Seasonality and Event-Driven Trades in ETFs: How to Spot Recurring Trading Opportunities

Much of the market’s reaction has historically come before the Fed speaks. From 1994 to 2011, the S&P 500 averaged a +0.49% excess return in the 24 hours ahead of scheduled FOMC announcements, versus roughly zero on other days. The drift has weakened since around 2015.
Regarding the announcement itself, if the Fed were to hike rates, tech stocks generally will decline. They’re heavily reliant on long-term, future earnings and the valuation of such future earnings is discounted more heavily at higher rates. High debt load small-cap stocks who are exposed to variable rates would also likely underperform the market.
Treasury bonds that were issued at lower rates will lose value when rates rise. Rates and bond prices move inversely in finance; it’s one of the few iron laws. But even if the Fed doesn’t raise rates, if they issue a Dot Plot where the Fed indicates they expect higher rates later this year, these same market dynamics will generally occur.
Whether the FOMC adopts a more hawkish or dovish stance will depend on the CPI. CPI = Consumer Price Index, which measures the change in inflation, and is issued monthly. Higher inflation usually correlates with the need to hike rates, which will negatively affect the stock market. At the same time, newly issued treasury bonds start looking more attractive at higher rates. The price of gold, oil, and other commodities tend to rise in periods of rising CPI, though the commodity to CPI relationship is complicated and multifaceted.
Earnings Season
At the end of every quarter, most public company will issue a report summarizing revenue, earnings per share, and their forward-looking expectations for the next quarter. In many sectors, this will have a significant impact on the broader market as well, particularly in ETFs that are very focused on a given sector, with technology being the most prominent example. That’s because in technology there are so many mega-cap companies that dominate the entire index.
If one or more of these mega-cap names misses the analyst targets, stock prices can drop hard and fast. I’ve noticed that broad-market ETFs barely move on earnings, while sector-concentrated ETFs can swing 5% or more in a single session when a marquee name misses. Even though broad-market ETFs are somewhat shielded, the end-of-quarter reporting cycle continues to influence the overall market direction through storytelling. Articles carrying headlines like “corporate margins are under pressure” or “consumer spending is down” are likely to influence sentiment for the week that follows.
Structural Flows
Aside from annual tendencies and macro factors, there are several institutional events that occur routinely and involve significant flows of capital and generate unique trading opportunities:
Index Rebalancing
An index will deliberately choose specific stocks to include based on stringent criteria, e.g. a minimum market cap, liquidity requirements, and financial viability. And then, every so often, those stocks are reviewed and either re-selected or re-excluded. Stocks which no longer adhere to the criteria are dropped from the index, and, if applicable, new stocks are brought on to fill those slots.
This is referred to as an index rebalancing (or reconstitution) and happens on established, pre-determined days. The S&P 500 reconstitutes on a quarterly basis. The Russell indexes have historically reconstituted on an annual basis, but, beginning in 2026, FTSE Russell is switching to a semi-annual basis.
Because every single index-tracking fund will be forced to reconstitute at the same time, reconstitutions become massive buying/selling events which can cause short-term mis-pricings of stocks. It’s happened at every single Russell reconstitution that I have witnessed: the front-running is real and predictable, and knowing which stocks are likely to be dropped from major indexes is possible for traders who take the time to study the publicly available reconstitution criteria.
Options Expiry Dates
There are options expiration dates that happen every week, month, and quarter. And for most options, they’re monthly and expire on the third Friday of each month. That leads to predictable, recurring fluctuations in prices.
As an options expiration date approaches, market makers must buy or sell shares of the underlying stock to hedge. With market makers buying/selling aggressively to do this, a stock’s price is more likely to stagnate, which is when the stock will likely be seen to trade sideways as the expiration date approaches. This is not a naturally occurring trading action; it’s the effect of artificial forces caused by hedging flows.
However, as those contracts expire, the stock price might surge and could rise or fall rather quickly in either direction. The sideways trading might have been masking underlying trading issues that then resurface once more. I have learned to exercise extra caution around monthly OpEx, which often brings outsized price movements that happen shortly after expiration.
Tax-Loss Harvesting
Tax-loss harvesting often occurs at the year’s end, most notably in November and December. This is where investors offload losers in order to offset some of the gains made from their winning stocks. In the US, investors can usually offset their regular income tax burden by up to $3,000 per year using losses.
You must sell your losers prior to the start of the new year to offset any losses, which is why most traders will execute sells a few days before the end of the year. Most tax-loss harvesting occurs prior to the Santa Rally, which means that this usually places predictable downside pressure on stocks that have done poorly over the year as a result of many investors offloading the same stocks all at once.
Yet, it does create one of my favorite seasonal patterns. In fact, beaten-down stocks tend to rebound in January once investors are free from year-end pressure and they start buying the same or similar ETFs. The IRS wash-sale window prohibits a tax deduction if you buy back the same security within 30 days after selling it, so many investors either sit and wait for the window to close, or they purchase similar, albeit not identical, alternative ETFs.
In January, tax-loss selling pressure on beaten-down stocks at the end of the year is often reversed; small caps have outperformed large caps on the back of it. The magnitude of that edge has depended on the period and diminished as markets became more efficient. While tracking the Jan bounce was one of the more reliable seasonal patterns I have been able to follow, the magnitude of the effect as you can see has declined through time as markets became more efficient. I am sure it is fair to say that tax-loss selling arbitrage trades are no longer like it was in the 1980s, but the directional pattern is present and, with other seasonal tendencies, can be a useful component of the framework.

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