Russ Cohen

The Stock Market’s Sweet Spot Starts NOW (3 Stocks to Buy)

Jeff Hirsch joins us to discuss a potential year-end rally, his bold AI forecast and three stocks on his radar.

Listen to the audio version of this article (generated by AI).

October has a spooky reputation for volatility and market scares.

And given the market turbulence we’ve seen lately, it’s easy to understand why investors might be feeling uneasy.

We’ve had a sharp sell-off in tech stocks, stubborn inflation, rising oil prices and plenty of uncertainty about the Federal Reserve’s next move.

But what if I told you that October is actually one of the best times of the year to buy stocks?

That’s exactly what my friend Jeff Hirsch believes.

Jeff Hirsch is the editor-in-chief of The Stock Trader’s Almanac, which has spent 60 years tracking seasonal market patterns and uncovering some of Wall Street’s most interesting historical trends.

And according to Jeff, October has historically been the strongest month for the S&P 500 during mid-term elections. In fact, he believes we’re entering what he calls the “sweet spot” of the four-year presidential election cycle, a period that has historically produced some of the market’s strongest gains.

Better yet, his seasonal buy signal has already flashed.

Now, that doesn’t mean stocks will go straight up from here. But he believes the stage is set for stocks to move higher into year-end, and well into 2027.

That’s why I asked Jeff to join Crystal and me on this week’s Navellier Market Buzz.

We discuss why tech and small-cap stocks could lead the next rally, the latest inflation readings and how they impact the bond market, why he believes we’re still early in early stages of an AI buildout – and three stocks he’s watching now.

Click the image below to watch this week’s Navellier Market Buzz.

How to Find Bigger Gains in a Volatile Market

Interestingly, while we’re seeing the potential for a short-term rally heading into the end of the year, the swings along the way could set up new opportunities of their own, if you know where to look…

My colleague Jonathan Rose knows a thing or two about finding them – especially in bumpy conditions like we’ve seen lately.

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Jonathan spent eight years trading in the Chicago pits, where he learned to track the movements of Wall Street’s biggest players.

So, when tech stocks recently hit near record highs while bond prices were falling, the disconnect caught his attention.

He warned that the Nasdaq could drop 5% over the short-term –  which is close to what happened.

And when asked what he’d do if that played out, he was unequivocal: “Back up the truck and let’s buy.”

He didn’t mean to buy everything that goes on sale, of course.

Jonathan watches for unusually large trades that could signal someone is putting serious money behind an idea. As he explains, a million-dollar order in NVIDIA Corporation (NVDA) might barely stand out. But the same order in a smaller, less heavily traded company could deserve a closer look.

Jonathan explains how he puts all the pieces together in his free $10K to $100K Challenge.

He walks through how he identifies unusual trading activity, evaluates opportunities and structures positions with a defined amount at risk.

And he shows you just how he’s used that strategy to identify some remarkable opportunities, including:

  • 209% in just 13 days from Lyft, Inc. (LYFT)…
  • 183% in 14 days from QXO, Inc. (QXO)…
  • And 275% in less than a month from iShares Ethereum Trust ETF (ETHA).

Of course, not every trade will be a winner. But these examples show just how quickly gains can add up when you identify the right opportunity.

Now, in his latest presentation, Jonathan explains how he believes it’s possible to turn $10,000 into $100,000 over 12 months with this strategy.

It’s an ambitious goal, to be sure. But if you’d like to learn how Jonathan finds these opportunities, I encourage you to watch while you have a chance.

Click here to watch Jonathan’s free $10K to $100K Challenge presentation now.

Sincerely,

Louis Navellier

Editor, Market 360

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