Explore Indian market history across equities, sectors, gold, silver, bonds, currency, interest rates and inflation. Compare assets, see how deep past falls went and how long recoveries took, and look at what happened around major events.
Historical observations from official and published data. Not a forecast, and not a recommendation.
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Today's Market in a Snapshot
Data to End-of-day published values, not real-timeSources: NSE, IBJA, AMFI NAVs, OECD via FRED
IBJA gold rate is for 11 Nov 2026.
Market snapshot, 12 Nov 2026
₹1 lakh over 10 years: Gold ₹4.17L, Nifty 50 ₹3.32L, Gilt ₹1.97L
On 12 Nov 2026, Nifty 50 closed at 25,299.35 (+0.18%), gold (IBJA 999) was ₹1,40,603 per 10 g (−1.28%), and the 10-year G-Sec yield was 7.06% in Sep 2026. Over ten years, ₹1 lakh grew to ₹4.17 lakh in gold, ₹3.32 lakh in Nifty 50 and ₹1.97 lakh in the 10-year gilt fund, based on fund NAVs after costs. Past returns do not indicate future returns.
Facts from published data, recalculated whenever the data updates.
Nifty 50
25,299.35+0.18%Index close, NSE, 12 Nov 2026 · P/E 20.62
Past year, fund NAV, weekly
Nifty 50 returns
1D
1M
1Y
3Ya yr
5Ya yr
10Ya yr
+0.19%
+11.4%
−1.5%
+10.1%
+7.8%
+12.7%
Index fund NAV: price plus dividends (total return), after costs. 1D–1Y absolute; 3Y–10Y annualised.
Same start date, same amount and the same method for all three: fund NAVs after costs, valued on 12 Nov 2026. No taxes or further investments.
Nifty 50₹3.32 lakh
Gold₹4.17 lakh
10-year gilt fund₹1.97 lakh
Asset
Value of ₹1 lakh
Absolute return
CAGR
Deepest fall
Volatility
Nifty 50
₹3.32 lakh
+231.7%
+12.7%
−38.4%Jan 2020–Mar 2020
16.2%
Gold
₹4.17 lakh
+317.2%
+15.4%
−21.5%Aug 2020–Mar 2021
15.6%
10-year gilt fund
₹1.97 lakh
+96.9%
+7.0%
−4.6%Dec 2021–Jun 2022
3.3%
CAGR: compound annual growth rate. Volatility: standard deviation of monthly returns, annualised. Deepest fall: largest drop from a previous high within the ten years. Equity returns include dividends; gold is after ETF costs, not jewellery prices; the gilt figure is a fund's total return, not the bond yield.
Compared with a year ago, Nifty 50 is little changed (−1.5%), gold is higher (+10.3%) and the 10-year gilt fund is little changed (+1.9%). Over five years, all three grew: Nifty 50 at 7.8% a year, gold at 22.0% and the gilt fund at 5.3%. Returns here are from index-fund and ETF NAVs, so they include dividends and are after fund costs.
Daily insights
Observation Fact
On 12 Nov 2026: Nifty 50 closed at 25,299.35 (+0.18%); gold (IBJA 999, PM) at ₹1,40,603 per 10 g (−1.28%); the 10-year gilt fund NAV −0.14%.
Observation Fact
Nifty 50 is 3.9% below its 52-week high of 26,328.55 and 13.8% above its 52-week low of 22,231.80. Gold (ETF NAV) is 21.0% below its highest stored value.
Observation Fact
Within the same ten years, the deepest fall from a peak was −38.4% for Nifty 50 (Jan 2020 to Mar 2020), −21.5% for gold and −4.6% for the gilt fund.
Investor education Explainer
The 10-year G-Sec yield (7.06% in Sep 2026) is the interest rate the bond pays if held to maturity. A gilt fund's return also includes bond price changes, and prices fall when yields rise. Over the past year the yield moved +48 basis points and the gilt fund returned +1.9%, so the yield and the fund's return are different numbers.
Diversification Fact + interpretation
Over these ten years, the correlation of monthly returns was −0.08 between Nifty 50 and gold and 0.15 between Nifty 50 and the gilt fund (1 means they always moved together, 0 means no link). Assets that do not move together can make a combined portfolio's ride smoother, though such relationships change over time.
Key takeaways Educational interpretation
The same asset, gold, led over both 1 and 10 years this time; leadership has changed in other periods, so one window rarely tells the whole story.
Short periods can mislead: Nifty 50 returned −1.5% over one year but 12.7% a year over ten.
Growth and falls come together: the deepest ten-year fall was −38.4% for Nifty 50 and −4.6% for the 10-year gilt fund. How much fall you can sit through matters as much as the return.
Question for you: Did any of these ten-year numbers surprise you?
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For information and education only; not investment advice or a recommendation. Past performance does not guarantee future returns. Mutual fund investments are subject to market risks, read all scheme-related documents carefully. Integrato Financial Services Pvt. Ltd. distributes mutual funds through Sanjeev Kumar Sharma, AMFI-registered Mutual Fund Distributor (ARN-173155). Index levels are NSE closing values; gold is the IBJA benchmark rate; returns use the NAVs of an index fund, a gold ETF and a 10-year gilt fund that track each market, so they differ from index and price returns by fund costs and tracking difference.
Market dashboard
Every market on one board: latest returns, the past year's trend, where each stands in its 52-week range and how far below its high. Prices are the latest published closing values (NSE, BSE, IBJA, FRED); returns use the longer NAV histories of index funds and ETFs that track each market, so they include dividends and fund costs. Daily data, not real-time.
Where are we now? What history shows
Two ways to put today in context: how far a market is below its high, and how its valuation compares with its own past. For each, what happened next from similar starting points in the past.
From markets to mutual funds
How the markets on this page connect to mutual fund categories in MFIC, Integrato's mutual fund research tool: what each market returned, what the typical scheme in the matching category returned, how many active schemes were ahead of their benchmark, and where investors' money went.
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Holding period and the chance of a loss
For every past start date, did the investment end below where it began? The table and chart show that share for each holding period. Choose markets to compare.
Market Analyzer
Choose up to five series and a period. The chart, the table and the observations below update together, and the link in your address bar saves the analysis.
Learn more: how these figures are calculated
Growth of ₹1 lakh
What ₹1,00,000 placed in each series on the first common date would have become, using the series' own values. No costs, taxes or contributions are added.
CAGR
Compound annual growth rate: the constant yearly rate that turns the starting value into the ending value over the period. Periods under a year show the simple return.
Volatility
Standard deviation of month-end returns, multiplied by √12. It measures how widely monthly returns varied, not the risk of loss by itself.
Maximum drawdown
The largest fall from a previous peak to a later low within the period, with the dates and, if it happened, the date the previous peak was regained.
Real CAGR
CAGR adjusted for consumer-price inflation over the same months: (1 + CAGR) ÷ (1 + inflation rate) − 1. Shown only while the CPI series covers the whole period.
Rolling returns: one number is never the whole story
Every possible holding period of the chosen length, started at each month-end. The spread shows how much the experience depended on the starting date.
Corrections, bear markets and time to recover
Every fall of the chosen size from a previous peak, found from the data: when it started, how deep it went, and how long it took to regain the old peak. A fall of 10–20% is labelled a correction and 20% or more a bear market.
What happened around major events
Performance before and following a date, for the series chosen in the Market Analyzer. This shows what the markets did around the event; it does not show that the event caused it.
Calendar-year returns
Each cell is one calendar year's return. Colour helps scanning; the number is the value. Partial first years and the current year to date are marked.
Inflation and interest-rate regimes
Average returns of the chosen series in months grouped by the economic environment of that month. Historical observations, not forecasts.
How closely markets move together
Correlation of monthly returns for the series in the Market Analyzer, over the selected period, and how one pair's correlation changed over time.
Month-by-month seasonality
Average return in each calendar month and how often it was positive. Past patterns like these are often not repeated.
Market Memory: pick any date
What the data showed on a date you choose, and what happened over the following 1, 3, 5 and 10 years.
If you had invested: ₹1 lakh once, or a monthly SIP
A one-time ₹1,00,000 on the start date, valued on the end date, for each series in the Market Analyzer. Fund-proxy series are after fund costs; taxes are not deducted.
Build a mix: how combining assets changed the ride
Pick up to four assets and their weights. See how the combination grew, how deep its falls were and its worst year, next to each asset on its own, over the same months.
Market history, one page at a time
Ready-made summaries with the key numbers worked out, each with its sources and dates.
Every series, where it comes from, how often it updates, the first and last date available, and how it is used. Nothing is interpolated: a series starts on its first real observation, and gaps stay gaps.
Not included yet
The RBI repo-rate history, FD rates by bank, WPI, MOSPI's Index of Industrial Production and quarterly GDP are not shown because no free, machine-readable and reliable source is connected yet. Index levels, P/E, P/B and dividend yield come from NSE's published daily closing-values files; real-time exchange prices are not shown, as they need a data licence.
Important
Historical performance is not indicative of future returns. Historical relationships may not persist.
Data may be revised by the source institutions. Index-fund and ETF NAVs are used as proxies for index performance and differ from official index levels by fund costs and tracking difference.
This page is for information and education. It is not a recommendation to buy or sell anything and not a guarantee of future performance.
Integrato Financial Services Pvt. Ltd. distributes mutual funds through Sanjeev Kumar Sharma, AMFI-registered Mutual Fund Distributor (ARN-173155). Mutual fund investments are subject to market risks; read all scheme-related documents carefully.
Integrato's team can walk you through how different asset classes have behaved and answer questions about mutual fund schemes. Integrato distributes mutual funds through Sanjeev Kumar Sharma, AMFI-registered Mutual Fund Distributor (ARN-173155).