This Play Can Capture The Growth Power Of Tech, Even In A Choppy Market

Right now, the market can be a scary place, as choppy as it is. Just look at what happened earlier this week. Since February 24, the broader market is down by more than 2.5%.

The thing is, I’m here to tell you that these movements might seem troubling, the overall trend still holds true, the road to wealth is still paved with tech.

If you zoom out and have a look at the past year overall, the broader market is up by almost 30%.

And that’s in spite of the hit that the market took last march when the beginnings of the coronavirus pandemic caused sharp selloffs.

Because regardless of the turns the market might take because of any one day’s headlines, the point remains, that the innovation of the high-tech sector making new things possible is what adds wealth to the economy.

The tech sector will continue to be the economy’s wealth engine even if the market is choppy for a while,

That’s why, today, I want to show a broad way to play all this tech with an investment that is beating the broad market by more than 61%…

macro photography of black circuit board
Image Source: Unsplash

The Top of The Ladder

In a way, the incredible growth power of the modern high-tech sector of the economy goes back 75 years, to the unveiling of a radical new machine on February 15, 1946.

And make no mistake, the formal debut of ENIAC was a massive breakthrough. It was the first electronic, programmable and general-purpose digital computer.

In other words, it was the forerunner for all the devices we now take for granted, from PCs and the Web to smartphones and self-driving cars.

It’s one of the main reasons why just the top five US tech firms are now worth a cool $8 trillion.

Now then, by today’s standards that ENIAC was simply massive. It filled an entire room. ENIAC boasted 18,000 vacuum tubes and five million hand-soldered joints.

More formally known as the Electronic Numerical Integrator and Computer, the machine could project the trajectory of a moving object in just 30 seconds. By contrast, it took a human 20 hours to perform the same calculations.

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