What are today's high & low share prices of HDFC S & P BSE 500 ETF on the BSE?

As on 5 March 2026, HDFC S & P BSE 500 ETF hit its highest price of ₹37.2, while the lowest price for the day was ₹35.88

What are the 52-week high and low prices of HDFC S & P BSE 500 ETF?

The 52-week high price of HDFC S & P BSE 500 ETF is ₹39.29, and its 52-week low price stands at ₹31.28. (As on 5 March 2026)

What is the HDFC S & P BSE 500 ETF Stock Symbol?

The stock market symbol, or the ticker symbol, of HDFC S & P BSE 500 ETF is -. You can use this symbol to easily identify, track, and trade in the ETF.

How can I buy HDFC S & P BSE 500 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 S & P BSE 500 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 S & P BSE 500 ETF. Buy by specifying the quantity you wish to purchase, and place your order.

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HDFC S & P BSE 500 ETF

Current value unavailable.

As on - | -

Buy Sell

Pivot Levels

Type	Classic	Fibonacci
R1	36.99	36.92
R2	37.56	37.17
R3	38.03	37.56
PP	36.52	36.52
S1	36.99	36.92
S2	35.48	35.88
S3	34.91	35.48

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FAQs

As on 5 March 2026, the price of HDFC S & P BSE 500 ETF is -. This represents a loss of 0.69% 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.