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브라우저에서 완전히 실행되는 계산기, 1928년까지 거슬러 올라가는 일일 종가로 계산된 장기 통계, 그리고 세션에 따라 변동하는 실시간 순위. 여기에서는 이메일을 요구하지 않으며, 모든 페이지는 숫자의 출처와 계산 방법을 명시합니다.
계정 없음, 이메일 없음, 제한 없음 · Market data through 28 Aug 2026
Calculators
Run entirely in your browser. Nothing is uploaded, no account is needed, and every one of them shows the formula it used underneath the result.
- Runs in your browser
Compound interest
Grow a starting balance and a regular contribution at a fixed rate, and see how much of the ending balance came from your money rather than the return.
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Dividend reinvestment
Project a dividend portfolio with reinvestment, dividend growth and share-price growth as separate inputs, and see the yield on your original cost rise.
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- Runs in your browser
Position size
Work backwards from the loss you are willing to take to the number of shares, and check what that position does to your account if it gaps.
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CAGR
Turn a starting value, an ending value and a number of years into a compound annual growth rate — and see what the same total return looks like over other horizons.
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Drawdown recovery
See the gain required to get back to even after a loss, and how many years of a given return that takes.
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Average cost
Add up several buys at different prices to get a weighted average cost, break-even price, and what a further purchase would move it to.
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Market statistics
Long-run figures built from daily closing prices, with the date of the data and the method stated on the page so the numbers can be quoted with a source.
- Updated with the data
S&P 500 annual returns
Every calendar year's price return, the largest drop inside each of those years, and what the distribution of outcomes actually looks like.
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- Updated with the data
World index returns
Year-by-year returns for the S&P 500, Nasdaq, Hang Seng, Nikkei, DAX, FTSE, KOSPI, Sensex and more, in one sortable table.
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- Updated with the data
Historical drawdowns
Peak, trough, depth, and how long it took to get back — for every decline of at least 10% in the record.
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- Updated with the data
Monthly seasonality
What every calendar month has actually done across ninety-eight years — average, median, and how often it finished up.
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- Updated with the data
Missing the best days
The most-quoted statistic in retail investing, computed from the actual daily record, with the half that never gets quoted next to it.
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- Updated with the data
Volatility by year
Annualised volatility, the count of 1%, 2% and 3% sessions, and the single best and worst day of every year.
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- Updated with the data
Record highs
Every record close since 1928, how long the droughts between them ran, and what a year from a record actually paid.
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- Updated with the data
Streaks and base rates
The odds of an up day, week, month, quarter and year in one table — plus the longest winning and losing runs on record.
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- Updated with the data
After a big move
Forward returns after every big session since 1928, each one against the unconditional odds over the same horizon.
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- Updated with the data
Calendar effects
The Monday effect and the turn-of-the-month effect, cut into three eras so you can see what happened to them after they were published.
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- Updated with the data
World market correlations
A correlation matrix for twelve national indices — monthly, daily, and daily with the time-zone offset removed.
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- Updated with the data
Sector returns by year
All eleven sectors ranked year by year, with how often last year's winner won again — which is almost never.
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- Updated with the data
Asset class returns by year
Eleven asset classes ranked year by year since 2008, with the correlation matrix that explains why the ranking moves.
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- Updated with the data
Overnight vs intraday
Every session split into the gap and the trading day — and the reason the index and the fund give opposite answers.
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- Updated with the data
Red days in green years
For every year since 1928: how many sessions closed below where the year started, how often it crossed that line, and how deep it got.
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- Updated with the data
Spillover from a US selloff
The size of a US selloff that actually arrives in each other market's next session, measured rather than assumed.
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Company research
Built from the filings of the largest US-listed companies rather than from price history — figures that require reading several hundred annual reports, with the universe, the matching rule and the disclosure gaps stated on the page.
- Updated with the data
Revenue per employee
A decade of revenue against the headcount each company actually reported, and the point where the two stopped moving together.
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- Updated with the data
Buybacks vs dilution
Ten years of share issuance and repurchase, netted off — the part of a buyback that only cancels out the shares just granted.
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- Updated with the data
Foreign revenue exposure
The US-versus-rest-of-world revenue split by sector, plus the disclosure problem that stops anyone from stating it precisely.
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- Updated with the data
R&D and capex intensity
Research spending and capital expenditure as a share of revenue, by sector, over a decade — with the denominator problem nobody else handles.
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- Updated with the data
Effective tax rates
The effective rate off the income statements — not the statutory rate — every year since 2015, with the 2017 cut visible in the middle of it.
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- Updated with the data
Interest burden
Interest expense against operating profit, by sector, through the zero-rate years and out the other side.
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- Updated with the data
Reinvest or pay out
Companies sorted by what they spent in 2015-2019, then measured on what they grew through 2025 — with the survivorship problem stated up front rather than hidden.
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- Updated with the data
The filings behind it
The universe the company research pages are built on, company by company, each one linked to the filing it was read from.
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Live rankings
Lists that move with the session, refreshed through US market hours.
- Live through the session
Today's movers
The biggest gainers, the biggest losers and the heaviest volume in the US market right now, in one view.
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- Live through the session
Sector performance
All eleven S&P sectors ranked by today's move, with how far each sits below its 52-week high and above its 200-day average.
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- Live through the session
World markets today
Twelve major indices ranked by today's move, each against its own 52-week high and 200-day average.
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The statistics pages are built from Financial Modeling Prep daily adjusted closes, retrieved through Plutux's own data service. Price returns from daily closing levels. Index price returns exclude dividends. The calculators are provided for information only and are not investment advice; the assumptions you enter, not the arithmetic, are what determine whether the answer is useful.