What are today's high & low share prices of HDFC Nifty Banking ETF on the BSE?

As on 12 February 2026, HDFC Nifty Banking ETF hit its highest price of ₹62.5, while the lowest price for the day was ₹61.79

What are the 52-week high and low prices of HDFC Nifty Banking ETF?

The 52-week high price of HDFC Nifty Banking ETF is ₹62.5, and its 52-week low price stands at ₹48.72. (As on 12 February 2026)

What is the HDFC Nifty Banking ETF Stock Symbol?

The stock market symbol, or the ticker symbol, of HDFC Nifty Banking ETF is -. You can use this symbol to easily identify, track, and trade in the ETF.

How can I buy HDFC Nifty Banking ETF?

ETFs are traded in the stock market exactly like shares. That’s why you easily buy or sell them on the NSE or the BSE. For this, you will require a Demat and Trading account . This can be conveniently done online on the m.Stock platform. Apart from the lightning quick onboarding process, you can also open a Zero Brokerage Demat Account and save big in the long run. Moreover, you get access to m.Stock's secure and ultra-reliable platform, and get a consolidated view of all your ETF, stocks, and mutual fund holdings with a single dashboard. To buy HDFC Nifty Banking ETF through m.Stock: Open a Demat account and Trading account. If you already have an m.Stock account with funds added to it, then login and directly jump to step 4. Complete your documentation and the KYC process with basic information. Add funds to your m.Stock trading account. Search and select HDFC Nifty Banking ETF. Buy by specifying the quantity you wish to purchase, and place your order.

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HDFC Nifty Banking ETF

--(-%)

As on - | -

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Pivot Levels

Type	Classic	Fibonacci
R1	62.61	62.52
R2	62.83	62.64
R3	63.11	62.83
PP	62.33	62.33
S1	62.61	62.52
S2	61.83	62.02
S3	61.61	61.83

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FAQs

As on 12 February 2026, the price of HDFC Nifty Banking ETF is -. This represents a loss of 0.11% from its previous closing price.

Note : Securities shown above are only for illustrative purposes and not recommendatory in nature. The data represents best/cumulative figures till date.