287: [Andrew Einhorn] LevelField's Ai Investment Research Platform Explained
In this episode of About That Wallet, host Anthony Weaver chats with Andrew Einhorn, the brain behind Level Fields AI. They dive into how AI is shaking up personal finance and giving everyday investors a fighting chance against the big dogs. Andrew spills the beans on event-driven investing and how being in the know can lead to some sweet gains, even if you're not a market whiz.
Get ready to hear about Big Bear AI, a company riding the wave of a short squeeze thanks to some juicy government contracts. Andrew's platform helps you keep tabs on the news that moves stock prices, so you can make smarter investment choices. He also tackles the info overload independent investors face and how Level Fields AI's cool features can help spot short-term gains while keeping risks in check.
As they wrap things up, Andrew shares his mission to democratize investment strategies that were once just for hedge funds. This episode is a treasure trove for anyone wanting to boost their financial know-how and tackle the wild world of investing!
💬 Question of the Day: How do you plan to incorporate AI into your investment strategy? Share your thoughts in the comments below!
=||Chapters||=
(00:00) Snippet
(00:31) Intro
(01:26) Big Bear AI
(04:22) Level Fields AI
(10:00) Pershing Square trades
(13:49) Benefit of utilizing an AI platforms
(22:15) Create your own ticker
(26:06) TechCrunch
(34:33) Event driven investing
(40:03) habits that you want to improve in your life
(41:36) How to get kids involved in watching the stock market
(45:21) AI is easy and free
(46:46) Final Four Questions
(48:45) Contact Andrew
💡 Connect with Andrew Einhorn:
To learn more about Level Fields AI and stay updated on investment strategies, visit Level Fields AI and subscribe to their newsletter.
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episode 287
Transcript
>> Anthony Weaver: This episode is sponsored by
Speaker:kitcaster.com back.
Speaker:>> Andrew: All this dinosaur blood and oil. Like, why can't
Speaker:we get down there and just put a rod,
Speaker:you know, into the lava and put some steam out there?
Speaker:And then, boom, there you go. Solve the problem. Iceland is
Speaker:100. That.
Speaker:>> Anthony Weaver: Yeah, they are. Um, and I actually thought that was actually pretty cool that
Speaker:they have that. And I'm, um, surprised nobody else had
Speaker:decided to think, like, oh, yeah, they doing something great. Let's
Speaker:copy that. Yes.
Speaker:Welcome, everybody back to another exciting show, the about
Speaker:that Water podcast, where we help the sandwich generation
Speaker:build strong financial habits so that they can
Speaker:spend money, talk about money, and even
Speaker:enjoy their money with confidence. Today I have somebody
Speaker:who is heavily invested in the AI
Speaker:spectrum. But remember, AI is just an
Speaker:umbrella. This is actually helping you to
Speaker:do better with your investments. And. And
Speaker:thank you so much for coming on today. How you
Speaker:doing today, Andrew?
Speaker:>> Andrew: I'm great, thanks. Thanks for having me on. Appreciate it.
Speaker:>> Anthony Weaver: No problem. So
Speaker:I'm tired of hearing AI. AI does AI
Speaker:That. Um, but we
Speaker:all. It's. It's our life right now, and we still trying to
Speaker:get better with it. And that's the reason. One. One of
Speaker:the reasons why I really glad that you decided to come on this
Speaker:show to kind of help us get better without
Speaker:finances, utilizing AI.
Speaker:Um, so first off,
Speaker:what is a good
Speaker:AI trade right now that you're looking
Speaker:into?
Speaker:>> Andrew: Oh, when we were doing one actually today, if I
Speaker:remember, is Big Bear AI, which is an AI
Speaker:company itself. It's also a stock
Speaker:bbai. Um, it's in the middle of
Speaker:a small, short squeeze, so they
Speaker:had, uh, a number of government contracts that they
Speaker:secured, which was a bit surprising because I
Speaker:thought. I thought the government was closed for a little while,
Speaker:um, with all the cuts they're making. But seems
Speaker:like they're still issuing new contracts, and they got a couple
Speaker:big ones. And so those who are betting against the share
Speaker:price are getting squeezed.
Speaker:So it started out about $3.80.
Speaker:Last time I looked at it was at
Speaker:$9.40 and
Speaker:climbing. So we sent a notice to our members,
Speaker:and we did the math. We're like, there's, uh, like,
Speaker:2.4 million options
Speaker:contracts that have been sold that expire
Speaker:in a week at $8. Like, these people are gonna
Speaker:have to get out of this position. And the only way to do that is
Speaker:to buy the stock, which forces it
Speaker:up. So, you know, within, like, three
Speaker:hours, uh, our members made 50%.
Speaker:Today I did, too. So that was fun.
Speaker:>> Anthony Weaver: Nice.
Speaker:>> Andrew: And, um, those are always Good. So it's an
Speaker:interesting AI company that uh,
Speaker:they really track foreign news. That's their
Speaker:specialty. Track and analyze news from foreign
Speaker:companies and kind of give a summary to the State Department,
Speaker:CIA agents and, and Defense Department
Speaker:about all the bad stuff that's being said about
Speaker:America globally and kind of rising
Speaker:trends. Uh, so as you can
Speaker:imagine, given some of the recent
Speaker:moves with this new
Speaker:administration, there's some concerns about market
Speaker:reactions globally, uh, to say the
Speaker:least.
Speaker:>> Anthony Weaver: Right.
Speaker:>> Andrew: Um, so they might be in the right place at the right time.
Speaker:You know, chaos is good for business.
Speaker:And I think the last contract they got was like,
Speaker:I want to say it's 185 million, but I could be
Speaker:remembering it might be more than that.
Speaker:>> Anthony Weaver: Jeez. I mean, that's good for them. Good for
Speaker:business.
Speaker:>> Andrew: Yeah, it's, it's, it's very good for business.
Speaker:You know, I, I wish them luck. I, uh, haven't
Speaker:had a chance to really go deep into their technology,
Speaker:but I did notice, you know, the
Speaker:stock for a while kind of traded like a meme stock,
Speaker:you know, for like last six months. Um, it just
Speaker:traded with a bundle of other ones that were like
Speaker:highly volatile, like the quantum stocks and
Speaker:stocks, uh, like upstarts. It was very like, was clearly
Speaker:algorithmic movements. But now
Speaker:it's like completely broken out from that. It's on its own and it's
Speaker:starting to get attention on the Reddit forums
Speaker:and you know, you got all the moon, moon and
Speaker:rocket icons coming out.
Speaker:>> Anthony Weaver: Yeah, look out.
Speaker:>> Andrew: Love all the time,
Speaker:uh, diamond hands and all that kind of stuff. Although, you know,
Speaker:I was reading reports and the diamond market is like dying
Speaker:because now they can make them in labs. So some of
Speaker:the companies like the beers and uh,
Speaker:Signet, they're like hoarding diamonds just, just, just
Speaker:to keep demand up.
Speaker:>> Anthony Weaver: Right. But if you think about it, because I, uh, think
Speaker:somebody was looking into the Rolex, for
Speaker:instance. The plain Jane. Rolex is
Speaker:more expensive and more of a timeless
Speaker:piece. But as soon as you start adding those diamonds into
Speaker:there, you're chipping away the gold
Speaker:and to add in the diamond. But the gold is
Speaker:more of a commodity, so it's constantly fluctuating
Speaker:dayto day, like midday. I believe it changes what is
Speaker:changed twice a day. Right. If I'm not mistaken.
Speaker:>> Andrew: Yeah, I mean the, the price is moving at least on my
Speaker:monitor all the time. Oh,
Speaker:a bit in ass. So, yeah, it's uh,
Speaker:it's, it's highly aligned with the
Speaker:treasury yields right now. So if you watch the
Speaker:10 year treasury yield, you know, every
Speaker:time starts to go up.
Speaker:>> Anthony Weaver: So you started, so you started this company called
Speaker:like Level Fields AI. Like what problems
Speaker:does this company actually starts to
Speaker:solve?
Speaker:>> Andrew: So the main challenge
Speaker:is trying to keep up with information
Speaker:flow. So if you are a Goldman
Speaker:Sachs size organization where you can
Speaker:assign one person to cover 10 stocks and
Speaker:then you know, have 2,000 people to cover the whole
Speaker:market and international markets,
Speaker:good for them. But if you're a
Speaker:independent investor and you're
Speaker:trying to monitor 6,000 stocks just on the
Speaker:US exchanges, all their announcements,
Speaker:you know, the four earnings releases per year,
Speaker:the product launches, the CEO
Speaker:changes, what's going on in the macro environment, what's coming out of
Speaker:the White House, uh, which is just in
Speaker:a job in of itself to follow the executive orders
Speaker:daily. You're drowning in information, you
Speaker:can't, you can't keep up with it. So what
Speaker:normally happens is people just kind of grab
Speaker:10 stocks that they know and that are talked
Speaker:about the most by the media.
Speaker:Mag 7, you know, the Teslas and the Googles
Speaker:and the Microsofts and Nvidias and everybody
Speaker:crowds the same trades and the media keeps talking
Speaker:about the same companies. But there's like thousands of
Speaker:other really great companies out there that you're missing out
Speaker:on while everyone's pouring into the same
Speaker:trades. So the idea was
Speaker:can we kind of level the playing field and
Speaker:give superpowers to an average investor
Speaker:by having AI search agents
Speaker:monitor for not just
Speaker:news, but news that actually matters,
Speaker:Right. Company announcements that we have
Speaker:already correlated to share price
Speaker:moves. So by the time you hear about it from,
Speaker:from our system, you know, like this is an event
Speaker:that's going to change the share price. What you do
Speaker:with that is up to you. Some people trade on it, some people are just using it
Speaker:to monitor, you know, their existing holdings. Some
Speaker:people are just looking for companies they never heard of.
Speaker:And what starts to happen is you find these
Speaker:like really interesting gems out there. You know,
Speaker:companies that uh, they'll announce they're doing a
Speaker:special dividend of like 8% and all you have to
Speaker:do is buy the stock and hold it for two days and
Speaker:you're eligible for an 8% dividend.
Speaker:>> Anthony Weaver: Nice.
Speaker:>> Andrew: You can look at that and say, well why are they doing
Speaker:it? That's the next question. And you might find
Speaker:something, some, some strange correlation and that's there,
Speaker:right? Like a coal company starts to do it. All of a
Speaker:sudden you might ask what's going on
Speaker:with coal? And then you look and you see coal prices have like
Speaker:tripled because the war started in,
Speaker:uh, in Ukraine by Russia, and Russia cuts
Speaker:off the gas to Europe and the Europeans start switching to coal away
Speaker:from gas. Right. So those things have this like,
Speaker:butterfly effect that the system's able to
Speaker:identify for you. So you don't think about it.
Speaker:>> Anthony Weaver: That is great. Um, because we were just talking about it like
Speaker:in the green room, I guess you'd say, is like
Speaker:how the President is saying certain
Speaker:things and next thing you know, we don't know what's going to
Speaker:happen next.
Speaker:>> Andrew: Yeah, yeah, exactly. And you start to see some
Speaker:of the reactions. Right? So like
Speaker:oil companies, for example,
Speaker:they know, right? Deregulation is coming.
Speaker:They don't know exactly what that looks. Well, maybe they do. I don't know.
Speaker:They could have had the conversations behind the scenes with Trump, who
Speaker:knows? But they start to take a little bit of a
Speaker:more relaxed approach with their cash. So
Speaker:they're sitting on cash just in case, and then all of a sudden they
Speaker:realize, oh, in the next four years we're going to get
Speaker:rid of all these regulations and fines.
Speaker:We, we can actually take our cash and buy back our
Speaker:stock. Fewer shares means more
Speaker:value per share, drives the share price up.
Speaker:And so you start to see this, this reaction on a daily
Speaker:basis to like these executive orders that
Speaker:are coming out seemingly every
Speaker:few hours. And it's changing the market every
Speaker:time it drops. I mean, it's like one day
Speaker:it was like, oh, you know, slap tariffs on Canada
Speaker:and Mexico. So you see all
Speaker:the car companies just crater.
Speaker:And then it was like two hours later, Mexico's
Speaker:like, we made a deal.
Speaker:>> Anthony Weaver: Yeah, I heard.
Speaker:>> Andrew: Yeah, the auto stocks
Speaker:popped and you know, we're like, all right, igm,
Speaker:um, you know, make their stuff in Mexico.
Speaker:>> Anthony Weaver: Um, can you explain a little bit like how
Speaker:like level fields actually look at the
Speaker:approach of event driven
Speaker:investing?
Speaker:>> Andrew: Yeah, so we, we're, we're
Speaker:effectively doing what large hedge funds
Speaker:do to make themselves so
Speaker:successful. M. The difference is we're
Speaker:democratizing access to it. So if
Speaker:you're a Bill Amman running Pershing Square,
Speaker:uh, you know, and he's responsible for. It's
Speaker:commonly referred to in the industry as the greatest trade of
Speaker:all time. Which I don't know if
Speaker:it was the greatest, but it was certainly one of the biggest.
Speaker:And he was basically shorting
Speaker:Covid time, shorting the
Speaker:market during COVID made two and a half billion dollars
Speaker:inside of a, uh, month of a 20
Speaker:million dollar or so investment. So they do this
Speaker:stuff all the time, Right. They're betting on the events and then
Speaker:There's a reason for it. About 15% of
Speaker:all their trades are based on events. Like purely
Speaker:events and other repositioning is often
Speaker:driven by events. But you need a lot of people to monitor the market,
Speaker:to figure out what to do and how to act and how to react to these
Speaker:events. And you need that like 20 year knowledge on
Speaker:Wall street to know how to do this. So we've taken all of
Speaker:that knowledge and all that capability and
Speaker:we have put it in the system. So you don't need to
Speaker:have been an expert, you know, for 20 years
Speaker:on wall Street. The system just figures that out
Speaker:for you. We've already done the correlation analysis. The event
Speaker:comes out, you know, it's proven to move share prices. It
Speaker:matters. You could ignore a lot of the noise.
Speaker:All these opinions out there about what's going to be the next
Speaker:Nvidia, that is just a
Speaker:joke, right?
Speaker:Uh, we, we just
Speaker:take a very sensible point of view. This is our philosophy is
Speaker:you cannot predict the future beyond a couple
Speaker:years. Right. So we can kind of see like the effect
Speaker:of some policies maybe a year out, uh, two years out. After
Speaker:that, you don't really know because there's other factors that happen. You've
Speaker:got wars,
Speaker:pandemics, weather events, policy, uh,
Speaker:shifts, you know, shifts in the general
Speaker:population, competition that comes
Speaker:in. So we kind of take this mindset of like, why bother
Speaker:trying to go long term and figure out all these long term
Speaker:winners when there's a million short term
Speaker:opportunities that you can make money
Speaker:off of and then put the money back into a safe
Speaker:place so that, you know, some
Speaker:politician or leader somewhere doesn't just
Speaker:decide that they want to, you know, invade the rest of Europe and the
Speaker:market crashes. You know, there's always some
Speaker:potential black swan event that can wipe everything out.
Speaker:>> Anthony Weaver: Yeah.
Speaker:>> Andrew: And so we look at that and say, you know, if, uh, you have a
Speaker:series of different types of events, they are predictive of
Speaker:the next three months, maybe six months, maybe
Speaker:12 after that. You know, we don't know. But
Speaker:if you can make 50% in 12 months, why would you bother
Speaker:holding something, you know, for, for
Speaker:years, during the period of time
Speaker:when it's already overvalued? And you see that again
Speaker:and again. Like, you know, think of a stock like
Speaker:Zoom.
Speaker:>> Anthony Weaver: Yeah.
Speaker:>> Andrew: Which was like the biggest dog of the pandemic, right?
Speaker:>> Anthony Weaver: Definitely. Yeah.
Speaker:>> Andrew: And it's just been sitting around, you know, think low
Speaker:30s forever. So if you
Speaker:bought and held, you would have
Speaker:wasted 400% gain and be
Speaker:right back to where you entered over a Five year period.
Speaker:Like that's not fun.
Speaker:>> Anthony Weaver: So how. Well, because I was um, thinking
Speaker:about that, a lot of people keep saying as well, you can
Speaker:do dollar cost averaging. For those of you who are
Speaker:not new to this, it's just pretty much you just take that flat
Speaker:fee, just gonna buy whatever the stock is at either on a
Speaker:monthly, yearly, weekly basis, whatever you
Speaker:decide to do. And they just like, all right, well
Speaker:I'm just sit on it.
Speaker:Um, but also from a financial
Speaker:perspective, a lot of the times most of us in this
Speaker:community talk about ETFs and just kind of like, hey, just
Speaker:keep it a low cost etf. What is the
Speaker:benefit of utilizing? Is there a
Speaker:fee to use this annually? Uh, or is it based on
Speaker:how much money you put in there, how the
Speaker:finances work for utilizing such an AI platform like
Speaker:level fields?
Speaker:>> Andrew: Sure. So our starting price is
Speaker:$300 a year. To get
Speaker:in, use the platform if you want like the premier
Speaker:version with all the bells and whistles and unlimited everything and
Speaker:some analyst assisted trades like the one I
Speaker:was mentioning that we sent out, that's
Speaker:167amonth or it's
Speaker:20% discounted if you do annual.
Speaker:Um, so if you look at it like
Speaker:the market rate I think just sitting in cash
Speaker:right now, somewhere between four and four and a quarter percent for a
Speaker:year, a really good dividend
Speaker:stock would probably give, you know, three and a half, four and
Speaker:a half percent yield per year.
Speaker:We're doing those events and then happen in like an
Speaker:hour. M. So you can kind of
Speaker:do repeated events. Let's say you did one a
Speaker:week and you made 3% a week.
Speaker:Conservatively we have a lot of events.
Speaker:Well, that's 12% a
Speaker:month times 12 months and you're up uh,
Speaker:144%. Now that's obviously if everything goes
Speaker:to plan. But even if you, you
Speaker:create some losses along the way,
Speaker:that's still going to be 10 times what you can get just
Speaker:sticking your money in the S and P and
Speaker:leaving it long term. I mean the
Speaker:index investing is good, it's safe. It's
Speaker:easy to do if you're dollar cost
Speaker:averaging and you're doing the indexes. But there
Speaker:are big drawdowns, right? Covid was
Speaker:a 30 drawdown,
Speaker:2022, we had a 25%
Speaker:drawdown. We go back in end
Speaker:of 2018 there was a 20% drawdown.
Speaker:When you look at the financial crisis, that was a
Speaker:50% drawdown in 2008.
Speaker:And then in 2000 it was a 60% drawdown.
Speaker:For you know, the Nasdaq and the S P.
Speaker:And then from 2000 to about
Speaker:2013 there were zero returns for the
Speaker:S P500 zero.
Speaker:Wow. So you would not be making anything unless you did the
Speaker:dollar cost averaging and we're buying the dips along the way. But if you
Speaker:just bought and held like there's no returns.
Speaker:So there's a lot of volatility there. And
Speaker:not everybody has that kind of time frame.
Speaker:>> Anthony Weaver: Yes.
Speaker:>> Andrew: Where you can just wait forever until things come
Speaker:back. Right. Because some of us are old
Speaker:and we don't have that much time. Some of us actually need
Speaker:our money and want to use it, not just kind of watch
Speaker:it come and go like you're looking at the ocean.
Speaker:>> Anthony Weaver: You got that right. Because um, I'm thinking
Speaker:of. For some of us who are like the
Speaker:person that's listening right now is more than
Speaker:likely they have because I focus on the sandwich generation
Speaker:which means like they have a parent or, and, or
Speaker:child at the same time and
Speaker:they looking at their finances like look, I don't have that
Speaker:much to deal with it but I really need to do
Speaker:something with my money and or
Speaker:my parent is actually getting older and I'm about to put them
Speaker:in like a retirement home because I'm tired of them living with
Speaker:me. But m, they want to at least do
Speaker:something with their finances uh, to make this
Speaker:happen. And it seems like the AI
Speaker:tool will also sell and buy for
Speaker:you at the same time.
Speaker:>> Andrew: So we don't do the trading. That's a whole different
Speaker:level of regulation that we just don't want to access,
Speaker:don't want to deal with the sec. So it's think about it
Speaker:like uh, it's an AI
Speaker:search agent with analytics. So if
Speaker:you take like a Google News with a lot
Speaker:more features, more power, more accuracy, no false
Speaker:positives and with numbers you can set up an
Speaker:alert and we have like preset alerts. You can
Speaker:say, I want to know when you know, the
Speaker:CEO of a poor performing company
Speaker:leaves, I'm going to set the financials.
Speaker:Because if you look at that scenario, the
Speaker:market rewards the share price of like finally
Speaker:we got rid of this guy. You know, now we've got
Speaker:hope that there's someone else that can come in and turn it around.
Speaker:Like we saw with the Starbucks situation.
Speaker:So they grabbed the CEO from Chipotle
Speaker:recently. Starbucks stocks up 25%
Speaker:just on hope.
Speaker:>> Anthony Weaver: Wow.
Speaker:>> Andrew: Don't know if it's going to make us get coffee faster
Speaker:yet, but they did wonders for the share
Speaker:price. So you could look for those events and they happen
Speaker:again and again and again. And that's kind of the interesting part is like, you
Speaker:don't need to be an expert in fundamental
Speaker:analysis like Warren Buffett. You just need to
Speaker:know, hey, every time this event happens, this
Speaker:is how the market reacts. And there might be a
Speaker:CEO departure of a poor performing company a
Speaker:hundred times a year. So you look at
Speaker:like 100 events and you can average 5%
Speaker:per event. That's 500 gain. There's a lot
Speaker:of that you can build in where you can say, you know, most of
Speaker:my money I want to do this is what our users often do. They'll
Speaker:say, I've got 80% of my money, long
Speaker:term, not going to touch it. You know, whether it's in a
Speaker:529 or 401k right
Speaker:in the indexes. But
Speaker:I would like to get some higher returns and
Speaker:have some kind of walking around extra money. So they take
Speaker:10%, 20% and they devote it to event driven
Speaker:investing and they look for higher
Speaker:returns and you know,
Speaker:sometimes it's just steady 3%,
Speaker:4%, 5% moves. Um, but in there
Speaker:there's always, you know, at least once a
Speaker:month, several events that are
Speaker:50, 100. There was one that was 600
Speaker:in a day.
Speaker:>> Anthony Weaver: Nice.
Speaker:>> Andrew: And you know, you capture one of those, like you've just
Speaker:done your return for five years, six years,
Speaker:and you could do it in a 24 hour period.
Speaker:So we're not saying that that's every event. There's
Speaker:definitely like a distribution curve, but
Speaker:it makes it a lot easier. And you can not
Speaker:necessarily be an expert at the market and do this,
Speaker:be like, oh, I get it, you know, like Jeff
Speaker:Bezos leaves Amazon. Amazon stock's not going to go
Speaker:up.
Speaker:>> Anthony Weaver: Yeah, that's true. Because everybody.
Speaker:>> Andrew: Yeah, you know, so like if you hear about it and can move
Speaker:on it, like, and then our analytics will show
Speaker:it doesn't only go down, it goes down for
Speaker:about a month and then it starts to turn around after
Speaker:10 dip. So what do you do? You could
Speaker:short the stock or you could just wait for the dip, buy the dip, and
Speaker:it comes up 10% and then you still own Amazon,
Speaker:but you bought it at a cheaper price. So
Speaker:those are simple kind of strategies that people play
Speaker:off. Um, if you're into stock options, you
Speaker:know, you can pretty much multiply the
Speaker:numbers, I said by 10, um,
Speaker:you know, because they have greater
Speaker:gains. Um, but we try to make it really easy. And
Speaker:even somebody who just wants to do like basic Research on a
Speaker:stock we cut down a lot of the time, right. So you go
Speaker:in and you're looking at your, maybe your Apple
Speaker:stock and you're like, why the hell is it down?
Speaker:>> Anthony Weaver: Right, that's one of the things I was going to ask next. Yeah, yeah,
Speaker:it's like, is it more like a research tool to kind
Speaker:of help out, um, what's the current
Speaker:portfolio that you have right now? So you was like,
Speaker:hey, I'm looking at this long term
Speaker:or even shortterm, like say like next week, will
Speaker:this go down? M. Is it a good time to buy or a good time to
Speaker:sell?
Speaker:>> Andrew: Yeah. And you can, I mean the way it will work
Speaker:is you subscribe, you can either
Speaker:track a stock, you can track a watch list, or you can just track an event
Speaker:type. Mhm. So you can say, you know what, every
Speaker:time this event happens, just let me know, I don't care what the stock
Speaker:is. Or you could also set it say, you know what,
Speaker:anytime that um, you know, large
Speaker:cap tech stock is doing this type of thing, a
Speaker:product launch, let me know. And then we have
Speaker:kind of a analytics that will show like the win rate, the
Speaker:average price, move over a day, 10 days a
Speaker:month. And so it's like a weather report,
Speaker:right? You're looking at, you're like, oh, there's an 80% chance of
Speaker:rain. It's supposed to rain for five hours.
Speaker:I get it. I need an umbrella, pair of boots
Speaker:and you know, whatever hats for the kids. You could kind of
Speaker:do the same thing with the stock market, like.
Speaker:>> Anthony Weaver: M. I like that the way how almost
Speaker:like a, um, like you said, a weather ticker. And that would be
Speaker:good to have like on the display and running, um, almost
Speaker:like 24 hours almost. Instead of watching the Bloomberg
Speaker:and all of them showing their little ticker, you can
Speaker:look at your own and create your own list.
Speaker:>> Andrew: Yeah, exactly. And then, you know, if you, if you only want to
Speaker:get alerted at a certain time of day, you can do that. Like,
Speaker:don't bother me the rest of the day. I just send it to me at 9 o'clock in the
Speaker:morning. I mean there's a lot of flexibility.
Speaker:So we, we're trying to cut down the time and the hassle
Speaker:and allow people access to more of the
Speaker:market. Because we feel that there's a
Speaker:huge media bias towards the big
Speaker:companies because it creates
Speaker:interest, it creates clicks. The clicks drive advertising
Speaker:revenue. That's what the publishers actually care
Speaker:about.
Speaker:>> Anthony Weaver: Mhm.
Speaker:>> Andrew: So that's why Elon Musk is in the news every Day it
Speaker:drives clicks and eyeballs. You know, even if it's
Speaker:a private company like Twitter, they keep talking about.
Speaker:>> Anthony Weaver: It and people buy
Speaker:into it.
Speaker:>> Andrew: Yeah, people buy into it, but you miss out on all the other stuff
Speaker:until, and this is important too, like until you
Speaker:see a stock that's up, you know, 300% and then
Speaker:it makes the news finally. And, and you're like, how, uh, is this
Speaker:helpful? It's already up. Like I'm gonna buy it here,
Speaker:up 300. Like, tell me when it's starting to
Speaker:make that move. And that's where the other
Speaker:aspect, the level fields is really focused on.
Speaker:Well, what are the events that cause those big moves over
Speaker:time? Like what's that catalyst that starts that
Speaker:process? Like how, how we find those like
Speaker:breadcrumb trails that are left by the
Speaker:leadership to then figure out, okay, I
Speaker:see what's going on here. Like they're actually swimming
Speaker:in cash, which is why they're giving away all their money.
Speaker:And if I get them at that
Speaker:point and I hang on for, you know, a year
Speaker:ride, then you can ride out that longer,
Speaker:uh, share price increase and make a lot more money.
Speaker:So yeah, it's taken
Speaker:out risk, it's taken out time instead of
Speaker:maximizing returns.
Speaker:>> Anthony Weaver: Um, and it's also the sound like it's easing.
Speaker:He was easing up, uh, the thought
Speaker:process and getting out of your feelings in this
Speaker:process.
Speaker:>> Andrew: That's right. We, we don't want feelings, we want
Speaker:data. We got enough feelings in this world on
Speaker:politics. We'll keep the feelings aside,
Speaker:make data driven decisions. And then, you know,
Speaker:and everyone's been there, right? Like you're sitting there and you're reading a
Speaker:headline, you're like, oh, uh, crap, I gotta get rid of this thing. Is this
Speaker:gonna be bad? This sounds bad. Know
Speaker:there was an interesting research report
Speaker:that came out that said,
Speaker:um, news
Speaker:outlets that have more negative
Speaker:coverage perform better
Speaker:financially than news outlets that have more
Speaker:positive coverage.
Speaker:>> Anthony Weaver: That's crazy.
Speaker:>> Andrew: And it was like an analysis of why. Right, because
Speaker:human nature is, we're inclined to focus
Speaker:on things that could harm us as
Speaker:animals are roaming around the planet, you know,
Speaker:once. And uh, now we're
Speaker:all driving our cars and then the cars are driving us.
Speaker:We're kind of eliminating that need to
Speaker:be worried about a lion jumping out and eating us.
Speaker:But that part of our brain is still very much there to
Speaker:focus on the negative information and then kind of hyper
Speaker:react to it.
Speaker:>> Anthony Weaver: That makes sense.
Speaker:>> Andrew: We try to take that away by saying, hey, don't worry, you
Speaker:know, this Is just the mean reversion. There's a
Speaker:correction normally 30 days away, so
Speaker:might be bad today, but if you look at the numbers.
Speaker:Sun's coming out.
Speaker:>> Anthony Weaver: Yeah, we gotta make it happen.
Speaker:Um, so, um, I'm
Speaker:gonna take a quick pause here. Is it okay we continue
Speaker:on or you got a cut off?
Speaker:>> Andrew: Um, okay, yeah, I blocked it until three.
Speaker:>> Anthony Weaver: Okay, perfect. I'm gonna try to wrap it up in 15. Is that
Speaker:okay?
Speaker:>> Andrew: Yeah, yeah, that's fine. Cool.
Speaker:>> Anthony Weaver: All right. All right. So we
Speaker:wanted to know, um, because now that
Speaker:you've had this tool out here for a while, why did
Speaker:you even create this tool in the first place? Was it something that, like a passion
Speaker:project? Did you do it with a team? Um, did
Speaker:your mom tell you, like, hey, I need to get better with my
Speaker:finances?
Speaker:>> Andrew: It's kind of all the above, actually, to
Speaker:start with. The fact that, like, as an entrepreneur,
Speaker:I am pathologically
Speaker:optimistic that we can build
Speaker:stuff to help other people. So, you
Speaker:know, we could build stuff to help big
Speaker:companies get bigger. But that's not.
Speaker:Doesn't really get me out of bed in the morning. Um,
Speaker:so we wanted to solve a problem that we knew was in the market
Speaker:that was going to help people and have a mission
Speaker:driven organization. The backstory,
Speaker:there's like a long and a short version. Um,
Speaker:I give the short version which was we had a
Speaker:company prior to this for 10
Speaker:years and it did a lot of like
Speaker:online data mine data mining and analysis
Speaker:also around events. Uh, it was sort
Speaker:of reputational damage assessments
Speaker:for publicly traded companies
Speaker:where something would happen and then our system would
Speaker:identify what that something was like. For
Speaker:instance, we had, um, a rail company as a
Speaker:client and they were always, not always 20 or
Speaker:30 times a year, the train would derail,
Speaker:crash. Sometimes it was okay, sometimes it was
Speaker:horrible chemical spills or oil spills.
Speaker:But the company was so large that they
Speaker:usually wouldn't even know about it until, like the CEO
Speaker:would turn on CNN and they would see the train, like,
Speaker:burning. So usually before
Speaker:that there was somebody in their backyard taking a picture, putting it on
Speaker:Twitter. We would be able to grip that picture, flag
Speaker:it, send it over. And so we were always doing like real time kind of
Speaker:event analysis. But we started to see all these patterns,
Speaker:right? So company would have an event, move the
Speaker:share price positively or negatively.
Speaker:We ended up selling that company in 2019,
Speaker:and the tech group and I, the kind of core product team, like
Speaker:regrouped and thought about, you know, what was
Speaker:difficult about that business, right? What went right, what
Speaker:went Wrong. Could we have done better?
Speaker:And we decided we were going to build AI
Speaker:to kind of autopopulate a lot of the data
Speaker:sets that the traditional Boolean search just
Speaker:couldn't do because all the false positives, as
Speaker:you see, um, we weren't really sure what the
Speaker:target market was going to be. But we always kind of
Speaker:had this idea of like, maybe we're on the wrong side
Speaker:of this because, you know, these companies that we were helping and we
Speaker:felt good because they had employees and employees were people and
Speaker:they get to keep their jobs. But I was like,
Speaker:well, the company just saved a billion dollars. We got
Speaker:our annual contract. Maybe we should be, you know,
Speaker:on the investing side of this. And then
Speaker:as we're trying to figure out, like, what
Speaker:problem specifically we were going to solve,
Speaker:Covid happened, which was
Speaker:a huge event.
Speaker:>> Anthony Weaver: Yeah.
Speaker:>> Andrew: And it changed the market
Speaker:and started getting phone calls from
Speaker:parents and cousins and brothers
Speaker:were concerned that this was the start of a global
Speaker:depression. They wouldn't have money
Speaker:for their kids college savings. They wouldn't have money
Speaker:for retirement. This was going to wipe everybody out.
Speaker:And I have an unusual background of sort of
Speaker:starting my career as an epidemiologist, working in public
Speaker:health consulting for the CDC and then
Speaker:moving into event driven data
Speaker:analysis, uh, with a lot of like,
Speaker:market insight. I had just sold
Speaker:my company, so I also didn't have a day job,
Speaker:so I could spend 80 hours researching like
Speaker:every pandemic in the history of America.
Speaker:How did it impact stocks and what
Speaker:sectors were most affected and what was the government response? And I
Speaker:made this massive analysis and figured out
Speaker:market's gonna be right back to where it was before in six months.
Speaker:We're gonna have a vaccine out in 12.
Speaker:Told people that I thought it was nuts. Um, but
Speaker:ultimately that's what happened. And it was just
Speaker:not me being that particularly bright about it. I was just
Speaker:looking back at what had happened in the past and saying, no,
Speaker:like, they're gonna roll out the vaccine. They're gonna use some version of
Speaker:one that they had and they're gonna close down
Speaker:the schools just like they did during Zika in Miami.
Speaker:And the cruise ships are going to get killed, the airlines are going to get
Speaker:killed, hotels are going to get killed. Tech's going to do
Speaker:well, you know, and started it start. All
Speaker:started to sink in, like, hey,
Speaker:what just really happened was there was an event that
Speaker:came. No one knew how to react to
Speaker:it. And yet there's this treasure trove of historical
Speaker:information that we could have accessed had
Speaker:there been a Solution to access that which
Speaker:didn't exist. So that was the Aha.
Speaker:Uh-huh. Okay. It's events, it's past
Speaker:movements and how they could be used to predict future
Speaker:movements of prices. And it's to
Speaker:protect an individual who doesn't have the expertise to
Speaker:go do that kind of research or simply just doesn't
Speaker:have time and would normally be
Speaker:forced to wait two weeks until Goldman
Speaker:Sachs has bought all their positions and then released
Speaker:their know what stocks to buy for Covid list so
Speaker:that you can bump up the share price of everything they already bought.
Speaker:You know, just a theory. I don't know if that actually happens.
Speaker:Just a theory to clear the
Speaker:air. Um, but yeah, I mean that's kind of
Speaker:a typical play. Right? Would be a smart move.
Speaker:So we wanted that to solve the problem. But then we
Speaker:realized like, well, you know, the black swan events are good,
Speaker:but like what really happens on a daily basis are these corporate
Speaker:announcements. That's where the steady flow of news is.
Speaker:Um, those are like, you know, death by a thousand paper
Speaker:cuts instead of just the big event that happens
Speaker:every four years. So we wanted to make that
Speaker:and we did. It was hard. Um, there
Speaker:was a lot of problems to solve.
Speaker:We had to deal with real time data from the markets. We had to deal with
Speaker:the financial, uh, statements and
Speaker:balance sheets and crunching the right numbers and metrics.
Speaker:We had to map that to all the tickers. We had to eliminate
Speaker:weird false positives like Bluebirds that fly in the
Speaker:sky versus Bluebird Bio, you know,
Speaker:or, or acronyms that are used,
Speaker:um, and short names,
Speaker:you know, Astra versus AstraZeneca versus Astra,
Speaker:the Rocket company. So you
Speaker:know, there was that, there's the price correlation. It was, it was a ton of work.
Speaker:We got it done by kind of launched like a
Speaker:minimum viable product. It was the end
Speaker:of 2022 and then ran a beta test for a
Speaker:year. So by the end of
Speaker:2023 we had a lot of feedback from people
Speaker:saying, this is really cool. I love the alerts.
Speaker:You know, I don't like being on platforms all day. I just kind of want to
Speaker:click a few buttons and then sit back and
Speaker:then I, you know, trade off of that. And so we,
Speaker:we saw at that point,
Speaker:um, there was a really
Speaker:big opportunity and there's a lot of demand.
Speaker:This was coming in the wake of
Speaker:2022, which I think took a lot
Speaker:of new traders that came on during COVID by
Speaker:surprise. If you would just signed up for a
Speaker:Robinhood account for the first time and Thought that the market only went
Speaker:up. They were making so much money
Speaker:as you know, the government's poured $4
Speaker:trillion, uh, of liquidity out there.
Speaker:It's pumping up the stock market and everybody was a stock genius
Speaker:in 2021. And then it starts to sell
Speaker:off in 2022 and people start looking for
Speaker:strategies in 2023 that like, hey, maybe
Speaker:I can't just buy the index if the index is down
Speaker:25%.
Speaker:Uh, and so that got us a lot of, I think,
Speaker:interest in alternative ways
Speaker:to think about investing. We're not the only type,
Speaker:you know, but right. There's fundamental, like if you
Speaker:want to be in a stock forever and you want to analyze
Speaker:their balance sheet and their, you know, debt to
Speaker:equity ratios and what they're paying for interest rates
Speaker:and go look at all that stuff. Great. If you can do
Speaker:that. Most people can't or don't have the time or don't have
Speaker:the expertise. So they've often moved to
Speaker:technical analysis, which,
Speaker:you know, is sometimes useful.
Speaker:Sometimes more like just staring at the sky and making shapes
Speaker:with the clouds up there.
Speaker:Um, you can look at a chart and say, oh, I can see
Speaker:a teacup for me, buy
Speaker:them out. Right. Uh, so we wanted to create
Speaker:a third way to do this which is event driven
Speaker:investing and to make it accessible.
Speaker:Um, and I think we, we've done it. We, obviously there's always
Speaker:more to do. We want to keep improving. We hope people sign
Speaker:up and kind of contribute that way because
Speaker:as they sign up or even, you know, let your friends
Speaker:know about level fields like that allows us to pursue this
Speaker:mission which, you know,
Speaker:admittedly there's, there's not a lot of institutions
Speaker:who are in kind of the investment world
Speaker:and necessarily want to see,
Speaker:democratize access to all
Speaker:stocks. Yeah, it eliminates the edge.
Speaker:>> Anthony Weaver: So I'm thinking of, um, because I had a
Speaker:couple people that come on the show before to talk about
Speaker:ESG investing. For those, as a
Speaker:reminder, it's environmental, uh, social and governance.
Speaker:Um, does it actually track that type of investing? So
Speaker:somebody, somebody that really want to be more
Speaker:environmentally in uh, their stocks or just,
Speaker:it doesn't matter, just like, hey, we only going to
Speaker:do with this particular one.
Speaker:>> Andrew: We haven't added the ESG events.
Speaker:Not necessarily because we don't want to, it's just because we
Speaker:haven't seen the correlations there.
Speaker:>> Anthony Weaver: Gotcha.
Speaker:>> Andrew: So you know, if, if Amazon comes out and they
Speaker:say we're going to get rid of all cardboard in the next 10
Speaker:years, it doesn't actually Move the share price.
Speaker:>> Anthony Weaver: Interesting.
Speaker:>> Andrew: So while it's great,
Speaker:um, it's not really the thesis of the application. So
Speaker:if they. If at some point, if there is
Speaker:a renewable technology company that comes out and says,
Speaker:you know, here's a new product, and that product is
Speaker:exciting because the unit economics
Speaker:are cheaper than oil, that makes the
Speaker:platform.
Speaker:>> Anthony Weaver: You know, that makes sense.
Speaker:>> Andrew: An array solar that comes out with a really cool way to do
Speaker:solar where it doesn't just sit in a field, but it actually
Speaker:tracks the sun throughout the
Speaker:day, you know, as the earth is rotating, so that it's always
Speaker:facing the sun instead of only facing the sun.
Speaker:Sometimes, as is the case, you know, the people that show up
Speaker:to your house trying to sell you residential solar.
Speaker:>> Anthony Weaver: Right.
Speaker:>> Andrew: They're going to nail it to your roof. Right. And like, you have to be
Speaker:facing south. Like my neighbors across the
Speaker:street who face north, like they're sol, they
Speaker:can't get solar because they face the wrong direction.
Speaker:But they're like, oh, you face south, so we can get
Speaker:some solar on your house. Um, so this, you know,
Speaker:cool technologies like that, that,
Speaker:um, there's a wave company that I saw recently come
Speaker:through, just got a. A government contract
Speaker:they have. And that makes the platform.
Speaker:They have a technology of like floating buoys.
Speaker:And as the buoy is rocking, somehow it makes
Speaker:energy.
Speaker:>> Anthony Weaver: Okay.
Speaker:>> Andrew: So they put it in like a rough ocean, you know,
Speaker:I don't know what it's going to be. And it generates power and
Speaker:then they transfer that power somewhere.
Speaker:>> Anthony Weaver: Yeah, I've seen various ones because there's another
Speaker:one that sets one up on. Along the coastline and not
Speaker:yet along the coastline. So as the water hits up against it,
Speaker:it generates power that way. Instead of putting those big
Speaker:boulders that they have just to kind of the
Speaker:wall that they put up.
Speaker:>> Andrew: Yep.
Speaker:>> Anthony Weaver: I was like, oh, uh, that sounds interesting. But does it
Speaker:scale? Like how. And how long does the.
Speaker:Did the technology last?
Speaker:>> Andrew: Right. And those things generally
Speaker:on their own, they're not going to do very well. So he
Speaker:requires the government to say, yeah, you
Speaker:know, we don't do anything from. With the water over there because it's too rough
Speaker:for seas. So let's put. Let's see if we can make some money
Speaker:off of this. You know, they have a lease
Speaker:agreement. Company makes a little money selling power,
Speaker:but, yeah, it's not something that you're gonna see, I think,
Speaker:scale tremendously. Um,
Speaker:geothermal. We see stocks that are doing geothermal,
Speaker:which. That is where I
Speaker:think the, the best source is, because
Speaker:we're all really Just sitting on a ball of lava, wondering how
Speaker:we get warm.
Speaker:Yes, we're looking to the sun like
Speaker:millions of miles away while sitting on a
Speaker:fireball pretty much.
Speaker:>> Anthony Weaver: So that's what you're looking at.
Speaker:>> Andrew: Rack all this dinosaur blood and oil, like, why
Speaker:can't we get down there and just put a rod,
Speaker:you know, into the lava and put some steam out there
Speaker:and then boom, there you go, solve the problem. Iceland is
Speaker:100 that.
Speaker:>> Anthony Weaver: Yeah, they are. Um, and I actually thought that was actually pretty cool that
Speaker:they have that. And I'm surprised nobody else had
Speaker:decide to think like, oh yeah, they doing something great. Let's
Speaker:copy that.
Speaker:>> Andrew: It's, you know, it's being done. They're trying to do
Speaker:it like around Yellowstone, I guess.
Speaker:We haven't quite figured out the drilling technology
Speaker:yet, which is surprising. But so they have to go
Speaker:to places where there's like already access to lava
Speaker:flows. So Hawaii could totally do
Speaker:it. You know, the sort of fire
Speaker:ring area can do it.
Speaker:Um, and there are stocks that are,
Speaker:they're starting to kind of get there. They need the
Speaker:government support early on, otherwise they, they run out of cash
Speaker:quickly because it's expensive. But you know,
Speaker:if you're going to pour money into like these wave technologies
Speaker:versus like accessing something that's
Speaker:already 3,000 degrees. Uh, I don't
Speaker:know. I think, I think, I think the incentive is
Speaker:better longer term to access the molten lava
Speaker:under our feet because.
Speaker:>> Anthony Weaver: Um, um, I know we coming up to
Speaker:the end of the show a little bit here, but we talked about
Speaker:the features a little bit as far as like, you know, the way how
Speaker:you seeing the size going. But what about
Speaker:yourself? Um, are there like any
Speaker:improvements in your life far as from
Speaker:habits that you want to improve. Ah. Or even
Speaker:in your career coming up?
Speaker:>> Andrew: Always, you know, on a daily basis I'm trying to do
Speaker:things better. Efficiency is like a big one for
Speaker:me because got, you know, with a startup
Speaker:there's always more to do than you have
Speaker:staff. M. So then it's like, all right, how do I
Speaker:prioritize? You know, what's the process
Speaker:for prior to doing the prioritization?
Speaker:So that's a constant. You know, how do other people do it?
Speaker:Like, how does a guy like Elon Musk have seven companies
Speaker:and still running this Doge thing? Like, you
Speaker:must have really good ways to manage,
Speaker:you know, time productively.
Speaker:Um, so I'm always looking for that and ways to
Speaker:improve. I can't say I've cracked the
Speaker:master nut there. I got a lot of posters of
Speaker:my work that I have to do on my wall.
Speaker:And I've tried now some
Speaker:strategies. Like, you know, I don't schedule
Speaker:meetings in the mornings because that's my productive time.
Speaker:I can write
Speaker:500 words in 30 minutes in the morning.
Speaker:If I try to do that at 3 o'clock in the afternoon,
Speaker:it's never getting done.
Speaker:>> Anthony Weaver: That makes sense.
Speaker:Um, do you have any kids? Uh, like, wife or anything like that?
Speaker:That's kind of like how you managing your, your family.
Speaker:Household.
Speaker:>> Andrew: Yeah, we have a busy family life and
Speaker:an energetic dog that needs walking a couple times
Speaker:a day and play. And, um, the balance
Speaker:of that is difficult. I've, I've started
Speaker:to get my kids involved and kind of like watching the
Speaker:stock market.
Speaker:>> Anthony Weaver: Good.
Speaker:>> Andrew: So I got them little portfolios. They could understand what I actually
Speaker:do for a living. Um,
Speaker:they're, you know, their mom works for a public company, so bought
Speaker:a little of those shares. They can kind of monitor. And then I
Speaker:can explain, like, yeah, here's, here's what mom does, like
Speaker:when she does a good job. Here's what the stock does. And
Speaker:know.
Speaker:>> Anthony Weaver: Awesome. Because I'm thinking a tool
Speaker:would be great for parents to get their
Speaker:kids to say, like, hey, you know what? Pick, uh, a
Speaker:stock. Let's see what's happening. What are the news behind
Speaker:it? What are the triggers that's going on? And so now, like, you
Speaker:can actually watch it from a global scale happening in real
Speaker:time.
Speaker:>> Andrew: It makes things make sense. Kids,
Speaker:they want, they want obviously to be on screens
Speaker:at all times. So I show them the platform.
Speaker:I'm like, here's what happened today. Here's the event.
Speaker:Um, you know, this CEO left.
Speaker:Like, do you think that's good news or bad news? And they would say, that
Speaker:sounds like bad news. I'm like, all right, so here's what the share price did, and it
Speaker:goes down. And they see this, like, bear, uh,
Speaker:indicator. It's like an angry.
Speaker:>> Anthony Weaver: Oh, that's cool.
Speaker:>> Andrew: And they're like, I love their angry bear.
Speaker:Um, and they get it. They're like, okay. So that makes it go
Speaker:down. This makes it go up. This makes total sense. And they're going through it. I'm like,
Speaker:now why? You know, for another event
Speaker:and say, why do you think this happened? And
Speaker:trying to explain, like, the interconnections in the economy.
Speaker:But we'll look at things that they see on a regular
Speaker:basis. So, like, I drive a GM car. So we looked at
Speaker:GM stock. We love Teslas. We look at
Speaker:Tesla stock and like, the Product launches and how they
Speaker:did and Tesla product
Speaker:launches is one of our events that we track. But it's like
Speaker:50, 50, 50 times or 50% of the
Speaker:time, stock goes up, 50% of the time goes down.
Speaker:And then they can see that. They're like, well, what happened when,
Speaker:you know, they launched the Cyber Truck? Let me see,
Speaker:let me see. When they lost. And I'm like, oh, why did it do so
Speaker:badly? I love the Cyber Truck. I'm like,
Speaker:well, you want to watch the video? I'll show you the
Speaker:video. This was
Speaker:supposed to be the bulletproof glass that the thing went through.
Speaker:So, you know, you mix it up and then like, it makes
Speaker:sense of the world for them. Um, so we
Speaker:find. They actually find. Now
Speaker:lately we're getting a lot of women that sign up
Speaker:for, for the app. Um,
Speaker:and you know, we've kind of done the research during the beta
Speaker:test, we knew why, which is like they like to know what happens
Speaker:next. You know, they like to be able to plan it out and kind
Speaker:of see the why and see what's about to happen.
Speaker:Um, whereas, you know, it's. It's
Speaker:slightly different, I would say, than like male traders who are like
Speaker:just short win.
Speaker:>> Anthony Weaver: Right.
Speaker:>> Andrew: You know, I don't care why it'll just
Speaker:as long as it works.
Speaker:>> Anthony Weaver: It's making me money today. Okay.
Speaker:>> Andrew: Yeah, exactly.
Speaker:>> Anthony Weaver: Because I noticed that even when I looked at my analytics, I have more women
Speaker:watching the show since I would say August of
Speaker:last year. It's almost like a, uh, I
Speaker:would say almost like a 74 for women
Speaker:watching this show since last. That's good by some
Speaker:of it. So. Oh,
Speaker:amongst the ladies, it's usually the.
Speaker:>> Andrew: Test like, you know, because the stocks that I see that do well, like
Speaker:especially on the retail side, more, more women
Speaker:behind it than guys like a
Speaker:Lululemon kind of stock or you know, other retail
Speaker:outlets that, that really know how to put the
Speaker:deals out there better and
Speaker:merchandise better.
Speaker:>> Anthony Weaver: I like that.
Speaker:Um, so before we get to the final four questions, is there
Speaker:anything that you want to leave the audience with?
Speaker:>> Andrew: I would tell you how to access Level Fields,
Speaker:if that's useful. You go to level Fields, AI
Speaker:Um, you can sign up for free newsletter
Speaker:and get an idea what we do. We have
Speaker:YouTube channel that also gives away some. Some free ideas.
Speaker:You kind of get a flavor of it. Part of the
Speaker:offering that we have is to do it yourself, which is like the
Speaker:$300 a year version which we should
Speaker:make back in one trade. And then we have the. We'll help
Speaker:you we kind of send out uh, a couple trades a
Speaker:week and then you know, it's turned out to be a pretty good
Speaker:educational resource because it's showing the
Speaker:why behind the, the idea. So
Speaker:people really like that, that level two now, it's growing pretty
Speaker:rapidly. Um, so if you don't feel like you have the
Speaker:time to do it yourself, we can certainly help you with that.
Speaker:And if none of this sounds interesting, you know, please refer to
Speaker:you, write it down and tell your friends it's
Speaker:guarantee some of you know it's going to want this if you're you
Speaker:know, exercising or doing the laundry,
Speaker:just uh, jot down level fields AI and please let
Speaker:other people know.
Speaker:>> Anthony Weaver: Nice. And um, remember, have the kid
Speaker:mentality, you know.
Speaker:>> Andrew: Yes.
Speaker:>> Anthony Weaver: Like what's happening.
Speaker:>> Andrew: Right, Exactly. Let's enjoy the
Speaker:interconnectedness of the butterfly effect.
Speaker:>> Anthony Weaver: Ready for the final four?
Speaker:>> Andrew: Sure.
Speaker:>> Anthony Weaver: Alrighty.
Speaker:Number one, what does wealth mean to you?
Speaker:>> Andrew: Time. Well this time to
Speaker:me you can, you don't necessarily need money
Speaker:to have it, um, but it gives
Speaker:you the time to enjoy things.
Speaker:>> Anthony Weaver: I like that. Number two,
Speaker:what was your worst money mistake?
Speaker:>> Andrew: I was about to liquidate my
Speaker:entire portfolio in 2007 and buy
Speaker:only Apple stock with it.
Speaker:And I did not.
Speaker:And I still to this day. And I loaded up
Speaker:the ticket and I was going to just going to put everything
Speaker:I had into Apple stock. And I had all this
Speaker:like previous bad advice in my head
Speaker:like, oh, technology always changes. You never know what's going to
Speaker:happen. Don't put all your eggs in one basket. Diversify
Speaker:all that. And I didn't do it. And not only did
Speaker:I not do it, I didn't buy a single share. And I
Speaker:don't know why, looking back, I think I was so ashamed of
Speaker:like just getting scared of
Speaker:doing that move. So that ended
Speaker:up losing many
Speaker:millions of dollars. Not losing, but
Speaker:not gaining like access to it. So
Speaker:I, I was teaching my, my son some math the other
Speaker:day and I made him run the numbers.
Speaker:Nice. How much that would have been today. And
Speaker:he was like, dad should have totally done that.
Speaker:We could have had like such a better house.
Speaker:>> Anthony Weaver: It's always about the house, right?
Speaker:>> Andrew: Yeah.
Speaker:>> Anthony Weaver: This is better. Yeah.
Speaker:>> Andrew: I could have had a quad and you couldn't have a cybertruck.
Speaker:Like, well, you know, there's risk and reward.
Speaker:>> Anthony Weaver: Yeah. The video. Take
Speaker:it. Shooting your shot, right?
Speaker:>> Andrew: Yeah, that one hurt.
Speaker:>> Anthony Weaver: Number, uh, three. Is there a book that inspired
Speaker:your journey or change your perspective?
Speaker:>> Andrew: Yes. Although I don't think it's maybe what
Speaker:you mean by it. So Jurassic Park.
Speaker:>> Anthony Weaver: Interesting.
Speaker:>> Andrew: Um, not so much because I wanted to dig up
Speaker:dinosaurs, but the. The author,
Speaker:he wrote Jurassic park after dropping
Speaker:out of Harvard Medical School. Michael
Speaker:Crichton. So he's in his third year of. Of
Speaker:Harvard Medical School, which
Speaker:fairly difficult to get into. Um,
Speaker:pretty much set for life, you know, to be able
Speaker:to graduate from there, go on, be a doctor,
Speaker:have a, um, pretty stable
Speaker:income. Right. What most people
Speaker:aspire to.
Speaker:>> Anthony Weaver: Yeah.
Speaker:>> Andrew: And he gave that up on the risk that this
Speaker:idea for Jurassic park would be a huge hit.
Speaker:Of course it was. He was right. But
Speaker:being able to look at that and walking
Speaker:away from something that's a success, to go for something
Speaker:that's an unknown, really inspired me. I was
Speaker:like, okay, I can do this too.
Speaker:>> Anthony Weaver: Nice. Did you walk away from like.
Speaker:>> Andrew: Well, you know, it was a guy who's gonna go to law school and be
Speaker:a lawyer, and, you know, at one point was doing
Speaker:environmental management type of work.
Speaker:That was a safe choice.
Speaker:>> Anthony Weaver: Yeah.
Speaker:>> Andrew: Um, but it's like, you know what? That's
Speaker:just not for me. I want to do something bigger. I like to
Speaker:build. It took. It took many years to realize
Speaker:that, you know, who
Speaker:I was is a core person. It's like, I'm a
Speaker:builder. I like to make stuff. If, um, I'm not
Speaker:making things, then I'm probably making my wife
Speaker:miserable.
Speaker:>> Anthony Weaver: Sounds like a fun time at home that day.
Speaker:>> Andrew: Projects.
Speaker:>> Anthony Weaver: Uh, number four, what is your
Speaker:favorite dish to make?
Speaker:>> Andrew: Dish? Um,
Speaker:chocolate banana pancakes.
Speaker:>> Anthony Weaver: Okay. See a picture of those.
Speaker:>> Andrew: Well, they're good. Uh, I've gotten very good at them.
Speaker:My kids love them, so every. I try to make them every
Speaker:Saturday morning.
Speaker:>> Anthony Weaver: There you go. Um, and the
Speaker:very last question of the show, which is, where could people find out more
Speaker:about you, more about me?
Speaker:>> Andrew: Uh, um, if you want to
Speaker:know,
Speaker:you can certainly Google my name.
Speaker:Andrew Einhorn. There's, um. There's another one who
Speaker:takes dirty photos. That's not me. Um, but the
Speaker:one that does podcasts, that's me.
Speaker:>> Anthony Weaver: I did notice that when I came across look who you are.
Speaker:>> Andrew: Yeah, I mean, they're good,
Speaker:but no, that's not me.
Speaker:>> Anthony Weaver: Okay.
Speaker:>> Andrew: We have different hair. He's curly hair. I mean, straight.
Speaker:>> Anthony Weaver: Got it. Well, thank you so much
Speaker:for coming through. This, uh, was such a
Speaker:fun time having you on and got a chance to learn a
Speaker:lot about AI, a lot about what we can do with
Speaker:it, and also how we can
Speaker:actually utilize it in our futures. I really think
Speaker:that, um, what you have is
Speaker:almost like an episode of Black Mirror on the level
Speaker:of insight that it can possibly
Speaker:provide. I can't wait to see it on one of those episodes.
Speaker:So thank you for, ah, sharing that with
Speaker:us.
Speaker:>> Andrew: We haven't taken the creepy turn yet to be back.
Speaker:I'll let you know if we do.
Speaker:>> Anthony Weaver: Okay, thank you.
Speaker:>> Andrew: Appreciate it. Thanks for having me on.
Speaker:>> Anthony Weaver: All right, everybody, we out. Be
Speaker:safe.
Speaker:>> Andrew: Peace.
