| Note from Michael Salvatore, Editor, TradeSmith Daily: The financial publishing world is in no short supply of bold calls. But I've learned that if you're going to listen to anyone make a bold call, make sure it's someone who knows what they're talking about and has the experience to back it up.
To that end, I want to put a spotlight on InvestorPlace senior investment analyst Louis Navellier.
Louis has experience in spades, with his 47 years of trading the markets through the booms and busts of the dot-com era, 2008 financial crash, COVID crisis, meme-stock craze, and AI boom. He also holds the keys to a quantitative, proven system for finding explosive growth stocks (like I showed you yesterday).
With it, he's uncovered 18 100-baggers in his career – stocks that multiply your money by 100x or more. And that's on top of almost 700 other stocks he found that doubled.
Louis knows stocks. He knows this market. And that's why his latest call on NVDA – and the real AI boom few investors are aware of – is a must-see.
Read on to learn why his newest big prediction makes so much sense... |
Why I Expect Nvidia to Be a $5 Trillion Company By Louis Navellier, Senior Investment Analyst, InvestorPlace If you had asked me what the most important June date for Nvidia (NVDA) would be, my answer would have been Monday, June 10. This was the day NVDA stock would start trading at its new split-adjusted price following its 10-for-1 stock split on June 7.
However, my new answer is Tuesday, June 18, the day Nvidia's market cap hit $3.35 trillion – sailing past Microsoft's (MSFT) $3.317 trillion market cap and briefly making Nvidia the largest publicly traded company in the world.
But trust me, we haven't seen anything yet.
I expect Nvidia to blow through $4 trillion in market cap this year and then rise to a $5 trillion market cap in 2025.
So today, I'll explain why. I'll also give you a "crash course" in algorithmic trading.
And then, I'll share a prediction – one that, if it comes true, will change our lives forever.
Let's get started. Nvidia's Next-Gen AI Chips The big jump from $4 trillion to $5 trillion should follow the announcement of the successor to Nvidia's Blackwell chips.
The fact is Nvidia spends more than $2 billion to develop its next-generation AI chips – and competing with it has become increasingly futile. In fact, all the other AI chips in development are increasingly low-tech chip solutions, not the deep learning, generative AI chips that Nvidia develops.
The Blackwell chips enable generative AI, which Nvidia calls the "defining technology of our time." So the company expects its Blackwell chips will "power this new industrial revolution," as it provides AI for all industries.
Interestingly, though, Nvidia refuses to rest on its laurels. The company aims to launch a new-generation AI chip every year until the end of the current decade. As a result, Nvidia is leading the entire market. In fact, Bloomberg TV recently stated that the Magnificent Seven have now become the "Magnificent One and 499 other stocks" in the S&P 500.
I don't even think the Justice Department and the Federal Trade Commission will be able to derail Nvidia. These two entities recently struck a deal on how to proceed with antitrust investigations into Nvidia, Microsoft, and Open AI. But The Wall Street Journal even said these investigations "may ultimately come to nothing."
I should also add that the company still has stunning forecasted earnings and revenue growth. For the current quarter, earnings are forecast to more than double year-over-year to 59 cents per share, compared to 25 cents per share in the same quarter a year ago. Revenue is expected to come in at $26.43 billion.
Nvidia has also posted positive earnings surprises in each of the past four quarters, as well as increased its outlook in the wake of these earnings beats. So all the stock needs to do is follow earnings growth and continue to guide higher, and NVDA should soon surpass the $4 trillion market cap and press onward to $5 trillion. Algorithms Set to Jerk Stocks Around As for those other 499 stocks in the S&P 500... I expect them to be increasingly impacted by mean reversion trading algorithms that Citadel implements after each earnings announcement season winds down.
And here's where your crash course comes in: These algorithms like to hit stocks that are overbought and are typically based on a non-linear neural algorithm that becomes unwound as volatility increases. The former algorithmic traders that I have questioned have reluctantly hinted that these mean reversion algorithms typically last 10 to 12 trading days, but it all depends on how fast volatility increases.
The neural algorithm folks like to brag that they are not burdened by any fixed time cycle and that their neural algorithm "naturally adapts." I do not mean to burden you with the math geek jargon (which is essentially how they reinforce their fragile egos), but in the end, these mean reversion neural algorithms just hit overbought stocks and covers them as they back and fill and digest their recent gains.
Conversely, these mean reversion neural algorithms can be used to artificially "pump up" oversold stocks. However, as trading volume dries up, these mean reversion neural algorithms typically run for cover. The reality is that algorithms cannot effectively work without trading volume.
Personally, I am a "liner" math guy, since my quantitative and fundamental analysis is done on a trailing 52-week basis. Although we also run quantitative rankings on a 270-day, 120-day, 90-day, 60-day, and 30-day basis. I'll give you the rundown of how that system works today – and you'll want to pay attention.
Because this system has spotted almost every boom of the last decade – from gene sequencing to electric vehicles, energy, and more – and now, it's pointing to an absolute mania in 2024.
I personally haven't seen an opportunity on this scale since 1994. If you get positioned immediately, it could double your money six different times.
Click here for the details before this video goes offline Tuesday. | 
Tidak ada komentar:
Posting Komentar