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Chris Camillo & Amit Kukreja: Why Every Stock Market Investor Needs to Be Using AI Right Now — Transcript

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0:00Hello everybody. Welcome to a very
0:02special exclusive live stream. We've got
0:05not just one amazing guest here today,
0:06but two incredible guests. Amit from
0:08Ahmed is investing as well as Chris
0:10Camilillo from Dumb Money joining me for
0:12a very special stream here talking about
0:14agentic trading and how to use AI to do
0:18research. I did a video recently with
0:19Chris. We talked about using F research
0:21and amid as well for trading and a lot
0:24of people asked for the specifics. How
0:25are you actually implementing this?
0:27What's what services are you using? what
0:29connectors, data sets, prompts, all
0:31those types of things. And I think that
0:33both the guys in here really believe
0:34that this is a big part of the future of
0:36finance as I do. So, we're going to get
0:38talking about it. Chris, I want to start
0:40off with you. You had a few quotes of
0:41our our last couple of conversations
0:43that really stood out to me talking
0:44about how, you know, this is, you know,
0:47the easiest thing, right? First off,
0:48that anybody should be able to learn
0:49because it basically can teach you
0:50itself in terms of actually using AI.
0:52It's very self teaching and
0:54self-learning. You are putting more time
0:56into this than really ever before. and
0:58AI has just become a huge part of your
0:59research process. I want you to kick off
1:01with kind of the specifics as to the
1:02tools you're using, the prompts you're
1:04using, how this is actually fitting into
1:06your day-to-day research and life.
1:09>> Dude, what a time to be alive and to be
1:12a young investor, man. Dude, it's this
1:15is this is effing nuts, dude. I'm just
1:18telling you right now. Like I I came up
1:21during a time when
1:24the advantages
1:26that institutional Wall Street had over
1:29us retail investors were so extreme
1:34it was disgusting. Um, do you guys
1:37realize that not that long ago, well, at
1:39least in my life, maybe not in your
1:41lives, you weren't, you guys weren't,
1:42you weren't around really, but but there
1:45was a time when only institutional
1:48investors
1:50had access to company management and
1:53information that you just didn't even
1:55there were no earnings calls, guys. The
1:58only people on earnings calls were
2:00institutions. Like, we weren't even
2:02allowed to listen to earnings calls. We
2:05weren't even allowed to get updates from
2:08companies. Every single piece of
2:11information
2:12had to flow through institutional Wall
2:15Street. Could you even imagine the
2:17revolt that we'd have today if we went
2:19back to those times? Now I I forget
2:22>> people are already upset for for trying
2:24to make four quarters into two quarters
2:26for burning, right? I mean,
2:29>> you couldn't imagine,
2:30>> dude. So, so first we had we had this
2:33revolution where all of a sudden because
2:35of some ruling, I forget the name of the
2:37ruling. You guys could probably research
2:38it if you're watching the show. I don't
2:40know it was 20 something years ago where
2:43where now you know companies need to
2:47inform all the investors at the same
2:49time not just institutions right like so
2:54that was a big deal but even after that
2:58like institutions have access to all
3:00these resources right and all these data
3:03sources and just massive amounts of
3:06technology that we could never afford
3:09intelligence basically scaled
3:10intelligence is what institutions have
3:13access to. Agentic trading is about to
3:16change all of that. All of it, right? Um
3:20you we're probably like months away from
3:24a single individual trader having access
3:28to more resources and more intelligence
3:32with just having a handful of agents, AI
3:36agents,
3:38the biggest hedge funds in the world
3:40three years ago. Okay? One trader
3:42trading out of his bedroom has access to
3:45more intelligence and more tool sets and
3:50more access to information
3:52simultaneously than the biggest hedge
3:54funds in the world 2 or 3 years ago. Do
3:56you guys realize how big of a deal that
3:58is? There are very few investors that
4:01are going to take advantage of this the
4:02next 12 to 24 months. So there's this
4:05window, right? This is you have these
4:07magical windows that happen every once
4:09in a while where you can arb a new tool
4:13set right before it becomes widely
4:17utilized across the entire base of
4:19investors. And that's where you can make
4:22all of your money. I don't have a clue
4:24guys how long this is going to last. It
4:26could last 6 months or two years. But if
4:28you're an investor right now, you need
4:30to get on this agentic trading like now.
4:34you need to get on it because it will
4:37collapse the arbitrage window at some
4:39point and I don't know when that happens
4:42but you need to make as much money as
4:44you can
4:46before we have a million traders using
4:49aentic trading and you have just a
4:51billion agents out there competing with
4:53each other for access to information and
4:57connecting dots. Really guys, all this
4:59is about is surfacing information and
5:02connecting dots.
5:04And if there's one thing that AI can do,
5:07it's surface information and connect
5:10dots. Like the ultimate trade decisions
5:12can still come back to us like the
5:14humans if you want them to. So I think
5:16there's going to be two types of agentic
5:17trading. There's going to be the the the
5:19the
5:22uh you know the the the mathoriented
5:26algo traders who are like trying to
5:30set you know agents to self-trade
5:33automatically, right? Just just
5:36autonomously. By the way, I think that's
5:38going to be a huge a huge part of this
5:41and I think that's the part that's the
5:42least interesting to me because all the
5:45technical traders are going to be the
5:47first to jump on this wave. And the way
5:49the technical traders think is
5:51automated. They just want to have
5:53automated
5:55um kind of trade flow, right? Based on
5:58rules and based on things that are
6:00happening. They don't want to do
6:01anything.
6:03Those are the guys that will embrace
6:04this first. But where the real
6:06opportunity is is kind of more the
6:09traditional observational investing or
6:11social arb investing that I've been
6:12doing the last 20 years which does
6:16require some degree of human interaction
6:18and analysis
6:20>> but the agents can do 95% of the work
6:23for you now right so so what I mean by
6:27that is you'll be able to set up agents
6:31to essentially try to identify all types
6:35of information early. Um, and there's a
6:38lot of ways to go about this and we
6:39could talk about this. Uh, and and it
6:42will surface information and attempt to
6:44connect dots and then basically present
6:47you with trade ideas based on all of the
6:50research that the agents are doing and
6:52the way that the agents feel that this
6:53is going to play out. And then I think
6:55for a while there's still a lot of of
7:00human analyses that will be required
7:03because the systems will be imperfect,
7:06right? And you need to ultimately
7:08determine in a lot of cases uh the
7:12degree of of confidence and conviction
7:15that you have in what the agents came up
7:17with and how much you want to put
7:19towards that trade. It could recommend
7:20trades. It could recommend conviction
7:22levels and probabilities, but the
7:24systems are so new at this and and your
7:27ability to ask the right questions, to
7:30train your agents the right way is not
7:32going to be perfect the next year. So
7:34like you're going to want to have that
7:35level of interaction. Otherwise, you
7:37make a few mistakes and you're broke,
7:38right? Nobody wants that. So, what you
7:41want is when the agent uncovers
7:43something really big, you want the
7:45ability to manually go in and be like,
7:47"Holy crap, I'm going all in on this
7:50one." Right? And and and so
7:53at a minimum, there's going to be human
7:55interaction in terms of like how big to
7:57step into the trade that the agents are
7:59recommending for you.
8:02>> I know I'm talking all place, but
8:04>> no, that makes sense to me, right? a
8:06agents in a stage right now where they
8:08can do a lot of great identification and
8:09pieces, but sounds like you still want
8:11to have a little bit of human touch in
8:12there, maybe the final 5% for sizing and
8:14actually taking the position. Uh, amid,
8:18how do you see it in comparison to where
8:19Chris is looking at it?
8:21>> Yeah, I think Chris is right. I I think
8:22the agents are I mean the the reason all
8:25of these big tech companies are spending
8:26all this capex is because AI is supposed
8:30to work. It's supposed to be
8:32transformational. supposed to actually
8:34fix and automate a lot of the problems
8:35that we've had over the past couple
8:36decades. Agents and this agentic
8:38revolution is like the next evolution of
8:41where the capex should be going in terms
8:43of actually having a meaningful change
8:44in the enterprise. So the idea that an
8:46agent can not only find a discrepancy in
8:48the market that the rest of the market
8:50is not uh seeing uh or can find the
8:53arbitrage of even 15 cents on like you
8:55know if you're trading 10,000 shares of
8:57company on 15 cents that's a decent
8:58chunk of money that people can make.
9:00That to me is very exciting. And then
9:01from Chris's perspective, the research
9:03angle, which Chris has been so good at
9:04his entire career with social arb, I
9:06feel like there's a really big
9:07opportunity for agents to help do a lot
9:09more research on that as well. So I
9:10think he's right. I think the thesis is
9:12right. The question now is going to
9:13become how quick does the technology get
9:16adopted? And more importantly, and I
9:18think this is a big part of the
9:18conversation, does AI take away your
9:21edge if your AI knows what the other AI
9:24is going to do? And where does the edge
9:26come from if everything is so smart and
9:28it sees every mishap in the market?
9:30Because really the market's based on
9:31human emotion. I mean that's what
9:32creates the discrepancies to have an
9:34opportunity. Does AI take that away or
9:36does AI hypercharge that? I think that's
9:37a a big question in the few in the next
9:395 years.
9:41It's a huge question. It's a question
9:43that I am not going to think too deeply
9:45about because I know I don't have the
9:47answer to it and it won't directly
9:50impact my ability to make money during
9:53the transitionary period before that
9:57question needs to be answered. And I
9:59think there's so many of us cuz we
10:02naturally do this. We always want to
10:03kind of like get in front of things and
10:05like figure out how this is actually
10:07going to play out, right? Like the truth
10:10is guys, the world is changing so
10:12quickly.
10:13>> Don't even try to figure out what the
10:14hell is going to happen in 12 months, 18
10:16months, right? Like just worry about the
10:19next six. Uh because
10:22chances are if you push forward 6
10:24months, whatever you thought was going
10:26to happen is radically different than
10:29what anyone else thought was going to
10:31happen and you're going to have to start
10:32all over again with your research. So
10:34I'm just trying to get in front of the
10:36next few months here. I do believe
10:40there's a massive opportunity for early
10:42adopters
10:43to
10:45discover some amazing trades. So let's
10:47just let's just think about this guys,
10:48okay? every I don't know what there are
10:51these narratives that are constantly
10:53pushing stocks up and down, right? And
10:55and the narratives sometimes could be
10:58built on on on truth, right? On ground
11:01truth, and sometimes they're built on
11:03perception, sometimes they're built on
11:05misperception.
11:06Um, regardless, things are changing.
11:10News is popping up. And because of the
11:13changing world and the changing
11:15technologies and the way people perceive
11:17things, all of a sudden the investor
11:19base takes a liking to this company or
11:22this sector or takes less of a liking to
11:25this and this is happening every single
11:27day. So
11:30for every one of the these instances,
11:33there was the earliest moment of
11:38detection when either a human or an
11:41agent could have surfaced that evolving
11:45narrative, right? And could have put
11:49together a trade thesis that potentially
11:52would have worked. Okay, so this is the
11:56stuff that we've been trying to do as
11:57humans really inefficiently, which I
12:00love how inefficient how inefficient
12:02it's been the past 15 years because it's
12:05provided tremendous amounts of
12:06opportunity for guys like me uh just to
12:09hop in and make huge gains by being a
12:12little bit better than other humans in
12:14doing it.
12:15>> Yeah.
12:15>> But but now
12:17we have these agents that are so much
12:20better than us. So, all you have to do
12:22is train your agents to get ahead of
12:27these narratives and to try to connect
12:29the dots a little bit quicker. And by
12:31the way, it works differently with every
12:35single sector. So, it obviously works
12:37differently with consumer goods and
12:39brands than it works with technology,
12:42right? Um, and a lot of times it's about
12:45what's real. A lot of times it's about
12:47what's perceived. There's so many
12:49different approaches that you can take
12:51as an investor because I know you're
12:52gonna ask me like, "What are the
12:53prompts? What are the prompt?" I I'm
12:55figuring them out, guys. I'm figuring
12:57out the prompts right now. I don't It
13:00It's It's a work in progress. We're all
13:03trying to figure it out. Um,
13:07quite honestly, I'm not even using this
13:10yet for detection, which is crazy. You
13:12should be using it for detection. I'm
13:15still manually detecting a lot of the
13:18change like if there's a new consumer
13:21trend or if there's a change in culture
13:24or consumer behavior or technology,
13:27right? There's like a new this model is
13:30now all of a sudden the best model.
13:32Well, okay, what are all the first and
13:34second order effects that take place
13:37from all of a sudden this model being
13:38the new top model or there's this move
13:41the last week towards open source? What
13:43the [ __ ] What does that even mean for
13:45AI? Like, okay, if we're going to if
13:47everybody is going to start thinking
13:49that open-source is the future, what
13:52companies are going to benefit from
13:54that? It sounds like they're going to be
13:55the traditional infrastructure
13:57companies. What companies would be
14:00harmed by that? It sounds like it's
14:01going to be the the frontier model
14:03companies. Now, that might or might not
14:05be true, but that's what investors are
14:08talking about this last week. So
14:10>> yeah,
14:11>> the second that this open model thing
14:14started to gain traction,
14:16>> what I would do is I would go into my
14:20favorite model. Okay, right now it's
14:24codeex. Uh I would I would go into my
14:27favorite model and I would say hey this
14:29thing is kind of happening. help me
14:31validate that this thing is really
14:32happening that I think is happening in
14:34terms of like conversation picking up
14:36around open models and let's start to
14:38track this every day to see if it
14:40continues to gain traction and if it
14:42does how will investors react to this
14:46okay and I don't mean like necessarily
14:48who are the winners and losers but who
14:51do investors think will be the winners
14:53and losers and if you could even get
14:55ahead of it by a day or two or three
14:58we're talking about massive gains and so
15:00as You guys know the we can't sit still
15:03for 5 minutes anymore in this market.
15:06So, if there's not a new narrative next
15:09week that's real, we're going to make
15:11one up. Someone's going to make one up.
15:13It's [ __ ] insane, guys. Like, I've
15:15never Dude, I'm telling you right now,
15:18to be an investor in 2026, it is taking
15:22years off of your life. the anxiety, the
15:25stress, like investing has always been a
15:30high anxiety roller coaster, hobby,
15:33career, whatever you want to call it,
15:35but never more so than today. Like,
15:38there's always some BS that's moving the
15:41market. And if there's not, someone's
15:42going to make some BS up. And and so
15:45there's always an opportunity to trade
15:48which
15:49>> you can see as positive or for me from a
15:51mental health standpoint is so so
15:54negative. I look at guys like Amit,
15:56>> I'm like dude,
15:57>> I re I know you're young and you could
15:59you can you could sleep 3 hours a night
16:01if you want. I'm sure you you're
16:02sleeping probably less than that knowing
16:04you. Um, and you do what you do for now,
16:08but I hope at some point the the 5
16:11million guys like I'm at I I hope can
16:14find balance for themselves because this
16:17is not a healthy industry to be part of
16:2024/7 anymore, guys. It will it will it
16:22will take over your life and it will
16:25destroy you. I I do you know guys, I
16:28used to like I used to get depressed
16:30when I was a kid on Friday afternoons
16:32because the market would close down
16:33until Monday and there was nothing to
16:35do. There was no news. There was no
16:38aftermarket. There was no crypto. There
16:40was nothing for an investor to do Friday
16:44at 3:00 until Monday morning. And that
16:47was my life. And like back when no one
16:49cared about the market under the age of
16:5130, right? like now it never ends, dude.
16:56So like I don't know. Is this an
16:57opportunity? Like probably for a while,
17:00but damn, there's so much opportunity
17:02right now, dude. There's so much
17:04opportunity.
17:05>> I want to I want to hear there's a lot
17:08of stuff that Chris just covered here.
17:09Uh the industry right now and how it's
17:11changing actually using AI. I'd love to
17:14kind of hear all your thoughts.
17:16>> Yeah, I I to Chris's point. I mean, I'm
17:20looking at a screen right here of four
17:21different charts all moving at once. I
17:23have my news feed up on this side of the
17:25screen. Like, there's just so much
17:27happening constantly. And because I
17:30cover this stuff and I create content
17:31about it, you kind of feel like guilty
17:33if you're not knowing every little
17:34detail about what's happening. But
17:35you're also just like, damn, I can't
17:37trade everything. Like, people are like,
17:38are you buying SKH Highix? I'm like, no,
17:40I don't know that much about SKH Highix.
17:42Like, I think it's undervalued. I think
17:43it makes sense like the memory trade but
17:45it's like you know it was like 200
17:47billion last year now it's a trillion I
17:49kind of feel like I missed the 5x but
17:50there's still an opportunity and then if
17:52it's not SKH it's this random solar
17:54company if it's not the solar company
17:55it's the software play that has a mean
17:57reversion that's coming up and so I
17:59think to tie it together AI is helping
18:01me at least understand what the hell is
18:04happening and like seriously asking
18:07questions to chat of just like hey why
18:08is SKHik's ADRs trading at a at a
18:11valuation that's cheaper than micro on
18:13like what's the discrepancy there and
18:14just getting that information real time
18:15is super important. But to Chris's
18:17point, there's a new trade every other
18:19second that you could be taking. And
18:20it's kind of hard when you're seeing
18:21people make a 10x on some random stock
18:24you didn't know about that ended up
18:25being a really good play if you had just
18:26seen that tweet a little earlier and
18:28done a little bit of research. So, it is
18:31like compelling, but it's also
18:33overbearing as you're trying to navigate
18:34the entire industry.
18:36>> Yeah. You mentioned to me and you just
18:38said it right now. You know, I'm kind of
18:39just thrown into chat GPT simplistic
18:41questions, right? where I'm asking it,
18:43hey, give me your thoughts on this.
18:44Break down the chart. Why is this this
18:46way? Have you seen just by starting to
18:48do that that you're starting to build a
18:50base of knowledge for using it in a
18:52deeper way? Have you thought about, you
18:54know, people talk about AI agents and
18:55I'll kind of show people because I heard
18:57a lot about agents and for me it was
18:58like very confusing and I we literally
19:00like build I had to build my own tool to
19:01like teach me how to use AI agents, but
19:03I'm just curious if you're kind of
19:04hearing some of these terms and using
19:05them at all.
19:07>> Yeah. I mean, for trading, I think like
19:09taking screenshots of your charts and
19:11putting them into your favorite LLM. Uh,
19:14and the LLM actually is smarter than
19:16most technical people out there. So,
19:18they can just analyze, hey, here's
19:19support, here's resistance, here's sort
19:21of the price action, here's the RSI. You
19:23can make a decision based off that. I
19:24think that has been super useful in
19:25terms of just getting a uh a tutor to be
19:28able to like understand what's happening
19:29on the day-to-day basis or the second
19:30by- second basis. But more importantly
19:32to what Chris has been saying, the
19:34education from a chatbt is the biggest
19:37thing. Like if you don't know, you know
19:40what theta decay is on options, like you
19:42can go down a rabbit hole for
19:44information you would have to pay
19:45$20,000 for back when Chris was our age
19:48from some dude on a TV infomercial to
19:50explain to you options and you could
19:52just learn this [ __ ] in like five
19:53minutes and then say, "Hey, give me some
19:55examples and like paper trade for me in
19:57like there's just so many ways to get
19:59the information." And that I think is
20:01getting rid of the barrier to entry to
20:02all these new market participants coming
20:04in and learning about this stuff.
20:06I'm We didn't even have guys back then.
20:08We had books. You just you go read a
20:10book about it. You'd have to actually
20:12read a book. You'd have to find the book
20:14and then read the book. Okay, that's how
20:17old I am. But let me just tell you, I
20:19think the best way for me to help
20:22describe how I'm using this right now,
20:24just AI, is through a recent example. We
20:27talked about this on uh our most recent
20:30Dumb Money Live episode last week. So as
20:32an observational social arbit trader,
20:35you know, we'll surface some change in
20:37the world. Uh this summer, one of the
20:40things that we were able to surface was
20:42that flipflops were trending hard, like
20:46harder than they've trended in the last
20:475 years. Why? Like why are flip-flops
20:50trending so hard? So AI helped us
20:54identify
20:55the driver of this trend, which was a
21:00$750
21:02fashion flipflop that launched last
21:04summer under the brand Row, okay? Which
21:08is like a, you know, like a super
21:11high-end fashion brand. And that set off
21:16all these celebrities wearing flip flops
21:18with dresses and going out to clubs and
21:21flip-flops. Now that trend has taken
21:25storm globally with the mass consumer.
21:29And so what I tried to figure out is
21:32what are the beneficiaries of this
21:35trend? what companies are positioned
21:39best to monetize this trend that are
21:44investable. And it turns out that the
21:48flip-flop that's benefiting most is a
21:50Brazilian flipflop called Javanas
21:53because something about the style of
21:56this fashion flip-flop with like a
21:59square toe kind of very traditional thin
22:02rubber. Javianis is the closest
22:06comparable to that row flip-flop that
22:08trended last year. Okay. And then and
22:11then we basically did the AI then did a
22:14lot of validating research and and
22:17confirmed that Javianis is on fire
22:20globally. Well, Javianis is part of a
22:23Brazilian company called uh Al Pragatus.
22:28Okay. They're publicly traded and these
22:30flip-flops are actually like 99% of
22:33their revenue. And unfortunately for me,
22:37I can't trade them because I only have a
22:39Schwab Global account. Schwab Global
22:41does not trade the local Brazilian
22:43market. Uh so I I can't trade this
22:48stock. There's only one brokerage in the
22:51US where you can actually trade this
22:53stock as a retail investor and it's um
22:56Amit. What's the one? It's with the
22:57crappy UI company. I'm skipping my head.
23:00You know the brokerage.
23:01>> What?
23:02>> Weeble.
23:03>> No.
23:04>> Trade.
23:05>> No. The big one with the uh um
23:08>> what?
23:09>> Fidelity.
23:11>> No.
23:12>> Are you trying?
23:13>> Interactive Brokers. Interactive
23:14Brokers, right?
23:16>> Yeah. So, Interactive Brokers has like
23:17an international account and and you can
23:21I think you can trade this company. I
23:23don't have an international broker. I
23:25think I'm going to open one this week
23:26probably just to trade this thing. But
23:28the bottom line is the amount of
23:31research I would have had to do to
23:33connect the dots and do all that
23:35validation would have been at minimum a
23:37few hours. AI did it for me in 10
23:40seconds.
23:4210 seconds. And by the way, the report
23:45was elite. It was elite that it did for
23:47me. like it was so I mean there were
23:50some mistakes in it that I identified
23:51but for the most part it connected the
23:54dots essentially in real time to this
23:57company and there were some other
23:58potential plays like Birkenstock is the
24:00one that I eventually put on for myself
24:02but Birkenstock was not a direct full
24:05beneficiary of this fashion flip-flop
24:08trend because they're styled a little
24:10different. It's two straps instead of
24:12the traditional flip-flop strap. But
24:14bottom line is this is how I'm using it.
24:17And I'm doing this every single day. So
24:20I still have to surface the trends,
24:23which is ridiculous because the AI can
24:24do that just as easily. I'm just haven't
24:26gotten there yet because my life is too
24:28crazy right now and I haven't coded it
24:30to do a lot. But there are so many
24:31people that are training their agents to
24:34surface these trends to surface the
24:36flip-flop.
24:36>> Chris, can you talk real quick just
24:38about training an agent? Like when you
24:39say that, I think sometimes people are
24:40like, "Well, how do I even do that?"
24:42Like when you're in Codex, you want to
24:43train an agent. Like what does that
24:45entail? it. It's so simple, guys. This
24:48is what's so crazy. I just I actually
24:51can't believe this. If anyone knows me,
24:54even though I've been, you know,
24:55involved with building technology
24:57companies the last few decades, I've
25:00always had a really strong tech team
25:01around me. And I'm not generally known
25:05to be technologically proficient. I'm
25:08not a developer. I don't build myself
25:11with technology. I'm doing it so easily.
25:15Um, you you do with co-pilot. I'm doing
25:17a codeex, right? And so, you simply get
25:20on codeex and you just talk to it. Man,
25:23here's what I want to do. Here's what
25:26I'm trying to do, dude. I I don't know
25:27how else to say it. You could just talk
25:29to it or or just just just write to it
25:32in in your in the language that you
25:35would use if you were talking to your
25:37tech team and be like, "Here's the
25:39thing. I need help with this. How do we
25:42figure this out? How how do we go about
25:44detecting these trends early? What are
25:46different strategies that we can use?
25:49What do you think is the best approach?
25:50Like what should we be doing here? Like
25:52let's build something that can
25:53accomplish this. And it will just you
25:57just have a back and forth conversation
25:59like you would with the tech team. And I
26:01know it's hard to believe for people
26:02that haven't done this yet. It's that
26:03easy. It's that easy. It's I mean I'm
26:06you've done it, right? Like it's it's
26:08actually that easy. And then the agents
26:11go off and do work and it will
26:12constantly come back and ask you more
26:15questions and it will give you ideas. It
26:18will execute those ideas. You'll see
26:20what's working, what's not working and
26:22and you basically iterate on what it's
26:26building. And it it's essentially like
26:30having a team of really smart humans
26:32with different skill sets that are
26:34focused on doing different things that
26:37collectively uh allow you to solve the
26:42problem you're trying to solve.
26:43>> Yeah.
26:44>> I'm I'm curious on the agent piece real
26:46quick from a like even if you're not you
26:49talk about hey I'm plugging stuff into
26:51chatbt and asking it to show me where
26:52support and resistance is. Are there
26:54things that you're starting to see like,
26:55hey, maybe I just have something
26:57autonomously run for me on a day-to-day
26:58basis? Because to me, that's the most
27:00interesting part of the agents is you're
27:01not having to prompt every time, right?
27:03You're building something that then goes
27:04out and works for you consistently. So
27:06whether it's for something for your
27:07stream emit like, hey, I need an agent
27:09that write a market open, you know, runs
27:12X algorithm and pulls for me data. And
27:14if there's certain things that are
27:15happening, those are things that I want
27:16to talk about. Or when it gets to 11:00
27:18a.m. I wanted to run it. It's it's
27:19watching it's listening to an earnings
27:21call in real time and it's sending us
27:22little pieces from the earnings call
27:24that we're talking about on stream. I'm
27:25just curious if you're thinking about
27:26this stuff.
27:27>> Yeah, this is stuff actually that I
27:29haven't implemented at a level that I
27:30probably should be right now. Um there's
27:32just so many different things to learn
27:34about this stuff and so many different
27:35ways to use the technology. From an
27:37agentic perspective, I I have had agents
27:41primarily describe to me trade
27:43opportunities and then to an extent take
27:45some of those opportunities with the
27:46whole MCP server on Robin Hood. And um
27:50you know, that's been really cool just
27:51to see how it autonomously either makes
27:52a decision or says, "Hey, I'm going to
27:54make the decision. What do you want me
27:55to do?" Uh, in terms of news updates, I
27:58have a lot of different sources for
27:59news. So, I haven't used agents to
28:00really give me the news yet, but I I
28:02would imagine, you know, those agents
28:04can find a variety of different ways to
28:05figure out what's happening in the world
28:07and then let you know. And I think in a
28:08world in which price action like today
28:10when Trump tweeted about 20% cargo
28:12tariffs, um, market tanked, right? And
28:15you kind of don't need an agent to tell
28:16you what happened. You can just go to
28:17truth social and figure it out. Like I
28:20believe in the future probably having
28:21that direct source of information coming
28:23from an agent that automatically scans
28:24the price action knows that it probably
28:27is a Trump tweet and then lets you know
28:28that you know that's where there's a lot
28:30of opportunities as well.
28:31>> I've got a I've got a Trump tweet agent
28:33already built. So
28:35>> there you go.
28:36>> We're watching the Trump post. Actually
28:38that's uh it's funny one that you
28:39mentioned that one because that's one of
28:40the more popular ones. Uh this this is
28:43one of the the agents that I have here.
28:45The Trump Post agent watches
28:46presidential post speeches and official
28:47remarks for statements that can move
28:49things. It only posts when there's a
28:50plausible market link and explains what
28:52moved, why, and how strong the reaction
28:53was. So, literally that right there,
28:55right? You're just looking at, hey, what
28:57did Trump tweet?
28:59What did it actually cause? And if it
29:01did cause something that I think is
29:02truly something that's movable, then
29:04explain to me why. That type of stuff.
29:07Chris, what what do you think this does
29:08for the like I don't want to overwhelm
29:11people, but I do think this is helpful
29:12for people. What's like simple ways you
29:14think people should start lightly
29:15integrating this into their lives that's
29:17going to be helpful long term? I think
29:19the biggest opportunity right now is not
29:21to try to do everything all at once,
29:24which can get expensive too with AI,
29:27right? So, you know, a lot of the
29:29things, you know, where Ahmed's talking
29:31about like pulling news, what I like to
29:33do is move beyond the news into true
29:37conversational data where people are
29:40just talking about things like like
29:41flip-flops for example, right? And you
29:44could actually go in now and extract
29:48tens of thousands, hundreds of
29:50thousands, even millions of comments
29:52from Tik Tok videos autonomously
29:56uh using various third-party sources
30:00connected to your AI agents, but it
30:02costs money.
30:03>> It can end up costing hundreds of
30:05dollars, thousands of dollars. If you're
30:07doing it on a daily basis, it could cost
30:10you tens of thousands of dollars, right?
30:14So rather than trying to do everything,
30:17I would try to pick one thing and and do
30:20it really well with your agentic AI. So,
30:23and by the way, you can use your agent,
30:26your agents to identify
30:29where should I start. There are a lot of
30:31ways to use agents to surface
30:33information quickly and connect dots to
30:35investable opportunities. So maybe the
30:38agents can help you find an area where
30:40you can start that maybe everyone else
30:42isn't looking at because you you don't
30:44want to try to compete with the biggest
30:47hedge funds in the world because they
30:48are all exploring agentic trading right
30:51now. And you know, having worked with
30:54these funds for years and years at the
30:56highest levels, I can tell you what they
30:59are focused on are areas where they
31:02could deploy massive amounts of capital
31:06and move very quickly on things that
31:09they have a really high conviction level
31:11in and and and things where they have a
31:14history of correlation. So these would
31:17be things like Trump talking about,
31:20you know, taxing,
31:23you know, freight liners or or whatever,
31:25right? So they're going to stick with
31:27those major macro stories, things
31:30connected to Trump, things connect major
31:33macro moves because hedge funds need to
31:35deploy billions of dollars quickly
31:37making, you know, short trades on he,
31:41you know, high uh liquid
31:45investments. We don't need to do that.
31:47If you're trading a million-doll account
31:49or a5 million or $10 million account,
31:52you don't need that type of liquidity to
31:55crush it for your account, right? You
31:57can start with just some consumer
31:59stocks. You can start with something
32:01where no one else is looking at this and
32:03you could apply the same type of agentic
32:06trading to a sector that no one really
32:09cares about and have almost no
32:13competition. Okay? where the arbitrage
32:16window could be days to weeks as opposed
32:18to seconds and you're not competing with
32:21all these hedge funds. So, you know,
32:23what sector should that be? Had the AI
32:26help you figure that out? Um, but but
32:29men like the flip-flop trade or you know
32:32I always go back to the trade I missed a
32:34few months ago with the viral sound on
32:37Tik Tok for Vita Coco that went nuts and
32:40then co you know Vita Coco sales went
32:43through the roof like how could an agent
32:46help you identify the next viral sound
32:49that's connected to a consumer brand
32:52that happens to be to be owned by a
32:54publicly traded company that might or
32:56might not benefit
32:57Well, we already now have a template for
32:59that for Vita Coco. So, feed that
33:01template into your AI and say, "Hey,
33:04this happened that had this type of an
33:07impact on this company's sales and the
33:09stock went up huge like 30% on earnings
33:11because of this." So, that's a template.
33:14Let's study that and let's make sure
33:16that if that ever happens again that we
33:19find it first and that you come to me
33:21and tell me what to do, what to There's
33:23one very simple use case, right guys? A
33:26viral sound. So there's a template now
33:28for viral sounds on T or or you know
33:31viral sounds on Tik Tok and how a viral
33:34sound on Tik Tok could lead to a big
33:37trade in the stock market. So you should
33:40have an agent that's focused just on
33:42that one thing. And guys, there's like
33:46hundreds of things like that. So just
33:49find one and start with one.
33:51>> I I think that's a really good point.
33:52like finding a use case that works and
33:55then training the agent on, hey, this
33:57trade worked out. Here's all the
33:59variables for Y. Find the next one. You
34:02know, like that that actually seems
34:04really impressive. And I mean, that
34:06probably saves a lot of time on research
34:07as well.
34:08>> I mean, this is the thing that's so
34:10exciting, guys.
34:12There's not one answer that we can give
34:14today. There's actually so many use
34:16cases on how to use agents to trade.
34:19There's so many that I'm going to tell
34:21you right now, it's going to be a while
34:23before investors crack the code on all
34:25of them. So, we are in this window of
34:28time that is the most golden time in the
34:31history of investing to be leveraging
34:33this new tool set to arb the market. And
34:38you're either going to do it or you're
34:40not going to do it. But I'm not sure
34:43that we'll ever get an opportunity like
34:45this ever again. This is like this is a
34:48window that I've never seen in my entire
34:50life. So if you're if you're an investor
34:53right now,
34:54>> the next 12 months, you could
34:57potentially hit a grand slam and and hit
35:00returns that will never be possible
35:02again just by figuring out how to
35:05leverage agents to get ahead of the
35:08market in some way for some sector.
35:12>> I I I really like two things that you
35:14said right there. One of them being the
35:16AI really can teach you also how to do
35:18this. If you're listening to this and
35:19you're like, well, I don't fully
35:21understand, you know, how can I get it
35:23to build me an agent for this? How could
35:25I get it to do this? You literally can
35:26just ask it, right? Hey, I want you to
35:28be able to build an agent for me that
35:30does accomplishes this. I have no clue
35:31how to accomplish that. Tell me what to
35:32do here. And and that brings me back to
35:34another thing which uh Amit mentioned
35:36which was the connection now with, you
35:38know, Robin Hood's offering it. Public's
35:40offering it. I could see more brokerages
35:42rolling out agentic trading that
35:43connects to your claude or your chat GPT
35:46whatever it is within there that is
35:48becoming a big thing do you think that's
35:49going to pull a lot of retail into what
35:51we're talking about here because I think
35:52that that's like the natural onboarding
35:55yeah I think it's a really big
35:56opportunity for uh the brokerages to be
35:59able to adopt I think Vlad knows this
36:01which is why they've been really quick
36:02to kind of get this stuff out into the
36:04market I think the bigger issue with
36:06this is going to be education cuz like
36:08you can set up an agent and you can do a
36:10couple trades for you. But like the
36:12ability for the agent to meaningfully
36:15architect results that would replace
36:19your full-time trading or option selling
36:22or stuff like that. Like having the
36:23trust for an agent to do it, it's
36:25important because you know the the
36:26exchanges make money off trading
36:28volumes. So they need to make the
36:29volumes continue to be high. But people
36:30are not going to let agents trade for
36:31them if they don't think the agents are
36:33good enough at doing it. So uh yeah, I
36:35think it's going to be really exciting
36:36for a lot of retail investors to see
36:38what it looks like. But I don't know if
36:39it replaces retail fully automating
36:42their trading yet until they know
36:44exactly if it's effective, which as
36:45Chris said, we don't have the answers
36:46on, you know, does the arbitrage that
36:48these agents find, are they effective
36:49yet?
36:50>> Yeah.
36:50>> I'm I'm going to let me challenge one
36:52piece of what AIT said right there.
36:55>> Historically, technical trading
36:57historically at scale has never worked
37:00at scale for investors,
37:02>> right? And it has not stopped
37:05technical traders from that world
37:08growing and growing and growing over the
37:10last 30 or 40 years. Even though these
37:12guys are basically making market returns
37:17or less
37:19uh and paying a lot of money for
37:22subscriptions to all types of technical
37:24trading platforms and all the stuff that
37:26they do. So historically
37:30the mindset that would be willing to
37:32embrace something like technical trading
37:35for more than a month uh it's a very
37:38tiny fraction of humans because it is
37:42kind of boring and kind of weird and you
37:44have to have a certain like your brain
37:46has to work a certain way to like have
37:49fun doing that. So normally most people
37:51they they they think they can make a
37:53bunch of money technical trading. They
37:55buy some course, they do the stuff for a
37:57month, then I'm like, I don't really
37:58enjoy this and they're out. Now, agentic
38:01trading, totally different. Agentic
38:03trading is something that is so
38:07approachable. It's so fun.
38:09>> Uh you don't have to be have a math
38:12head. You don't have to be have like a
38:14technically oriented uh thinking style.
38:17Like
38:18>> anyone can do it and it's so fun. uh and
38:22and it's like you having your own team.
38:24You're constantly iterating whether it
38:26works or not. I see this as highly
38:30likely that agentic trading is going to
38:32be the biggest thing ever over the next
38:34decade. And rather than having, you
38:37know, a small number of people that stay
38:39with it long term, I think it will
38:41become the majority of what traders do
38:44in perpetuity. And I think this is the
38:46biggest gamecher I've ever seen for
38:49brokers like Robin Hood. Like I'm not
38:51even sure I can wrap my head around how
38:56impactful agentic trading is going to be
38:59for brokers like Robin Hood.
39:01>> Well, what what do you think it does
39:02with Robin Hood next 10 years?
39:04>> So, it's way too early to kind of fully
39:07figure this out because I'm this is so
39:09big. I'm still trying to figure it out.
39:13But if if what I think
39:16might happen happens,
39:18this could 100x the trading volume
39:22volume for a company like Robin Hood
39:24>> and this could completely change the
39:28entire industry
39:30>> of online brokerage. Okay? Because the
39:35the raw volume of trading that might end
39:38up happening as a result of this. I
39:41mean, think about how agentic trading
39:42works. You're not restricted by what you
39:45as a human can do. You're essentially
39:47saying that every human customer that
39:51attempts to get in this world can now
39:53have an infinite amount of trading. I
39:55don't know how that works with trade for
39:58all, you know, order flow. I don't know
40:00what commissions look like. I I I don't
40:02know how that's all going to play out.
40:05It just feels really positive. It feels
40:08like this tailwind that we no one had
40:12calculated for this industry sector a
40:14year ago and it's so new. Nobody
40:17understands how it's going to work. All
40:19I'm thinking about is millions if not
40:22tens and tens and tens of millions of
40:24traders the next decade that are all
40:28trying to beat out the next trader with
40:31their army of agents. and you feel like
40:34you can.
40:35The same way that technical traders
40:37always felt like they could even though
40:39they weren't because everyone there's
40:40too much competition. It doesn't matter.
40:42It's a game, guys. It's a game that
40:44everyone can play now. And it's fun as
40:46hell. And it gets people involved in
40:49equity markets, which I've always said
40:52is the most fruitful hobby a human could
40:54ever have because we and Amit knows this
40:57better than anyone.
40:59Whether you actually
41:01beat market performance or not actually
41:04doesn't matter because the mere fact
41:07that this is going to pull you into the
41:09game and incentivize you to push more of
41:13your capital into equity markets, you
41:15end up winning even if you just match
41:18>> Yep.
41:19>> market returns, right? And that's been
41:21the biggest that's been like the biggest
41:23secret the last 30 years is that you
41:26have these people that are getting mega
41:28rich as traders. They never generated
41:31outsiz returns. They just got so
41:34consumed by the hobby of trading that
41:36they ended up putting so much money into
41:39this hobby and they ended up generating
41:41market returns which are extraordinary
41:44over the long term compounded. Right?
41:46So, no one talks about that. But that
41:49guy that got mega rich over the last 25
41:52years as a trader was just generating
41:55market returns. He just happened to put
41:57so much damn money into the market cuz
41:59it was his hobby or his new profession.
42:02And his wife thinks he's genius. His
42:04friends thinks he's genius. Meanwhile,
42:06he he never generated outsiz returns. He
42:10just put a crapload of money in the
42:11market and generated 10% returns with
42:14the market for 20 years straight.
42:15compounded and now he's a
42:17multi-millionaire, quit his job and
42:19pretends that he's an amazing trader,
42:21which is totally cool, whatever.
42:23Whatever. But like I think that we're
42:27going to see the same thing happen with
42:29aic trading. I think we're just now
42:31going to see a 100 times the number of
42:33traders embracing aic trading that
42:36embrace technical trading because it's
42:38approachable and it's fun and it makes
42:41sense. And by the way, the more people
42:43that do it, the more of your friends,
42:46the more of your family, the more of
42:47your colleagues that start doing this,
42:50the the more you're likely to do it
42:52because it becomes a cultural movement.
42:56It becomes a a a a communal connection
42:59point with other humans because it's
43:01something that you now talk about with
43:03your buddies and your family and your
43:04colleagues, right? Th this is this is
43:08actually really important, right? This
43:10is how this is how big shifts take
43:13place. Cultural shifts take place. I
43:16it's more believe it or not about the
43:18humanity of it than than the actual
43:22money making opportunity in it. Even
43:26even though people get in it for the
43:27money, it's the connection and the
43:29relationships and and the wow, I I'm
43:32actually doing something that is
43:34independent. You feel this natural
43:36independence from your job. You feel
43:38hope for your future because now all of
43:41a sudden you think in your head, I'm
43:43never going to get a raise at this job,
43:45but this is going to get me out of my
43:47hole. Which, by the way, it is, but not
43:49for the reason you think it is. Not
43:50because you're going to generate
43:51outsized returns, but because it's going
43:53to incentivize you to just be pouring
43:56instead of buying a new TV, instead of
43:58buying a more expensive car, you're
44:00going to be incentivized to push more
44:02money into your trading account. and
44:04you're just going to win because you
44:06always win in equity markets over the
44:08long term.
44:09>> The the also the really interesting
44:10piece to me there is I've always told
44:12people if you're going to be a trader
44:14like you got to take this seriously.
44:15This is a job. You got to do your
44:16homework in the morning, in the evening.
44:18You got to be staying up to date. You
44:19could now keep your day job, right? You
44:21can keep doing all the things that are
44:23bringing in your income. You can have
44:24something that is trading for you
44:26actively with high quality research and
44:28it's running simultaneously. I have a
44:30couple things I want to share real quick
44:31on this because I see people in the chat
44:32talking about MCPs and I do want to show
44:34them how I'm using that. But Amit, do
44:36you have any thoughts first on this
44:37area?
44:38>> I agree. Chris is right. This this is
44:39what Robin Hood is actually selling.
44:41Robin Hood is selling hope. They're not
44:43selling payment forward flow. They're
44:44selling hope for a better future.
44:46They're doing it through an easy UI. And
44:48you know, because Chris has changed his
44:50life with trading, he saw that Robin
44:51Hood thesis super early. He realized
44:53they were selling hope. And the more
44:54young people have hope, I mean, there's
44:56all this. The reason why their
44:57prediction markets are having billions
44:59of contracts traded for the World Cup is
45:01because of financial nihilism. People
45:03have lost faith. I mean, some of it is
45:05kind of fun gambling, but a lot of
45:06people have lost faith in financial
45:08mobility. And they're like, "Fuck it. I
45:09think Argentina is going to win. Let me
45:10put 20 grand on Argentina because it's
45:12better than this dead end job that I
45:13have." And, you know, Robin Hood, Calli,
45:16Poly Market, they're making money off of
45:17that. But more realistically, that is
45:19the expression of fear that young people
45:21have that should be channeled towards
45:23actually I should go watch Chris's
45:25thesis on Amazon and put 20,000 into
45:27Amazon and if I can see the gains
45:29compounded because there's a real
45:30company with real cash flows, you know,
45:32that's where the world can take me. So I
45:33think that's what Robin Hood's selling
45:34and I think agents are only going to
45:35hyper accelerate that.
45:37>> Yeah, really interesting point there on
45:38the hope and kind of the crossover with
45:40pieces in terms of the actual agentic
45:42trading. I did see people talking about
45:44this in the chat. MCPS. I think that's a
45:46huge thing to be aware of and pay
45:48attention to. I think that's kind of
45:49cracking the code for agentic trading
45:51because right now if you do just connect
45:53Claude or ChatBT direct to your Robin
45:55Hood brokerage account or public,
45:56whatever you're doing it with, it's
45:58going to trade off of the information
45:59that it has. And that's one of the
46:00things that I think Chris was hitting
46:01on, which is like sometimes you need to
46:03give the AI information to work off of.
46:05You talked about it with your use case
46:07of the sandals or the Coco Vita, right?
46:10You got to give it, hey, here's the use
46:11case. pull all the data, look at this
46:13data, and then find something else
46:14similar. And so, as you train it off
46:16stuff, I think it's going to make it
46:17better. So, MCPs are getting big now
46:18because it's a layer that's in between
46:20your brokerage that's actually making
46:22trades as well as and the Claudebot or
46:24whatever it is, and it's feeding it
46:26real-time data. And so, I have one I'm
46:28just going to screen share my um
46:31terminal real quick so people can kind
46:33of see the terminal. Uh this is a bot on
46:37here that is running a strategy right
46:39now. I'll just show people. I just asked
46:41it a couple minutes ago. Um, what was
46:44happening today? You know, what are we
46:45looking at? We making any trades? And I
46:47don't have to tell it this. It'll check,
46:48but I just put it in there for the
46:50effect. You know, rallies, rallies.ai,
46:52that's what I'm using here as the MCP.
46:54It's our AI app. And so running the full
46:56Monday scan in parallel, calling Robin
46:58Hood trading rallies four times. It's
47:01talking about all the sectors,
47:02everything it's looking at, and it's a
47:04trader, right? So, it's going to look at
47:05actual technicals. So, it was holding
47:07two positions here, Visa, Bank of
47:09America. It looked at the P&L on both of
47:12them, the RSI. I've just got to trade
47:13with a few thousand dollars to start,
47:15but each week gives me a little bit more
47:16confidence. Broke down on each of the
47:18items, gave its verdict, talked about
47:20the energy names that are bouncing right
47:22now. The big flag, BAC was reporting
47:25earnings. Because BAC was reporting
47:26earnings, it went ahead to sell BAC. It
47:29did that on its own market data. It got
47:31the bid ass, clean, placed, sold right
47:34there. That happened inside of the
47:35account. And then now it has its new
47:38watch list, you know, open slots, some
47:40of the cash it's looking at, why new
47:42entries, pieces like that. And so it's
47:44getting all that data that it's pulling
47:45from that intermediate layer, which I
47:47think is really helpful. And the more
47:48data that you can give, the better that
47:50it's going to be within these pieces. So
47:52I think just wanted to kind of show that
47:53because I thought Chris hit on that
47:54really, really well. And then once you
47:57now start feeding it data, you can do a
47:58lot more within those pieces. So just
48:00kind of looking real quick. Bunch of AI
48:02agents that are pre-built here that I'm
48:04kind of utilizing. You can see some of
48:05the ones that I'm looking at right here.
48:07Couple new ones that I've just been
48:08working on. Like I was talking about
48:10Rivian, like when Rivian actually gets
48:12profitable, I think it becomes more
48:13interesting. Do I want to check all the
48:15time and see when Rivian actually gets
48:16profitable? Not really, right? I'd
48:18rather an agent goes and watches on
48:20that. I think that's an idea like with
48:21Chris, like with the Amazon trade, I
48:23wonder if there's specific things. It's
48:25like, hey, when this triggers, that's a
48:26big thing for Amazon. And so I want an
48:28agent that's going to be just watching
48:30it. And you can bring agents into all
48:32different types of area, right? whether
48:33it's watching for idle cash in your
48:35account or whatever, but I think you
48:36guys are just hitting on all these great
48:38points. It's like people really should
48:39be using these uh deeper and deeper as
48:42they're continuing to watch their
48:43pieces. So, just some ways that I'm
48:44using them. And then I do have the
48:46actual um agent trading for me and kind
48:48of utilizing data on a day-to-day basis.
48:50So, it still does feel pretty new, but
48:53it's it's getting me comfortable with
48:54it. Yeah, Chris.
48:56>> So, Amit touched on something I want to
48:58talk about because I think it's it's
48:59really an important topic right now. He
49:02mentioned prediction markets. I just
49:04spent a week in Florida uh doing a
49:06father-son trip with my son who's 16 and
49:10six of his buddies. And they basically
49:13talked about two things on this trip.
49:16Girls and Khi, okay? Just just so you
49:19know, this is like a random sampling of
49:2116-year-old boys. Girls and Khi.
49:24>> By the way, Khi just raised at 40
49:25billion, which is half of Robinood's
49:27market cap.
49:28>> So wild. And let me tell you something
49:30else. I just placed one of the I just
49:34placed a bet on a on a UFC match, which
49:37is one of the first bets I placed in
49:39like two decades on a fight.
49:41>> I bet on Max Holloway. Pretty decent
49:44amount of money on Max Holiday. And let
49:45me tell you why I did it.
49:48>> I had watched a number of videos on
49:51TikTok this last week and they were
49:55great. had some great analysis on Max
49:58Holloway and Conor McGregor and it
50:02seemed really clear to me that this
50:04fight was a lock for Max Holloway and I
50:07know nothing about, you know, fighting.
50:11Like that's not an area that I really
50:13kind of focus on as you know, but it
50:15really doesn't matter what you're
50:16looking at because analysis is analysis
50:19is analysis. Okay, so what I loved about
50:22this is that it was fun as hell. Okay,
50:25so
50:27we are looking at a future where
50:30everything
50:32becomes a prediction market and do you
50:35have any idea how deeply that impacts
50:38culture especially male culture? Think
50:41about sports and gambling. That is just
50:44that is just the tipping point.
50:46Basically, every single topic becomes
50:49more interesting, more engaging, more
50:52communal when you're able to research
50:55it, place a bet on it. Whether the bet
50:57is big or little doesn't really matter.
51:00I think we talk about prediction markets
51:02like it's a bunch of degenerates. I
51:04think the degenerates that are gambling
51:05their entire income on prediction
51:07markets is probably 1% of prediction
51:10markets. 99% are people that are having
51:14fun. And by the way, I'm going to say it
51:16right now. Prediction markets, I think,
51:19are going to become a career for a lot
51:21of people the same way investing is.
51:23Okay? And you can gain a real edge
51:26because this fight, it was so obvious
51:31that if you did your homework, if you
51:33really did your homework, it was really
51:35so obvious uh that Max Holloway was
51:38going to run away with this. and the
51:40fact that you could generate insane
51:43returns by taking him. He should have
51:44been a much larger favorite than he was.
51:47Um, this is going to become a big deal
51:50the next 5 to 10 years. There are going
51:52to be people treating prediction markets
51:54like we treat investing. And I think
51:57they're mainly doing it for the fun of
51:59it, the conversation, the back and
52:02forth. By the way, you know how cool
52:04that is? People are going to get more
52:06into politics because of prediction
52:08markets. People are going to get more
52:10into science. They're going to get more
52:12into all of these cultural movements.
52:16There's what what I hate about 2026 that
52:20I loved about my youth is we all kind of
52:24talked about the same things. We all
52:26talked about the same t we all watched
52:27the same TV shows back in the day. We
52:30all watched the same big movies and we
52:32when we got together as friends, we all
52:35the same bands. Now everyone is so
52:38fragmented. across a million different
52:39things. There's not a lot to bring us
52:42together. Prediction markets kind of
52:45takes the most exciting engaging things
52:48that are happening in the world and
52:50gives us a reason to go deeper in on
52:53them and to have those discussions, have
52:56those arguments all over social media.
52:58Like I said, the the holiday McGregor
53:00fight, you know how many videos there
53:01were about that this last week and how
53:03fun they were to kind of argue with your
53:06friends about
53:08are the odds correct? Like I love this
53:11stuff. I think it's going to bring us
53:13together as humans and you know who the
53:16beneficiary is. Khi, Robin Hood, like I
53:20keep coming back to I mean I mean I know
53:22you're with me on Robin Hood, right?
53:23like
53:25>> people are not fully assessing that this
53:27is a cultural movement. This is
53:30something that is going to change how we
53:33spend our time and ultimately change how
53:36we direct our money and our that we have
53:40to deploy because it's an entertainment
53:43medium right prediction markets becomes
53:46an entertainment medium. So imagine
53:50taking the world of sports betting and
53:52just extrapolating that over the entire
53:54world, everything that ever happens.
53:56It's kind of a big deal, right guys?
53:59>> A big deal.
53:59>> It's a very big deal. And I think, you
54:01know, Robin Hood got a lot of push back
54:03on promoting gambling over the past few
54:05months with this whole prediction market
54:06thing. But my thesis on it, and I'm sure
54:08you agree, Chris, is like zero DTE
54:11options, they can also be seen as
54:13gambling. And Schwab lets you do that.
54:15Fidelity lets you. like prediction
54:16markets are just an extension of how
54:18people want to express a uh bias. Right
54:22now it's mainly sports but as to your
54:24point when it becomes everything I mean
54:26that just becomes a massive likely
54:29multi- trillion dollar market that all
54:30the market makers are going to want to
54:32get in on as well. I I would go even
54:34deeper and say that prediction markets
54:37retrains your brain to make you think
54:39about probabilities and outcomes. And
54:42once you start thinking about
54:44probabilities and outcomes on a regular
54:46basis, you're more likely to embrace
54:50equity markets and become part of the
54:53investor class. And I think prediction
54:55markets is essentially
54:58a Trojan horse to bring the world into
55:02the investor class. you maybe you come
55:05in to make a bet on Love Island or on
55:08something related to Taylor Swift's
55:10wedding or a UFC fight and you start to
55:15think about probabilities, outcomes and
55:18you realize, you know what, I can make
55:21more money kind of doing the same thing
55:24with stocks, right? It also it also it
55:27feels very tied in there because you can
55:28actually use prediction markets to trade
55:30on things that are related to the stock
55:32market like earnings, right? If I don't
55:34want to have to take the stock
55:35directionally and I just want to bet
55:36that they're going to beat on revenue or
55:38I want to bet a specific segment in the
55:39company is going to outperform, right? I
55:42can get very minuscule now with what I'm
55:44actually trading and investing in and it
55:46can still be things that are really part
55:47of the stock market.
55:49>> No, you you're you're exactly you're
55:51exactly right. It It just makes
55:53everything richer and more interesting.
55:57>> I I love it so much because it's just it
56:02makes everything more relatable to
56:04regular people, guys. Like 95% of
56:08people, we don't want to study charts.
56:12We do not want to like dive deep into
56:16fundamental analysis. We hate that. I
56:19hate that, guys. I'm not a technical
56:21trader or a fundamental analyst. I
56:24actually hate all of that. It bores the
56:26hell out of me. Um, but prediction
56:29markets, uh, being an observational
56:32investor, like just watching the world
56:36change in real time and connecting dots
56:38to investable opportunities, no matter
56:41what that means, whether that's an
56:43investable opportunity in a prediction
56:44market or in the stock market. Dude,
56:48that is something that anyone can do and
56:51have fun with. So, like, this is a
56:54game-changing moment that we're having
56:56right now. And there are only a few
56:58companies that are really kind of at the
57:00nucleus of of what's happening. And
57:02yeah, Polish is one, Robin Hood is
57:05another. And you have to have a
57:07long-term outlook for this. It's not
57:08about what happens next quarter. It's
57:10about what happens in five years when
57:12you have a billion people that are doing
57:14this stuff every day.
57:16>> Yeah, we we are coming up on an hour
57:18here. I want to be a struggle of your
57:19guys time, but awesome audience. Chat's
57:21been running this whole time. There's
57:22too many messages for me to even catch.
57:24Yeah, great.
57:25>> Gav, I I got to say something about it
57:27here. I I just have to say it.
57:28>> Please,
57:29>> I have to say it.
57:30>> I have said this so often the last year.
57:34The the the investor investors at large
57:38have never been dumber. And I mean that
57:40because there's more investors than
57:42ever. So, it's a natural evolution that
57:44we go through. People come into the
57:46market. Uh I think people are really
57:48lazy with their research. I think
57:51institutions have become lazy with their
57:53with their research and that's opened up
57:56a tremendous amount of opportunity for
57:58investors that are willing to evolve
58:01that are willing to just take things a
58:04bit more seriously and and not just
58:07follow
58:08you know not just follow the the noise
58:11every day in the market. Amit is one of
58:14the very few young investors that I have
58:17watched over the last few years that has
58:21meaningfully evolved his thinking,
58:23evolved uh how he thinks about research
58:27and like and his biases, right? Like so
58:30many of these investors, especially the
58:32guys that came from crypto or from Tesla
58:34even, they they they get in this zone
58:36where they have they they have a bias
58:40towards a certain company or a certain
58:42CEO or a certain thesis in the market
58:45and they just get stuck on it. So even
58:47when the world changes or that thesis
58:50proves to be wrong, they don't want to
58:52admit it to the world. Amit, something
58:53that you I'm so proud of you of is that
58:57you are willing to change your mind. you
58:59even companies that you heavily support
59:01when you see things you don't like or
59:03things that are changing, you're not
59:05afraid to find the ground truth in that.
59:07And like I've watch you evolve as a
59:09young investor the last few years and I
59:12was hoping that this would happen. Like
59:14I I just if there's one guy for people
59:17to be following day in and day out, I
59:20would say it's you. And it's not even
59:22because of what you're saying today.
59:24It's because like what you're going to
59:25be doing a year from now. Like I just
59:27have absolute confidence that in the
59:30next few years you are going to evolve
59:32to be one of the most informed, smartest
59:36guys, you know, reporting on market
59:38commentary and and kind of how this
59:41market's evolving and opportunities.
59:43Like I love following your content and I
59:46just wish we had more financial creators
59:51like you that took it this seriously and
59:54and like everything that you're doing is
59:55right. So, I hope you continue to
59:57evolve, right? A and and and call
1:00:01yourself out and like not get stuck in
1:00:04biases, not like admit when you're wrong
1:00:06and just evolve. Dude, you're so young,
1:00:09dude. I can't even imagine where your
1:00:11career is going to grow. I'm learning
1:00:13from you. Like, I follow your daily
1:00:15stuff. So, I was so excited to be on
1:00:17this show with you cuz I mean, you know,
1:00:19when you just got started, I was like,
1:00:20"Dude, I I don't know, man. This kid,
1:00:23>> I think you're going to be big."
1:00:25Yeah. Yeah. No, dude. Chris, I I really
1:00:27appreciate that. Obviously, I've learned
1:00:28so much from you and the dumb money
1:00:30guys. And uh you know, I a lot of people
1:00:32don't know, but part of the reason I got
1:00:33a allocation into Appronic was because
1:00:35of Chris uh a few years ago, and I
1:00:38called him. I was like, "Chris, like
1:00:40does it because I got we got in touch
1:00:42through mutual contact and I was like,
1:00:43Chris, does it really like is robot
1:00:45shit?" And he was just like, "Amit just
1:00:48look at where the world is going. do
1:00:50like 10 minutes of research and then
1:00:52tell me if you want to invest in this
1:00:53company under a billion dollars and you
1:00:55know I took those 10 minutes of research
1:00:57watched a lot of Chris's videos on
1:00:58robots and I was like yeah and then that
1:01:00investment has changed my life that's
1:01:01been a massive investment for me so
1:01:03>> and listen robots is one of the areas
1:01:05I'm talking about where people that are
1:01:06investing in robots they get stuck on a
1:01:08thesis I'm like you've seen how I change
1:01:10on robotics I'm like guys
1:01:12>> the TAM is as big as it's ever been but
1:01:15the timelines are not even what I
1:01:17thought I was always conservative on
1:01:19robotic timelines. They're we're not
1:01:21even going to hit the timelines that I
1:01:23thought we were going to hit. And that's
1:01:24okay. That's okay.
1:01:25>> Well, but to your point, Chris, you've
1:01:27been able to publicly call out a lot of
1:01:29the hype around a sector that you are
1:01:32the guy. Like the way people when people
1:01:34think of humanoid robots, they think of
1:01:36Chriso. And you've got a lot of new
1:01:37people jumping on the trend, but they're
1:01:40jumping on the trend on these companies
1:01:41that like
1:01:42>> don't really have anything there. And
1:01:44you're you're not afraid. You could be
1:01:45pumping those companies to be like,
1:01:46"Yeah, that company's amazing to help
1:01:47the humanoid industry." But in your ad,
1:01:49you're like, "No, this industry is still
1:01:50very nent and we cannot get overly
1:01:53excited over things like SpaceX at $230
1:01:56because it'll leave people holding the
1:01:57bag at 137."
1:01:59>> Well, you got we're always learning,
1:02:01guys, especially in a nent industry
1:02:03sector. I think the biggest takeaway
1:02:05that I'd love young investors to to take
1:02:08is, dude, we're all learning, dude. Stop
1:02:12thinking you're so smart, man. like the
1:02:14this market will destroy you if you get
1:02:16overconfident in in your own ability.
1:02:19Like you just got to be open to being
1:02:21wrong constantly about everything. Uh
1:02:25you got to always look at the devil's
1:02:26advocate viewpoint on your thesis. You
1:02:30have to always poke holes. This is what
1:02:32I do with my community. I'm like, "Guys,
1:02:34prove me wrong. Please tell me where I'm
1:02:36wrong because I got a lot of money on
1:02:38this." And the second, you know, the
1:02:39second that I'm wrong on it, I will
1:02:41reverse. I will literally get out of
1:02:43that trade and sometimes I will just
1:02:45I'll reverse the trade and I I'll I'll
1:02:47take the opposite point of view. Even if
1:02:49I talked about it on my show and I look
1:02:52like an idiot, I don't care, dude. I
1:02:54don't care. Uh you have to think like
1:02:58that. You have to be unbiased. You have
1:03:00to be willing to be very wrong because
1:03:03you will be in this market. There's no
1:03:05other way, especially if you're talking
1:03:06about a a new sector like robotics.
1:03:09Dude, we're all learning.
1:03:10>> Yeah.
1:03:12really great points and I I concur.
1:03:15Really glad I discovered both of your
1:03:16channels and I can tell from the chat
1:03:18that they feel the same way. My favorite
1:03:20commentator was we got the Amit and
1:03:21Chris Camila stream before GTA 6 came
1:03:23out. So that's
1:03:26glad we're able to make it happen. Um so
1:03:29I saw a lot of people that came in said
1:03:31that they were here late. Uh this will
1:03:32turn into a recording once it finishes
1:03:34so don't worry about it. We'll also get
1:03:35an edited video posted up to YouTube as
1:03:37well. Make it very easy to find. A lot
1:03:40of great information. Um I feel like we
1:03:42have to run this back maybe maybe in a
1:03:43few weeks hop back on continue to share
1:03:46some thoughts here for people but I want
1:03:47to keep it digestible for them for now.
1:03:49Amit want to come to you for any final
1:03:50comments here just you know when it
1:03:52comes to getting involved in the markets
1:03:54trading agentic side just trends that
1:03:56you're seeing happening what you would
1:03:58at least tell people like go out if
1:03:59you're going to take one actionable step
1:04:00from this you know at least at least try
1:04:02something.
1:04:04I I would say people that are already
1:04:06watching this have have have taken a
1:04:08step uh if they're new to the markets.
1:04:09If not, you know, people probably just
1:04:12tuned in to kind of get our
1:04:13perspectives. But, uh to Chris's point,
1:04:15like the more you are ingested in
1:04:17financial commentary and news, the more
1:04:19you actually care about it. Like the
1:04:20fact that all of us here watching
1:04:23probably know something about Kevin
1:04:25Worsh is ridiculous because if you ask
1:04:27most people like, "Who the [ __ ] is
1:04:28Kevin? Why should I give a [ __ ] about
1:04:29the Fed chair?" you know, like we all
1:04:31are listening to every syllable of what
1:04:33this guy says to try to figure out if
1:04:34stocks are going to go up or down based
1:04:36on rate hike expectations. So, I think
1:04:38just being in love with the game is so
1:04:39important. I think uh observing and and
1:04:41in consuming information from people
1:04:43like Wolf and Chris and myself is is
1:04:46super fun and it and it's it's it's
1:04:47entertainment to an extent, but it's
1:04:48also informative because you don't have
1:04:50to agree with everything we say, but
1:04:51because you're in that sector of just
1:04:53like consuming the knowledge, it it it
1:04:55forces you to to care more about
1:04:56markets. And then from an AI
1:04:58perspective, yeah, I mean, I think Chris
1:04:59talked about a lot of really good points
1:05:00today. Starting up an agent and giving
1:05:03it prompts and then having it do the
1:05:05recursive learning where it trains
1:05:06itself in whatever field when it comes
1:05:08to trading, whether it's technical
1:05:10analysis, whether it's newsflow, whether
1:05:11it's modeling, um, you know, what this
1:05:14arbitrage in the market was able to show
1:05:17and where you can find other
1:05:18arbitrageages, whether it's on sneakers
1:05:19or energy drinks and all the different
1:05:21cool things that Chris has been able to
1:05:22find out over the past couple years.
1:05:24that stuff is super tactical that people
1:05:26can do that I'm going to take advantage
1:05:27of over the coming weeks and do myself.
1:05:29And I think that, you know, Claude's
1:05:31announcement about making Fable 5
1:05:32available to everybody is Claude
1:05:34acknowledging, hey, like everyone wants
1:05:36the tokens. We can't keep them super
1:05:37expensive for people to be able to use
1:05:39it. So the tokens will get cheaper. The
1:05:41ability to generate those tokens will
1:05:42get um even more intuitive and then it's
1:05:45just a question of, you know, taking
1:05:46advantage of the opportunities.
1:05:47>> Yeah. I also want to give a shout out to
1:05:49Emit. Last couple streams we've done,
1:05:51it's been hoodie emit, but today we got
1:05:53crisp Nvidia polo emit up in here. So
1:05:57check that out. That's that's that's
1:05:59crisp. Like that. Is that a GTC polo?
1:06:02>> Someone gave it to me at a meetup in
1:06:04Miami. Someone who worked at Nvidia.
1:06:05>> Very cool. Very cool. So shout out to
1:06:07that. Um, also I'm thinking uh Evan was
1:06:10messaging me. I think the next stream we
1:06:12should do, we should talk about uh
1:06:13humanoid robotics. I think that that
1:06:15would be pretty interesting for our next
1:06:16one. Maybe we do that late this month,
1:06:18early August. Uh, but great having you
1:06:20on, Chris. I know the audience loves
1:06:22you. Uh, any final comments you want to
1:06:25share as well as kind of like a one-step
1:06:27takeaway? Go do this after this stream.
1:06:30Ye. Yeah. I mean, it's summertime, guys.
1:06:34Just remember to take a break from the
1:06:36market. I always tell my my big
1:06:38challenge to everyone is see if you can
1:06:40turn your phone off for 24 hours and
1:06:43don't look at the market for for one
1:06:45trading day. Call your friend. Tell your
1:06:48friend, "Hey, if something crazy
1:06:50happens, text me and I'll turn as long
1:06:53as you don't get that text."
1:06:54>> Yeah.
1:06:55>> From your friend. Watch what it does to
1:06:57your head and your day and your week.
1:07:00Like I dude, do something other than
1:07:02watch the market during a market day.
1:07:04It's going to change your whole summer.
1:07:06And then try to try to extend that to
1:07:07like two days and three days. I I do
1:07:10this stuff. People don't believe me. I
1:07:12do it. It's absolutely amazing. So, I'd
1:07:15like to see you do it for once. I I I I
1:07:17don't think you can, but you should try.
1:07:19>> I I did I just went to Singapore for a
1:07:21week, so I I I took a break for a week.
1:07:23>> Yeah, but you were on your phone
1:07:25checking your portfolio. Don't even
1:07:27Doesn't count. You could be It doesn't I
1:07:29don't care where you are. No, I want you
1:07:32to go a full day without knowing,
1:07:35>> dude. I It It is mentally so cleansing
1:07:39>> to know that it's happening and you
1:07:42don't know about what's happening. Like
1:07:44I promise you it is it is the best
1:07:47cleanse you will ever do to do that and
1:07:50to to you cuz you have to you have to
1:07:54come to the realization that it's not
1:07:57going to destroy you for you not to know
1:07:59what's going on in a market day. You
1:08:01have to do it as should we put stop
1:08:03orders in before taking a day or two
1:08:05away. No, just call a friend that you
1:08:07trust and say, "Hey, if anything crazy
1:08:10happens to anything in my portfolio that
1:08:11I should like I need to trade on, text
1:08:14me and then and then you'll go back. As
1:08:15long as you don't get that text, you're
1:08:16cool."
1:08:17>> I think I think this is where the agents
1:08:18come in. You know, you have your it's
1:08:20called day off agent and it's like,
1:08:21"Hey, you know, you monitor, shoot me a
1:08:23text if anything's needed, you know,
1:08:25trim any positions if something
1:08:27happens."
1:08:28>> This is uh this is going to free up
1:08:29people's time. That's why I'm so bullish
1:08:31on this overall and really just this
1:08:32conversation is time is the mo most
1:08:34valuable asset of all. Anything that can
1:08:36create more time or save you time, I am
1:08:38all in on. And this clearly is going to
1:08:41not only double people's time, but like
1:08:43Chris was saying, maybe 10, 100x it. But
1:08:45Gab, the best the best takeaway from
1:08:48that exercise is it allows you to spend
1:08:52more time doing real research as opposed
1:08:55to just being distracted by the news
1:08:59flow and the noise of the market.
1:09:01Because look, I'm fine with you doing
1:09:03research during that day off,
1:09:04>> but I what I found is that investors are
1:09:08so consumed by the noise and the
1:09:11movement of news flow that they cannot
1:09:14focus on differentiated independent
1:09:17thinking and research, deep dive
1:09:19research that is required to find the
1:09:22next big opportunity because they're
1:09:24just sitting at the surface level of
1:09:25market noise all the time. So, if you
1:09:27could remove yourself from that surface
1:09:29level market noise, you're going to open
1:09:32up more opportunity to actually find the
1:09:35gems uh that are going to hit in the
1:09:37next days to weeks to month using
1:09:40independent research and thinking.
1:09:42>> Well said. Well said. Uh encourage
1:09:45everybody if you haven't seen their
1:09:46accounts yet, it isinvesting
1:09:48Chris Camilillo. You can check out both
1:09:50of those. There's also Chris Camilillo
1:09:51daily clips now on Instagram if anyone
1:09:53hasn't seen that. Those are great pieces
1:09:55as well.
1:09:55>> Well, those have been great. those
1:09:56popped up in my feed. I'm like, I know
1:09:57this guy. This is great. So, I love it.
1:09:59>> Took me eight years to get on Instagram,
1:10:01but the agent the agency I work with
1:10:03threw that account up. And also Tik Tok,
1:10:05same thing. We got we got the daily
1:10:07clips on everything. So, I'm more
1:10:10digestible in 60 seconds than I am in an
1:10:12hour.
1:10:13>> Hey, my team will make some clips from
1:10:15this. You going to be streaming later
1:10:16today, too?
1:10:17>> Yeah, I'll be here for the market close.
1:10:19Yep.
1:10:19>> Back on the grind. Back from Singapore.
1:10:22Time to lock in. Love to see it. Thank
1:10:24you both. super fun coming in. We have
1:10:26900 people right now watching on
1:10:29YouTube, which I love to see. I'm sure
1:10:30there's a good audience on X as well.
1:10:32Thank you everyone for tuning in. Give
1:10:33the video a like. If you haven't dropped
1:10:35a comment yet, feel free to drop a
1:10:36comment. We'll try to maybe integrate
1:10:38some of these things into our next video
1:10:40chat around humanoid robotics, which is
1:10:42a big sector and area that's coming up.
1:10:44Appreciate the audience as always. And I
1:10:46think made a great point. Like if you're
1:10:47in here and you're watching and
1:10:48listening, you're already taking that
1:10:50right step forward towards investing in
1:10:52yourself, your future, and really
1:10:53getting an understanding of AI, and how
1:10:54it can help you. That's going to do it
1:10:56for this one. I'm G Blackber, CO at
1:10:57Wolf. I will see you on the next one.
1:10:58Have a great one, everybody. Hey there,
1:11:00it's Gav Blackburg, COO at Wolf, and I'm
1:11:02so excited to see you at the Wolf Summit
1:11:05NYC on August 3rd. We've got the best
1:11:08names coming to this ranging from Peter
1:11:10Tuffman from the New York Stock Exchange
1:11:11to Vashal from Stock Talk Weekly and so
1:11:14many other amazing traders, investors,
1:11:17educators throughout the day. It's going
1:11:19to be in Manhattan. We've got food
1:11:20planned for everyone, breakout sessions,
1:11:22and some exciting activities, plus
1:11:24plenty of merch and giveaways. Grab your
1:11:26ticket now. They're just $250 with a
1:11:28public account, and you can be one of
1:11:31the few to secure your spot. They're
1:11:33moving fast. We'd love to see you there.

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