question and you clearly haven’t been listening to us, ’cause we ain’t gonna give you that answer.
[01:00:46] Luke: But if you want to get our te our view on like, why is Rocket Lab potentially a good investment? What do we think about the company and what’s our thesis? That’s the kind of stuff we really want to debate. So ask those questions, share your own opinions, and let’s try and bring, uh, as Beaver’s telling me, let’s try and bring our YouTube comments section to life a bit more.
[01:01:06] Krys: Cool. Sorry, I can’t help myself, but I gotta say, if you are a regular YouTube. Consumer and you haven’t made it over to the Patreon, I really think your portfolio results are suffering because of it. Uh, investing is just different when you have, uh, interpersonal connection with other investors and, um, that that kind of moves beyond the internet comment section.
[01:01:31] Krys: So no disrespect to any YouTube comment. I know that’s sort of maybe undoing some of this stuff that you said. We read your comments, we respond to them. Um, and it just gets better when you’re in a curated community where you know, people are, that’s what they’re doing, helping one another. So get yourselves over to Patreon, uh, please and thank you.
[01:01:55] Luke: Very good. Well, uh, I asked Beaver if he had any closing words for the podcast and, uh, he’s, uh, he’s keeping an eye on our watch list, prepping show notes, but he’s sticking with our standard clothes that he seems to love just as much as I do. Beaver asks, are you ready to become a beast of an investor?
[01:02:14] Krys: That’s right. Your journey starts right here.
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