It happens like clockwork, but most traders overlook it
| | | | | | | | | | | When I first noticed this pattern, I thought it had to be a coincidence.
But after looking through the company's data…
It turns out that even when the S&P 500 took a nosedive last February, guess what? Fortinet still climbed. | | | | |
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| | | | Now, I'm not saying this is guaranteed to happen again. The stock market is unpredictable, and past performance doesn't ensure future results or protect against losses… But it got me wondering...
What if there are other stocks out there with their own "special dates"?
Days when they tend to make moves, regardless of broader market conditions?
Turns out, there are… And I've been obsessively tracking them.
I call them "On The Clock Stocks" - companies that have shown a consistent pattern of movement on specific calendar dates, year after year.
We're not talking about boring dividend dates or scheduled earnings reports. This is something different.
Something that most traders are completely overlooking.
Granted, there would have been smaller wins, and those that did not work out but I've found similar patterns with major players like Walmart, Target, and even Amazon… It's like they each have their own "special dates" hidden in plain sight.
With the elections coming up and all the talk about imminent market volatility, most folks are missing something crucial…
Which is historically, we're about to step into the TWO most BULLISH months of the year.
I firmly believe there's a lot of upside potential in the market right now - if you know where to look.
And with these "On The Clock Stocks," it's even more intriguing.
These stocks have shown a tendency to move regardless of broader market conditions or news cycles.
If you’d like to know which of these stocks to get in on this month and ahead of the coming two months…
I’ve packed all the details you might need here. | | | | |
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| | | | The profits and performance shown are not typical, we make no future earnings claims, and you may lose money. The trades expressed are from historical data in order to demonstrate the potential of the system. | | | | |
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When I first noticed this pattern, I thought it had to be a coincidence. But after looking through the company's data… It turns out that even when the S&P 500 took a nosedive last February, guess what? Fortinet still climbed. Now, I'm not saying this is guaranteed to happen again. The stock market is unpredictable, and past performance doesn't ensure future results or protect against losses… But it got me wondering... What if there are other stocks out there with their own "special dates"? Days when they tend to make moves, regardless of broader market conditions? Turns out, there are… And I've been obsessively tracking them. I call them "On The Clock Stocks" - companies that have shown a consistent pattern of movement on specific calendar dates, year after year. We're not talking about boring dividend dates or scheduled earnings reports. This is something different. Something that most traders are completely overlooking. Granted, there would have been smaller wins, and those that did not work out but I've found similar patterns with major players like Walmart, Target, and even Amazon… It's like they each have their own "special dates" hidden in plain sight. With the elections coming up and all the talk about imminent market volatility, most folks are missing something crucial… Which is historically, we're about to step into the TWO most BULLISH months of the year. I firmly believe there's a lot of upside potential in the market right now - if you know where to look. And with these "On The Clock Stocks," it's even more intriguing. These stocks have shown a tendency to move regardless of broader market conditions or news cycles. If you’d like to know which of these stocks to get in on this month and ahead of the coming two months… I’ve packed all the details you might need here. Talk soon, Graham Lindman The profits and performance shown are not typical, we make no future earnings claims, and you may lose money. The trades expressed are from historical data in order to demonstrate the potential of the system. |
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