Editor’s Note: You’re probably familiar with some of the terms used to describe market trends throughout the year: the January Effect, “sell in May and go away” and the Santa Claus Rally, etc. These terms refer to seasonal trends that have been observed in the market. And just like when you’re planting a garden, when there are specific times that plants should be harvested, the same is also true for stocks.
That’s where our corporate partner, TradeSmith, comes in. They’ve developed a tool that can help you find the best times to buy and sell a stock. And on January 8 at 10 a.m. Eastern, TradeSmith CEO Keith Kaplan will show you exactly how it works. You will even gain free access to the tool if you sign up for the webinar. So, click here to claim your spot.
But for now, I’ll let Keith explain more about the power of these seasonal patterns.
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Investors often hear about the Santa Claus Rally, the January Effect, and the advice to “sell in May and go away.” Market history tells us September brings declines and flash-crashes, while November through April are the best six months for profits from the S&P 500 each year.
Those are all examples of “seasonality” in the stock market: recurring periods of growth or weakness that happen with such astonishing frequency that they’ve become expected, annual events. Like handling plants in a garden, there are times to harvest, and there are times to sow seeds and wait for new growth.
But seasonality doesn’t just apply to the big indexes. Every stock has its own “seasons” to grow or decline. A kind of summer… and a kind of winter, too. Repeating year after year.
It’s fair to be skeptical: that level of consistency sounds too good to be true, right? If this was the case, why weren’t these patterns common knowledge?
Well, to put it simply: it takes a lot of data to identify seasonality trends in individual stocks. But when you see market seasonality in action, the strength of these trends can blow you away.
The Power of Market Seasonality
I was certainly surprised last fall, when one of our programmers here at TradeSmith emailed me with a simple request: to watch Nvidia’s stock on Oct. 24.
This programmer had been conducting historical research that projected that, starting that day, Nvidia was set to rise an average of 7.8% over the next 15 days. This pattern had occurred 100% of the time over the past 15 years.
So, I watched the stock. I didn’t know of any obvious catalyst for that day – no scheduled company announcement, no Fed meetings… No product demos… nothing.
But sure enough, on Oct. 24, 2024, Nvidia shot up – just as our programmer projected. Over the next 15 days, it rose 5.1%.
Now, I’m a data scientist – so immediately, I started asking questions.
And when I sat down with that programmer to discuss the results, he walked me through the data on NVDA’s price movements. Clear as day, for the past 15 years, Nvidia shot up during that 15-day time span, starting Oct. 24, every single year. There was a 100% hit rate across that period:
15 years – that stretches back all the way to 2009. Back then, Bitcoin had only just debuted, and the idea of an AI industry, or an AI trade… it was all science fiction at best.
Nvidia was just a company chugging along, making graphics cards for video games and media editors. But still, it kept rising in late October, regardless of news or attention… year after year.
Now, on its own, a 5.1% gain isn’t much.
But, if you could repeat that modest gain every 15 days, using consistent historical patterns like we saw with NVDA, that’s the equivalent of making 120% each year. More than doubling your money – while the S&P 500 averages an annual return of just 10.26%.
Each trade wouldn’t even have to be very large.
There are plenty more of these seasonality cycles waiting to be found out there, hidden in the data of thousands of different stocks. And my team has developed a new strategy to capitalize on them – built around a system that can track and chart the most optimal seasonality patterns of the year, like our own “Farmer’s Almanac” for the stock market.
I’ll be hosting a webinar to go into more detail on the strategy in January – and, leading up to it, I’m making our seasonality tool available so you can check these historical patterns yourself.
You can sign up to attend the webinar here – completely free – and after you sign up, make sure to try the tool for yourself.
It’s revolutionary, even compared to the rest of TradeSmith’s suite of software and investment tools. And it works on more than just Nvidia.
The Right Seasonality for Growing Profits
Our historical research showed that Tesla and Broadcom jumped each May. Advanced Micro Devices did great in November.
Allient was a great buy in October… but it was a bad idea to buy NeuroMetrix that same month.
Finding these opportunities took a lot of searching. So, I dedicated our entire research and development team – 74 people in total – to the task of serving up these cycles automatically.
The resulting algorithm runs 50,000 tests per day to analyze every single stock in the major indexes, find the ones with the strongest seasonality trends, and point us to the best opportunities – down to the day.
As we backtested this strategy, we realized that trading these stocks at their very best times of year wasn’t just a novel approach – it was an incredibly effective one.
Over our 18-year backtest, these seasonal trades delivered 857% in total growth: more than twice what the S&P delivered over the same period. Even in 2007, the strategy’s worst year, it delivered an annualized return of 37.9%.
Itworked year after year, pointing you to the best times to trade each stock.
Amazon (AMZN) is another great example. Between May 24 and July 13, AMZN has gone up 100% of the time over the last 15 years, with an average return of 10.26%:
If you bought shares at market close on May 24, 2024 for $180.75, selling at the end of the period on July 12 would’ve delivered 7.6% in profits… and if you’d sold near the seasonal peak on July 5, you would have earned 10.65%.
I could show you examples of these seasonal patterns all day. We’ve uncovered seasonality cycles in stocks, indexes, even currencies and commodities – and we’re one of the few firms that can crunch enough data, the right way, to identify the very best seasonal trades.
If we wanted to, we could easily launch a hedge fund of our own, built around this tool.
But at TradeSmith, we’re not interested in that type of business. Instead, we’re offering regular investors and traders access to try this powerful software.
Putting Power in Your Hands
By helping individual investors and traders determine the best day of the year to buy a stock… and the best day to sell – we’re giving everyone the chance to put the power of seasonality to work for them. Until Sunday, Jan. 8, you can click here to try our Trade Cycles seasonality tool – for free.
I’ve got plenty more to share about the tool and our full Trade Cycles service in the coming days.
You’ll also get to try TradeSmith’s Seasonality tool for yourself, free of charge for a limited time.
That way, you can start harnessing these powerful seasonal cycles, planning the entire trade in advance, so you can buy and sell with confidence.
All the best,
Keith Kaplan
CEO, TradeSmith
