Because BAC was reporting earnings, it went ahead to sell BAC.
Contexte
"Because BAC was reporting earnings, it went ahead to sell BAC. It did that on its own market data. It got the bid ass, clean, placed, sold right there."
Birkenstock is the one that I eventually put on for myself
Contexte
"...there were some other potential plays like Birkenstock is the one that I eventually put on for myself but Birkenstock was not a direct full beneficiary of this fashion flip-flop trend..."
go watch Chris's thesis on Amazon and put 20,000 into Amazon
Contexte
"...go watch Chris's thesis on Amazon and put 20,000 into Amazon and if I can see the gains compounded because there's a real company with real cash flows, you know, that's where the world can take me."
I think I'm going to open one this week probably just to trade this thing
Contexte
"I think I'm going to open one this week probably just to trade this thing. But the bottom line is the amount of research I would have had to do to connect the dots and do all that validation would have been at minimum a few hours."
Transcription Complète
Hello everybody. Welcome to a very special exclusive live stream. We've got not just one amazing guest here today, but two incredible guests. Amit from Ahmed is investing as well as Chris Camilillo from Dumb Money joining me for a very special stream here talking about agentic trading and how to use AI to do research. I did a video recently with Chris. We talked about using F research and amid as well for trading and a lot of people asked for the specifics. How are you actually implementing this? What's what services are you using? what connectors, data sets, prompts, all those types of things. And I think that both the guys in here really believe that this is a big part of the future of finance as I do. So, we're going to get talking about it. Chris, I want to start off with you. You had a few quotes of our our last couple of conversations that really stood out to me talking about how, you know, this is, you know, the easiest thing, right? First off, that anybody should be able to learn because it basically can teach you itself in terms of actually using AI. It's very self teaching and self-learning. You are putting more time into this than really ever before. and AI has just become a huge part of your research process. I want you to kick off with kind of the specifics as to the tools you're using, the prompts you're using, how this is actually fitting into your day-to-day research and life. >> Dude, what a time to be alive and to be a young investor, man. Dude, it's this is this is effing nuts, dude. I'm just telling you right now. Like I I came up during a time when the advantages that institutional Wall Street had over us retail investors were so extreme it was disgusting. Um, do you guys realize that not that long ago, well, at least in my life, maybe not in your lives, you weren't, you guys weren't, you weren't around really, but but there was a time when only institutional investors had access to company management and information that you just didn't even there were no earnings calls, guys. The only people on earnings calls were institutions. Like, we weren't even allowed to listen to earnings calls. We weren't even allowed to get updates from companies. Every single piece of information had to flow through institutional Wall Street. Could you even imagine the revolt that we'd have today if we went back to those times? Now I I forget >> people are already upset for for trying to make four quarters into two quarters for burning, right? I mean, >> you couldn't imagine, >> dude. So, so first we had we had this revolution where all of a sudden because of some ruling, I forget the name of the ruling. You guys could probably research it if you're watching the show. I don't know it was 20 something years ago where where now you know companies need to inform all the investors at the same time not just institutions right like so that was a big deal but even after that like institutions have access to all these resources right and all these data sources and just massive amounts of technology that we could never afford intelligence basically scaled intelligence is what institutions have access to. Agentic trading is about to change all of that. All of it, right? Um you we're probably like months away from a single individual trader having access to more resources and more intelligence with just having a handful of agents, AI agents, the biggest hedge funds in the world three years ago. Okay? One trader trading out of his bedroom has access to more intelligence and more tool sets and more access to information simultaneously than the biggest hedge funds in the world 2 or 3 years ago. Do you guys realize how big of a deal that is? There are very few investors that are going to take advantage of this the next 12 to 24 months. So there's this window, right? This is you have these magical windows that happen every once in a while where you can arb a new tool set right before it becomes widely utilized across the entire base of investors. And that's where you can make all of your money. I don't have a clue guys how long this is going to last. It could last 6 months or two years. But if you're an investor right now, you need to get on this agentic trading like now. you need to get on it because it will collapse the arbitrage window at some point and I don't know when that happens but you need to make as much money as you can before we have a million traders using aentic trading and you have just a billion agents out there competing with each other for access to information and connecting dots. Really guys, all this is about is surfacing information and connecting dots. And if there's one thing that AI can do, it's surface information and connect dots. Like the ultimate trade decisions can still come back to us like the humans if you want them to. So I think there's going to be two types of agentic trading. There's going to be the the the the uh you know the the the mathoriented algo traders who are like trying to set you know agents to self-trade automatically, right? Just just autonomously. By the way, I think that's going to be a huge a huge part of this and I think that's the part that's the least interesting to me because all the technical traders are going to be the first to jump on this wave. And the way the technical traders think is automated. They just want to have automated um kind of trade flow, right? Based on rules and based on things that are happening. They don't want to do anything. Those are the guys that will embrace this first. But where the real opportunity is is kind of more the traditional observational investing or social arb investing that I've been doing the last 20 years which does require some degree of human interaction and analysis >> but the agents can do 95% of the work for you now right so so what I mean by that is you'll be able to set up agents to essentially try to identify all types of information early. Um, and there's a lot of ways to go about this and we could talk about this. Uh, and and it will surface information and attempt to connect dots and then basically present you with trade ideas based on all of the research that the agents are doing and the way that the agents feel that this is going to play out. And then I think for a while there's still a lot of of human analyses that will be required because the systems will be imperfect, right? And you need to ultimately determine in a lot of cases uh the degree of of confidence and conviction that you have in what the agents came up with and how much you want to put towards that trade. It could recommend trades. It could recommend conviction levels and probabilities, but the systems are so new at this and and your ability to ask the right questions, to train your agents the right way is not going to be perfect the next year. So like you're going to want to have that level of interaction. Otherwise, you make a few mistakes and you're broke, right? Nobody wants that. So, what you want is when the agent uncovers something really big, you want the ability to manually go in and be like, "Holy crap, I'm going all in on this one." Right? And and and so at a minimum, there's going to be human interaction in terms of like how big to step into the trade that the agents are recommending for you. >> I know I'm talking all place, but >> no, that makes sense to me, right? a agents in a stage right now where they can do a lot of great identification and pieces, but sounds like you still want to have a little bit of human touch in there, maybe the final 5% for sizing and actually taking the position. Uh, amid, how do you see it in comparison to where Chris is looking at it? >> Yeah, I think Chris is right. I I think the agents are I mean the the reason all of these big tech companies are spending all this capex is because AI is supposed to work. It's supposed to be transformational. supposed to actually fix and automate a lot of the problems that we've had over the past couple decades. Agents and this agentic revolution is like the next evolution of where the capex should be going in terms of actually having a meaningful change in the enterprise. So the idea that an agent can not only find a discrepancy in the market that the rest of the market is not uh seeing uh or can find the arbitrage of even 15 cents on like you know if you're trading 10,000 shares of company on 15 cents that's a decent chunk of money that people can make. That to me is very exciting. And then from Chris's perspective, the research angle, which Chris has been so good at his entire career with social arb, I feel like there's a really big opportunity for agents to help do a lot more research on that as well. So I think he's right. I think the thesis is right. The question now is going to become how quick does the technology get adopted? And more importantly, and I think this is a big part of the conversation, does AI take away your edge if your AI knows what the other AI is going to do? And where does the edge come from if everything is so smart and it sees every mishap in the market? Because really the market's based on human emotion. I mean that's what creates the discrepancies to have an opportunity. Does AI take that away or does AI hypercharge that? I think that's a a big question in the few in the next 5 years. It's a huge question. It's a question that I am not going to think too deeply about because I know I don't have the answer to it and it won't directly impact my ability to make money during the transitionary period before that question needs to be answered. And I think there's so many of us cuz we naturally do this. We always want to kind of like get in front of things and like figure out how this is actually going to play out, right? Like the truth is guys, the world is changing so quickly. >> Don't even try to figure out what the hell is going to happen in 12 months, 18 months, right? Like just worry about the next six. Uh because chances are if you push forward 6 months, whatever you thought was going to happen is radically different than what anyone else thought was going to happen and you're going to have to start all over again with your research. So I'm just trying to get in front of the next few months here. I do believe there's a massive opportunity for early adopters to discover some amazing trades. So let's just let's just think about this guys, okay? every I don't know what there are these narratives that are constantly pushing stocks up and down, right? And and the narratives sometimes could be built on on on truth, right? On ground truth, and sometimes they're built on perception, sometimes they're built on misperception. Um, regardless, things are changing. News is popping up. And because of the changing world and the changing technologies and the way people perceive things, all of a sudden the investor base takes a liking to this company or this sector or takes less of a liking to this and this is happening every single day. So for every one of the these instances, there was the earliest moment of detection when either a human or an agent could have surfaced that evolving narrative, right? And could have put together a trade thesis that potentially would have worked. Okay, so this is the stuff that we've been trying to do as humans really inefficiently, which I love how inefficient how inefficient it's been the past 15 years because it's provided tremendous amounts of opportunity for guys like me uh just to hop in and make huge gains by being a little bit better than other humans in doing it. >> Yeah. >> But but now we have these agents that are so much better than us. So, all you have to do is train your agents to get ahead of these narratives and to try to connect the dots a little bit quicker. And by the way, it works differently with every single sector. So, it obviously works differently with consumer goods and brands than it works with technology, right? Um, and a lot of times it's about what's real. A lot of times it's about what's perceived. There's so many different approaches that you can take as an investor because I know you're gonna ask me like, "What are the prompts? What are the prompt?" I I'm figuring them out, guys. I'm figuring out the prompts right now. I don't It It's It's a work in progress. We're all trying to figure it out. Um, quite honestly, I'm not even using this yet for detection, which is crazy. You should be using it for detection. I'm still manually detecting a lot of the change like if there's a new consumer trend or if there's a change in culture or consumer behavior or technology, right? There's like a new this model is now all of a sudden the best model. Well, okay, what are all the first and second order effects that take place from all of a sudden this model being the new top model or there's this move the last week towards open source? What the [ __ ] What does that even mean for AI? Like, okay, if we're going to if everybody is going to start thinking that open-source is the future, what companies are going to benefit from that? It sounds like they're going to be the traditional infrastructure companies. What companies would be harmed by that? It sounds like it's going to be the the frontier model companies. Now, that might or might not be true, but that's what investors are talking about this last week. So >> yeah, >> the second that this open model thing started to gain traction, >> what I would do is I would go into my favorite model. Okay, right now it's codeex. Uh I would I would go into my favorite model and I would say hey this thing is kind of happening. help me validate that this thing is really happening that I think is happening in terms of like conversation picking up around open models and let's start to track this every day to see if it continues to gain traction and if it does how will investors react to this okay and I don't mean like necessarily who are the winners and losers but who do investors think will be the winners and losers and if you could even get ahead of it by a day or two or three we're talking about massive gains and so as You guys know the we can't sit still for 5 minutes anymore in this market. So, if there's not a new narrative next week that's real, we're going to make one up. Someone's going to make one up. It's [ __ ] insane, guys. Like, I've never Dude, I'm telling you right now, to be an investor in 2026, it is taking years off of your life. the anxiety, the stress, like investing has always been a high anxiety roller coaster, hobby, career, whatever you want to call it, but never more so than today. Like, there's always some BS that's moving the market. And if there's not, someone's going to make some BS up. And and so there's always an opportunity to trade which >> you can see as positive or for me from a mental health standpoint is so so negative. I look at guys like Amit, >> I'm like dude, >> I re I know you're young and you could you can you could sleep 3 hours a night if you want. I'm sure you you're sleeping probably less than that knowing you. Um, and you do what you do for now, but I hope at some point the the 5 million guys like I'm at I I hope can find balance for themselves because this is not a healthy industry to be part of 24/7 anymore, guys. It will it will it will take over your life and it will destroy you. I I do you know guys, I used to like I used to get depressed when I was a kid on Friday afternoons because the market would close down until Monday and there was nothing to do. There was no news. There was no aftermarket. There was no crypto. There was nothing for an investor to do Friday at 3:00 until Monday morning. And that was my life. And like back when no one cared about the market under the age of 30, right? like now it never ends, dude. So like I don't know. Is this an opportunity? Like probably for a while, but damn, there's so much opportunity right now, dude. There's so much opportunity. >> I want to I want to hear there's a lot of stuff that Chris just covered here. Uh the industry right now and how it's changing actually using AI. I'd love to kind of hear all your thoughts. >> Yeah, I I to Chris's point. I mean, I'm looking at a screen right here of four different charts all moving at once. I have my news feed up on this side of the screen. Like, there's just so much happening constantly. And because I cover this stuff and I create content about it, you kind of feel like guilty if you're not knowing every little detail about what's happening. But you're also just like, damn, I can't trade everything. Like, people are like, are you buying SKH Highix? I'm like, no, I don't know that much about SKH Highix. Like, I think it's undervalued. I think it makes sense like the memory trade but it's like you know it was like 200 billion last year now it's a trillion I kind of feel like I missed the 5x but there's still an opportunity and then if it's not SKH it's this random solar company if it's not the solar company it's the software play that has a mean reversion that's coming up and so I think to tie it together AI is helping me at least understand what the hell is happening and like seriously asking questions to chat of just like hey why is SKHik's ADRs trading at a at a valuation that's cheaper than micro on like what's the discrepancy there and just getting that information real time is super important. But to Chris's point, there's a new trade every other second that you could be taking. And it's kind of hard when you're seeing people make a 10x on some random stock you didn't know about that ended up being a really good play if you had just seen that tweet a little earlier and done a little bit of research. So, it is like compelling, but it's also overbearing as you're trying to navigate the entire industry. >> Yeah. You mentioned to me and you just said it right now. You know, I'm kind of just thrown into chat GPT simplistic questions, right? where I'm asking it, hey, give me your thoughts on this. Break down the chart. Why is this this way? Have you seen just by starting to do that that you're starting to build a base of knowledge for using it in a deeper way? Have you thought about, you know, people talk about AI agents and I'll kind of show people because I heard a lot about agents and for me it was like very confusing and I we literally like build I had to build my own tool to like teach me how to use AI agents, but I'm just curious if you're kind of hearing some of these terms and using them at all. >> Yeah. I mean, for trading, I think like taking screenshots of your charts and putting them into your favorite LLM. Uh, and the LLM actually is smarter than most technical people out there. So, they can just analyze, hey, here's support, here's resistance, here's sort of the price action, here's the RSI. You can make a decision based off that. I think that has been super useful in terms of just getting a uh a tutor to be able to like understand what's happening on the day-to-day basis or the second by- second basis. But more importantly to what Chris has been saying, the education from a chatbt is the biggest thing. Like if you don't know, you know what theta decay is on options, like you can go down a rabbit hole for information you would have to pay $20,000 for back when Chris was our age from some dude on a TV infomercial to explain to you options and you could just learn this [ __ ] in like five minutes and then say, "Hey, give me some examples and like paper trade for me in like there's just so many ways to get the information." And that I think is getting rid of the barrier to entry to all these new market participants coming in and learning about this stuff. I'm We didn't even have guys back then. We had books. You just you go read a book about it. You'd have to actually read a book. You'd have to find the book and then read the book. Okay, that's how old I am. But let me just tell you, I think the best way for me to help describe how I'm using this right now, just AI, is through a recent example. We talked about this on uh our most recent Dumb Money Live episode last week. So as an observational social arbit trader, you know, we'll surface some change in the world. Uh this summer, one of the things that we were able to surface was that flipflops were trending hard, like harder than they've trended in the last 5 years. Why? Like why are flip-flops trending so hard? So AI helped us identify the driver of this trend, which was a $750 fashion flipflop that launched last summer under the brand Row, okay? Which is like a, you know, like a super high-end fashion brand. And that set off all these celebrities wearing flip flops with dresses and going out to clubs and flip-flops. Now that trend has taken storm globally with the mass consumer. And so what I tried to figure out is what are the beneficiaries of this trend? what companies are positioned best to monetize this trend that are investable. And it turns out that the flip-flop that's benefiting most is a Brazilian flipflop called Javanas because something about the style of this fashion flip-flop with like a square toe kind of very traditional thin rubber. Javianis is the closest comparable to that row flip-flop that trended last year. Okay. And then and then we basically did the AI then did a lot of validating research and and confirmed that Javianis is on fire globally. Well, Javianis is part of a Brazilian company called uh Al Pragatus. Okay. They're publicly traded and these flip-flops are actually like 99% of their revenue. And unfortunately for me, I can't trade them because I only have a Schwab Global account. Schwab Global does not trade the local Brazilian market. Uh so I I can't trade this stock. There's only one brokerage in the US where you can actually trade this stock as a retail investor and it's um Amit. What's the one? It's with the crappy UI company. I'm skipping my head. You know the brokerage. >> What? >> Weeble. >> No. >> Trade. >> No. The big one with the uh um >> what? >> Fidelity. >> No. >> Are you trying? >> Interactive Brokers. Interactive Brokers right? >> Yeah. So, Interactive Brokers has like an international account and and you can I think you can trade this company. I don't have an international broker. I think I'm going to open one this week probably just to trade this thing. But the bottom line is the amount of research I would have had to do to connect the dots and do all that validation would have been at minimum a few hours. AI did it for me in 10 seconds. 10 seconds. And by the way, the report was elite. It was elite that it did for me. like it was so I mean there were some mistakes in it that I identified but for the most part it connected the dots essentially in real time to this company and there were some other potential plays like Birkenstock is the one that I eventually put on for myself but Birkenstock was not a direct full beneficiary of this fashion flip-flop trend because they're styled a little different. It's two straps instead of the traditional flip-flop strap. But bottom line is this is how I'm using it. And I'm doing this every single day. So I still have to surface the trends, which is ridiculous because the AI can do that just as easily. I'm just haven't gotten there yet because my life is too crazy right now and I haven't coded it to do a lot. But there are so many people that are training their agents to surface these trends to surface the flip-flop. >> Chris, can you talk real quick just about training an agent? Like when you say that, I think sometimes people are like, "Well, how do I even do that?" Like when you're in Codex, you want to train an agent. Like what does that entail? it. It's so simple, guys. This is what's so crazy. I just I actually can't believe this. If anyone knows me, even though I've been, you know, involved with building technology companies the last few decades, I've always had a really strong tech team around me. And I'm not generally known to be technologically proficient. I'm not a developer. I don't build myself with technology. I'm doing it so easily. Um, you you do with co-pilot. I'm doing a codeex, right? And so, you simply get on codeex and you just talk to it. Man, here's what I want to do. Here's what I'm trying to do, dude. I I don't know how else to say it. You could just talk to it or or just just just write to it in in your in the language that you would use if you were talking to your tech team and be like, "Here's the thing. I need help with this. How do we figure this out? How how do we go about detecting these trends early? What are different strategies that we can use? What do you think is the best approach? Like what should we be doing here? Like let's build something that can accomplish this. And it will just you just have a back and forth conversation like you would with the tech team. And I know it's hard to believe for people that haven't done this yet. It's that easy. It's that easy. It's I mean I'm you've done it, right? Like it's it's actually that easy. And then the agents go off and do work and it will constantly come back and ask you more questions and it will give you ideas. It will execute those ideas. You'll see what's working, what's not working and and you basically iterate on what it's building. And it it's essentially like having a team of really smart humans with different skill sets that are focused on doing different things that collectively uh allow you to solve the problem you're trying to solve. >> Yeah. >> I'm I'm curious on the agent piece real quick from a like even if you're not you talk about hey I'm plugging stuff into chatbt and asking it to show me where support and resistance is. Are there things that you're starting to see like, hey, maybe I just have something autonomously run for me on a day-to-day basis? Because to me, that's the most interesting part of the agents is you're not having to prompt every time, right? You're building something that then goes out and works for you consistently. So whether it's for something for your stream emit like, hey, I need an agent that write a market open, you know, runs X algorithm and pulls for me data. And if there's certain things that are happening, those are things that I want to talk about. Or when it gets to 11:00 a.m. I wanted to run it. It's it's watching it's listening to an earnings call in real time and it's sending us little pieces from the earnings call that we're talking about on stream. I'm just curious if you're thinking about this stuff. >> Yeah, this is stuff actually that I haven't implemented at a level that I probably should be right now. Um there's just so many different things to learn about this stuff and so many different ways to use the technology. From an agentic perspective, I I have had agents primarily describe to me trade opportunities and then to an extent take some of those opportunities with the whole MCP server on Robin Hood. And um you know, that's been really cool just to see how it autonomously either makes a decision or says, "Hey, I'm going to make the decision. What do you want me to do?" Uh, in terms of news updates, I have a lot of different sources for news. So, I haven't used agents to really give me the news yet, but I I would imagine, you know, those agents can find a variety of different ways to figure out what's happening in the world and then let you know. And I think in a world in which price action like today when Trump tweeted about 20% cargo tariffs, um, market tanked, right? And you kind of don't need an agent to tell you what happened. You can just go to truth social and figure it out. Like I believe in the future probably having that direct source of information coming from an agent that automatically scans the price action knows that it probably is a Trump tweet and then lets you know that you know that's where there's a lot of opportunities as well. >> I've got a I've got a Trump tweet agent already built. So >> there you go. >> We're watching the Trump post. Actually that's uh it's funny one that you mentioned that one because that's one of the more popular ones. Uh this this is one of the the agents that I have here. The Trump Post agent watches presidential post speeches and official remarks for statements that can move things. It only posts when there's a plausible market link and explains what moved, why, and how strong the reaction was. So, literally that right there, right? You're just looking at, hey, what did Trump tweet? What did it actually cause? And if it did cause something that I think is truly something that's movable, then explain to me why. That type of stuff. Chris, what what do you think this does for the like I don't want to overwhelm people, but I do think this is helpful for people. What's like simple ways you think people should start lightly integrating this into their lives that's going to be helpful long term? I think the biggest opportunity right now is not to try to do everything all at once, which can get expensive too with AI, right? So, you know, a lot of the things, you know, where Ahmed's talking about like pulling news, what I like to do is move beyond the news into true conversational data where people are just talking about things like like flip-flops for example, right? And you could actually go in now and extract tens of thousands, hundreds of thousands, even millions of comments from Tik Tok videos autonomously uh using various third-party sources connected to your AI agents, but it costs money. >> It can end up costing hundreds of dollars, thousands of dollars. If you're doing it on a daily basis, it could cost you tens of thousands of dollars, right? So rather than trying to do everything, I would try to pick one thing and and do it really well with your agentic AI. So, and by the way, you can use your agent, your agents to identify where should I start. There are a lot of ways to use agents to surface information quickly and connect dots to investable opportunities. So maybe the agents can help you find an area where you can start that maybe everyone else isn't looking at because you you don't want to try to compete with the biggest hedge funds in the world because they are all exploring agentic trading right now. And you know, having worked with these funds for years and years at the highest levels, I can tell you what they are focused on are areas where they could deploy massive amounts of capital and move very quickly on things that they have a really high conviction level in and and and things where they have a history of correlation. So these would be things like Trump talking about, you know, taxing, you know, freight liners or or whatever, right? So they're going to stick with those major macro stories, things connected to Trump, things connect major macro moves because hedge funds need to deploy billions of dollars quickly making, you know, short trades on he, you know, high uh liquid investments. We don't need to do that. If you're trading a million-doll account or a5 million or $10 million account, you don't need that type of liquidity to crush it for your account, right? You can start with just some consumer stocks. You can start with something where no one else is looking at this and you could apply the same type of agentic trading to a sector that no one really cares about and have almost no competition. Okay? where the arbitrage window could be days to weeks as opposed to seconds and you're not competing with all these hedge funds. So, you know, what sector should that be? Had the AI help you figure that out? Um, but but men like the flip-flop trade or you know I always go back to the trade I missed a few months ago with the viral sound on Tik Tok for Vita Coco that went nuts and then co you know Vita Coco sales went through the roof like how could an agent help you identify the next viral sound that's connected to a consumer brand that happens to be to be owned by a publicly traded company that might or might not benefit Well, we already now have a template for that for Vita Coco. So, feed that template into your AI and say, "Hey, this happened that had this type of an impact on this company's sales and the stock went up huge like 30% on earnings because of this." So, that's a template. Let's study that and let's make sure that if that ever happens again that we find it first and that you come to me and tell me what to do, what to There's one very simple use case, right guys? A viral sound. So there's a template now for viral sounds on T or or you know viral sounds on Tik Tok and how a viral sound on Tik Tok could lead to a big trade in the stock market. So you should have an agent that's focused just on that one thing. And guys, there's like hundreds of things like that. So just find one and start with one. >> I I think that's a really good point. like finding a use case that works and then training the agent on, hey, this trade worked out. Here's all the variables for Y. Find the next one. You know, like that that actually seems really impressive. And I mean, that probably saves a lot of time on research as well. >> I mean, this is the thing that's so exciting guys. There's not one answer that we can give today. There's actually so many use cases on how to use agents to trade. There's so many that I'm going to tell you right now, it's going to be a while before investors crack the code on all of them. So, we are in this window of time that is the most golden time in the history of investing to be leveraging this new tool set to arb the market. And you're either going to do it or you're not going to do it. But I'm not sure that we'll ever get an opportunity like this ever again. This is like this is a window that I've never seen in my entire life. So if you're if you're an investor right now, >> the next 12 months, you could potentially hit a grand slam and and hit returns that will never be possible again just by figuring out how to leverage agents to get ahead of the market in some way for some sector. >> I I I really like two things that you said right there. One of them being the AI really can teach you also how to do this. If you're listening to this and you're like, well, I don't fully understand, you know, how can I get it to build me an agent for this? How could I get it to do this? You literally can just ask it, right? Hey, I want you to be able to build an agent for me that does accomplishes this. I have no clue how to accomplish that. Tell me what to do here. And and that brings me back to another thing which uh Amit mentioned which was the connection now with, you know, Robin Hood's offering it. Public's offering it. I could see more brokerages rolling out agentic trading that connects to your claude or your chat GPT whatever it is within there that is becoming a big thing do you think that's going to pull a lot of retail into what we're talking about here because I think that that's like the natural onboarding yeah I think it's a really big opportunity for uh the brokerages to be able to adopt I think Vlad knows this which is why they've been really quick to kind of get this stuff out into the market I think the bigger issue with this is going to be education cuz like you can set up an agent and you can do a couple trades for you. But like the ability for the agent to meaningfully architect results that would replace your full-time trading or option selling or stuff like that. Like having the trust for an agent to do it, it's important because you know the the exchanges make money off trading volumes. So they need to make the volumes continue to be high. But people are not going to let agents trade for them if they don't think the agents are good enough at doing it. So uh yeah, I think it's going to be really exciting for a lot of retail investors to see what it looks like. But I don't know if it replaces retail fully automating their trading yet until they know exactly if it's effective, which as Chris said, we don't have the answers on, you know, does the arbitrage that these agents find, are they effective yet? >> Yeah. >> I'm I'm going to let me challenge one piece of what AIT said right there. >> Historically, technical trading historically at scale has never worked at scale for investors, >> right? And it has not stopped technical traders from that world growing and growing and growing over the last 30 or 40 years. Even though these guys are basically making market returns or less uh and paying a lot of money for subscriptions to all types of technical trading platforms and all the stuff that they do. So historically the mindset that would be willing to embrace something like technical trading for more than a month uh it's a very tiny fraction of humans because it is kind of boring and kind of weird and you have to have a certain like your brain has to work a certain way to like have fun doing that. So normally most people they they they think they can make a bunch of money technical trading. They buy some course, they do the stuff for a month, then I'm like, I don't really enjoy this and they're out. Now, agentic trading, totally different. Agentic trading is something that is so approachable. It's so fun. >> Uh you don't have to be have a math head. You don't have to be have like a technically oriented uh thinking style. Like >> anyone can do it and it's so fun. uh and and it's like you having your own team. You're constantly iterating whether it works or not. I see this as highly likely that agentic trading is going to be the biggest thing ever over the next decade. And rather than having, you know, a small number of people that stay with it long term, I think it will become the majority of what traders do in perpetuity. And I think this is the biggest gamecher I've ever seen for brokers like Robin Hood. Like I'm not even sure I can wrap my head around how impactful agentic trading is going to be for brokers like Robin Hood. >> Well, what what do you think it does with Robin Hood next 10 years? >> So, it's way too early to kind of fully figure this out because I'm this is so big. I'm still trying to figure it out. But if if what I think might happen happens, this could 100x the trading volume volume for a company like Robin Hood >> and this could completely change the entire industry >> of online brokerage. Okay? Because the the raw volume of trading that might end up happening as a result of this. I mean, think about how agentic trading works. You're not restricted by what you as a human can do. You're essentially saying that every human customer that attempts to get in this world can now have an infinite amount of trading. I don't know how that works with trade for all, you know, order flow. I don't know what commissions look like. I I I don't know how that's all going to play out. It just feels really positive. It feels like this tailwind that we no one had calculated for this industry sector a year ago and it's so new. Nobody understands how it's going to work. All I'm thinking about is millions if not tens and tens and tens of millions of traders the next decade that are all trying to beat out the next trader with their army of agents. and you feel like you can. The same way that technical traders always felt like they could even though they weren't because everyone there's too much competition. It doesn't matter. It's a game, guys. It's a game that everyone can play now. And it's fun as hell. And it gets people involved in equity markets, which I've always said is the most fruitful hobby a human could ever have because we and Amit knows this better than anyone. Whether you actually beat market performance or not actually doesn't matter because the mere fact that this is going to pull you into the game and incentivize you to push more of your capital into equity markets, you end up winning even if you just match >> Yep. >> market returns, right? And that's been the biggest that's been like the biggest secret the last 30 years is that you have these people that are getting mega rich as traders. They never generated outsiz returns. They just got so consumed by the hobby of trading that they ended up putting so much money into this hobby and they ended up generating market returns which are extraordinary over the long term compounded. Right? So, no one talks about that. But that guy that got mega rich over the last 25 years as a trader was just generating market returns. He just happened to put so much damn money into the market cuz it was his hobby or his new profession. And his wife thinks he's genius. His friends thinks he's genius. Meanwhile, he he never generated outsiz returns. He just put a crapload of money in the market and generated 10% returns with the market for 20 years straight. compounded and now he's a multi-millionaire, quit his job and pretends that he's an amazing trader, which is totally cool, whatever. Whatever. But like I think that we're going to see the same thing happen with aic trading. I think we're just now going to see a 100 times the number of traders embracing aic trading that embrace technical trading because it's approachable and it's fun and it makes sense. And by the way, the more people that do it, the more of your friends, the more of your family, the more of your colleagues that start doing this, the the more you're likely to do it because it becomes a cultural movement. It becomes a a a a communal connection point with other humans because it's something that you now talk about with your buddies and your family and your colleagues, right? Th this is this is actually really important, right? This is how this is how big shifts take place. Cultural shifts take place. I it's more believe it or not about the humanity of it than than the actual money making opportunity in it. Even even though people get in it for the money, it's the connection and the relationships and and the wow, I I'm actually doing something that is independent. You feel this natural independence from your job. You feel hope for your future because now all of a sudden you think in your head, I'm never going to get a raise at this job, but this is going to get me out of my hole. Which, by the way, it is, but not for the reason you think it is. Not because you're going to generate outsized returns, but because it's going to incentivize you to just be pouring instead of buying a new TV, instead of buying a more expensive car, you're going to be incentivized to push more money into your trading account. and you're just going to win because you always win in equity markets over the long term. >> The the also the really interesting piece to me there is I've always told people if you're going to be a trader like you got to take this seriously. This is a job. You got to do your homework in the morning, in the evening. You got to be staying up to date. You could now keep your day job, right? You can keep doing all the things that are bringing in your income. You can have something that is trading for you actively with high quality research and it's running simultaneously. I have a couple things I want to share real quick on this because I see people in the chat talking about MCPs and I do want to show them how I'm using that. But Amit, do you have any thoughts first on this area? >> I agree. Chris is right. This this is what Robin Hood is actually selling. Robin Hood is selling hope. They're not selling payment forward flow. They're selling hope for a better future. They're doing it through an easy UI. And you know, because Chris has changed his life with trading, he saw that Robin Hood thesis super early. He realized they were selling hope. And the more young people have hope, I mean, there's all this. The reason why their prediction markets are having billions of contracts traded for the World Cup is because of financial nihilism. People have lost faith. I mean, some of it is kind of fun gambling, but a lot of people have lost faith in financial mobility. And they're like, "Fuck it. I think Argentina is going to win. Let me put 20 grand on Argentina because it's better than this dead end job that I have." And, you know, Robin Hood, Calli, Poly Market, they're making money off of that. But more realistically, that is the expression of fear that young people have that should be channeled towards actually I should go watch Chris's thesis on Amazon and put 20,000 into Amazon and if I can see the gains compounded because there's a real company with real cash flows, you know, that's where the world can take me. So I think that's what Robin Hood's selling and I think agents are only going to hyper accelerate that. >> Yeah, really interesting point there on the hope and kind of the crossover with pieces in terms of the actual agentic trading. I did see people talking about this in the chat. MCPS. I think that's a huge thing to be aware of and pay attention to. I think that's kind of cracking the code for agentic trading because right now if you do just connect Claude or ChatBT direct to your Robin Hood brokerage account or public, whatever you're doing it with, it's going to trade off of the information that it has. And that's one of the things that I think Chris was hitting on, which is like sometimes you need to give the AI information to work off of. You talked about it with your use case of the sandals or the Coco Vita, right? You got to give it, hey, here's the use case. pull all the data, look at this data, and then find something else similar. And so, as you train it off stuff, I think it's going to make it better. So, MCPs are getting big now because it's a layer that's in between your brokerage that's actually making trades as well as and the Claudebot or whatever it is, and it's feeding it real-time data. And so, I have one I'm just going to screen share my um terminal real quick so people can kind of see the terminal. Uh this is a bot on here that is running a strategy right now. I'll just show people. I just asked it a couple minutes ago. Um, what was happening today? You know, what are we looking at? We making any trades? And I don't have to tell it this. It'll check, but I just put it in there for the effect. You know, rallies, rallies.ai, that's what I'm using here as the MCP. It's our AI app. And so running the full Monday scan in parallel, calling Robin Hood trading rallies four times. It's talking about all the sectors, everything it's looking at, and it's a trader, right? So, it's going to look at actual technicals. So, it was holding two positions here, Visa, Bank of America. It looked at the P&L on both of them, the RSI. I've just got to trade with a few thousand dollars to start, but each week gives me a little bit more confidence. Broke down on each of the items, gave its verdict, talked about the energy names that are bouncing right now. The big flag, BAC was reporting earnings. Because BAC was reporting earnings, it went ahead to sell BAC. It did that on its own market data. It got the bid ass, clean, placed, sold right there. That happened inside of the account. And then now it has its new watch list, you know, open slots, some of the cash it's looking at, why new entries, pieces like that. And so it's getting all that data that it's pulling from that intermediate layer, which I think is really helpful. And the more data that you can give, the better that it's going to be within these pieces. So I think just wanted to kind of show that because I thought Chris hit on that really, really well. And then once you now start feeding it data, you can do a lot more within those pieces. So just kind of looking real quick. Bunch of AI agents that are pre-built here that I'm kind of utilizing. You can see some of the ones that I'm looking at right here. Couple new ones that I've just been working on. Like I was talking about Rivian, like when Rivian actually gets profitable, I think it becomes more interesting. Do I want to check all the time and see when Rivian actually gets profitable? Not really, right? I'd rather an agent goes and watches on that. I think that's an idea like with Chris, like with the Amazon trade, I wonder if there's specific things. It's like, hey, when this triggers, that's a big thing for Amazon. And so I want an agent that's going to be just watching it. And you can bring agents into all different types of area, right? whether it's watching for idle cash in your account or whatever, but I think you guys are just hitting on all these great points. It's like people really should be using these uh deeper and deeper as they're continuing to watch their pieces. So, just some ways that I'm using them. And then I do have the actual um agent trading for me and kind of utilizing data on a day-to-day basis. So, it still does feel pretty new, but it's it's getting me comfortable with it. Yeah, Chris. >> So, Amit touched on something I want to talk about because I think it's it's really an important topic right now. He mentioned prediction markets. I just spent a week in Florida uh doing a father-son trip with my son who's 16 and six of his buddies. And they basically talked about two things on this trip. Girls and Khi, okay? Just just so you know, this is like a random sampling of 16-year-old boys. Girls and Khi. >> By the way, Khi just raised at 40 billion, which is half of Robinood's market cap. >> So wild. And let me tell you something else. I just placed one of the I just placed a bet on a on a UFC match, which is one of the first bets I placed in like two decades on a fight. >> I bet on Max Holloway. Pretty decent amount of money on Max Holiday. And let me tell you why I did it. >> I had watched a number of videos on TikTok this last week and they were great. had some great analysis on Max Holloway and Conor McGregor and it seemed really clear to me that this fight was a lock for Max Holloway and I know nothing about, you know, fighting. Like that's not an area that I really kind of focus on as you know, but it really doesn't matter what you're looking at because analysis is analysis is analysis. Okay, so what I loved about this is that it was fun as hell. Okay, so we are looking at a future where everything becomes a prediction market and do you have any idea how deeply that impacts culture especially male culture? Think about sports and gambling. That is just that is just the tipping point. Basically, every single topic becomes more interesting, more engaging, more communal when you're able to research it, place a bet on it. Whether the bet is big or little doesn't really matter. I think we talk about prediction markets like it's a bunch of degenerates. I think the degenerates that are gambling their entire income on prediction markets is probably 1% of prediction markets. 99% are people that are having fun. And by the way, I'm going to say it right now. Prediction markets, I think, are going to become a career for a lot of people the same way investing is. Okay? And you can gain a real edge because this fight, it was so obvious that if you did your homework, if you really did your homework, it was really so obvious uh that Max Holloway was going to run away with this. and the fact that you could generate insane returns by taking him. He should have been a much larger favorite than he was. Um, this is going to become a big deal the next 5 to 10 years. There are going to be people treating prediction markets like we treat investing. And I think they're mainly doing it for the fun of it, the conversation, the back and forth. By the way, you know how cool that is? People are going to get more into politics because of prediction markets. People are going to get more into science. They're going to get more into all of these cultural movements. There's what what I hate about 2026 that I loved about my youth is we all kind of talked about the same things. We all talked about the same t we all watched the same TV shows back in the day. We all watched the same big movies and we when we got together as friends, we all the same bands. Now everyone is so fragmented. across a million different things. There's not a lot to bring us together. Prediction markets kind of takes the most exciting engaging things that are happening in the world and gives us a reason to go deeper in on them and to have those discussions, have those arguments all over social media. Like I said, the the holiday McGregor fight, you know how many videos there were about that this last week and how fun they were to kind of argue with your friends about are the odds correct? Like I love this stuff. I think it's going to bring us together as humans and you know who the beneficiary is. Khi, Robin Hood, like I keep coming back to I mean I mean I know you're with me on Robin Hood, right? like >> people are not fully assessing that this is a cultural movement. This is something that is going to change how we spend our time and ultimately change how we direct our money and our that we have to deploy because it's an entertainment medium right prediction markets becomes an entertainment medium. So imagine taking the world of sports betting and just extrapolating that over the entire world, everything that ever happens. It's kind of a big deal, right guys? >> A big deal. >> It's a very big deal. And I think, you know, Robin Hood got a lot of push back on promoting gambling over the past few months with this whole prediction market thing. But my thesis on it, and I'm sure you agree, Chris, is like zero DTE options, they can also be seen as gambling. And Schwab lets you do that. Fidelity lets you. like prediction markets are just an extension of how people want to express a uh bias. Right now it's mainly sports but as to your point when it becomes everything I mean that just becomes a massive likely multi- trillion dollar market that all the market makers are going to want to get in on as well. I I would go even deeper and say that prediction markets retrains your brain to make you think about probabilities and outcomes. And once you start thinking about probabilities and outcomes on a regular basis, you're more likely to embrace equity markets and become part of the investor class. And I think prediction markets is essentially a Trojan horse to bring the world into the investor class. you maybe you come in to make a bet on Love Island or on something related to Taylor Swift's wedding or a UFC fight and you start to think about probabilities, outcomes and you realize, you know what, I can make more money kind of doing the same thing with stocks, right? It also it also it feels very tied in there because you can actually use prediction markets to trade on things that are related to the stock market like earnings, right? If I don't want to have to take the stock directionally and I just want to bet that they're going to beat on revenue or I want to bet a specific segment in the company is going to outperform, right? I can get very minuscule now with what I'm actually trading and investing in and it can still be things that are really part of the stock market. >> No, you you're you're exactly you're exactly right. It It just makes everything richer and more interesting. >> I I love it so much because it's just it makes everything more relatable to regular people, guys. Like 95% of people, we don't want to study charts. We do not want to like dive deep into fundamental analysis. We hate that. I hate that, guys. I'm not a technical trader or a fundamental analyst. I actually hate all of that. It bores the hell out of me. Um, but prediction markets, uh, being an observational investor, like just watching the world change in real time and connecting dots to investable opportunities, no matter what that means, whether that's an investable opportunity in a prediction market or in the stock market. Dude, that is something that anyone can do and have fun with. So, like, this is a game-changing moment that we're having right now. And there are only a few companies that are really kind of at the nucleus of of what's happening. And yeah, Polish is one, Robin Hood is another. And you have to have a long-term outlook for this. It's not about what happens next quarter. It's about what happens in five years when you have a billion people that are doing this stuff every day. >> Yeah, we we are coming up on an hour here. I want to be a struggle of your guys time, but awesome audience. Chat's been running this whole time. There's too many messages for me to even catch. Yeah great. >> Gav, I I got to say something about it here. I I just have to say it. >> Please, >> I have to say it. >> I have said this so often the last year. The the the investor investors at large have never been dumber. And I mean that because there's more investors than ever. So, it's a natural evolution that we go through. People come into the market. Uh I think people are really lazy with their research. I think institutions have become lazy with their with their research and that's opened up a tremendous amount of opportunity for investors that are willing to evolve that are willing to just take things a bit more seriously and and not just follow you know not just follow the the noise every day in the market. Amit is one of the very few young investors that I have watched over the last few years that has meaningfully evolved his thinking, evolved uh how he thinks about research and like and his biases, right? Like so many of these investors, especially the guys that came from crypto or from Tesla even, they they they get in this zone where they have they they have a bias towards a certain company or a certain CEO or a certain thesis in the market and they just get stuck on it. So even when the world changes or that thesis proves to be wrong, they don't want to admit it to the world. Amit, something that you I'm so proud of you of is that you are willing to change your mind. you even companies that you heavily support when you see things you don't like or things that are changing, you're not afraid to find the ground truth in that. And like I've watch you evolve as a young investor the last few years and I was hoping that this would happen. Like I I just if there's one guy for people to be following day in and day out, I would say it's you. And it's not even because of what you're saying today. It's because like what you're going to be doing a year from now. Like I just have absolute confidence that in the next few years you are going to evolve to be one of the most informed, smartest guys, you know, reporting on market commentary and and kind of how this market's evolving and opportunities. Like I love following your content and I just wish we had more financial creators like you that took it this seriously and and like everything that you're doing is right. So, I hope you continue to evolve, right? A and and and call yourself out and like not get stuck in biases, not like admit when you're wrong and just evolve. Dude, you're so young, dude. I can't even imagine where your career is going to grow. I'm learning from you. Like, I follow your daily stuff. So, I was so excited to be on this show with you cuz I mean, you know, when you just got started, I was like, "Dude, I I don't know, man. This kid, >> I think you're going to be big." Yeah. Yeah. No, dude. Chris, I I really appreciate that. Obviously, I've learned so much from you and the dumb money guys. And uh you know, I a lot of people don't know, but part of the reason I got a allocation into Appronic was because of Chris uh a few years ago, and I called him. I was like, "Chris, like does it because I got we got in touch through mutual contact and I was like, Chris, does it really like is robot shit?" And he was just like, "Amit just look at where the world is going. do like 10 minutes of research and then tell me if you want to invest in this company under a billion dollars and you know I took those 10 minutes of research watched a lot of Chris's videos on robots and I was like yeah and then that investment has changed my life that's been a massive investment for me so >> and listen robots is one of the areas I'm talking about where people that are investing in robots they get stuck on a thesis I'm like you've seen how I change on robotics I'm like guys >> the TAM is as big as it's ever been but the timelines are not even what I thought I was always conservative on robotic timelines. They're we're not even going to hit the timelines that I thought we were going to hit. And that's okay. That's okay. >> Well, but to your point, Chris, you've been able to publicly call out a lot of the hype around a sector that you are the guy. Like the way people when people think of humanoid robots, they think of Chriso. And you've got a lot of new people jumping on the trend, but they're jumping on the trend on these companies that like >> don't really have anything there. And you're you're not afraid. You could be pumping those companies to be like, "Yeah, that company's amazing to help the humanoid industry." But in your ad, you're like, "No, this industry is still very nent and we cannot get overly excited over things like SpaceX at $230 because it'll leave people holding the bag at 137." >> Well, you got we're always learning, guys, especially in a nent industry sector. I think the biggest takeaway that I'd love young investors to to take is, dude, we're all learning, dude. Stop thinking you're so smart, man. like the this market will destroy you if you get overconfident in in your own ability. Like you just got to be open to being wrong constantly about everything. Uh you got to always look at the devil's advocate viewpoint on your thesis. You have to always poke holes. This is what I do with my community. I'm like, "Guys, prove me wrong. Please tell me where I'm wrong because I got a lot of money on this." And the second, you know, the second that I'm wrong on it, I will reverse. I will literally get out of that trade and sometimes I will just I'll reverse the trade and I I'll I'll take the opposite point of view. Even if I talked about it on my show and I look like an idiot, I don't care, dude. I don't care. Uh you have to think like that. You have to be unbiased. You have to be willing to be very wrong because you will be in this market. There's no other way, especially if you're talking about a a new sector like robotics. Dude, we're all learning. >> Yeah. really great points and I I concur. Really glad I discovered both of your channels and I can tell from the chat that they feel the same way. My favorite commentator was we got the Amit and Chris Camila stream before GTA 6 came out. So that's glad we're able to make it happen. Um so I saw a lot of people that came in said that they were here late. Uh this will turn into a recording once it finishes so don't worry about it. We'll also get an edited video posted up to YouTube as well. Make it very easy to find. A lot of great information. Um I feel like we have to run this back maybe maybe in a few weeks hop back on continue to share some thoughts here for people but I want to keep it digestible for them for now. Amit want to come to you for any final comments here just you know when it comes to getting involved in the markets trading agentic side just trends that you're seeing happening what you would at least tell people like go out if you're going to take one actionable step from this you know at least at least try something. I I would say people that are already watching this have have have taken a step uh if they're new to the markets. If not, you know, people probably just tuned in to kind of get our perspectives. But, uh to Chris's point, like the more you are ingested in financial commentary and news, the more you actually care about it. Like the fact that all of us here watching probably know something about Kevin Worsh is ridiculous because if you ask most people like, "Who the [ __ ] is Kevin? Why should I give a [ __ ] about the Fed chair?" you know, like we all are listening to every syllable of what this guy says to try to figure out if stocks are going to go up or down based on rate hike expectations. So, I think just being in love with the game is so important. I think uh observing and and in consuming information from people like Wolf and Chris and myself is is super fun and it and it's it's it's entertainment to an extent, but it's also informative because you don't have to agree with everything we say, but because you're in that sector of just like consuming the knowledge, it it it forces you to to care more about markets. And then from an AI perspective, yeah, I mean, I think Chris talked about a lot of really good points today. Starting up an agent and giving it prompts and then having it do the recursive learning where it trains itself in whatever field when it comes to trading, whether it's technical analysis, whether it's newsflow, whether it's modeling, um, you know, what this arbitrage in the market was able to show and where you can find other arbitrageages, whether it's on sneakers or energy drinks and all the different cool things that Chris has been able to find out over the past couple years. that stuff is super tactical that people can do that I'm going to take advantage of over the coming weeks and do myself. And I think that, you know, Claude's announcement about making Fable 5 available to everybody is Claude acknowledging, hey, like everyone wants the tokens. We can't keep them super expensive for people to be able to use it. So the tokens will get cheaper. The ability to generate those tokens will get um even more intuitive and then it's just a question of, you know, taking advantage of the opportunities. >> Yeah. I also want to give a shout out to Emit. Last couple streams we've done, it's been hoodie emit, but today we got crisp Nvidia polo emit up in here. So check that out. That's that's that's crisp. Like that. Is that a GTC polo? >> Someone gave it to me at a meetup in Miami. Someone who worked at Nvidia. >> Very cool. Very cool. So shout out to that. Um, also I'm thinking uh Evan was messaging me. I think the next stream we should do, we should talk about uh humanoid robotics. I think that that would be pretty interesting for our next one. Maybe we do that late this month, early August. Uh, but great having you on, Chris. I know the audience loves you. Uh, any final comments you want to share as well as kind of like a one-step takeaway? Go do this after this stream. Ye. Yeah. I mean, it's summertime, guys. Just remember to take a break from the market. I always tell my my big challenge to everyone is see if you can turn your phone off for 24 hours and don't look at the market for for one trading day. Call your friend. Tell your friend, "Hey, if something crazy happens, text me and I'll turn as long as you don't get that text." >> Yeah. >> From your friend. Watch what it does to your head and your day and your week. Like I dude, do something other than watch the market during a market day. It's going to change your whole summer. And then try to try to extend that to like two days and three days. I I do this stuff. People don't believe me. I do it. It's absolutely amazing. So, I'd like to see you do it for once. I I I I don't think you can, but you should try. >> I I did I just went to Singapore for a week, so I I I took a break for a week. >> Yeah, but you were on your phone checking your portfolio. Don't even Doesn't count. You could be It doesn't I don't care where you are. No, I want you to go a full day without knowing, >> dude. I It It is mentally so cleansing >> to know that it's happening and you don't know about what's happening. Like I promise you it is it is the best cleanse you will ever do to do that and to to you cuz you have to you have to come to the realization that it's not going to destroy you for you not to know what's going on in a market day. You have to do it as should we put stop orders in before taking a day or two away. No, just call a friend that you trust and say, "Hey, if anything crazy happens to anything in my portfolio that I should like I need to trade on, text me and then and then you'll go back. As long as you don't get that text, you're cool." >> I think I think this is where the agents come in. You know, you have your it's called day off agent and it's like, "Hey, you know, you monitor, shoot me a text if anything's needed, you know, trim any positions if something happens." >> This is uh this is going to free up people's time. That's why I'm so bullish on this overall and really just this conversation is time is the mo most valuable asset of all. Anything that can create more time or save you time, I am all in on. And this clearly is going to not only double people's time, but like Chris was saying, maybe 10, 100x it. But Gab, the best the best takeaway from that exercise is it allows you to spend more time doing real research as opposed to just being distracted by the news flow and the noise of the market. Because look, I'm fine with you doing research during that day off, >> but I what I found is that investors are so consumed by the noise and the movement of news flow that they cannot focus on differentiated independent thinking and research, deep dive research that is required to find the next big opportunity because they're just sitting at the surface level of market noise all the time. So, if you could remove yourself from that surface level market noise, you're going to open up more opportunity to actually find the gems uh that are going to hit in the next days to weeks to month using independent research and thinking. >> Well said. Well said. Uh encourage everybody if you haven't seen their accounts yet, it isinvesting Chris Camilillo. You can check out both of those. There's also Chris Camilillo daily clips now on Instagram if anyone hasn't seen that. Those are great pieces as well. >> Well, those have been great. those popped up in my feed. I'm like, I know this guy. This is great. So, I love it. >> Took me eight years to get on Instagram, but the agent the agency I work with threw that account up. And also Tik Tok, same thing. We got we got the daily clips on everything. So, I'm more digestible in 60 seconds than I am in an hour. >> Hey, my team will make some clips from this. You going to be streaming later today too? >> Yeah, I'll be here for the market close. Yep. >> Back on the grind. Back from Singapore. Time to lock in. Love to see it. Thank you both. super fun coming in. We have 900 people right now watching on YouTube, which I love to see. I'm sure there's a good audience on X as well. Thank you everyone for tuning in. Give the video a like. If you haven't dropped a comment yet, feel free to drop a comment. We'll try to maybe integrate some of these things into our next video chat around humanoid robotics, which is a big sector and area that's coming up. Appreciate the audience as always. And I think made a great point. Like if you're in here and you're watching and listening, you're already taking that right step forward towards investing in yourself, your future, and really getting an understanding of AI, and how it can help you. That's going to do it for this one. I'm G Blackber, CO at Wolf. I will see you on the next one. Have a great one, everybody. Hey there, it's Gav Blackburg, COO at Wolf, and I'm so excited to see you at the Wolf Summit NYC on August 3rd. We've got the best names coming to this ranging from Peter Tuffman from the New York Stock Exchange to Vashal from Stock Talk Weekly and so many other amazing traders, investors, educators throughout the day. It's going to be in Manhattan. We've got food planned for everyone, breakout sessions, and some exciting activities, plus plenty of merch and giveaways. Grab your ticket now. They're just $250 with a public account, and you can be one of the few to secure your spot. They're moving fast. We'd love to see you there.
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