What New Year’s Resolutions Reveal About Market Timing

What if higher investing had much less to do with prediction and extra to do with timing?

That’s the core thought behind as we speak’s Friday Digest takeover from TradeSmith CEO Keith Kaplan.

By analyzing a long time of market knowledge throughout 1000’s of shares, Keith and his workforce of information specialists uncovered one thing stunning: extremely dependable seasonal home windows – particular durations when sure shares are inclined to rise, whereas others stall or fall. Keith calls these moments “inexperienced days.”

These seasonal home windows don’t depend on broad market clichés like “Promote in Could.” They’re stock-specific patterns, recognized all the way down to the day, and examined throughout a number of market cycles. In long-term backtests, trades based mostly on these seasonal home windows dramatically outperformed the broader market – even holding up throughout traditionally tough years.

In his piece under, Keith explains:

• Why seasonality has formed markets for generations
• How fashionable knowledge lastly permits traders to measure it exactly
• Why understanding when to behave might matter greater than any single market forecast

He additionally shares why the subsequent few weeks could possibly be particularly essential, and why one late-January date might open the door to a very compelling alternative. For those who’re in search of a quantitative edge to the markets, as we speak’s Digest is for you.

And you should definitely mark your calendar for Keith’s Prediction 2026 occasion this coming Tuesday, January 20, at 10 a.m. Japanese, the place he’ll dive deeper into these patterns and how one can put them to work in your portfolio. You can register right here.

I’ll let Keith take it from right here.

Have a great night,
Jeff Remsburg

For those who’re like tens of millions of different Individuals, you most likely made a New 12 months’s decision just lately.

Possibly to avoid wasting extra, lower down on energy, or spend extra time within the health club.

In that case, right here’s an uncomfortable fact…

How lengthy you follow that decision has much less to do with self-discipline than timing.

You see, most individuals don’t abandon good intentions at random. They do it on a schedule.

That concept first caught the eye of a Wharton professor named Katy

Milkman within the early 2010s. She wasn’t involved in motivational speeches or willpower. She targeted on one thing narrower – and stranger. Not why folks resolve to vary, however when.

What she discovered was remarkably constant. Selections to weight-reduction plan, train, save, or make investments didn’t unfold evenly throughout the yr. They clustered tightly round a handful of dates: Mondays, the primary day of the month, birthdays, and – above all – January 1.

To check the sample, Milkman and her colleagues checked out health club check-ins, Google searches, and enrollment data for self-improvement programs.

Proper after these so-called “recent begin” dates, effort surged. Diets started. Financial savings plans had been opened. Health club attendance spiked.

Then, simply as reliably, it pale.

The perception wasn’t that folks lack willpower. It was that human conduct runs on a calendar. Motivation rises and falls on a schedule, whether or not we discover it or not.

When you see that, an much more fascinating query follows: If particular person choices surge and retreat at predictable moments, what occurs when tens of millions of individuals make these shifts directly?

Markets, in any case, are nothing greater than the sum of these choices.

It’s a query my workforce and I at TradeSmith got down to reply in 2024 with the assistance of 1000’s of strains of pc code and quintillions (billions of billions!) of market knowledge factors.

Closing the Hole With Wall Road Elites

For those who don’t know us already, TradeSmith is the creator of a number one monetary expertise platform, based mostly in Baltimore, Maryland.

In the present day, we assist greater than 134,000 folks all over the world monitor greater than $29 billion in belongings. And Forbes, The Wall Road Journal, and The Economist have profiled our breakthroughs.

We’ve constructed instruments to assist on a regular basis traders observe portfolios, handle threat, and spot alternatives. We’ve even created, examined, and launched a well-liked AI-trading mannequin.

We had been assured we’d discover some seasonality patterns in how shares commerce. However what we found shocked even us.

It seems that 1000’s of shares confirmed traditionally dependable home windows – particular occasions of the yr once they tended to rise, and others once they tended to stall or fall.

We name them “inexperienced days.”

And based mostly on these inexperienced days, we constructed a buying and selling system designed to behave on them – pinpointing bullish seasonal home windows on roughly 5,000 shares, all the way down to the day. In backtests, these trades succeeded with an 83% historic accuracy charge.

You’ll be able to check out our software program on the shares you personal by registering for a free, limited-time trial version here. We’re making it accessible forward of our Prediction 2026 occasion, all concerning the seasonal patterns you want to pay attention to as we kick off the yr.

First, it helps to grasp that seasonality isn’t some new invention. It’s formed markets for a very long time.

Merchants Have All the time Tracked Cycles

Commodity merchants have at all times tracked planting and harvest cycles. Vitality markets transfer with heating and cooling demand. Gold has lengthy proven seasonal energy tied to jewellery demand and annual shopping for patterns in India and China.

Inventory traders, too, have observed calendar results.

The January Impact. Quarter-end rebalancing. Even the outdated saying “Promote in Could and go away.”

What’s modified isn’t that seasonality immediately appeared. It’s that we will now measure it exactly – throughout particular person shares, over a long time of information, and all the way down to particular days.

Take Goal (TGT).

For all of the volatility surrounding the retailer lately, one sample has held with hanging consistency. Between June 22 and July 21, Goal inventory has risen a mean of 5.2%, climbing 100% of the time over the previous 15 years.

That sample held once more in 2025, when the inventory gained 10.3% throughout its seasonal window – lengthy after pandemic-era distortions pale.

Residence Depot (HD) reveals an identical rhythm.

Between June 15 and July 27, the inventory has risen 93% of the time over the previous 15 years, with a mean achieve of 4.7%. In 2025, it adopted the identical script, rising 6.7% in simply over a month.

These aren’t one-off coincidences. They’re examples of a broader phenomenon that solely turns into seen whenever you analyze markets by way of the lens of timing reasonably than narrative.

Utilizing our Seasonality instrument, we’ve examined this method throughout 1000’s of shares, indexes just like the S&P 500 and Nasdaq, and even currencies and commodities.

Over an 18-year backtest, seasonal trades generated 857% complete progress – greater than double the S&P 500’s return over the identical interval.

Even in 2007, the weakest yr within the take a look at, the technique produced a optimistic return, with features of greater than double the S&P 500 over the identical time.

Circle These Dates on Your Calendar

That’s why we’ve made a model of our Seasonality software available for you to explore now.

We’ve unlocked entry so you may see the seasonal “inexperienced days” for 1000’s of shares your self forward of our Prediction 2026 event.

It kicks off Tuesday, January 20, at 10 a.m. Japanese. And I hope you’ll be part of me. I’ll be stepping into extra element concerning the fast-approaching seasonality patterns you want to pay attention to.