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The Long Investor
RT @StockMarketNerd: $PLTR on deck: 👀🙂 https://t.co/enAj84U9lv
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The Long Investor
Impulse Wave found on Berkshire Hathaways Cash pile.

Interesting https://t.co/OsUqmUMubS
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 Q-Cap 
Can we just send this guy to jail already https://t.co/CSJ89Zd4mm
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The Long Investor
Buffett carried out a total of 62 buys and sells combined for the whole of 2023

Averaging 1.19 trades a week

He spends 5hours a day reading on average

It takes less than 10 seconds to make a trade

He spends 99.9% of his time researching and preparing and over the last 5 years, he has only beaten the S&P 500 performance by 10%

He is still considered one of the greatest investors of all time.

Stop over trading, stop paying fees, focus on preparation and execution and stop listening to BS accounts on X telling you that you’ll make a fortune over a short period of time trading, you won’t.

Focus on long term.

$SPY $QQQ HSI
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Brandon Beylo
As of tonight, we are long silver futures.

#silver https://t.co/1tmPAZO5Nk

If silver closes at or near its highs today I think it sets up for a face-ripping bull rally.

Will delete if wrong, of course.

#silver
- Brandon Beylo
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The Long Investor
$HIMS up +6% in the PM
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Daniel
Chuck Akre is a superinvestor and leading "High-Quality" Investor.

He significantly outperformed the market over his 23 years as a fund manager.

Here are his Key Investing Concepts👇 https://t.co/o9wxqjAAw4
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Antonio Linares
When I initiated my $PLTR position, no one could see the company productizing.

Now it’s doing so at lightning speed, with margins increasing and free cash flow production trending up.

The leading indicator was the culture. Simple, but not easy to spot.
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Antonio Linares
Culture is what bridges a company’s present to its future. You can’t see it in the financials until it’s too late.
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Antonio Linares
RT @logicsblade: @alc2022 When contrasted with woke DEI cultures of $GOOG and $META, it is actually easy to spot $PLTR 's meritocracy led success. The key like you said is that we are very early on in their S Curve product adoption.
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Antonio Linares
As Warren Buffet said, quantitatives are the rear view mirror and qualitatives are the windscreen.

Here's a simple explanation of how to analyze a company qualitatively, that you will never forget:

Say that in a town called Qualitativeville, we have Supermarket A and Supermarket B - both being separate companies.

You are trying to figure out which to invest in. From the outside, both look pretty similar. You look at their books and their financials look on par too, but Supermarket A has slightly lower margins and makes a smaller profit.

You've heard financial analysts say that, as a result, Supermarket B is the stronger company.

However, you notice that Supermarket A has:

1. Wider parking spots.
2. As soon as you walk in, someone looks you in the eyes and greets you.
3. And prices are generally lower.

On the other hand, parking at Supermarket B is always uncomfortable, the employees don't really pay attention to customers and the prices feel like they could be better.

You begin to wonder, "if customers like Supermarket A better, won't it eventually make more money that Supermarket B?"

The financials certainly look better for Supermarket B, but Supermarket A has a higher customer centricity, which makes it likely that they will develop a better relationship with customers over time.

This will likely put more capital into the hands of Supermarket A over time. And if Supermarket A knows how to allocate capital well, will lead to the creation of more supermarkets that develop relationships with new customers.

In turn, although Supermarket B's financials are better today, their lower customer centricity is likely to have their customers moving over to shop at Supermarket A, losing the ability to compound on those relationships and reinvest the resulting capital.

Morale of the story: Supermarket B's financials are better, but Supermarket A's financials will likely be better because they care more about customers.

This applies to businesses all over the world. The qualitatives are a leading indicator of how well a company is likely to perform financially speaking.

There are many qualitative attributes other than customer centricity, but you get the picture.

More examples of qualitative causality chains:

1. A business that punishes its employees for failing will be unable to innovate. This will translate into loss of marketshare over time and worse financials.

2. A business in which employees have more to gain via politics (climbing the ladder) versus actually building great things for customers will soon fall behind.

3. A company that is addicted to experimentation and failing fast will soon produce a remarkable innovation.

4. A company that celebrates individuals for who they are will eventually create some of the best talent around, which will lead to some of the best products around.
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Antonio Linares
"In cloud, MI300x production deployments expanded at $MSFT, [...] and $ORCL to power generative AI training and inferencing for both internal workloads and a broad set of public offerings."

Lisa Su, $AMD CEO during the Q1 2024 call.
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Antonio Linares
Does $AMD have an edge in AI inference over $NVDA, as Lisa Su says?

"Our partners are seeing very strong performance in their AI workloads. As we jointly optimize for their models MI300x GPUs are delivering leadership inferencing performance and substantial TCO advantages, compared to H100.

For instance, several of our partners are seeing significant increases in tokens per second when running their flagship LLMs on MI300x, compared to H100."
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