Markets often feel chaotic in the moment, but history tells a more structured story. In this guide to stock market probability statistics, we break down the historical odds behind daily market moves, corrections, bear markets, bull runs, seasonality, volatility, and long-term returns—helping traders and investors better understand what market data can (and cannot) reveal about risk, opportunity, and probability.

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What are the odds the stock market finishes green tomorrow?

How often do major crashes actually happen?

What’s the probability of seeing a 10% correction in any given year?

For traders and investors alike, these questions sit beneath almost every market decision.

Markets often feel chaotic in real time, driven by headlines, earnings surprises, economic shocks, and emotion. But zoom out, and historical data reveals recurring patterns that can help frame FOMO, expectations, risk, and opportunity.

For example, the S&P 500 has historically finished positive in roughly 53%–55% of all trading sessions—that’s hardly a guarantee tomorrow will be green, but enough to show that market behavior is often less random than it feels in the moment.

In this article, we’ll break down the stock market probability statistics that matter most to active traders and investors, covering everything from green trading days and market corrections to seasonal trends, bear market recoveries, and long-term return probabilities.

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Key Stock Market Probability Statistics 2026

Of course, probability is not certainty. Markets have a habit of humbling anyone who mistakes historical odds for guarantees—but understanding the numbers can still help you make smarter decisions in an uncertain environment.

• The S&P 500 has historically finished positive in roughly 53%–55% of all trading days
• The stock market experiences a 10%+ correction roughly every 1–2 years on average
• More than 70% of market corrections do not become full bear markets
• The average stock market correction decline is approximately 13%–15%
• Bear markets historically occur roughly every 5–7 years
• The S&P 500 has finished positive in approximately 73% of calendar years since 1928
• September has historically been the worst-performing month for U.S. equities
• The Santa Claus rally has historically produced positive returns roughly 79% of the time
• Bull markets have historically lasted approximately 4–6 years on average
• The S&P 500 has historically delivered average annual returns of roughly 10% including dividends
• The S&P 500 experiences roughly 50–70 trading days per year with moves of 1% or more
• The average bear market decline is approximately 30%–35%
• The average bear market lasts roughly 9–10 months
• The third year of the presidential cycle has historically produced the strongest average S&P 500 returns
• The S&P 500 has posted positive returns in roughly 75% of U.S. presidential election years
• The 12 months following midterm elections have historically delivered average returns of 15%+
• After the 2022 bear market, the S&P 500 gained approximately 75%–80% cumulatively through the end of 2025
• The S&P 500 has historically produced positive returns across essentially 100% of rolling 20-year periods (with dividends reinvested)

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Daily Stock Market Probability Statistics

While markets can feel wildly unpredictable in real time, daily stock market behavior is often more statistically consistent than most traders realize.

From the percentage of green sessions to the frequency of sharp selloffs, historical market data offers useful context for understanding what “normal” actually looks like.

What Percentage of Trading Days Are Green?

While red days can be scary, it’s a well-known fact that the stock market goes up more often than it goes down—but it’s not quite by as much as many investors assume.

Historically, the S&P 500 has finished positive in approximately 53% to 55% of all trading sessions, depending on the timeframe measured. That means the market’s edge on any single day is surprisingly modest.

This matters because many traders subconsciously assume markets “usually” go up in a meaningful sense. In reality, daily market direction is close to a coin flip, with only a slight bullish tilt.

For active traders, this reinforces an important idea: market bias alone is not a trading edge.

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How Often Does the Market Move More Than 1%?

While green days do happen only slightly more often than red days, big daily moves happen more often than most newer traders expect.

Since 1950, the S&P 500 has averaged roughly 50–70 trading days per year with moves greater than 1%, though volatility regimes vary dramatically. During calm bull markets, 1% sessions may be relatively rare. During crisis periods like 2008 or 2020, they become routine.

For perspective:

• In calmer years, 1% move days may account for 10%–15% of sessions
• In volatile years, that can jump above 25%–30%

Inexperienced traders often mistake volatility spikes for “abnormal” market behavior when, historically, sharp moves are a recurring feature of equity markets—not an exception.

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How Rare Are 2% Selloffs?

A 2% down day feels dramatic—but historically, it’s far from unheard of.

The S&P 500 typically experiences a handful of 2%+ down sessions each year, though the exact number varies significantly by market environment.

For example, during low-volatility bull markets, it’s often between 0 to 3 times per year. However, during crisis regimes, this number can jump up to as many as 10+ occurrences in any given year.

So, what does that mean for traders and investors?

Sharp selloffs feel rare because they’re emotionally memorable—not because they’re statistically impossible. They do happen a handful of times throughout the good years, and they can be quite frequent during bad years.

That context helps traders avoid overreacting when volatility expands.

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What Are the Odds of Consecutive Red Days?

Another important statistic that often throws inexperienced traders off is that losing streaks happen often.

Because daily market direction is close to random (53-55% of the time) in the short term, multiple consecutive red days are completely normal.

Approximate probabilities assuming near-random daily outcomes:

• 2 red days in a row: ~20%–22%
• 3 red days in a row: ~10%–12%
• 5 red days in a row: ~2%–4%

While real market behavior is not perfectly random (momentum and macro catalysts matter), the broader point remains:

Short losing streaks are statistically normal—and they’re far from a signal of structural breakdown.

That’s a useful perspective for traders prone to emotional overinterpretation after a few ugly sessions.

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How Often Do Gap Ups and Gap Downs Reverse?

Gap reversals are one of the most tempting patterns for active traders—but probabilities vary massively depending on context.

A small overnight gap during a quiet market behaves very differently than an earnings-driven gap with institutional participation.

Historically:

• Small index gaps often partially fill intraday
• Strong catalyst-driven gaps are more likely to continue
• High-volume breakaway gaps tend to reverse less frequently than exhaustion gaps

For traders, this is where raw probability becomes context-dependent. A gap itself is not the edge. The catalyst, volume, broader trend, and market structure determine whether continuation or reversal is statistically favored.

And perhaps more importantly, trading the probability of successfully trading gaps, whether up or down, depends more on risk management and one’s trading psychology than anything else.

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Stock Market Correction & Crash Statistics

Market corrections and crashes feel rare when you’re living through them—but historically, they’re a normal part of investing.

Sharp drawdowns, 10% pullbacks, and even full bear markets have occurred repeatedly throughout market history. The bigger question isn’t if they happen—it’s how often, how deep, and what typically comes next.

What Is the Probability of a 10% Correction in Any Given Year?

If a 10% correction feels unusual, history says otherwise.

Since 1928, the S&P 500 has experienced a 10%+ correction roughly once every 1–2 years on average, making them far more common than many investors assume.

In fact, temporary double-digit declines are one of the most recurring features of long-term equity investing.

Even more interesting: most corrections don’t spiral into full market collapses.

Historical data shows that 70%+ of stock market corrections do not become bear markets, meaning the majority of 10% pullbacks eventually stabilize and recover without crossing the 20% threshold that defines bear territory.

That matters because many investors interpret a 10% decline as the start of financial disaster—when statistically, it’s often just normal market turbulence.

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How Often Do Bear Markets Happen?

Bear markets are far less common than corrections—but they’re still a recurring reality.

Historically, the S&P 500 has entered bear market territory (defined as a decline of 20% or more from recent highs) approximately once every 5–7 years, though timing varies widely depending on economic conditions.

For context:

• Corrections (10%+): every 1–2 years
• Bear markets (20%+): every 5–7 years
• Major crashes (30%+): much less frequent

This gap is important. A broad market correction is relatively routine. A bear market is materially more severe—and more importantly, statistically much less likely.

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What Is the Average Bear Market Decline?

From the Great Depression to the 2008 Financial Crisis, not all bear markets are created equal. Historically, the average S&P 500 bear market decline lands in the 30%–35% range, though outcomes vary dramatically depending on the trigger.

For comparison:

• Average correction decline: 13%–15%
• Average bear market decline: ~34%
• Severe crash examples: 50%+ drawdowns

A standard correction feels painful in the moment—but historically, it’s nowhere near the damage caused by true bear market regimes.

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And realistically, for traders and investors with longer time frames, a bear market decline can often be the best thing that’s ever happened to their portfolio.

As they say: “more millionaires are made during a recession than at any other time.”

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How Long Does It Take the Market to Recover?

This is where investor psychology gets tested.

Historically, the average bear market itself lasts roughly 9–10 months, where as the average bull market lasts between 4 to 6 years. However, full recoveries back to prior highs often take considerably longer than 10 months depending on severity.

Examples:

• COVID crash (2020): recovery in about 5 months
• 2008 financial crisis: roughly 5.5 years
• Dot-com crash: approximately 7 years

The lesson here?

Not all recoveries are created equal. Fast rebounds happen—but assuming every crash becomes a V-shaped recovery is dangerous.

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Biggest Historical Stock Market Drawdowns

While most market corrections do NOT become bear markets, others become defining financial events and serious crashes.

Here are some of the largest S&P 500-era drawdowns:

It’s true that major market crashes are statistical outliers—but they’re also reminders that deep losses are part of market history. For traders, this matters because it helps separate normal correction risk from true systemic breakdowns.

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Bull Market Probability Statistics

While crashes and corrections dominate headlines, history tells a much more optimistic story for long-term market participants.

Bull markets tend to last longer, produce stronger cumulative gains, and occur far more often than many fearful investors realize.

What Are the Odds the Market Finishes Green in a Calendar Year?

Despite short-term volatility, the stock market has historically rewarded patience.

In fact, since 1928, the S&P 500 has finished the calendar year positive roughly 73% of the time, meaning that nearly 3 out of every 4 years have ended in the green.

That’s a powerful reminder that while daily market direction may feel random, the longer the timeframe, the stronger the historical upward bias becomes.

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What Are the Odds of Back-to-Back Positive Years?

Winning years often cluster more than investors expect. Inexperienced traders and investors often fear that stocks finish up during a good year, a bad year is “sure” to happen.

In some ways, this belief is a function of mean-reversion. However, looking at long-term S&P 500 return history, consecutive positive years are far from rare.

In fact, the market has frequently delivered multi-year winning streaks, including stretches of 5+ consecutive positive years quite often.

Examples:

• 2009–2014: 6 straight positive years
• 2016–2021: 6 positive years out of 7
• 1991–1999: one of the strongest extended bull runs in history

The takeaway?

A strong year does not automatically mean weakness is imminent. On the contrary, often, traders and investors can look at a strong year in the stock market as a sign that the good times might keep on rolling!

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How Long Do Bull Markets Usually Last?

While bear markets are statistically short, bull markets tend to outlast the pessimism.

Historically, the average bull market has lasted approximately 4 to 6 years, with some cycles extending dramatically longer depending on current economic and geopolitical conditions.

Notable examples:

• 2009–2020 bull market: ~11 years
• 1987–2000 expansion: over a decade
• Post-WWII bull cycles: multiple multi-year expansions

This helps explain why investors who constantly wait for “the next crash” often miss substantial upside. I’m looking at you, Michael Burry.

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What Happens After Negative Market Years?

Bad years often create stronger forward return expectations.

Historically, the S&P 500 has frequently rebounded after negative calendar years, with positive follow-through being more common than continued weakness.

This includes:

• After the 2008 crash (-37%), 2009 returned roughly +26%
• After the 2022 bear market (-18%), 2023 delivered a strong rebound of roughly +24% to +26%, depending on whether you’re looking at price return or total return.
• From the end of the 2022 bear market through the end of 2025, the S&P 500 delivered a cumulative price return of roughly +76%.

Historically, deep losses have often reset valuations and improved future return potential. For traders and investors alike, this reinforces a useful mindset that painful years are often the setup—not the ending.

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Seasonal Stock Market Probability Statistics

Markets may be unpredictable in the short term, but certain seasonal patterns have shown up often enough throughout history to earn traders’ attention.

While seasonality should never be treated as a standalone edge, these recurring tendencies can provide useful context for expectations and market behavior.

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Is September Really the Worst Month for Stocks?

Historically, yes.

Since 1928, September has delivered the weakest average monthly return for the S&P 500, at roughly -1% on average, making it the market’s most consistently underperforming month.

That doesn’t guarantee weakness every year—but the long-term seasonal bias is difficult to ignore.

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What Are the Odds of a Santa Claus Rally?

The Santa Claus rally is more than market folklore.

Historically, the S&P 500 has finished higher during the final five trading days of December plus the first two trading days of January roughly 79% of the time, making it one of the market’s strongest short-term seasonal tendencies.

For short-term traders, that’s one of the more statistically notable calendar effects.

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Does “Sell in May” Actually Work?

While it isn’t “written in stone,” there’s some truth behind the phrase.

Historically, the S&P 500 has produced significantly stronger average returns during the November through April period than during May through October, reinforcing the long-observed “Sell in May and go away” phenomenon.

That said, weaker does not mean negative—just less favorable on average.

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How Do Election Years Typically Perform?

Election years are often better than investors expect.

Since 1928, the S&P 500 has posted positive returns in approximately 75% of U.S. presidential election years, suggesting political uncertainty does not automatically translate into weak market performance.

Markets tend to care more about earnings, rates, and economic expectations than campaign headlines alone.

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What About the Post-Midterm Rally?

This is one of the strongest seasonal tendencies in market history.

Since World War II, the 12 months following U.S. midterm elections have historically produced average S&P 500 returns north of 15%, making post-midterm periods notably strong for equities.

It’s not a guarantee—but historically, political uncertainty clearing has often created a bullish backdrop.

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How Does the Presidential Cycle Affect Stock Market Performance?

The presidential cycle theory suggests certain years within a four-year U.S. presidential term tend to perform better than others—and historically, there’s some evidence behind it.

Since World War II, the third year of the presidential cycle has historically delivered the strongest average S&P 500 returns, often outperforming the first, second, and election years.

The theory is that administrations may favor more supportive fiscal or economic conditions heading into election season, though many outside variables obviously influence outcomes.

For traders, it’s less about prediction and more about historical context: some calendar patterns have repeated often enough to be worth knowing—even if they’re never guarantees.

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Volatility Probability Statistics

Volatility is where trader psychology gets tested.

Sharp moves, panic spikes, and violent reversals can feel abnormal in the moment—but historically, volatility is a recurring and entirely normal feature of equity markets.

How Many 1% Market Move Days Happen Per Year?

Big daily moves are more common than many traders expect.

Historically, the S&P 500 experiences roughly 50 to 70 trading days per year with moves of 1% or more, though that number can surge dramatically during high-volatility environments.

That means a “big move” happens far more often than newer traders often assume.

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How Often Does the VIX Spike Above 30?

A VIX reading above 30 is generally associated with elevated fear—but it’s not exceptionally rare.

Historically, the VIX has spent approximately 10%–15% of its trading history above 30, with those spikes clustering heavily around crises, recessions, and sharp correction periods.

For traders, that means fear spikes are episodic—but absolutely normal. And realistically, they’re sometimes the best times to add to your portfolio.

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How Common Are Panic Selling Events?

True panic selling is less common—but far from unprecedented.

Since 1950, the S&P 500 has experienced 2%+ single-day declines dozens of times, with clusters appearing during events like the 1987 crash, 2008 financial crisis, COVID panic, and 2022 bear market.

Markets don’t panic often—but when volatility expands, panic tends to arrive in bunches.

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What Are the Odds of Sharp Reversal Days?

Violent reversals are one of the market’s most emotionally confusing behaviors.

Historically, some of the strongest single-day gains in market history have occurred during broader bear markets—not healthy bull trends.

For example, during the 2008 financial crisis, the S&P 500 posted multiple 5%+ single-day rallies, even as the broader market remained in deep decline.

That’s an important trader lesson: Big green days are not always bullish. Sometimes, they’re just volatility wearing a different mask.

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Recovery Statistics After Market Declines

Market declines feel permanent when you’re in them—but history tells a very different story. While no recovery timeline is guaranteed, stock market rebounds have often been stronger, faster, and more resilient than fear suggests.

What Happens After a 10% Correction?

In many cases, recovery begins sooner than investors expect.

Historically, because most 10% corrections do not become bear markets, markets often stabilize and recover without escalating into prolonged structural declines.

That distinction matters because traders frequently treat every correction like the beginning of a crash—when statistically, most are not.

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What Are the Odds of Positive Returns 12 Months Later?

Historically, the odds favor recovery.

Looking at prior S&P 500 corrections and major selloffs, the market has frequently posted positive returns over the following 12 months, particularly after sentiment-driven declines rather than systemic economic collapses.

One widely cited historical pattern: after double-digit pullbacks, forward 12-month returns have often been positive the majority of the time.

That doesn’t eliminate short-term pain—but it reinforces the market’s long-term recovery bias.

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How Strong Is the Average Recovery After Major Selloffs?

Some rebounds are surprisingly powerful. After major declines, the strongest recoveries often happen when fear is highest.

Examples:

• After the 2020 COVID crash, the S&P 500 recovered from a ~34% collapse to new highs within months
• After the 2022 bear market, the index gained roughly 75%–80% cumulatively through the end of 2025
• After the 2008 financial crisis, recovery eventually exceeded prior highs despite one of history’s ugliest drawdowns

The lesson? Markets often recover far more aggressively than investor psychology expects.

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What Does Historical Post-Crash Performance Tell Us?

Crashes feel like endings—but historically, they’ve often been resets.

Nearly every major modern market collapse has eventually been followed by recovery, expansion, and new highs, though timelines vary dramatically.

This includes:

• 1987 crash
• Dot-com collapse
• Global Financial Crisis
• COVID panic selloff

For traders and investors alike, this is one of the most important probability lessons in market history:

Panic is temporary. Market adaptation is persistent.

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Long-Term Stock Market Probability Statistics

Short-term market behavior can feel chaotic, but the probabilities shift dramatically as your time horizon expands. Over longer holding periods, randomness tends to fade, and the market’s historical upward bias becomes much harder to ignore.

What Are the Odds Stocks Beat Bonds Over 10 Years?

Over long enough timeframes, stocks have historically been the stronger asset class.

Looking at long-term U.S. market history, stocks have outperformed bonds over most rolling 10-year periods, thanks to stronger earnings growth, dividend reinvestment, and long-term capital appreciation.

That outperformance comes with more volatility—but historically, patience has often been rewarded.

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What Are the Odds of Positive 5-Year Returns?

Short-term losses happen. Sustained five-year losses are much rarer.

Historically, the S&P 500 has delivered positive returns over the vast majority of rolling 5-year periods, with negative outcomes typically concentrated around major crashes or unusually poor starting valuations.

This is where investing begins to shift from speculation toward probability.

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What Are the Odds of Positive 20-Year Returns?

This is where the statistics become incredibly one-sided.

Historically, the S&P 500 has produced positive returns across essentially 100% of rolling 20-year periods in modern market history, assuming dividends are reinvested.

That doesn’t mean returns are always spectacular—but it does show how dramatically probability improves with time.

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What Is the Average Annual S&P 500 Return?

Long-term market returns are stronger than many investors realize.

Historically, the S&P 500 has delivered average annual returns of roughly:

• ~10% per year including dividends
• ~6% to 7% after inflation

Of course, no single year looks “average” in practice.

Some years deliver explosive gains. Others deliver painful losses.

But across decades, the historical return profile has remained remarkably resilient.

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Final Takeaway & Trader Insight — What Probability Data Can (and Cannot) Tell You

Probability data is useful because it gives traders and investors context.

It helps frame expectations, reduces the urge to overreact to every ugly headline or volatile session, and reminds us that market behavior is often less random than it feels in the moment.

But probability is not prediction.

Historical tendencies cannot tell you what will happen tomorrow. A pattern that has worked dozens of times before can still fail when sentiment, liquidity, or macro conditions shift.

That’s the real takeaway: probability is not a crystal ball—it’s a decision-making framework.

For traders, the goal isn’t to predict every move correctly. It’s to make consistently better decisions by understanding the odds, respecting uncertainty, and managing risk accordingly.

If you want to go deeper:

• Explore the Trading Statistics Hub to understand how different sectors behave across market cycles
• Study real setups inside the Trade Reviews section
• Learn the framework behind high-probability setups in the Post-Earnings Momentum Strategy

This is how you turn raw market data into repeatable trading edge.

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FAQ Section – Stock Market Probability Statistics

What percentage of stock market days are positive?

Historically, the S&P 500 has finished positive in roughly 53% to 55% of trading sessions, meaning the market closes green only slightly more often than a coin flip on any given day. While that may seem surprisingly low, long-term returns remain strongly positive because gains tend to outweigh losses over time.

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How often does the stock market crash?

True stock market crashes are relatively rare, but meaningful declines are a normal part of investing. Corrections of 10% or more happen roughly every 1–2 years, while full bear markets of 20% or more tend to occur every 5–7 years on average.

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What are the odds of a stock market correction each year?

The probability of seeing a meaningful pullback is much higher than many investors realize. Historically, the S&P 500 has experienced a 10%+ correction roughly once every 1 to 2 years, making temporary market declines a recurring feature—not an anomaly.

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Is September really the worst month for stocks?

Historically, yes. Since 1928, September has produced the weakest average monthly returns for the S&P 500, making it the market’s most consistently underperforming calendar month. That doesn’t guarantee losses every September, but the long-term seasonal trend is notable.

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How often do bear markets happen?

Bear markets are much less frequent than standard corrections. Historically, the S&P 500 has entered bear market territory approximately once every 5 to 7 years, though the timing and severity vary depending on broader economic and market conditions.

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Are stocks more likely to go up than down?

Over a single trading day, only slightly. But over longer timeframes, the probability shifts dramatically in favor of positive returns. The S&P 500 has historically finished positive in roughly 73% of calendar years, and long-term holding periods have overwhelmingly favored investors.

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What are the odds of positive returns after a market crash?

Historically, recovery has been more common than continued collapse. While timelines vary, major market selloffs have often been followed by strong rebounds, with the S&P 500 frequently posting positive returns over the following 12 months after significant declines.

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Do stock market probabilities actually help traders?

Yes—but only when used correctly. Probability data can help traders frame expectations, contextualize volatility, and avoid emotional overreactions. What it cannot do is predict tomorrow’s market direction or guarantee a profitable trade setup.

Sources

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Macrotrends. (2025). CBOE volatility index historical data. https://www.macrotrends.net/2603/vix-volatility-index-historical-chart

New York University Stern School of Business. (2025). Historical returns on stocks, bonds and bills (U.S.). https://pages.stern.nyu.edu/~adamodar/New_Home_Page/datafile/histretSP.html

Stock Trader’s Almanac. (2025). Historical market seasonality and presidential cycle data. https://www.stocktradersalmanac.com

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Federal Reserve Bank of St. Louis. (2025). S&P 500 index [SP500]. FRED Economic Data. https://fred.stlouisfed.org/series/SP500

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U.S. Bank Asset Management Group. (2024). Market corrections and bear markets explained. https://www.usbank.com/investing/financial-perspectives/market-news/market-corrections-and-bear-markets.html