Best Time of Day, Week and Month to Trade Stocks

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The best time to trade stocks, for anyone trading during the day, is usually the first hour after the 9:30 a.m. ET open and the last hour before the 4 p.m. ET close. Those are the periods when volume and price movement are concentrated. The middle of the session is typically calmer.

For the best day of the week or month of the year, the answer is less exciting. Historical S&P 500 data does show calendar patterns: Tuesdays, the first few trading days of each month, the session before a long weekend, and November have been relatively strong, and September has been relatively weak. Most of these differences are measured in hundredths of a percent per day. That is small compared with ordinary daily swings and, in most cases, smaller than the cost of trading to capture them.

Why trading costs set the bar for any timing pattern

Every timing idea has to clear a cost hurdle before it is worth acting on. The bid-ask spread is the first part of that hurdle. You buy at the ask, sell at the bid, and lose the difference on the round trip.

For the largest S&P 500 companies, the spread has been estimated at about 0.025% (2.5 basis points) to buy or sell. For a portfolio tracking the full index, the estimate is about 0.045% (4.5 basis points). Those figures are per side. Capturing a timing effect means entering and exiting, so the round-trip cost is roughly double: about 0.05% to 0.09%, or 5 to 9 basis points.

A worked example shows what this means. Assume a strategy that buys the index at one close and sells at the next to capture a single day’s return. Assume a round-trip spread of 0.09%. If that day’s historical average return is 0.06%, the expected result after spreads is about 0.06% minus 0.09%, or a loss of 0.03% per trade. Commissions are excluded here, and so are taxes on short-term gains and slippage beyond the quoted spread. Each of those makes the result worse.

That is the frame for every number below. A pattern can be real in the historical record and still be unprofitable to trade.

Best time of day to trade stocks

The regular U.S. stock market session runs from 9:30 a.m. to 4 p.m. Eastern time on weekdays, excluding market holidays. Within those six and a half hours, activity is not spread evenly.

The opening hour: 9:30 to 10:30 a.m. ET

At the open, the market has to absorb everything that happened since the previous close. That includes earnings released after the bell, overnight economic data, news from Asian and European markets, and orders that built up while the exchange was closed. All of it gets priced in at once, which is why the first hour often produces the day’s largest moves in the shortest time.

Many professional day traders concentrate on this window for that reason. The same features that create opportunity also create risk. Prices can gap past stop levels, reverse sharply, or move before slower orders are filled.

The opening bell is also when the day’s contests between buyers and sellers begin, as overnight orders meet the first wave of reactions to the news. The direction of the first few minutes does not reliably predict the rest of the day.

The midday lull

By around 11:30 a.m. ET, volatility and volume often drop noticeably. Many day traders close their positions by then because the easier moves have already happened. Lunchtime trading tends to be range-bound, with smaller swings and thinner participation.

For a longer-term investor placing a single buy order, a calmer market can be an advantage. Prices are less likely to jump around between the moment you decide and the moment your order fills. For a short-term trader who depends on movement, midday is often the least productive part of the session.

The final hour: 3 to 4 p.m. ET

Activity typically picks up again in the last hour. Institutional investors adjust positions before the close, day traders exit so they are not holding overnight, and late-breaking news gets one more chance to move prices. Like the open, this window offers opportunity alongside higher risk.

The closing price itself carries weight. It is the price used for many index fund valuations and daily performance figures. Exchanges run a closing auction to set it, and many brokers let you submit orders designed to execute at that closing price.

Is there a time of day when stocks usually dip low?

No fixed time of day reliably produces the day’s low. Highs and lows tend to form when activity is concentrated, most often near the open or the close, but whether a given stock bottoms in the morning or the afternoon depends on that day’s news and order flow, not on the clock. What is consistent is volatility, not direction: the first and last hours move more and midday moves less. So the worst time of day to buy depends on your goal. A long-term investor who wants a clean fill has the least reason to place a market order in the opening minutes. A trader who needs movement has the least reason to trade over lunch. Short-term traders use support and resistance and candlestick charts to read where a low is forming on a given day.

Converting market hours to Central and other time zones

U.S. stock market hours are set in Eastern time, so traders elsewhere need to shift the windows:

• Central time: the session runs 8:30 a.m. to 3 p.m. CT. The opening hour is 8:30 to 9:30 a.m. CT and the closing hour is 2 to 3 p.m. CT.
• Mountain time: 7:30 a.m. to 2 p.m. MT.
• Pacific time: 6:30 a.m. to 1 p.m. PT.

For traders who also follow currencies, U.S. economic releases at 8:30 a.m. ET can move both markets before stocks even open, which the overlap with the forex trading sessions explains.

Pre-market, after-hours and overnight trading

Regular hours are not the only hours. NYSE Arca, the NYSE’s electronic exchange where a large share of trading is in ETFs, already runs sessions from 4 a.m. to 8 p.m. ET on weekdays, before and after the regular session. Many retail brokers offer access to some or all of that window.

The NYSE has also announced plans to extend weekday trading on NYSE Arca Equities to 22 hours a day, from 1:30 a.m. to 11:30 p.m. ET. The plan required SEC approval, so its current status is worth confirming with the exchange or your broker. The exchange framed the move as giving investors in other time zones access to U.S.-listed companies and funds. It also responds to domestic demand for round-the-clock access of the kind crypto markets already offer.

Separately, some brokers offer overnight trading by matching customer orders through alternative trading systems, including dark pools, or with venues overseas where it is daytime.

Longer hours could change the shape of the trading day in three ways:

• More event-driven moves outside the regular session. Investors could react to overnight news as it happens rather than waiting for the open. That could ease some of the order pile-up at 9:30 a.m.
• More liquidity in previously quiet hours, if enough participants join.
• More volatility in thin periods. When few traders are active, a single large order can move the price more. Spreads in extended sessions are often wider than in regular hours.

Evidence from other markets that have lengthened their trading day is limited, so these are expectations rather than measured outcomes. For now, the practical rule for extended-hours trading stays the same. Use limit orders, expect wider spreads, and remember that a price printed at 6 a.m. may not hold once the full market opens.

Best day of the week to buy or sell stocks

Where the Monday effect came from

The idea that Mondays are bad for stocks has a long history. A 1973 study by Frank Cross in the Financial Analysts Journal found that stocks tended to do best on Fridays and worst on Mondays. The finding became Wall Street folklore and is still repeated.

Two explanations usually come with it. One is that companies and governments release bad news over the weekend, so it hits prices on Monday. The other is investor mood: people return to work in a worse frame of mind, and that shows up in early Monday trading. Both stories are plausible, but the data that produced the original finding is now decades old.

What 2000 to 2024 data shows

An analysis of S&P 500 closing prices from 2000 to late 2024, covering more than 6,200 trading days, produced these average daily returns by weekday:

The overall average daily return across the period was 0.030%. On these numbers, Tuesday has been the best day of the week to buy stocks historically. Monday and Friday tie as the weakest. The old pattern of strong Fridays did not survive into this period.

These findings cover the broad market of large companies. Narrower corners of the market, such as small caps or individual sectors, could behave differently.

Why the weekday differences don’t translate into an edge

A ranking is only meaningful if it stands out from the noise. Three checks suggest it does not:

• Volatility dwarfs the gaps. The standard deviation of daily returns ranged from 1.12% to 1.34% depending on the weekday. That is about 20 times larger than the differences between the days. A single ordinary Tuesday can easily fall 1% while a Monday rises 1%.
• The odds of an up day barely change. The share of positive days ranged from 52% to 54% across weekdays. Any given day has roughly the same chance of closing higher.
• Most of the variation sits within statistical noise. The individual day averages fall close to the 0.030% overall mean once the spread of daily returns is considered.

Compare the numbers with the cost hurdle. Tuesday’s 0.062% average is below the 0.05% to 0.09% round-trip spread range for a full-index portfolio, before taxes. A strategy of buying on Monday’s close and selling on Tuesday’s close would, on average, hand most or all of the historical edge to the spread.

Whether you are selling on a Friday or buying on a Monday, the weekday matters far less than what you buy and the price you pay. The same applies to ETFs and index funds. An S&P 500 fund carries the same weekday pattern as the index, so the best day to buy an index fund is whichever day fits your regular contribution schedule.

Trading before and after long weekends

The long-weekend pattern is stronger than the weekday pattern. The same 2000 to 2024 S&P 500 data, covering 196 long weekends and holiday closures such as Thanksgiving, Christmas and three-day weekends, showed:

• Last trading day before a long weekend: average daily return of +0.185%
• First trading day after a long weekend: average daily return of −0.059%
• Regular trading days: average daily return of +0.033%

The pre-holiday session averaged roughly five to six times a normal day. The share of positive days points the same way: about 55% before long weekends, about 54% on regular days, and about 50% after long weekends. With nearly 200 occurrences over about 25 years, the sample is reasonably large.

This is the one calendar effect here that clears the spread hurdle on paper. A 0.185% average is above a 0.09% round-trip spread. Several things still stand in the way of turning it into a strategy:

1. Costs eat most of it. Subtract a round-trip spread and the average edge shrinks to around 0.1% per occurrence, before commissions and slippage.
2. Taxes. Positions held for one day generate short-term capital gains in a taxable account. In the U.S., those are taxed at ordinary income rates, which can wipe out a small gain.
3. Execution and discipline. The strategy requires being in the market for every pre-holiday session and out afterward, year after year. An average of +0.185% includes losing days, and about 45% of pre-holiday sessions were not positive.

The more practical takeaway runs the other way. If you already plan to buy, the session just before a long weekend has historically been a slightly worse day to do it than the session after.

Best month to buy or sell stocks

The strongest months

In the 2000 to 2024 S&P 500 data, November was the strongest month, with an average daily return of 0.107% and positive returns 57% of the time. April and July came next. The same ranking held when the window was extended back to 1928.

Measured cumulatively, the effect looks larger. An investor who held the index only during Novembers from 2000 to 2024 would have gained about 54% in total, which is about two years’ worth of months. An investor who held only during Septembers would have lost about 37%.

September and the other weak months

September has earned its reputation. Its average monthly return was −1.53% from 2000 to 2024 and −1.13% from 1928 to 2024. It was also the only month in which stocks fell more often than they rose, with 49.9% positive days.

February and June were also weak, with average daily returns of −0.023% and −0.010%, respectively.

The January effect has faded

The January effect is the long-held view that stocks, especially smaller ones, rally at the start of the year. Back to 1928, January averaged a gain of 1.17%. Since 2000, it has averaged −0.15%. Whatever drove the effect in earlier decades has not shown up in the recent large-cap record.

October: strong on average, choppiest in practice

October carries a reputation for crashes. The Wall Street Crash of 1929 and Black Monday in October 1987 both happened that month. The average returns do not support the fear. October gained 1.34% on average per month since 2000 and was positive 53% of the time.

Where October does stand out is volatility. From 2000 to 2024, it was the most volatile month, about 20% more volatile than September and 15% more than November. It has not typically been a losing month, but it has been the bumpiest.

How actionable are the monthly differences?

Not very, on their own. Day-to-day market swings are much larger than the gaps between monthly averages. Even in November, the market regularly moves up or down by more than its typical monthly gain.

A November average does not stop a given November from falling. A bad September record does not mean this September will decline. Selling every September and buying back every October would also mean four round-trip trades’ worth of spreads per year and possible taxable gains, all to capture an average that individual years often contradict.

Best time of the month: early-month returns

The early-month pattern is one of the more consistent effects in the record. From 2000 onward, the first five trading days of each month produced an average daily S&P 500 return of +0.084%. The rest of the month averaged +0.019%, so the early days averaged more than four times the later days.

The result does not depend on a few extreme days. Median daily returns, which are less affected by outliers, were +0.121% in the first five trading days versus +0.049% for the remainder. The share of positive days was 56.4% early in the month versus 53.0% later.

Why the start of the month might be stronger

One plausible explanation is the timing of regular money flows. Paychecks, 401(k) contributions and institutional rebalancing often cluster near the start of each month. When that new money is invested, it may create steady buying pressure that lifts prices slightly. This is a hypothesis consistent with the data, not a proven cause.

The early-month advantage, about 0.065% per day, is no larger than a typical round trip in spreads. Buying at the start of every month and selling after day five would hand most of it back in costs.

For someone who invests the same amount every month anyway, the pattern costs nothing to consider. Scheduling the contribution a few days earlier or later changes little either way. If there is a historically best day of the month to buy stocks, the record points to the last trading day of the prior month or the first day of the new one, ahead of the stronger stretch. The advantage is small enough that consistency matters far more than the date.

How to use calendar patterns without overtrading

For long-term investors, the calendar mostly argues against trying to time it. A systematic approach such as dollar-cost averaging fits the evidence better. You invest a fixed amount at regular intervals regardless of market conditions, so your purchases are spread across many entry points. That reduces the impact of buying at a bad moment and removes the temptation to chase effects worth a few basis points.

It also matches how most people already invest, through regular contributions to an IRA, a 401(k) or a brokerage plan. The research into the company or fund, its financials, its sector and the wider economy will do more for your results than the hour or the date.

For active traders, time of day matters far more than day of week or month. The concentration of volume and volatility in the opening and closing hours changes how fast positions move, how wide spreads are, and how often stops are hit. Styles such as scalping depend on that intraday rhythm, and newcomers can practice the open in a stock market simulator before risking money.

For everyone, a few practical habits follow from the mechanics:

• Use limit orders in the opening minutes and in extended hours, when prices move fast and spreads can be wider.
• Treat the pre-holiday and early-month effects as tie-breakers for timing a purchase you were already going to make, not as reasons to trade.
• Remember that any pattern found in past data may not hold in the future, especially after it becomes widely known.

Why calendar anomalies fade

Effects like the Monday effect and the January effect are known as market anomalies. They were long cited as evidence against the efficient market hypothesis, the theory that prices quickly reflect available information. Research by G. William Schwert and others found that many anomalies weakened or disappeared after they were published.

The mechanism is simple. Once traders know a pattern exists, they act on it. They buy ahead of the expected rise and sell into it, which pulls the gain forward and shrinks it until little is left. Automated and algorithmic trading speeds up that process.

Folk indicators and stranger calendar effects

“Sell in May and go away” suggests that stocks underperform from May through October and that investors should step aside until November. November’s strength fits part of the story. July’s place among the strongest months in recent data, and October’s average gains, cut against it.

The Super Bowl indicator holds that the market rises in a year when a team from the original NFL (now the NFC) wins and falls when an AFC team wins. Despite an accuracy rate above 80% for many years, it is the standard example of correlation without causation.

Other claims, such as the presidential election cycle and lunar phases, have shown statistical significance in some historical periods. None has proved reliable enough to trade after spreads and other costs.

FAQs

The Bottom Line

Active traders have the most reason to care about timing, since the opening and closing hours shape how fast prices move and how often stops are hit. Long-term investors gain little from weekday, monthly or holiday patterns, which are mostly too small to beat spreads and taxes. A regular contribution schedule, limit orders in fast markets and careful research into what you buy matter far more than the calendar.