We live in this massive ocean of infinite financial
data today. Yeah, we really do. And unrefined
data is basically just pure paralyzing noise
for most people. It is. I mean, have you ever
stared at a company's financial page? Oh, absolutely.
It can feel completely dizzying. Right. The green
and red charts just kind of blur together endlessly.
You feel completely lost in the sheer mathematical
noise. It's overwhelmingly complex. And I still
wrestle with this confusing feeling myself sometimes.
I remember buying a stock just because a friend
called it a sure thing. Oh, no. Let me guess.
Yeah. I didn't read a single actual financial
statement first. I just trusted the hype and
I lost money. Lots of it. Yeah, that happens
to so many of us, unfortunately. We simply don't
have the time to properly research. Exactly.
And Wall Street intentionally makes the data
confusing and dense. I simply didn't understand
what I was actually buying. But that is exactly
what we're going to fix. Right. Welcome to this
deep dive. Today, we have a very specific and
empowering mission. We're unpacking how to turn
Claude AI into your personal analyst. Yes. We're
going to transform it using seven highly specific
prompts. And here is the absolute best part of
all this. You don't need to be a math genius
anymore. Not at all. This technology completely
levels the playing field with big banks. You
can take control of your financial future today.
Okay, let's unpack this. We need to start by
looking at a single stock. Right. We have to
analyze one company before filtering the whole
ocean. Traditionally, calculating the intrinsic
value of a company takes days. Oh, easily. Wallstroom
teams literally work grueling hundred -hour weeks.
Yeah. They pull hundreds of complex pages of
historical data, and they build these massive
discounted cash flow models in giant spreadsheets.
Which is just a... estimating value based on
future money made. Exactly. It is a grueling,
highly manual human process. But an AI like Claude
changes the game entirely. It really does. It
reads that unstructured corporate data almost
instantly. It recognizes the underlying linguistic
patterns in the complex numbers. Which brings
us to prompt one for our toolkit today. The general
health check. Right. You ask Claude to act as
a senior fundamental analyst. And you tell it
to check a specific stock ticker symbol. Like
say we're deeply analyzing Apple or Tesla. The
exact phrasing of the prompt is incredibly important
here. Yeah, you must tell it to act as a senior
analyst. Right. This clever technique is called
role prompting in the AI world. It forces the
language model to aggressively narrow its focus.
Mm -hmm. It pulls knowledge specifically from
its vast financial training data. But how does
a language model actually evaluate financial
health? Yeah, it doesn't have a traditional calculator
in its digital brain. Right. And that is the
truly brilliant part here. It has read millions
of historical financial books and analysis papers.
Wow. It knows exactly what a healthy balance
sheet looks like linguistically. So it checks
their revenue growth immediately, which just
means making more money yearly. Exactly. And
it checks their profit margin. Meaning the money
left in pocket after costs. Right. It compares
their massive corporate debt against their cash
reserves. And debt is basically just money owed,
right? Too much means bankruptcy risk. Debt is
crucial right now because interest rates are
higher. Too much debt means a serious risk of
corporate bankruptcy. And finally, it gives a
clear buy, hold, or sell recommendation. Because
just looking at a rising stock chart is incredibly
dangerous. It is exactly like looking at the
cover of a book. Yeah. You cannot tell if a person
is healthy from the outside. You need a full
health check to look deep inside. You have to
understand the actual numbers driving the underlying
business. But checking thousands of stocks by
hand takes an entire lifetime. Which is where
Prompt2 comes into the picture today. The customized
stocknet. We use AI to build a specific mathematical
filter. You basically tell Claude to actively
filter for specific business characteristics.
Right. You might want fast -growing tech stocks
with massive upside. Or you might want safe,
dividend -paying healthcare companies instead.
This specific filter helps you catch only the
biggest, strongest fish. The AI builds a custom
screener based on your specific words. And a
great example comes directly from our source
material today. Someone checked a very famous
tech stock using this exact filter. The overall
corporate sales were growing incredibly fast
every single quarter. But dangerous high debt
was hiding quietly behind the scenes. They were
borrowing heavily to pay for new. risky project.
And the AI flagged this hidden debt ratio immediately
for the user. Yeah, that hidden information prevented
a potentially terrible financial purchase. Wait,
so AI isn't just summarizing data. It's actively
building customized filters. Exactly. It builds
a net to catch only the strongest, healthiest
companies. Now that we have our customized net,
the challenge completely changes. It really does.
How do we understand those dense, boring quarterly
business updates. We need to extract the truth
without getting a massive headache. That is exactly
where we use Prompt 3 today, the translator.
Right. Because every three months, public companies
release quarterly earnings reports. The 10Q report.
It's a legally required quarterly summary of
a company's finances. And honestly, they read
like giant sleep -inducing report cards. Ha ha.
Yeah, and they are largely written by highly
paid corporate accountants. Here's where it gets
really interesting. You don't need to read the
massive document yourself. No, you just copy
the raw text directly from Yahoo Finance. And
then you paste it directly into the Claude prompt
box. You ask the AI to read deeply between the
corporate lines. We are looking for three specific
things in this dense text. First, we look closely
at the Wall Street expectations. Right. Did the
company actually beat those high expectations
this quarter? Second. We deeply analyze the boss's
specific words and tone. We're basically looking
for subtle hedge words in their language. Exactly.
Words like headwinds or transition period are
major linguistic clues. They're often cork and
speak for, we're losing money rapidly. Yeah.
Third, we instruct the AI to look for weird accounting
numbers. It helps spot massive red flags hidden
in the complex math. Like a company faking profit
by selling old office equipment. Right? Or borrowing
money instead of actually growing their core
sales. It finds the real truth hidden deep in
the accounting jargon. It completely bypasses
the corporate spin and looks at the raw reality.
But I want to push back on this a bit here. OK.
Prompt four is what we call the aggressive devil's
advocate. We instruct the AI to ask, what if
everything fails completely? But if I tell Claude
to act as a strict risk manager, Isn't there
a danger it's just hallucinating a fake corporate
risk? Yeah. How do we actively stop it from making
up fake numbers? That is a brilliant point, and
it happens quite often, actually. Right. That
is exactly why Prompt 4 includes a very specific
rule. You force the AI to cite the exact original
paragraph. Oh, wow. Yeah. It must quote the earnings
report to legally prove its point. So you tell
the AI to stop being polite and artificially
nice. Right. You instruct it to brutally tear
the business model completely apart. And there
are three main risks it will aggressively search
for. First is market risk. This is a big economic
storm hitting every single ship at once. If the
whole economy crashes, this specific stock will
crash too. Second is industry risk. Your specific
business might just become completely outdated
very soon. Think about gas cars versus electric
cars over a decade. People might stop needing
your core physical product entirely. Exactly.
Third is financial risk. This means taking on
way too much toxic corporate debt. It is literally
like trying to swim while holding heavy stones.
Two secs silence. Does it actually catch them
faking their profits? Yes. It spots if they just
sold equipment instead of truly growing. Sponsor.
Okay, so we know how to find the hidden corporate
risks now. But what happens when you find two
truly great, healthy companies? You only have
the available money to pick one of them. Right,
you cannot just flip a coin and blindly hope
for the best. That brings us directly to prompt
five in our journey. The head -to -head battle.
You force two rival stocks to fight logically
and scientifically. Think of a massive battle
like Coca -Cola versus Pepsi. Or a massive global
tech war like Apple versus Microsoft. You base
this battle on your own specific financial goals.
Are you looking for fast growth or steady, reliable
income? And you must define your exact time frame,
like five or ten years. Whoa! Imagine it calculating
the exact moat of two giant rivals in mere seconds.
It is amazing. The sheer computing power required
to do that historically is absolutely staggering.
The economic moat concept is absolutely crucial
to understand here. Yeah. A moat is basically
water protecting a castle from enemies. Think
of a business moat less like water around a stone
castle, though. It is more like a toll bridge
in a small town. Right. A town that only has
one single narrow river crossing. Apple's software
ecosystem is a massive, highly profitable toll
bridge. Brand loyalty is another incredibly powerful,
invisible business mode. People will happily
buy Coke even if it costs significantly more.
Because their global distribution network ensures
Coke is in every single village. High switching
costs are another massive, highly protective
digital mode. It is incredibly hard to change
your entire phone software ecosystem. Yeah, if
you want to switch to a brand new Android device,
you have to leave all your purchased digital
apps behind. You lose your iCloud photos and
your famous blue text bubbles. That painful switching
cost is the ultimate toll bridge fee. So the
AI analyzes both companies and tells you which
moat is wider. Exactly. Then we move to prompt
six, the diversified portfolio. We all know you
should never put all your eggs in one basket.
But how do you actually build the basket properly
and safely? You start by telling Claude your
exact available cash budget. And you define your
personal risk level as aggressive, safe or balanced.
It then designs a custom mix across several different
global industries. Right. But why do we intentionally
mix completely different industries together?
Because if you only buy high growth tech stocks,
it is incredibly stressful. Yeah, when the tech
sector drops, your whole financial portfolio
drops violently. That exposes a massive vulnerability
in your overall investment strategy. So you need
to mix in boring things like food and electricity.
Even if people stop buying expensive new smartphones
entirely during a recession. They still eat food
every single day of their lives. They still turn
on their lights at night when it gets dark. There
is also a brilliant counterintuitive expert tip
hidden here. Portfolio rebalancing, which is
just moving money from winners to smaller stocks.
Right. Every six months. You ask Claude a very
specific question. Should I move money from my
winners to my smaller stocks? It feels backwards
to sell your winners, but it works mathematically.
This practice keeps your entire team of stocks
completely steady. It mechanically lowers your
overall risk while locking in those massive gains.
So why intentionally mix tech stocks with food
companies? To stay safe. People still buy food
even when tech markets crash. Mixing different
industries keeps your money safe during major
crashes. Exactly. You finally have your perfect
balanced team of stocks ready. But paying double
for a perfect house is a genuinely bad deal.
Yeah. How do we find the golden moment to actually
buy? That brings us to prompt seven. the entry
price. We analyze the current stock price against
recent market action. Because we desperately
want to avoid buying at the very top. The fear
of missing out completely destroys amateur stock
portfolios. We see a stock rocketing up and our
human brains just panic. We use the mathematical
pullback secret to protect ourselves instead.
Right, a pullback is just a small drop after
a long rise. We wait patiently for that small
drop after a long, aggressive rise. It is exactly
like waiting for a seasonal clothing discount.
Imagine a 20 % sale at your favorite retail clothing
store. Why pay full price today if you can wait
a single week? Exactly. There are three personal
golden rules to remember here. Rule number one,
always give the AI the absolute freshest data
possible. Right, because AI is not a magical
fortune teller looking into the future. Its internal
memory stops at a specific date in the past.
You must copy the latest price from Google Finance
first. Paste that fresh data directly into the
chat box for Claude. Giving a master chef the
freshest ingredients makes the meal much better.
Rule number two, remember that you are always
the final boss. AI completely lacks your life
experience and your human gut feeling. If the
AI says bye, but you feel scared, simply wait.
You are always sitting securely in the primary
driver's seat. And rule number three, keep your
specific prompts incredibly simple and direct.
Talk to Claude. like you were talking to a normal
friend. Fancy financial words will only confuse
the complex language model. Plain, simple words
always get the most clear, actionable answers.
Two sec silence. So we actually want to wait
for the pullback instead of rushing. Exactly.
Patience gets you that amazing stock at a discount.
Patience gets you a great stock at a massive
discount. Yes. So what does this all mean? Well,
in just one single afternoon, your entire financial
perspective completely shifts. You go from being
intimidated by dense, confusing financial jargon
to acting exactly like a seasoned Wall Street
pro. By using AI as your personal translator,
things become wonderful clear. It acts as a ruthless
devil's advocate and an emotionless risk manager.
It actively protects your hard -earned money
from bad, highly emotional decisions. AI is truly
the ultimate analytical tool of our modern generation.
But your human brain must always make the final
call. Your gut feeling is still your single best
financial asset. Technology gives you the map.
but you drive the car. If AI can act as a senior
Wall Street analyst today, if it can instantly
dissect a company's past and present reality,
how will the very definition of a financial expert
deeply change? That is a great point. What happens
in five years when everyone has this tool in
their pocket? The financial landscape is shifting
beneath our feet right now. Take your favorite
consumer brand today. Run it through the health
check prompt right after this deep dive. See
what incredible corporate secrets you can uncover
yourself. Thank you so much for taking this deep
dive with us. Otiro Music.