February 25, 2025 • 52 mins
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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DISCLAIMER: The content in this audio is for educational purposes only. Conduct your own research and make the best choice for you. If you need advice, contact a qualified professional.
episode 287
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Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
>> Anthony Weaver (00:00):
This episode is sponsored by
kitcaster.com back.
>> Andrew (00:04):
All this dinosaur blood and oil. Like, why can't
we get down there and just put a rod,
you know, into the lava and put some steam out there?
And then, boom, there you go. Solve the problem. Iceland is
100. That.
>> Anthony Weaver (00:17):
Yeah, they are. Um, and I actually thought that was actually pretty cool that
they have that. And I'm, um, surprised nobody else had
decided to think, like, oh, yeah, they doing something great. Let's
copy that. Yes.
Welcome, everybody back to another exciting show, the about
that Water podcast, where we help the sandwich generation
build strong financial habits so that they can
(00:39):
spend money, talk about money, and even
enjoy their money with confidence. Today I have somebody
who is heavily invested in the AI
spectrum. But remember, AI is just an
umbrella. This is actually helping you to
do better with your investments. And. And
thank you so much for coming on today. How you
doing today, Andrew?
>> Andrew (01:00):
I'm great, thanks. Thanks for having me on. Appreciate it.
>> Anthony Weaver (01:04):
No problem. So
I'm tired of hearing AI. AI does AI
That. Um, but we
all. It's. It's our life right now, and we still trying to
get better with it. And that's the reason. One. One of
the reasons why I really glad that you decided to come on this
show to kind of help us get better without
finances, utilizing AI.
(01:26):
Um, so first off,
what is a good
AI trade right now that you're looking
into?
>> Andrew (01:37):
Oh, when we were doing one actually today, if I
remember, is Big Bear AI, which is an AI
company itself. It's also a stock
bbai. Um, it's in the middle of
a small, short squeeze, so they
had, uh, a number of government contracts that they
secured, which was a bit surprising because I
thought. I thought the government was closed for a little while,
(02:00):
um, with all the cuts they're making. But seems
like they're still issuing new contracts, and they got a couple
big ones. And so those who are betting against the share
price are getting squeezed.
So it started out about $3.80.
Last time I looked at it was at
$9.40 and
climbing. So we sent a notice to our members,
(02:21):
and we did the math. We're like, there's, uh, like,
2.4 million options
contracts that have been sold that expire
in a week at $8. Like, these people are gonna
have to get out of this position. And the only way to do that is
to buy the stock, which forces it
up. So, you know, within, like, three
(02:42):
hours, uh, our members made 50%.
Today I did, too. So that was fun.
>> Anthony Weaver (02:47):
Nice.
>> Andrew (02:47):
And, um, those are always Good. So it's an
interesting AI company that uh,
they really track foreign news. That's their
specialty. Track and analyze news from foreign
companies and kind of give a summary to the State Department,
CIA agents and, and Defense Department
about all the bad stuff that's being said about
America globally and kind of rising
(03:10):
trends. Uh, so as you can
imagine, given some of the recent
moves with this new
administration, there's some concerns about market
reactions globally, uh, to say the
least.
>> Anthony Weaver (03:24):
Right.
>> Andrew (03:25):
Um, so they might be in the right place at the right time.
You know, chaos is good for business.
And I think the last contract they got was like,
I want to say it's 185 million, but I could be
remembering it might be more than that.
>> Anthony Weaver (03:38):
Jeez. I mean, that's good for them. Good for
business.
>> Andrew (03:42):
Yeah, it's, it's, it's very good for business.
You know, I, I wish them luck. I, uh, haven't
had a chance to really go deep into their technology,
but I did notice, you know, the
stock for a while kind of traded like a meme stock,
you know, for like last six months. Um, it just
traded with a bundle of other ones that were like
(04:02):
highly volatile, like the quantum stocks and
stocks, uh, like upstarts. It was very like, was clearly
algorithmic movements. But now
it's like completely broken out from that. It's on its own and it's
starting to get attention on the Reddit forums
and you know, you got all the moon, moon and
rocket icons coming out.
>> Anthony Weaver (04:22):
Yeah, look out.
>> Andrew (04:23):
Love all the time,
uh, diamond hands and all that kind of stuff. Although, you know,
I was reading reports and the diamond market is like dying
because now they can make them in labs. So some of
the companies like the beers and uh,
Signet, they're like hoarding diamonds just, just, just
to keep demand up.
>> Anthony Weaver (04:43):
Right. But if you think about it, because I, uh, think
somebody was looking into the Rolex, for
instance. The plain Jane. Rolex is
more expensive and more of a timeless
piece. But as soon as you start adding those diamonds into
there, you're chipping away the gold
and to add in the diamond. But the gold is
more of a commodity, so it's constantly fluctuating
(05:06):
dayto day, like midday. I believe it changes what is
changed twice a day. Right. If I'm not mistaken.
>> Andrew (05:12):
Yeah, I mean the, the price is moving at least on my
monitor all the time. Oh,
a bit in ass. So, yeah, it's uh,
it's, it's highly aligned with the
treasury yields right now. So if you watch the
10 year treasury yield, you know, every
time starts to go up.
>> Anthony Weaver (05:32):
So you started, so you started this company called
like Level Fields AI. Like what problems
does this company actually starts to
solve?
>> Andrew (05:42):
So the main challenge
is trying to keep up with information
flow. So if you are a Goldman
Sachs size organization where you can
assign one person to cover 10 stocks and
then you know, have 2,000 people to cover the whole
market and international markets,
good for them. But if you're a
(06:04):
independent investor and you're
trying to monitor 6,000 stocks just on the
US exchanges, all their announcements,
you know, the four earnings releases per year,
the product launches, the CEO
changes, what's going on in the macro environment, what's coming out of
the White House, uh, which is just in
(06:24):
a job in of itself to follow the executive orders
daily. You're drowning in information, you
can't, you can't keep up with it. So what
normally happens is people just kind of grab
10 stocks that they know and that are talked
about the most by the media.
Mag 7, you know, the Teslas and the Googles
and the Microsofts and Nvidias and everybody
(06:47):
crowds the same trades and the media keeps talking
about the same companies. But there's like thousands of
other really great companies out there that you're missing out
on while everyone's pouring into the same
trades. So the idea was
can we kind of level the playing field and
give superpowers to an average investor
by having AI search agents
(07:09):
monitor for not just
news, but news that actually matters,
Right. Company announcements that we have
already correlated to share price
moves. So by the time you hear about it from,
from our system, you know, like this is an event
that's going to change the share price. What you do
with that is up to you. Some people trade on it, some people are just using it
(07:31):
to monitor, you know, their existing holdings. Some
people are just looking for companies they never heard of.
And what starts to happen is you find these
like really interesting gems out there. You know,
companies that uh, they'll announce they're doing a
special dividend of like 8% and all you have to
do is buy the stock and hold it for two days and
(07:51):
you're eligible for an 8% dividend.
>> Anthony Weaver (07:53):
Nice.
>> Andrew (07:54):
You can look at that and say, well why are they doing
it? That's the next question. And you might find
something, some, some strange correlation and that's there,
right? Like a coal company starts to do it. All of a
sudden you might ask what's going on
with coal? And then you look and you see coal prices have like
tripled because the war started in,
(08:14):
uh, in Ukraine by Russia, and Russia cuts
off the gas to Europe and the Europeans start switching to coal away
from gas. Right. So those things have this like,
butterfly effect that the system's able to
identify for you. So you don't think about it.
>> Anthony Weaver (08:28):
That is great. Um, because we were just talking about it like
in the green room, I guess you'd say, is like
how the President is saying certain
things and next thing you know, we don't know what's going to
happen next.
>> Andrew (08:42):
Yeah, yeah, exactly. And you start to see some
of the reactions. Right? So like
oil companies, for example,
they know, right? Deregulation is coming.
They don't know exactly what that looks. Well, maybe they do. I don't know.
They could have had the conversations behind the scenes with Trump, who
knows? But they start to take a little bit of a
(09:02):
more relaxed approach with their cash. So
they're sitting on cash just in case, and then all of a sudden they
realize, oh, in the next four years we're going to get
rid of all these regulations and fines.
We, we can actually take our cash and buy back our
stock. Fewer shares means more
value per share, drives the share price up.
(09:22):
And so you start to see this, this reaction on a daily
basis to like these executive orders that
are coming out seemingly every
few hours. And it's changing the market every
time it drops. I mean, it's like one day
it was like, oh, you know, slap tariffs on Canada
and Mexico. So you see all
(09:43):
the car companies just crater.
And then it was like two hours later, Mexico's
like, we made a deal.
>> Anthony Weaver (09:51):
Yeah, I heard.
>> Andrew (09:51):
Yeah, the auto stocks
popped and you know, we're like, all right, igm,
um, you know, make their stuff in Mexico.
>> Anthony Weaver (10:00):
Um, can you explain a little bit like how
like level fields actually look at the
approach of event driven
investing?
>> Andrew (10:10):
Yeah, so we, we're, we're
effectively doing what large hedge funds
do to make themselves so
successful. M. The difference is we're
democratizing access to it. So if
you're a Bill Amman running Pershing Square,
uh, you know, and he's responsible for. It's
commonly referred to in the industry as the greatest trade of
(10:32):
all time. Which I don't know if
it was the greatest, but it was certainly one of the biggest.
And he was basically shorting
Covid time, shorting the
market during COVID made two and a half billion dollars
inside of a, uh, month of a 20
million dollar or so investment. So they do this
(10:52):
stuff all the time, Right. They're betting on the events and then
There's a reason for it. About 15% of
all their trades are based on events. Like purely
events and other repositioning is often
driven by events. But you need a lot of people to monitor the market,
to figure out what to do and how to act and how to react to these
events. And you need that like 20 year knowledge on
(11:13):
Wall street to know how to do this. So we've taken all of
that knowledge and all that capability and
we have put it in the system. So you don't need to
have been an expert, you know, for 20 years
on wall Street. The system just figures that out
for you. We've already done the correlation analysis. The event
comes out, you know, it's proven to move share prices. It
(11:33):
matters. You could ignore a lot of the noise.
All these opinions out there about what's going to be the next
Nvidia, that is just a
joke, right?
Uh, we, we just
take a very sensible point of view. This is our philosophy is
you cannot predict the future beyond a couple
years. Right. So we can kind of see like the effect
(11:54):
of some policies maybe a year out, uh, two years out. After
that, you don't really know because there's other factors that happen. You've
got wars,
pandemics, weather events, policy, uh,
shifts, you know, shifts in the general
population, competition that comes
in. So we kind of take this mindset of like, why bother
trying to go long term and figure out all these long term
(12:17):
winners when there's a million short term
opportunities that you can make money
off of and then put the money back into a safe
place so that, you know, some
politician or leader somewhere doesn't just
decide that they want to, you know, invade the rest of Europe and the
market crashes. You know, there's always some
potential black swan event that can wipe everything out.
>> Anthony Weaver (12:39):
Yeah.
>> Andrew (12:39):
And so we look at that and say, you know, if, uh, you have a
series of different types of events, they are predictive of
the next three months, maybe six months, maybe
12 after that. You know, we don't know. But
if you can make 50% in 12 months, why would you bother
holding something, you know, for, for
years, during the period of time
when it's already overvalued? And you see that again
(13:02):
and again. Like, you know, think of a stock like
Zoom.
>> Anthony Weaver (13:06):
Yeah.
>> Andrew (13:07):
Which was like the biggest dog of the pandemic, right?
>> Anthony Weaver (13:09):
Definitely. Yeah.
>> Andrew (13:10):
And it's just been sitting around, you know, think low
30s forever. So if you
bought and held, you would have
wasted 400% gain and be
right back to where you entered over a Five year period.
Like that's not fun.
>> Anthony Weaver (13:27):
So how. Well, because I was um, thinking
about that, a lot of people keep saying as well, you can
do dollar cost averaging. For those of you who are
not new to this, it's just pretty much you just take that flat
fee, just gonna buy whatever the stock is at either on a
monthly, yearly, weekly basis, whatever you
decide to do. And they just like, all right, well
(13:47):
I'm just sit on it.
Um, but also from a financial
perspective, a lot of the times most of us in this
community talk about ETFs and just kind of like, hey, just
keep it a low cost etf. What is the
benefit of utilizing? Is there a
fee to use this annually? Uh, or is it based on
how much money you put in there, how the
(14:08):
finances work for utilizing such an AI platform like
level fields?
>> Andrew (14:12):
Sure. So our starting price is
$300 a year. To get
in, use the platform if you want like the premier
version with all the bells and whistles and unlimited everything and
some analyst assisted trades like the one I
was mentioning that we sent out, that's
167amonth or it's
20% discounted if you do annual.
(14:34):
Um, so if you look at it like
the market rate I think just sitting in cash
right now, somewhere between four and four and a quarter percent for a
year, a really good dividend
stock would probably give, you know, three and a half, four and
a half percent yield per year.
We're doing those events and then happen in like an
(14:54):
hour. M. So you can kind of
do repeated events. Let's say you did one a
week and you made 3% a week.
Conservatively we have a lot of events.
Well, that's 12% a
month times 12 months and you're up uh,
144%. Now that's obviously if everything goes
to plan. But even if you, you
(15:15):
create some losses along the way,
that's still going to be 10 times what you can get just
sticking your money in the S and P and
leaving it long term. I mean the
index investing is good, it's safe. It's
easy to do if you're dollar cost
averaging and you're doing the indexes. But there
are big drawdowns, right? Covid was
(15:38):
a 30 drawdown,
2022, we had a 25%
drawdown. We go back in end
of 2018 there was a 20% drawdown.
When you look at the financial crisis, that was a
50% drawdown in 2008.
And then in 2000 it was a 60% drawdown.
(15:58):
For you know, the Nasdaq and the S P.
And then from 2000 to about
2013 there were zero returns for the
S P500 zero.
Wow. So you would not be making anything unless you did the
dollar cost averaging and we're buying the dips along the way. But if you
just bought and held like there's no returns.
So there's a lot of volatility there. And
(16:20):
not everybody has that kind of time frame.
>> Anthony Weaver (16:23):
Yes.
>> Andrew (16:24):
Where you can just wait forever until things come
back. Right. Because some of us are old
and we don't have that much time. Some of us actually need
our money and want to use it, not just kind of watch
it come and go like you're looking at the ocean.
>> Anthony Weaver (16:40):
You got that right. Because um, I'm thinking
of. For some of us who are like the
person that's listening right now is more than
likely they have because I focus on the sandwich generation
which means like they have a parent or, and, or
child at the same time and
they looking at their finances like look, I don't have that
much to deal with it but I really need to do
(17:03):
something with my money and or
my parent is actually getting older and I'm about to put them
in like a retirement home because I'm tired of them living with
me. But m, they want to at least do
something with their finances uh, to make this
happen. And it seems like the AI
tool will also sell and buy for
(17:23):
you at the same time.
>> Andrew (17:25):
So we don't do the trading. That's a whole different
level of regulation that we just don't want to access,
don't want to deal with the sec. So it's think about it
like uh, it's an AI
search agent with analytics. So if
you take like a Google News with a lot
more features, more power, more accuracy, no false
(17:45):
positives and with numbers you can set up an
alert and we have like preset alerts. You can
say, I want to know when you know, the
CEO of a poor performing company
leaves, I'm going to set the financials.
Because if you look at that scenario, the
market rewards the share price of like finally
we got rid of this guy. You know, now we've got
(18:07):
hope that there's someone else that can come in and turn it around.
Like we saw with the Starbucks situation.
So they grabbed the CEO from Chipotle
recently. Starbucks stocks up 25%
just on hope.
>> Anthony Weaver (18:21):
Wow.
>> Andrew (18:21):
Don't know if it's going to make us get coffee faster
yet, but they did wonders for the share
price. So you could look for those events and they happen
again and again and again. And that's kind of the interesting part is like, you
don't need to be an expert in fundamental
analysis like Warren Buffett. You just need to
know, hey, every time this event happens, this
(18:41):
is how the market reacts. And there might be a
CEO departure of a poor performing company a
hundred times a year. So you look at
like 100 events and you can average 5%
per event. That's 500 gain. There's a lot
of that you can build in where you can say, you know, most of
my money I want to do this is what our users often do. They'll
(19:01):
say, I've got 80% of my money, long
term, not going to touch it. You know, whether it's in a
529 or 401k right
in the indexes. But
I would like to get some higher returns and
have some kind of walking around extra money. So they take
10%, 20% and they devote it to event driven
(19:22):
investing and they look for higher
returns and you know,
sometimes it's just steady 3%,
4%, 5% moves. Um, but in there
there's always, you know, at least once a
month, several events that are
50, 100. There was one that was 600
(19:42):
in a day.
>> Anthony Weaver (19:43):
Nice.
>> Andrew (19:44):
And you know, you capture one of those, like you've just
done your return for five years, six years,
and you could do it in a 24 hour period.
So we're not saying that that's every event. There's
definitely like a distribution curve, but
it makes it a lot easier. And you can not
necessarily be an expert at the market and do this,
(20:05):
be like, oh, I get it, you know, like Jeff
Bezos leaves Amazon. Amazon stock's not going to go
up.
>> Anthony Weaver (20:11):
Yeah, that's true. Because everybody.
>> Andrew (20:13):
Yeah, you know, so like if you hear about it and can move
on it, like, and then our analytics will show
it doesn't only go down, it goes down for
about a month and then it starts to turn around after
10 dip. So what do you do? You could
short the stock or you could just wait for the dip, buy the dip, and
it comes up 10% and then you still own Amazon,
(20:34):
but you bought it at a cheaper price. So
those are simple kind of strategies that people play
off. Um, if you're into stock options, you
know, you can pretty much multiply the
numbers, I said by 10, um,
you know, because they have greater
gains. Um, but we try to make it really easy. And
(20:54):
even somebody who just wants to do like basic Research on a
stock we cut down a lot of the time, right. So you go
in and you're looking at your, maybe your Apple
stock and you're like, why the hell is it down?
>> Anthony Weaver (21:05):
Right, that's one of the things I was going to ask next. Yeah, yeah,
it's like, is it more like a research tool to kind
of help out, um, what's the current
portfolio that you have right now? So you was like,
hey, I'm looking at this long term
or even shortterm, like say like next week, will
this go down? M. Is it a good time to buy or a good time to
(21:25):
sell?
>> Andrew (21:26):
Yeah. And you can, I mean the way it will work
is you subscribe, you can either
track a stock, you can track a watch list, or you can just track an event
type. Mhm. So you can say, you know what, every
time this event happens, just let me know, I don't care what the stock
is. Or you could also set it say, you know what,
anytime that um, you know, large
(21:46):
cap tech stock is doing this type of thing, a
product launch, let me know. And then we have
kind of a analytics that will show like the win rate, the
average price, move over a day, 10 days a
month. And so it's like a weather report,
right? You're looking at, you're like, oh, there's an 80% chance of
rain. It's supposed to rain for five hours.
I get it. I need an umbrella, pair of boots
(22:10):
and you know, whatever hats for the kids. You could kind of
do the same thing with the stock market, like.
>> Anthony Weaver (22:15):
M. I like that the way how almost
like a, um, like you said, a weather ticker. And that would be
good to have like on the display and running, um, almost
like 24 hours almost. Instead of watching the Bloomberg
and all of them showing their little ticker, you can
look at your own and create your own list.
>> Andrew (22:33):
Yeah, exactly. And then, you know, if you, if you only want to
get alerted at a certain time of day, you can do that. Like,
don't bother me the rest of the day. I just send it to me at 9 o'clock in the
morning. I mean there's a lot of flexibility.
So we, we're trying to cut down the time and the hassle
and allow people access to more of the
market. Because we feel that there's a
(22:53):
huge media bias towards the big
companies because it creates
interest, it creates clicks. The clicks drive advertising
revenue. That's what the publishers actually care
about.
>> Anthony Weaver (23:05):
Mhm.
>> Andrew (23:05):
So that's why Elon Musk is in the news every Day it
drives clicks and eyeballs. You know, even if it's
a private company like Twitter, they keep talking about.
>> Anthony Weaver (23:13):
It and people buy
into it.
>> Andrew (23:17):
Yeah, people buy into it, but you miss out on all the other stuff
until, and this is important too, like until you
see a stock that's up, you know, 300% and then
it makes the news finally. And, and you're like, how, uh, is this
helpful? It's already up. Like I'm gonna buy it here,
up 300. Like, tell me when it's starting to
make that move. And that's where the other
(23:37):
aspect, the level fields is really focused on.
Well, what are the events that cause those big moves over
time? Like what's that catalyst that starts that
process? Like how, how we find those like
breadcrumb trails that are left by the
leadership to then figure out, okay, I
see what's going on here. Like they're actually swimming
in cash, which is why they're giving away all their money.
(24:00):
And if I get them at that
point and I hang on for, you know, a year
ride, then you can ride out that longer,
uh, share price increase and make a lot more money.
So yeah, it's taken
out risk, it's taken out time instead of
maximizing returns.
>> Anthony Weaver (24:20):
Um, and it's also the sound like it's easing.
He was easing up, uh, the thought
process and getting out of your feelings in this
process.
>> Andrew (24:29):
That's right. We, we don't want feelings, we want
data. We got enough feelings in this world on
politics. We'll keep the feelings aside,
make data driven decisions. And then, you know,
and everyone's been there, right? Like you're sitting there and you're reading a
headline, you're like, oh, uh, crap, I gotta get rid of this thing. Is this
gonna be bad? This sounds bad. Know
there was an interesting research report
(24:52):
that came out that said,
um, news
outlets that have more negative
coverage perform better
financially than news outlets that have more
positive coverage.
>> Anthony Weaver (25:05):
That's crazy.
>> Andrew (25:06):
And it was like an analysis of why. Right, because
human nature is, we're inclined to focus
on things that could harm us as
animals are roaming around the planet, you know,
once. And uh, now we're
all driving our cars and then the cars are driving us.
We're kind of eliminating that need to
be worried about a lion jumping out and eating us.
(25:28):
But that part of our brain is still very much there to
focus on the negative information and then kind of hyper
react to it.
>> Anthony Weaver (25:35):
That makes sense.
>> Andrew (25:36):
We try to take that away by saying, hey, don't worry, you
know, this Is just the mean reversion. There's a
correction normally 30 days away, so
might be bad today, but if you look at the numbers.
Sun's coming out.
>> Anthony Weaver (25:49):
Yeah, we gotta make it happen.
Um, so, um, I'm
gonna take a quick pause here. Is it okay we continue
on or you got a cut off?
>> Andrew (25:59):
Um, okay, yeah, I blocked it until three.
>> Anthony Weaver (26:02):
Okay, perfect. I'm gonna try to wrap it up in 15. Is that
okay?
>> Andrew (26:05):
Yeah, yeah, that's fine. Cool.
>> Anthony Weaver (26:06):
All right. All right. So we
wanted to know, um, because now that
you've had this tool out here for a while, why did
you even create this tool in the first place? Was it something that, like a passion
project? Did you do it with a team? Um, did
your mom tell you, like, hey, I need to get better with my
finances?
>> Andrew (26:25):
It's kind of all the above, actually, to
start with. The fact that, like, as an entrepreneur,
I am pathologically
optimistic that we can build
stuff to help other people. So, you
know, we could build stuff to help big
companies get bigger. But that's not.
Doesn't really get me out of bed in the morning. Um,
(26:48):
so we wanted to solve a problem that we knew was in the market
that was going to help people and have a mission
driven organization. The backstory,
there's like a long and a short version. Um,
I give the short version which was we had a
company prior to this for 10
years and it did a lot of like
online data mine data mining and analysis
(27:11):
also around events. Uh, it was sort
of reputational damage assessments
for publicly traded companies
where something would happen and then our system would
identify what that something was like. For
instance, we had, um, a rail company as a
client and they were always, not always 20 or
30 times a year, the train would derail,
(27:33):
crash. Sometimes it was okay, sometimes it was
horrible chemical spills or oil spills.
But the company was so large that they
usually wouldn't even know about it until, like the CEO
would turn on CNN and they would see the train, like,
burning. So usually before
that there was somebody in their backyard taking a picture, putting it on
Twitter. We would be able to grip that picture, flag
(27:56):
it, send it over. And so we were always doing like real time kind of
event analysis. But we started to see all these patterns,
right? So company would have an event, move the
share price positively or negatively.
We ended up selling that company in 2019,
and the tech group and I, the kind of core product team, like
regrouped and thought about, you know, what was
(28:16):
difficult about that business, right? What went right, what
went Wrong. Could we have done better?
And we decided we were going to build AI
to kind of autopopulate a lot of the data
sets that the traditional Boolean search just
couldn't do because all the false positives, as
you see, um, we weren't really sure what the
target market was going to be. But we always kind of
(28:39):
had this idea of like, maybe we're on the wrong side
of this because, you know, these companies that we were helping and we
felt good because they had employees and employees were people and
they get to keep their jobs. But I was like,
well, the company just saved a billion dollars. We got
our annual contract. Maybe we should be, you know,
on the investing side of this. And then
(29:00):
as we're trying to figure out, like, what
problem specifically we were going to solve,
Covid happened, which was
a huge event.
>> Anthony Weaver (29:09):
Yeah.
>> Andrew (29:10):
And it changed the market
and started getting phone calls from
parents and cousins and brothers
were concerned that this was the start of a global
depression. They wouldn't have money
for their kids college savings. They wouldn't have money
for retirement. This was going to wipe everybody out.
(29:31):
And I have an unusual background of sort of
starting my career as an epidemiologist, working in public
health consulting for the CDC and then
moving into event driven data
analysis, uh, with a lot of like,
market insight. I had just sold
my company, so I also didn't have a day job,
so I could spend 80 hours researching like
(29:54):
every pandemic in the history of America.
How did it impact stocks and what
sectors were most affected and what was the government response? And I
made this massive analysis and figured out
market's gonna be right back to where it was before in six months.
We're gonna have a vaccine out in 12.
Told people that I thought it was nuts. Um, but
ultimately that's what happened. And it was just
(30:16):
not me being that particularly bright about it. I was just
looking back at what had happened in the past and saying, no,
like, they're gonna roll out the vaccine. They're gonna use some version of
one that they had and they're gonna close down
the schools just like they did during Zika in Miami.
And the cruise ships are going to get killed, the airlines are going to get
killed, hotels are going to get killed. Tech's going to do
(30:37):
well, you know, and started it start. All
started to sink in, like, hey,
what just really happened was there was an event that
came. No one knew how to react to
it. And yet there's this treasure trove of historical
information that we could have accessed had
there been a Solution to access that which
didn't exist. So that was the Aha.
(31:00):
Uh-huh. Okay. It's events, it's past
movements and how they could be used to predict future
movements of prices. And it's to
protect an individual who doesn't have the expertise to
go do that kind of research or simply just doesn't
have time and would normally be
forced to wait two weeks until Goldman
(31:20):
Sachs has bought all their positions and then released
their know what stocks to buy for Covid list so
that you can bump up the share price of everything they already bought.
You know, just a theory. I don't know if that actually happens.
Just a theory to clear the
air. Um, but yeah, I mean that's kind of
a typical play. Right? Would be a smart move.
(31:42):
So we wanted that to solve the problem. But then we
realized like, well, you know, the black swan events are good,
but like what really happens on a daily basis are these corporate
announcements. That's where the steady flow of news is.
Um, those are like, you know, death by a thousand paper
cuts instead of just the big event that happens
every four years. So we wanted to make that
(32:02):
and we did. It was hard. Um, there
was a lot of problems to solve.
We had to deal with real time data from the markets. We had to deal with
the financial, uh, statements and
balance sheets and crunching the right numbers and metrics.
We had to map that to all the tickers. We had to eliminate
weird false positives like Bluebirds that fly in the
(32:23):
sky versus Bluebird Bio, you know,
or, or acronyms that are used,
um, and short names,
you know, Astra versus AstraZeneca versus Astra,
the Rocket company. So you
know, there was that, there's the price correlation. It was, it was a ton of work.
We got it done by kind of launched like a
minimum viable product. It was the end
(32:46):
of 2022 and then ran a beta test for a
year. So by the end of
2023 we had a lot of feedback from people
saying, this is really cool. I love the alerts.
You know, I don't like being on platforms all day. I just kind of want to
click a few buttons and then sit back and
then I, you know, trade off of that. And so we,
we saw at that point,
(33:07):
um, there was a really
big opportunity and there's a lot of demand.
This was coming in the wake of
2022, which I think took a lot
of new traders that came on during COVID by
surprise. If you would just signed up for a
Robinhood account for the first time and Thought that the market only went
up. They were making so much money
(33:29):
as you know, the government's poured $4
trillion, uh, of liquidity out there.
It's pumping up the stock market and everybody was a stock genius
in 2021. And then it starts to sell
off in 2022 and people start looking for
strategies in 2023 that like, hey, maybe
I can't just buy the index if the index is down
(33:50):
25%.
Uh, and so that got us a lot of, I think,
interest in alternative ways
to think about investing. We're not the only type,
you know, but right. There's fundamental, like if you
want to be in a stock forever and you want to analyze
their balance sheet and their, you know, debt to
(34:10):
equity ratios and what they're paying for interest rates
and go look at all that stuff. Great. If you can do
that. Most people can't or don't have the time or don't have
the expertise. So they've often moved to
technical analysis, which,
you know, is sometimes useful.
Sometimes more like just staring at the sky and making shapes
(34:31):
with the clouds up there.
Um, you can look at a chart and say, oh, I can see
a teacup for me, buy
them out. Right. Uh, so we wanted to create
a third way to do this which is event driven
investing and to make it accessible.
Um, and I think we, we've done it. We, obviously there's always
more to do. We want to keep improving. We hope people sign
(34:54):
up and kind of contribute that way because
as they sign up or even, you know, let your friends
know about level fields like that allows us to pursue this
mission which, you know,
admittedly there's, there's not a lot of institutions
who are in kind of the investment world
and necessarily want to see,
(35:14):
democratize access to all
stocks. Yeah, it eliminates the edge.
>> Anthony Weaver (35:20):
So I'm thinking of, um, because I had a
couple people that come on the show before to talk about
ESG investing. For those, as a
reminder, it's environmental, uh, social and governance.
Um, does it actually track that type of investing? So
somebody, somebody that really want to be more
environmentally in uh, their stocks or just,
it doesn't matter, just like, hey, we only going to
(35:42):
do with this particular one.
>> Andrew (35:46):
We haven't added the ESG events.
Not necessarily because we don't want to, it's just because we
haven't seen the correlations there.
>> Anthony Weaver (35:54):
Gotcha.
>> Andrew (35:55):
So you know, if, if Amazon comes out and they
say we're going to get rid of all cardboard in the next 10
years, it doesn't actually Move the share price.
>> Anthony Weaver (36:04):
Interesting.
>> Andrew (36:05):
So while it's great,
um, it's not really the thesis of the application. So
if they. If at some point, if there is
a renewable technology company that comes out and says,
you know, here's a new product, and that product is
exciting because the unit economics
are cheaper than oil, that makes the
platform.
>> Anthony Weaver (36:26):
You know, that makes sense.
>> Andrew (36:28):
An array solar that comes out with a really cool way to do
solar where it doesn't just sit in a field, but it actually
tracks the sun throughout the
day, you know, as the earth is rotating, so that it's always
facing the sun instead of only facing the sun.
Sometimes, as is the case, you know, the people that show up
to your house trying to sell you residential solar.
>> Anthony Weaver (36:47):
Right.
>> Andrew (36:48):
They're going to nail it to your roof. Right. And like, you have to be
facing south. Like my neighbors across the
street who face north, like they're sol, they
can't get solar because they face the wrong direction.
But they're like, oh, you face south, so we can get
some solar on your house. Um, so this, you know,
cool technologies like that, that,
(37:08):
um, there's a wave company that I saw recently come
through, just got a. A government contract
they have. And that makes the platform.
They have a technology of like floating buoys.
And as the buoy is rocking, somehow it makes
energy.
>> Anthony Weaver (37:24):
Okay.
>> Andrew (37:25):
So they put it in like a rough ocean, you know,
I don't know what it's going to be. And it generates power and
then they transfer that power somewhere.
>> Anthony Weaver (37:34):
Yeah, I've seen various ones because there's another
one that sets one up on. Along the coastline and not
yet along the coastline. So as the water hits up against it,
it generates power that way. Instead of putting those big
boulders that they have just to kind of the
wall that they put up.
>> Andrew (37:50):
Yep.
>> Anthony Weaver (37:51):
I was like, oh, uh, that sounds interesting. But does it
scale? Like how. And how long does the.
Did the technology last?
>> Andrew (37:59):
Right. And those things generally
on their own, they're not going to do very well. So he
requires the government to say, yeah, you
know, we don't do anything from. With the water over there because it's too rough
for seas. So let's put. Let's see if we can make some money
off of this. You know, they have a lease
agreement. Company makes a little money selling power,
(38:19):
but, yeah, it's not something that you're gonna see, I think,
scale tremendously. Um,
geothermal. We see stocks that are doing geothermal,
which. That is where I
think the, the best source is, because
we're all really Just sitting on a ball of lava, wondering how
we get warm.
Yes, we're looking to the sun like
(38:42):
millions of miles away while sitting on a
fireball pretty much.
>> Anthony Weaver (38:48):
So that's what you're looking at.
>> Andrew (38:50):
Rack all this dinosaur blood and oil, like, why
can't we get down there and just put a rod,
you know, into the lava and put some steam out there
and then boom, there you go, solve the problem. Iceland is
100 that.
>> Anthony Weaver (39:03):
Yeah, they are. Um, and I actually thought that was actually pretty cool that
they have that. And I'm surprised nobody else had
decide to think like, oh yeah, they doing something great. Let's
copy that.
>> Andrew (39:12):
It's, you know, it's being done. They're trying to do
it like around Yellowstone, I guess.
We haven't quite figured out the drilling technology
yet, which is surprising. But so they have to go
to places where there's like already access to lava
flows. So Hawaii could totally do
it. You know, the sort of fire
(39:33):
ring area can do it.
Um, and there are stocks that are,
they're starting to kind of get there. They need the
government support early on, otherwise they, they run out of cash
quickly because it's expensive. But you know,
if you're going to pour money into like these wave technologies
versus like accessing something that's
already 3,000 degrees. Uh, I don't
(39:56):
know. I think, I think, I think the incentive is
better longer term to access the molten lava
under our feet because.
>> Anthony Weaver (40:03):
Um, um, I know we coming up to
the end of the show a little bit here, but we talked about
the features a little bit as far as like, you know, the way how
you seeing the size going. But what about
yourself? Um, are there like any
improvements in your life far as from
habits that you want to improve. Ah. Or even
(40:23):
in your career coming up?
>> Andrew (40:27):
Always, you know, on a daily basis I'm trying to do
things better. Efficiency is like a big one for
me because got, you know, with a startup
there's always more to do than you have
staff. M. So then it's like, all right, how do I
prioritize? You know, what's the process
for prior to doing the prioritization?
(40:47):
So that's a constant. You know, how do other people do it?
Like, how does a guy like Elon Musk have seven companies
and still running this Doge thing? Like, you
must have really good ways to manage,
you know, time productively.
Um, so I'm always looking for that and ways to
improve. I can't say I've cracked the
master nut there. I got a lot of posters of
(41:10):
my work that I have to do on my wall.
And I've tried now some
strategies. Like, you know, I don't schedule
meetings in the mornings because that's my productive time.
I can write
500 words in 30 minutes in the morning.
If I try to do that at 3 o'clock in the afternoon,
(41:31):
it's never getting done.
>> Anthony Weaver (41:34):
That makes sense.
Um, do you have any kids? Uh, like, wife or anything like that?
That's kind of like how you managing your, your family.
Household.
>> Andrew (41:42):
Yeah, we have a busy family life and
an energetic dog that needs walking a couple times
a day and play. And, um, the balance
of that is difficult. I've, I've started
to get my kids involved and kind of like watching the
stock market.
>> Anthony Weaver (41:58):
Good.
>> Andrew (41:58):
So I got them little portfolios. They could understand what I actually
do for a living. Um,
they're, you know, their mom works for a public company, so bought
a little of those shares. They can kind of monitor. And then I
can explain, like, yeah, here's, here's what mom does, like
when she does a good job. Here's what the stock does. And
know.
>> Anthony Weaver (42:17):
Awesome. Because I'm thinking a tool
would be great for parents to get their
kids to say, like, hey, you know what? Pick, uh, a
stock. Let's see what's happening. What are the news behind
it? What are the triggers that's going on? And so now, like, you
can actually watch it from a global scale happening in real
time.
>> Andrew (42:35):
It makes things make sense. Kids,
they want, they want obviously to be on screens
at all times. So I show them the platform.
I'm like, here's what happened today. Here's the event.
Um, you know, this CEO left.
Like, do you think that's good news or bad news? And they would say, that
sounds like bad news. I'm like, all right, so here's what the share price did, and it
(42:56):
goes down. And they see this, like, bear, uh,
indicator. It's like an angry.
>> Anthony Weaver (43:00):
Oh, that's cool.
>> Andrew (43:02):
And they're like, I love their angry bear.
Um, and they get it. They're like, okay. So that makes it go
down. This makes it go up. This makes total sense. And they're going through it. I'm like,
now why? You know, for another event
and say, why do you think this happened? And
trying to explain, like, the interconnections in the economy.
But we'll look at things that they see on a regular
basis. So, like, I drive a GM car. So we looked at
(43:25):
GM stock. We love Teslas. We look at
Tesla stock and like, the Product launches and how they
did and Tesla product
launches is one of our events that we track. But it's like
50, 50, 50 times or 50% of the
time, stock goes up, 50% of the time goes down.
And then they can see that. They're like, well, what happened when,
you know, they launched the Cyber Truck? Let me see,
(43:47):
let me see. When they lost. And I'm like, oh, why did it do so
badly? I love the Cyber Truck. I'm like,
well, you want to watch the video? I'll show you the
video. This was
supposed to be the bulletproof glass that the thing went through.
So, you know, you mix it up and then like, it makes
sense of the world for them. Um, so we
find. They actually find. Now
(44:09):
lately we're getting a lot of women that sign up
for, for the app. Um,
and you know, we've kind of done the research during the beta
test, we knew why, which is like they like to know what happens
next. You know, they like to be able to plan it out and kind
of see the why and see what's about to happen.
Um, whereas, you know, it's. It's
(44:30):
slightly different, I would say, than like male traders who are like
just short win.
>> Anthony Weaver (44:34):
Right.
>> Andrew (44:34):
You know, I don't care why it'll just
as long as it works.
>> Anthony Weaver (44:39):
It's making me money today. Okay.
>> Andrew (44:41):
Yeah, exactly.
>> Anthony Weaver (44:42):
Because I noticed that even when I looked at my analytics, I have more women
watching the show since I would say August of
last year. It's almost like a, uh, I
would say almost like a 74 for women
watching this show since last. That's good by some
of it. So. Oh,
amongst the ladies, it's usually the.
>> Andrew (45:02):
Test like, you know, because the stocks that I see that do well, like
especially on the retail side, more, more women
behind it than guys like a
Lululemon kind of stock or you know, other retail
outlets that, that really know how to put the
deals out there better and
merchandise better.
>> Anthony Weaver (45:20):
I like that.
Um, so before we get to the final four questions, is there
anything that you want to leave the audience with?
>> Andrew (45:27):
I would tell you how to access Level Fields,
if that's useful. You go to level Fields, AI
Um, you can sign up for free newsletter
and get an idea what we do. We have
YouTube channel that also gives away some. Some free ideas.
You kind of get a flavor of it. Part of the
offering that we have is to do it yourself, which is like the
(45:49):
$300 a year version which we should
make back in one trade. And then we have the. We'll help
you we kind of send out uh, a couple trades a
week and then you know, it's turned out to be a pretty good
educational resource because it's showing the
why behind the, the idea. So
people really like that, that level two now, it's growing pretty
(46:09):
rapidly. Um, so if you don't feel like you have the
time to do it yourself, we can certainly help you with that.
And if none of this sounds interesting, you know, please refer to
you, write it down and tell your friends it's
guarantee some of you know it's going to want this if you're you
know, exercising or doing the laundry,
just uh, jot down level fields AI and please let
(46:29):
other people know.
>> Anthony Weaver (46:30):
Nice. And um, remember, have the kid
mentality, you know.
>> Andrew (46:35):
Yes.
>> Anthony Weaver (46:35):
Like what's happening.
>> Andrew (46:36):
Right, Exactly. Let's enjoy the
interconnectedness of the butterfly effect.
>> Anthony Weaver (46:43):
Ready for the final four?
>> Andrew (46:45):
Sure.
>> Anthony Weaver (46:46):
Alrighty.
Number one, what does wealth mean to you?
>> Andrew (46:58):
Time. Well this time to
me you can, you don't necessarily need money
to have it, um, but it gives
you the time to enjoy things.
>> Anthony Weaver (47:09):
I like that. Number two,
what was your worst money mistake?
>> Andrew (47:15):
I was about to liquidate my
entire portfolio in 2007 and buy
only Apple stock with it.
And I did not.
And I still to this day. And I loaded up
the ticket and I was going to just going to put everything
I had into Apple stock. And I had all this
(47:36):
like previous bad advice in my head
like, oh, technology always changes. You never know what's going to
happen. Don't put all your eggs in one basket. Diversify
all that. And I didn't do it. And not only did
I not do it, I didn't buy a single share. And I
don't know why, looking back, I think I was so ashamed of
like just getting scared of
(47:56):
doing that move. So that ended
up losing many
millions of dollars. Not losing, but
not gaining like access to it. So
I, I was teaching my, my son some math the other
day and I made him run the numbers.
Nice. How much that would have been today. And
(48:16):
he was like, dad should have totally done that.
We could have had like such a better house.
>> Anthony Weaver (48:24):
It's always about the house, right?
>> Andrew (48:25):
Yeah.
>> Anthony Weaver (48:26):
This is better. Yeah.
>> Andrew (48:29):
I could have had a quad and you couldn't have a cybertruck.
Like, well, you know, there's risk and reward.
>> Anthony Weaver (48:37):
Yeah. The video. Take
it. Shooting your shot, right?
>> Andrew (48:42):
Yeah, that one hurt.
>> Anthony Weaver (48:45):
Number, uh, three. Is there a book that inspired
your journey or change your perspective?
>> Andrew (48:51):
Yes. Although I don't think it's maybe what
you mean by it. So Jurassic Park.
>> Anthony Weaver (48:57):
Interesting.
>> Andrew (48:58):
Um, not so much because I wanted to dig up
dinosaurs, but the. The author,
he wrote Jurassic park after dropping
out of Harvard Medical School. Michael
Crichton. So he's in his third year of. Of
Harvard Medical School, which
fairly difficult to get into. Um,
(49:19):
pretty much set for life, you know, to be able
to graduate from there, go on, be a doctor,
have a, um, pretty stable
income. Right. What most people
aspire to.
>> Anthony Weaver (49:32):
Yeah.
>> Andrew (49:33):
And he gave that up on the risk that this
idea for Jurassic park would be a huge hit.
Of course it was. He was right. But
being able to look at that and walking
away from something that's a success, to go for something
that's an unknown, really inspired me. I was
like, okay, I can do this too.
>> Anthony Weaver (49:53):
Nice. Did you walk away from like.
>> Andrew (49:56):
Well, you know, it was a guy who's gonna go to law school and be
a lawyer, and, you know, at one point was doing
environmental management type of work.
That was a safe choice.
>> Anthony Weaver (50:06):
Yeah.
>> Andrew (50:07):
Um, but it's like, you know what? That's
just not for me. I want to do something bigger. I like to
build. It took. It took many years to realize
that, you know, who
I was is a core person. It's like, I'm a
builder. I like to make stuff. If, um, I'm not
making things, then I'm probably making my wife
miserable.
>> Anthony Weaver (50:30):
Sounds like a fun time at home that day.
>> Andrew (50:34):
Projects.
>> Anthony Weaver (50:37):
Uh, number four, what is your
favorite dish to make?
>> Andrew (50:42):
Dish? Um,
chocolate banana pancakes.
>> Anthony Weaver (50:49):
Okay. See a picture of those.
>> Andrew (50:52):
Well, they're good. Uh, I've gotten very good at them.
My kids love them, so every. I try to make them every
Saturday morning.
>> Anthony Weaver (50:59):
There you go. Um, and the
very last question of the show, which is, where could people find out more
about you, more about me?
>> Andrew (51:07):
Uh, um, if you want to
know,
you can certainly Google my name.
Andrew Einhorn. There's, um. There's another one who
takes dirty photos. That's not me. Um, but the
one that does podcasts, that's me.
>> Anthony Weaver (51:27):
I did notice that when I came across look who you are.
>> Andrew (51:30):
Yeah, I mean, they're good,
but no, that's not me.
>> Anthony Weaver (51:35):
Okay.
>> Andrew (51:35):
We have different hair. He's curly hair. I mean, straight.
>> Anthony Weaver (51:39):
Got it. Well, thank you so much
for coming through. This, uh, was such a
fun time having you on and got a chance to learn a
lot about AI, a lot about what we can do with
it, and also how we can
actually utilize it in our futures. I really think
that, um, what you have is
almost like an episode of Black Mirror on the level
(52:01):
of insight that it can possibly
provide. I can't wait to see it on one of those episodes.
So thank you for, ah, sharing that with
us.
>> Andrew (52:10):
We haven't taken the creepy turn yet to be back.
I'll let you know if we do.
>> Anthony Weaver (52:14):
Okay, thank you.
>> Andrew (52:16):
Appreciate it. Thanks for having me on.
>> Anthony Weaver (52:19):
All right, everybody, we out. Be
safe.
>> Andrew (52:22):
Peace.
This episode is sponsored by
kitcaster.com back.
>> Andrew (00:04):
All this dinosaur blood and oil. Like, why can't
we get down there and just put a rod,
you know, into the lava and put some steam out there?
And then, boom, there you go. Solve the problem. Iceland is
100. That.
>> Anthony Weaver (00:17):
Yeah, they are. Um, and I actually thought that was actually pretty cool that
they have that. And I'm, um, surprised nobody else had
decided to think, like, oh, yeah, they doing something great. Let's
copy that. Yes.
Welcome, everybody back to another exciting show, the about
that Water podcast, where we help the sandwich generation
build strong financial habits so that they can
(00:39):
spend money, talk about money, and even
enjoy their money with confidence. Today I have somebody
who is heavily invested in the AI
spectrum. But remember, AI is just an
umbrella. This is actually helping you to
do better with your investments. And. And
thank you so much for coming on today. How you
doing today, Andrew?
>> Andrew (01:00):
I'm great, thanks. Thanks for having me on. Appreciate it.
>> Anthony Weaver (01:04):
No problem. So
I'm tired of hearing AI. AI does AI
That. Um, but we
all. It's. It's our life right now, and we still trying to
get better with it. And that's the reason. One. One of
the reasons why I really glad that you decided to come on this
show to kind of help us get better without
finances, utilizing AI.
(01:26):
Um, so first off,
what is a good
AI trade right now that you're looking
into?
>> Andrew (01:37):
Oh, when we were doing one actually today, if I
remember, is Big Bear AI, which is an AI
company itself. It's also a stock
bbai. Um, it's in the middle of
a small, short squeeze, so they
had, uh, a number of government contracts that they
secured, which was a bit surprising because I
thought. I thought the government was closed for a little while,
(02:00):
um, with all the cuts they're making. But seems
like they're still issuing new contracts, and they got a couple
big ones. And so those who are betting against the share
price are getting squeezed.
So it started out about $3.80.
Last time I looked at it was at
$9.40 and
climbing. So we sent a notice to our members,
(02:21):
and we did the math. We're like, there's, uh, like,
2.4 million options
contracts that have been sold that expire
in a week at $8. Like, these people are gonna
have to get out of this position. And the only way to do that is
to buy the stock, which forces it
up. So, you know, within, like, three
(02:42):
hours, uh, our members made 50%.
Today I did, too. So that was fun.
>> Anthony Weaver (02:47):
Nice.
>> Andrew (02:47):
And, um, those are always Good. So it's an
interesting AI company that uh,
they really track foreign news. That's their
specialty. Track and analyze news from foreign
companies and kind of give a summary to the State Department,
CIA agents and, and Defense Department
about all the bad stuff that's being said about
America globally and kind of rising
(03:10):
trends. Uh, so as you can
imagine, given some of the recent
moves with this new
administration, there's some concerns about market
reactions globally, uh, to say the
least.
>> Anthony Weaver (03:24):
Right.
>> Andrew (03:25):
Um, so they might be in the right place at the right time.
You know, chaos is good for business.
And I think the last contract they got was like,
I want to say it's 185 million, but I could be
remembering it might be more than that.
>> Anthony Weaver (03:38):
Jeez. I mean, that's good for them. Good for
business.
>> Andrew (03:42):
Yeah, it's, it's, it's very good for business.
You know, I, I wish them luck. I, uh, haven't
had a chance to really go deep into their technology,
but I did notice, you know, the
stock for a while kind of traded like a meme stock,
you know, for like last six months. Um, it just
traded with a bundle of other ones that were like
(04:02):
highly volatile, like the quantum stocks and
stocks, uh, like upstarts. It was very like, was clearly
algorithmic movements. But now
it's like completely broken out from that. It's on its own and it's
starting to get attention on the Reddit forums
and you know, you got all the moon, moon and
rocket icons coming out.
>> Anthony Weaver (04:22):
Yeah, look out.
>> Andrew (04:23):
Love all the time,
uh, diamond hands and all that kind of stuff. Although, you know,
I was reading reports and the diamond market is like dying
because now they can make them in labs. So some of
the companies like the beers and uh,
Signet, they're like hoarding diamonds just, just, just
to keep demand up.
>> Anthony Weaver (04:43):
Right. But if you think about it, because I, uh, think
somebody was looking into the Rolex, for
instance. The plain Jane. Rolex is
more expensive and more of a timeless
piece. But as soon as you start adding those diamonds into
there, you're chipping away the gold
and to add in the diamond. But the gold is
more of a commodity, so it's constantly fluctuating
(05:06):
dayto day, like midday. I believe it changes what is
changed twice a day. Right. If I'm not mistaken.
>> Andrew (05:12):
Yeah, I mean the, the price is moving at least on my
monitor all the time. Oh,
a bit in ass. So, yeah, it's uh,
it's, it's highly aligned with the
treasury yields right now. So if you watch the
10 year treasury yield, you know, every
time starts to go up.
>> Anthony Weaver (05:32):
So you started, so you started this company called
like Level Fields AI. Like what problems
does this company actually starts to
solve?
>> Andrew (05:42):
So the main challenge
is trying to keep up with information
flow. So if you are a Goldman
Sachs size organization where you can
assign one person to cover 10 stocks and
then you know, have 2,000 people to cover the whole
market and international markets,
good for them. But if you're a
(06:04):
independent investor and you're
trying to monitor 6,000 stocks just on the
US exchanges, all their announcements,
you know, the four earnings releases per year,
the product launches, the CEO
changes, what's going on in the macro environment, what's coming out of
the White House, uh, which is just in
(06:24):
a job in of itself to follow the executive orders
daily. You're drowning in information, you
can't, you can't keep up with it. So what
normally happens is people just kind of grab
10 stocks that they know and that are talked
about the most by the media.
Mag 7, you know, the Teslas and the Googles
and the Microsofts and Nvidias and everybody
(06:47):
crowds the same trades and the media keeps talking
about the same companies. But there's like thousands of
other really great companies out there that you're missing out
on while everyone's pouring into the same
trades. So the idea was
can we kind of level the playing field and
give superpowers to an average investor
by having AI search agents
(07:09):
monitor for not just
news, but news that actually matters,
Right. Company announcements that we have
already correlated to share price
moves. So by the time you hear about it from,
from our system, you know, like this is an event
that's going to change the share price. What you do
with that is up to you. Some people trade on it, some people are just using it
(07:31):
to monitor, you know, their existing holdings. Some
people are just looking for companies they never heard of.
And what starts to happen is you find these
like really interesting gems out there. You know,
companies that uh, they'll announce they're doing a
special dividend of like 8% and all you have to
do is buy the stock and hold it for two days and
(07:51):
you're eligible for an 8% dividend.
>> Anthony Weaver (07:53):
Nice.
>> Andrew (07:54):
You can look at that and say, well why are they doing
it? That's the next question. And you might find
something, some, some strange correlation and that's there,
right? Like a coal company starts to do it. All of a
sudden you might ask what's going on
with coal? And then you look and you see coal prices have like
tripled because the war started in,
(08:14):
uh, in Ukraine by Russia, and Russia cuts
off the gas to Europe and the Europeans start switching to coal away
from gas. Right. So those things have this like,
butterfly effect that the system's able to
identify for you. So you don't think about it.
>> Anthony Weaver (08:28):
That is great. Um, because we were just talking about it like
in the green room, I guess you'd say, is like
how the President is saying certain
things and next thing you know, we don't know what's going to
happen next.
>> Andrew (08:42):
Yeah, yeah, exactly. And you start to see some
of the reactions. Right? So like
oil companies, for example,
they know, right? Deregulation is coming.
They don't know exactly what that looks. Well, maybe they do. I don't know.
They could have had the conversations behind the scenes with Trump, who
knows? But they start to take a little bit of a
(09:02):
more relaxed approach with their cash. So
they're sitting on cash just in case, and then all of a sudden they
realize, oh, in the next four years we're going to get
rid of all these regulations and fines.
We, we can actually take our cash and buy back our
stock. Fewer shares means more
value per share, drives the share price up.
(09:22):
And so you start to see this, this reaction on a daily
basis to like these executive orders that
are coming out seemingly every
few hours. And it's changing the market every
time it drops. I mean, it's like one day
it was like, oh, you know, slap tariffs on Canada
and Mexico. So you see all
(09:43):
the car companies just crater.
And then it was like two hours later, Mexico's
like, we made a deal.
>> Anthony Weaver (09:51):
Yeah, I heard.
>> Andrew (09:51):
Yeah, the auto stocks
popped and you know, we're like, all right, igm,
um, you know, make their stuff in Mexico.
>> Anthony Weaver (10:00):
Um, can you explain a little bit like how
like level fields actually look at the
approach of event driven
investing?
>> Andrew (10:10):
Yeah, so we, we're, we're
effectively doing what large hedge funds
do to make themselves so
successful. M. The difference is we're
democratizing access to it. So if
you're a Bill Amman running Pershing Square,
uh, you know, and he's responsible for. It's
commonly referred to in the industry as the greatest trade of
(10:32):
all time. Which I don't know if
it was the greatest, but it was certainly one of the biggest.
And he was basically shorting
Covid time, shorting the
market during COVID made two and a half billion dollars
inside of a, uh, month of a 20
million dollar or so investment. So they do this
(10:52):
stuff all the time, Right. They're betting on the events and then
There's a reason for it. About 15% of
all their trades are based on events. Like purely
events and other repositioning is often
driven by events. But you need a lot of people to monitor the market,
to figure out what to do and how to act and how to react to these
events. And you need that like 20 year knowledge on
(11:13):
Wall street to know how to do this. So we've taken all of
that knowledge and all that capability and
we have put it in the system. So you don't need to
have been an expert, you know, for 20 years
on wall Street. The system just figures that out
for you. We've already done the correlation analysis. The event
comes out, you know, it's proven to move share prices. It
(11:33):
matters. You could ignore a lot of the noise.
All these opinions out there about what's going to be the next
Nvidia, that is just a
joke, right?
Uh, we, we just
take a very sensible point of view. This is our philosophy is
you cannot predict the future beyond a couple
years. Right. So we can kind of see like the effect
(11:54):
of some policies maybe a year out, uh, two years out. After
that, you don't really know because there's other factors that happen. You've
got wars,
pandemics, weather events, policy, uh,
shifts, you know, shifts in the general
population, competition that comes
in. So we kind of take this mindset of like, why bother
trying to go long term and figure out all these long term
(12:17):
winners when there's a million short term
opportunities that you can make money
off of and then put the money back into a safe
place so that, you know, some
politician or leader somewhere doesn't just
decide that they want to, you know, invade the rest of Europe and the
market crashes. You know, there's always some
potential black swan event that can wipe everything out.
>> Anthony Weaver (12:39):
Yeah.
>> Andrew (12:39):
And so we look at that and say, you know, if, uh, you have a
series of different types of events, they are predictive of
the next three months, maybe six months, maybe
12 after that. You know, we don't know. But
if you can make 50% in 12 months, why would you bother
holding something, you know, for, for
years, during the period of time
when it's already overvalued? And you see that again
(13:02):
and again. Like, you know, think of a stock like
Zoom.
>> Anthony Weaver (13:06):
Yeah.
>> Andrew (13:07):
Which was like the biggest dog of the pandemic, right?
>> Anthony Weaver (13:09):
Definitely. Yeah.
>> Andrew (13:10):
And it's just been sitting around, you know, think low
30s forever. So if you
bought and held, you would have
wasted 400% gain and be
right back to where you entered over a Five year period.
Like that's not fun.
>> Anthony Weaver (13:27):
So how. Well, because I was um, thinking
about that, a lot of people keep saying as well, you can
do dollar cost averaging. For those of you who are
not new to this, it's just pretty much you just take that flat
fee, just gonna buy whatever the stock is at either on a
monthly, yearly, weekly basis, whatever you
decide to do. And they just like, all right, well
(13:47):
I'm just sit on it.
Um, but also from a financial
perspective, a lot of the times most of us in this
community talk about ETFs and just kind of like, hey, just
keep it a low cost etf. What is the
benefit of utilizing? Is there a
fee to use this annually? Uh, or is it based on
how much money you put in there, how the
(14:08):
finances work for utilizing such an AI platform like
level fields?
>> Andrew (14:12):
Sure. So our starting price is
$300 a year. To get
in, use the platform if you want like the premier
version with all the bells and whistles and unlimited everything and
some analyst assisted trades like the one I
was mentioning that we sent out, that's
167amonth or it's
20% discounted if you do annual.
(14:34):
Um, so if you look at it like
the market rate I think just sitting in cash
right now, somewhere between four and four and a quarter percent for a
year, a really good dividend
stock would probably give, you know, three and a half, four and
a half percent yield per year.
We're doing those events and then happen in like an
(14:54):
hour. M. So you can kind of
do repeated events. Let's say you did one a
week and you made 3% a week.
Conservatively we have a lot of events.
Well, that's 12% a
month times 12 months and you're up uh,
144%. Now that's obviously if everything goes
to plan. But even if you, you
(15:15):
create some losses along the way,
that's still going to be 10 times what you can get just
sticking your money in the S and P and
leaving it long term. I mean the
index investing is good, it's safe. It's
easy to do if you're dollar cost
averaging and you're doing the indexes. But there
are big drawdowns, right? Covid was
(15:38):
a 30 drawdown,
2022, we had a 25%
drawdown. We go back in end
of 2018 there was a 20% drawdown.
When you look at the financial crisis, that was a
50% drawdown in 2008.
And then in 2000 it was a 60% drawdown.
(15:58):
For you know, the Nasdaq and the S P.
And then from 2000 to about
2013 there were zero returns for the
S P500 zero.
Wow. So you would not be making anything unless you did the
dollar cost averaging and we're buying the dips along the way. But if you
just bought and held like there's no returns.
So there's a lot of volatility there. And
(16:20):
not everybody has that kind of time frame.
>> Anthony Weaver (16:23):
Yes.
>> Andrew (16:24):
Where you can just wait forever until things come
back. Right. Because some of us are old
and we don't have that much time. Some of us actually need
our money and want to use it, not just kind of watch
it come and go like you're looking at the ocean.
>> Anthony Weaver (16:40):
You got that right. Because um, I'm thinking
of. For some of us who are like the
person that's listening right now is more than
likely they have because I focus on the sandwich generation
which means like they have a parent or, and, or
child at the same time and
they looking at their finances like look, I don't have that
much to deal with it but I really need to do
(17:03):
something with my money and or
my parent is actually getting older and I'm about to put them
in like a retirement home because I'm tired of them living with
me. But m, they want to at least do
something with their finances uh, to make this
happen. And it seems like the AI
tool will also sell and buy for
(17:23):
you at the same time.
>> Andrew (17:25):
So we don't do the trading. That's a whole different
level of regulation that we just don't want to access,
don't want to deal with the sec. So it's think about it
like uh, it's an AI
search agent with analytics. So if
you take like a Google News with a lot
more features, more power, more accuracy, no false
(17:45):
positives and with numbers you can set up an
alert and we have like preset alerts. You can
say, I want to know when you know, the
CEO of a poor performing company
leaves, I'm going to set the financials.
Because if you look at that scenario, the
market rewards the share price of like finally
we got rid of this guy. You know, now we've got
(18:07):
hope that there's someone else that can come in and turn it around.
Like we saw with the Starbucks situation.
So they grabbed the CEO from Chipotle
recently. Starbucks stocks up 25%
just on hope.
>> Anthony Weaver (18:21):
Wow.
>> Andrew (18:21):
Don't know if it's going to make us get coffee faster
yet, but they did wonders for the share
price. So you could look for those events and they happen
again and again and again. And that's kind of the interesting part is like, you
don't need to be an expert in fundamental
analysis like Warren Buffett. You just need to
know, hey, every time this event happens, this
(18:41):
is how the market reacts. And there might be a
CEO departure of a poor performing company a
hundred times a year. So you look at
like 100 events and you can average 5%
per event. That's 500 gain. There's a lot
of that you can build in where you can say, you know, most of
my money I want to do this is what our users often do. They'll
(19:01):
say, I've got 80% of my money, long
term, not going to touch it. You know, whether it's in a
529 or 401k right
in the indexes. But
I would like to get some higher returns and
have some kind of walking around extra money. So they take
10%, 20% and they devote it to event driven
(19:22):
investing and they look for higher
returns and you know,
sometimes it's just steady 3%,
4%, 5% moves. Um, but in there
there's always, you know, at least once a
month, several events that are
50, 100. There was one that was 600
(19:42):
in a day.
>> Anthony Weaver (19:43):
Nice.
>> Andrew (19:44):
And you know, you capture one of those, like you've just
done your return for five years, six years,
and you could do it in a 24 hour period.
So we're not saying that that's every event. There's
definitely like a distribution curve, but
it makes it a lot easier. And you can not
necessarily be an expert at the market and do this,
(20:05):
be like, oh, I get it, you know, like Jeff
Bezos leaves Amazon. Amazon stock's not going to go
up.
>> Anthony Weaver (20:11):
Yeah, that's true. Because everybody.
>> Andrew (20:13):
Yeah, you know, so like if you hear about it and can move
on it, like, and then our analytics will show
it doesn't only go down, it goes down for
about a month and then it starts to turn around after
10 dip. So what do you do? You could
short the stock or you could just wait for the dip, buy the dip, and
it comes up 10% and then you still own Amazon,
(20:34):
but you bought it at a cheaper price. So
those are simple kind of strategies that people play
off. Um, if you're into stock options, you
know, you can pretty much multiply the
numbers, I said by 10, um,
you know, because they have greater
gains. Um, but we try to make it really easy. And
(20:54):
even somebody who just wants to do like basic Research on a
stock we cut down a lot of the time, right. So you go
in and you're looking at your, maybe your Apple
stock and you're like, why the hell is it down?
>> Anthony Weaver (21:05):
Right, that's one of the things I was going to ask next. Yeah, yeah,
it's like, is it more like a research tool to kind
of help out, um, what's the current
portfolio that you have right now? So you was like,
hey, I'm looking at this long term
or even shortterm, like say like next week, will
this go down? M. Is it a good time to buy or a good time to
(21:25):
sell?
>> Andrew (21:26):
Yeah. And you can, I mean the way it will work
is you subscribe, you can either
track a stock, you can track a watch list, or you can just track an event
type. Mhm. So you can say, you know what, every
time this event happens, just let me know, I don't care what the stock
is. Or you could also set it say, you know what,
anytime that um, you know, large
(21:46):
cap tech stock is doing this type of thing, a
product launch, let me know. And then we have
kind of a analytics that will show like the win rate, the
average price, move over a day, 10 days a
month. And so it's like a weather report,
right? You're looking at, you're like, oh, there's an 80% chance of
rain. It's supposed to rain for five hours.
I get it. I need an umbrella, pair of boots
(22:10):
and you know, whatever hats for the kids. You could kind of
do the same thing with the stock market, like.
>> Anthony Weaver (22:15):
M. I like that the way how almost
like a, um, like you said, a weather ticker. And that would be
good to have like on the display and running, um, almost
like 24 hours almost. Instead of watching the Bloomberg
and all of them showing their little ticker, you can
look at your own and create your own list.
>> Andrew (22:33):
Yeah, exactly. And then, you know, if you, if you only want to
get alerted at a certain time of day, you can do that. Like,
don't bother me the rest of the day. I just send it to me at 9 o'clock in the
morning. I mean there's a lot of flexibility.
So we, we're trying to cut down the time and the hassle
and allow people access to more of the
market. Because we feel that there's a
(22:53):
huge media bias towards the big
companies because it creates
interest, it creates clicks. The clicks drive advertising
revenue. That's what the publishers actually care
about.
>> Anthony Weaver (23:05):
Mhm.
>> Andrew (23:05):
So that's why Elon Musk is in the news every Day it
drives clicks and eyeballs. You know, even if it's
a private company like Twitter, they keep talking about.
>> Anthony Weaver (23:13):
It and people buy
into it.
>> Andrew (23:17):
Yeah, people buy into it, but you miss out on all the other stuff
until, and this is important too, like until you
see a stock that's up, you know, 300% and then
it makes the news finally. And, and you're like, how, uh, is this
helpful? It's already up. Like I'm gonna buy it here,
up 300. Like, tell me when it's starting to
make that move. And that's where the other
(23:37):
aspect, the level fields is really focused on.
Well, what are the events that cause those big moves over
time? Like what's that catalyst that starts that
process? Like how, how we find those like
breadcrumb trails that are left by the
leadership to then figure out, okay, I
see what's going on here. Like they're actually swimming
in cash, which is why they're giving away all their money.
(24:00):
And if I get them at that
point and I hang on for, you know, a year
ride, then you can ride out that longer,
uh, share price increase and make a lot more money.
So yeah, it's taken
out risk, it's taken out time instead of
maximizing returns.
>> Anthony Weaver (24:20):
Um, and it's also the sound like it's easing.
He was easing up, uh, the thought
process and getting out of your feelings in this
process.
>> Andrew (24:29):
That's right. We, we don't want feelings, we want
data. We got enough feelings in this world on
politics. We'll keep the feelings aside,
make data driven decisions. And then, you know,
and everyone's been there, right? Like you're sitting there and you're reading a
headline, you're like, oh, uh, crap, I gotta get rid of this thing. Is this
gonna be bad? This sounds bad. Know
there was an interesting research report
(24:52):
that came out that said,
um, news
outlets that have more negative
coverage perform better
financially than news outlets that have more
positive coverage.
>> Anthony Weaver (25:05):
That's crazy.
>> Andrew (25:06):
And it was like an analysis of why. Right, because
human nature is, we're inclined to focus
on things that could harm us as
animals are roaming around the planet, you know,
once. And uh, now we're
all driving our cars and then the cars are driving us.
We're kind of eliminating that need to
be worried about a lion jumping out and eating us.
(25:28):
But that part of our brain is still very much there to
focus on the negative information and then kind of hyper
react to it.
>> Anthony Weaver (25:35):
That makes sense.
>> Andrew (25:36):
We try to take that away by saying, hey, don't worry, you
know, this Is just the mean reversion. There's a
correction normally 30 days away, so
might be bad today, but if you look at the numbers.
Sun's coming out.
>> Anthony Weaver (25:49):
Yeah, we gotta make it happen.
Um, so, um, I'm
gonna take a quick pause here. Is it okay we continue
on or you got a cut off?
>> Andrew (25:59):
Um, okay, yeah, I blocked it until three.
>> Anthony Weaver (26:02):
Okay, perfect. I'm gonna try to wrap it up in 15. Is that
okay?
>> Andrew (26:05):
Yeah, yeah, that's fine. Cool.
>> Anthony Weaver (26:06):
All right. All right. So we
wanted to know, um, because now that
you've had this tool out here for a while, why did
you even create this tool in the first place? Was it something that, like a passion
project? Did you do it with a team? Um, did
your mom tell you, like, hey, I need to get better with my
finances?
>> Andrew (26:25):
It's kind of all the above, actually, to
start with. The fact that, like, as an entrepreneur,
I am pathologically
optimistic that we can build
stuff to help other people. So, you
know, we could build stuff to help big
companies get bigger. But that's not.
Doesn't really get me out of bed in the morning. Um,
(26:48):
so we wanted to solve a problem that we knew was in the market
that was going to help people and have a mission
driven organization. The backstory,
there's like a long and a short version. Um,
I give the short version which was we had a
company prior to this for 10
years and it did a lot of like
online data mine data mining and analysis
(27:11):
also around events. Uh, it was sort
of reputational damage assessments
for publicly traded companies
where something would happen and then our system would
identify what that something was like. For
instance, we had, um, a rail company as a
client and they were always, not always 20 or
30 times a year, the train would derail,
(27:33):
crash. Sometimes it was okay, sometimes it was
horrible chemical spills or oil spills.
But the company was so large that they
usually wouldn't even know about it until, like the CEO
would turn on CNN and they would see the train, like,
burning. So usually before
that there was somebody in their backyard taking a picture, putting it on
Twitter. We would be able to grip that picture, flag
(27:56):
it, send it over. And so we were always doing like real time kind of
event analysis. But we started to see all these patterns,
right? So company would have an event, move the
share price positively or negatively.
We ended up selling that company in 2019,
and the tech group and I, the kind of core product team, like
regrouped and thought about, you know, what was
(28:16):
difficult about that business, right? What went right, what
went Wrong. Could we have done better?
And we decided we were going to build AI
to kind of autopopulate a lot of the data
sets that the traditional Boolean search just
couldn't do because all the false positives, as
you see, um, we weren't really sure what the
target market was going to be. But we always kind of
(28:39):
had this idea of like, maybe we're on the wrong side
of this because, you know, these companies that we were helping and we
felt good because they had employees and employees were people and
they get to keep their jobs. But I was like,
well, the company just saved a billion dollars. We got
our annual contract. Maybe we should be, you know,
on the investing side of this. And then
(29:00):
as we're trying to figure out, like, what
problem specifically we were going to solve,
Covid happened, which was
a huge event.
>> Anthony Weaver (29:09):
Yeah.
>> Andrew (29:10):
And it changed the market
and started getting phone calls from
parents and cousins and brothers
were concerned that this was the start of a global
depression. They wouldn't have money
for their kids college savings. They wouldn't have money
for retirement. This was going to wipe everybody out.
(29:31):
And I have an unusual background of sort of
starting my career as an epidemiologist, working in public
health consulting for the CDC and then
moving into event driven data
analysis, uh, with a lot of like,
market insight. I had just sold
my company, so I also didn't have a day job,
so I could spend 80 hours researching like
(29:54):
every pandemic in the history of America.
How did it impact stocks and what
sectors were most affected and what was the government response? And I
made this massive analysis and figured out
market's gonna be right back to where it was before in six months.
We're gonna have a vaccine out in 12.
Told people that I thought it was nuts. Um, but
ultimately that's what happened. And it was just
(30:16):
not me being that particularly bright about it. I was just
looking back at what had happened in the past and saying, no,
like, they're gonna roll out the vaccine. They're gonna use some version of
one that they had and they're gonna close down
the schools just like they did during Zika in Miami.
And the cruise ships are going to get killed, the airlines are going to get
killed, hotels are going to get killed. Tech's going to do
(30:37):
well, you know, and started it start. All
started to sink in, like, hey,
what just really happened was there was an event that
came. No one knew how to react to
it. And yet there's this treasure trove of historical
information that we could have accessed had
there been a Solution to access that which
didn't exist. So that was the Aha.
(31:00):
Uh-huh. Okay. It's events, it's past
movements and how they could be used to predict future
movements of prices. And it's to
protect an individual who doesn't have the expertise to
go do that kind of research or simply just doesn't
have time and would normally be
forced to wait two weeks until Goldman
(31:20):
Sachs has bought all their positions and then released
their know what stocks to buy for Covid list so
that you can bump up the share price of everything they already bought.
You know, just a theory. I don't know if that actually happens.
Just a theory to clear the
air. Um, but yeah, I mean that's kind of
a typical play. Right? Would be a smart move.
(31:42):
So we wanted that to solve the problem. But then we
realized like, well, you know, the black swan events are good,
but like what really happens on a daily basis are these corporate
announcements. That's where the steady flow of news is.
Um, those are like, you know, death by a thousand paper
cuts instead of just the big event that happens
every four years. So we wanted to make that
(32:02):
and we did. It was hard. Um, there
was a lot of problems to solve.
We had to deal with real time data from the markets. We had to deal with
the financial, uh, statements and
balance sheets and crunching the right numbers and metrics.
We had to map that to all the tickers. We had to eliminate
weird false positives like Bluebirds that fly in the
(32:23):
sky versus Bluebird Bio, you know,
or, or acronyms that are used,
um, and short names,
you know, Astra versus AstraZeneca versus Astra,
the Rocket company. So you
know, there was that, there's the price correlation. It was, it was a ton of work.
We got it done by kind of launched like a
minimum viable product. It was the end
(32:46):
of 2022 and then ran a beta test for a
year. So by the end of
2023 we had a lot of feedback from people
saying, this is really cool. I love the alerts.
You know, I don't like being on platforms all day. I just kind of want to
click a few buttons and then sit back and
then I, you know, trade off of that. And so we,
we saw at that point,
(33:07):
um, there was a really
big opportunity and there's a lot of demand.
This was coming in the wake of
2022, which I think took a lot
of new traders that came on during COVID by
surprise. If you would just signed up for a
Robinhood account for the first time and Thought that the market only went
up. They were making so much money
(33:29):
as you know, the government's poured $4
trillion, uh, of liquidity out there.
It's pumping up the stock market and everybody was a stock genius
in 2021. And then it starts to sell
off in 2022 and people start looking for
strategies in 2023 that like, hey, maybe
I can't just buy the index if the index is down
(33:50):
25%.
Uh, and so that got us a lot of, I think,
interest in alternative ways
to think about investing. We're not the only type,
you know, but right. There's fundamental, like if you
want to be in a stock forever and you want to analyze
their balance sheet and their, you know, debt to
(34:10):
equity ratios and what they're paying for interest rates
and go look at all that stuff. Great. If you can do
that. Most people can't or don't have the time or don't have
the expertise. So they've often moved to
technical analysis, which,
you know, is sometimes useful.
Sometimes more like just staring at the sky and making shapes
(34:31):
with the clouds up there.
Um, you can look at a chart and say, oh, I can see
a teacup for me, buy
them out. Right. Uh, so we wanted to create
a third way to do this which is event driven
investing and to make it accessible.
Um, and I think we, we've done it. We, obviously there's always
more to do. We want to keep improving. We hope people sign
(34:54):
up and kind of contribute that way because
as they sign up or even, you know, let your friends
know about level fields like that allows us to pursue this
mission which, you know,
admittedly there's, there's not a lot of institutions
who are in kind of the investment world
and necessarily want to see,
(35:14):
democratize access to all
stocks. Yeah, it eliminates the edge.
>> Anthony Weaver (35:20):
So I'm thinking of, um, because I had a
couple people that come on the show before to talk about
ESG investing. For those, as a
reminder, it's environmental, uh, social and governance.
Um, does it actually track that type of investing? So
somebody, somebody that really want to be more
environmentally in uh, their stocks or just,
it doesn't matter, just like, hey, we only going to
(35:42):
do with this particular one.
>> Andrew (35:46):
We haven't added the ESG events.
Not necessarily because we don't want to, it's just because we
haven't seen the correlations there.
>> Anthony Weaver (35:54):
Gotcha.
>> Andrew (35:55):
So you know, if, if Amazon comes out and they
say we're going to get rid of all cardboard in the next 10
years, it doesn't actually Move the share price.
>> Anthony Weaver (36:04):
Interesting.
>> Andrew (36:05):
So while it's great,
um, it's not really the thesis of the application. So
if they. If at some point, if there is
a renewable technology company that comes out and says,
you know, here's a new product, and that product is
exciting because the unit economics
are cheaper than oil, that makes the
platform.
>> Anthony Weaver (36:26):
You know, that makes sense.
>> Andrew (36:28):
An array solar that comes out with a really cool way to do
solar where it doesn't just sit in a field, but it actually
tracks the sun throughout the
day, you know, as the earth is rotating, so that it's always
facing the sun instead of only facing the sun.
Sometimes, as is the case, you know, the people that show up
to your house trying to sell you residential solar.
>> Anthony Weaver (36:47):
Right.
>> Andrew (36:48):
They're going to nail it to your roof. Right. And like, you have to be
facing south. Like my neighbors across the
street who face north, like they're sol, they
can't get solar because they face the wrong direction.
But they're like, oh, you face south, so we can get
some solar on your house. Um, so this, you know,
cool technologies like that, that,
(37:08):
um, there's a wave company that I saw recently come
through, just got a. A government contract
they have. And that makes the platform.
They have a technology of like floating buoys.
And as the buoy is rocking, somehow it makes
energy.
>> Anthony Weaver (37:24):
Okay.
>> Andrew (37:25):
So they put it in like a rough ocean, you know,
I don't know what it's going to be. And it generates power and
then they transfer that power somewhere.
>> Anthony Weaver (37:34):
Yeah, I've seen various ones because there's another
one that sets one up on. Along the coastline and not
yet along the coastline. So as the water hits up against it,
it generates power that way. Instead of putting those big
boulders that they have just to kind of the
wall that they put up.
>> Andrew (37:50):
Yep.
>> Anthony Weaver (37:51):
I was like, oh, uh, that sounds interesting. But does it
scale? Like how. And how long does the.
Did the technology last?
>> Andrew (37:59):
Right. And those things generally
on their own, they're not going to do very well. So he
requires the government to say, yeah, you
know, we don't do anything from. With the water over there because it's too rough
for seas. So let's put. Let's see if we can make some money
off of this. You know, they have a lease
agreement. Company makes a little money selling power,
(38:19):
but, yeah, it's not something that you're gonna see, I think,
scale tremendously. Um,
geothermal. We see stocks that are doing geothermal,
which. That is where I
think the, the best source is, because
we're all really Just sitting on a ball of lava, wondering how
we get warm.
Yes, we're looking to the sun like
(38:42):
millions of miles away while sitting on a
fireball pretty much.
>> Anthony Weaver (38:48):
So that's what you're looking at.
>> Andrew (38:50):
Rack all this dinosaur blood and oil, like, why
can't we get down there and just put a rod,
you know, into the lava and put some steam out there
and then boom, there you go, solve the problem. Iceland is
100 that.
>> Anthony Weaver (39:03):
Yeah, they are. Um, and I actually thought that was actually pretty cool that
they have that. And I'm surprised nobody else had
decide to think like, oh yeah, they doing something great. Let's
copy that.
>> Andrew (39:12):
It's, you know, it's being done. They're trying to do
it like around Yellowstone, I guess.
We haven't quite figured out the drilling technology
yet, which is surprising. But so they have to go
to places where there's like already access to lava
flows. So Hawaii could totally do
it. You know, the sort of fire
(39:33):
ring area can do it.
Um, and there are stocks that are,
they're starting to kind of get there. They need the
government support early on, otherwise they, they run out of cash
quickly because it's expensive. But you know,
if you're going to pour money into like these wave technologies
versus like accessing something that's
already 3,000 degrees. Uh, I don't
(39:56):
know. I think, I think, I think the incentive is
better longer term to access the molten lava
under our feet because.
>> Anthony Weaver (40:03):
Um, um, I know we coming up to
the end of the show a little bit here, but we talked about
the features a little bit as far as like, you know, the way how
you seeing the size going. But what about
yourself? Um, are there like any
improvements in your life far as from
habits that you want to improve. Ah. Or even
(40:23):
in your career coming up?
>> Andrew (40:27):
Always, you know, on a daily basis I'm trying to do
things better. Efficiency is like a big one for
me because got, you know, with a startup
there's always more to do than you have
staff. M. So then it's like, all right, how do I
prioritize? You know, what's the process
for prior to doing the prioritization?
(40:47):
So that's a constant. You know, how do other people do it?
Like, how does a guy like Elon Musk have seven companies
and still running this Doge thing? Like, you
must have really good ways to manage,
you know, time productively.
Um, so I'm always looking for that and ways to
improve. I can't say I've cracked the
master nut there. I got a lot of posters of
(41:10):
my work that I have to do on my wall.
And I've tried now some
strategies. Like, you know, I don't schedule
meetings in the mornings because that's my productive time.
I can write
500 words in 30 minutes in the morning.
If I try to do that at 3 o'clock in the afternoon,
(41:31):
it's never getting done.
>> Anthony Weaver (41:34):
That makes sense.
Um, do you have any kids? Uh, like, wife or anything like that?
That's kind of like how you managing your, your family.
Household.
>> Andrew (41:42):
Yeah, we have a busy family life and
an energetic dog that needs walking a couple times
a day and play. And, um, the balance
of that is difficult. I've, I've started
to get my kids involved and kind of like watching the
stock market.
>> Anthony Weaver (41:58):
Good.
>> Andrew (41:58):
So I got them little portfolios. They could understand what I actually
do for a living. Um,
they're, you know, their mom works for a public company, so bought
a little of those shares. They can kind of monitor. And then I
can explain, like, yeah, here's, here's what mom does, like
when she does a good job. Here's what the stock does. And
know.
>> Anthony Weaver (42:17):
Awesome. Because I'm thinking a tool
would be great for parents to get their
kids to say, like, hey, you know what? Pick, uh, a
stock. Let's see what's happening. What are the news behind
it? What are the triggers that's going on? And so now, like, you
can actually watch it from a global scale happening in real
time.
>> Andrew (42:35):
It makes things make sense. Kids,
they want, they want obviously to be on screens
at all times. So I show them the platform.
I'm like, here's what happened today. Here's the event.
Um, you know, this CEO left.
Like, do you think that's good news or bad news? And they would say, that
sounds like bad news. I'm like, all right, so here's what the share price did, and it
(42:56):
goes down. And they see this, like, bear, uh,
indicator. It's like an angry.
>> Anthony Weaver (43:00):
Oh, that's cool.
>> Andrew (43:02):
And they're like, I love their angry bear.
Um, and they get it. They're like, okay. So that makes it go
down. This makes it go up. This makes total sense. And they're going through it. I'm like,
now why? You know, for another event
and say, why do you think this happened? And
trying to explain, like, the interconnections in the economy.
But we'll look at things that they see on a regular
basis. So, like, I drive a GM car. So we looked at
(43:25):
GM stock. We love Teslas. We look at
Tesla stock and like, the Product launches and how they
did and Tesla product
launches is one of our events that we track. But it's like
50, 50, 50 times or 50% of the
time, stock goes up, 50% of the time goes down.
And then they can see that. They're like, well, what happened when,
you know, they launched the Cyber Truck? Let me see,
(43:47):
let me see. When they lost. And I'm like, oh, why did it do so
badly? I love the Cyber Truck. I'm like,
well, you want to watch the video? I'll show you the
video. This was
supposed to be the bulletproof glass that the thing went through.
So, you know, you mix it up and then like, it makes
sense of the world for them. Um, so we
find. They actually find. Now
(44:09):
lately we're getting a lot of women that sign up
for, for the app. Um,
and you know, we've kind of done the research during the beta
test, we knew why, which is like they like to know what happens
next. You know, they like to be able to plan it out and kind
of see the why and see what's about to happen.
Um, whereas, you know, it's. It's
(44:30):
slightly different, I would say, than like male traders who are like
just short win.
>> Anthony Weaver (44:34):
Right.
>> Andrew (44:34):
You know, I don't care why it'll just
as long as it works.
>> Anthony Weaver (44:39):
It's making me money today. Okay.
>> Andrew (44:41):
Yeah, exactly.
>> Anthony Weaver (44:42):
Because I noticed that even when I looked at my analytics, I have more women
watching the show since I would say August of
last year. It's almost like a, uh, I
would say almost like a 74 for women
watching this show since last. That's good by some
of it. So. Oh,
amongst the ladies, it's usually the.
>> Andrew (45:02):
Test like, you know, because the stocks that I see that do well, like
especially on the retail side, more, more women
behind it than guys like a
Lululemon kind of stock or you know, other retail
outlets that, that really know how to put the
deals out there better and
merchandise better.
>> Anthony Weaver (45:20):
I like that.
Um, so before we get to the final four questions, is there
anything that you want to leave the audience with?
>> Andrew (45:27):
I would tell you how to access Level Fields,
if that's useful. You go to level Fields, AI
Um, you can sign up for free newsletter
and get an idea what we do. We have
YouTube channel that also gives away some. Some free ideas.
You kind of get a flavor of it. Part of the
offering that we have is to do it yourself, which is like the
(45:49):
$300 a year version which we should
make back in one trade. And then we have the. We'll help
you we kind of send out uh, a couple trades a
week and then you know, it's turned out to be a pretty good
educational resource because it's showing the
why behind the, the idea. So
people really like that, that level two now, it's growing pretty
(46:09):
rapidly. Um, so if you don't feel like you have the
time to do it yourself, we can certainly help you with that.
And if none of this sounds interesting, you know, please refer to
you, write it down and tell your friends it's
guarantee some of you know it's going to want this if you're you
know, exercising or doing the laundry,
just uh, jot down level fields AI and please let
(46:29):
other people know.
>> Anthony Weaver (46:30):
Nice. And um, remember, have the kid
mentality, you know.
>> Andrew (46:35):
Yes.
>> Anthony Weaver (46:35):
Like what's happening.
>> Andrew (46:36):
Right, Exactly. Let's enjoy the
interconnectedness of the butterfly effect.
>> Anthony Weaver (46:43):
Ready for the final four?
>> Andrew (46:45):
Sure.
>> Anthony Weaver (46:46):
Alrighty.
Number one, what does wealth mean to you?
>> Andrew (46:58):
Time. Well this time to
me you can, you don't necessarily need money
to have it, um, but it gives
you the time to enjoy things.
>> Anthony Weaver (47:09):
I like that. Number two,
what was your worst money mistake?
>> Andrew (47:15):
I was about to liquidate my
entire portfolio in 2007 and buy
only Apple stock with it.
And I did not.
And I still to this day. And I loaded up
the ticket and I was going to just going to put everything
I had into Apple stock. And I had all this
(47:36):
like previous bad advice in my head
like, oh, technology always changes. You never know what's going to
happen. Don't put all your eggs in one basket. Diversify
all that. And I didn't do it. And not only did
I not do it, I didn't buy a single share. And I
don't know why, looking back, I think I was so ashamed of
like just getting scared of
(47:56):
doing that move. So that ended
up losing many
millions of dollars. Not losing, but
not gaining like access to it. So
I, I was teaching my, my son some math the other
day and I made him run the numbers.
Nice. How much that would have been today. And
(48:16):
he was like, dad should have totally done that.
We could have had like such a better house.
>> Anthony Weaver (48:24):
It's always about the house, right?
>> Andrew (48:25):
Yeah.
>> Anthony Weaver (48:26):
This is better. Yeah.
>> Andrew (48:29):
I could have had a quad and you couldn't have a cybertruck.
Like, well, you know, there's risk and reward.
>> Anthony Weaver (48:37):
Yeah. The video. Take
it. Shooting your shot, right?
>> Andrew (48:42):
Yeah, that one hurt.
>> Anthony Weaver (48:45):
Number, uh, three. Is there a book that inspired
your journey or change your perspective?
>> Andrew (48:51):
Yes. Although I don't think it's maybe what
you mean by it. So Jurassic Park.
>> Anthony Weaver (48:57):
Interesting.
>> Andrew (48:58):
Um, not so much because I wanted to dig up
dinosaurs, but the. The author,
he wrote Jurassic park after dropping
out of Harvard Medical School. Michael
Crichton. So he's in his third year of. Of
Harvard Medical School, which
fairly difficult to get into. Um,
(49:19):
pretty much set for life, you know, to be able
to graduate from there, go on, be a doctor,
have a, um, pretty stable
income. Right. What most people
aspire to.
>> Anthony Weaver (49:32):
Yeah.
>> Andrew (49:33):
And he gave that up on the risk that this
idea for Jurassic park would be a huge hit.
Of course it was. He was right. But
being able to look at that and walking
away from something that's a success, to go for something
that's an unknown, really inspired me. I was
like, okay, I can do this too.
>> Anthony Weaver (49:53):
Nice. Did you walk away from like.
>> Andrew (49:56):
Well, you know, it was a guy who's gonna go to law school and be
a lawyer, and, you know, at one point was doing
environmental management type of work.
That was a safe choice.
>> Anthony Weaver (50:06):
Yeah.
>> Andrew (50:07):
Um, but it's like, you know what? That's
just not for me. I want to do something bigger. I like to
build. It took. It took many years to realize
that, you know, who
I was is a core person. It's like, I'm a
builder. I like to make stuff. If, um, I'm not
making things, then I'm probably making my wife
miserable.
>> Anthony Weaver (50:30):
Sounds like a fun time at home that day.
>> Andrew (50:34):
Projects.
>> Anthony Weaver (50:37):
Uh, number four, what is your
favorite dish to make?
>> Andrew (50:42):
Dish? Um,
chocolate banana pancakes.
>> Anthony Weaver (50:49):
Okay. See a picture of those.
>> Andrew (50:52):
Well, they're good. Uh, I've gotten very good at them.
My kids love them, so every. I try to make them every
Saturday morning.
>> Anthony Weaver (50:59):
There you go. Um, and the
very last question of the show, which is, where could people find out more
about you, more about me?
>> Andrew (51:07):
Uh, um, if you want to
know,
you can certainly Google my name.
Andrew Einhorn. There's, um. There's another one who
takes dirty photos. That's not me. Um, but the
one that does podcasts, that's me.
>> Anthony Weaver (51:27):
I did notice that when I came across look who you are.
>> Andrew (51:30):
Yeah, I mean, they're good,
but no, that's not me.
>> Anthony Weaver (51:35):
Okay.
>> Andrew (51:35):
We have different hair. He's curly hair. I mean, straight.
>> Anthony Weaver (51:39):
Got it. Well, thank you so much
for coming through. This, uh, was such a
fun time having you on and got a chance to learn a
lot about AI, a lot about what we can do with
it, and also how we can
actually utilize it in our futures. I really think
that, um, what you have is
almost like an episode of Black Mirror on the level
(52:01):
of insight that it can possibly
provide. I can't wait to see it on one of those episodes.
So thank you for, ah, sharing that with
us.
>> Andrew (52:10):
We haven't taken the creepy turn yet to be back.
I'll let you know if we do.
>> Anthony Weaver (52:14):
Okay, thank you.
>> Andrew (52:16):
Appreciate it. Thanks for having me on.
>> Anthony Weaver (52:19):
All right, everybody, we out. Be
safe.
>> Andrew (52:22):
Peace.
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