HDFC Bank Limited Stock Price (Quote)
₹1,464.10
+3.85 (+0.264%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,426.80 | ₹1,557.40 | Friday, 17th May 2024 HDFCBANK.NS stock ended at ₹1,464.10. This is 0.264% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.51% from a day low at ₹1,446.20 to a day high of ₹1,468.00. |
90 days | ₹1,397.30 | ₹1,557.40 | |
52 weeks | ₹1,363.55 | ₹1,757.50 |
Date | Open | High | Low | Close | Volume |
Jun 21, 2023 | ₹1,616.00 | ₹1,637.25 | ₹1,611.00 | ₹1,635.60 | 12 152 586 |
Jun 20, 2023 | ₹1,604.15 | ₹1,611.00 | ₹1,590.65 | ₹1,607.50 | 10 002 396 |
Jun 19, 2023 | ₹1,611.00 | ₹1,614.25 | ₹1,598.35 | ₹1,604.15 | 12 413 427 |
Jun 16, 2023 | ₹1,587.15 | ₹1,609.20 | ₹1,584.00 | ₹1,602.75 | 7 888 802 |
Jun 15, 2023 | ₹1,604.00 | ₹1,605.95 | ₹1,579.00 | ₹1,582.05 | 17 685 384 |
Jun 14, 2023 | ₹1,610.45 | ₹1,612.00 | ₹1,600.20 | ₹1,601.75 | 10 054 032 |
Jun 13, 2023 | ₹1,590.10 | ₹1,609.00 | ₹1,590.10 | ₹1,603.50 | 13 961 698 |
Jun 12, 2023 | ₹1,612.55 | ₹1,615.80 | ₹1,599.45 | ₹1,600.80 | 6 703 009 |
Jun 09, 2023 | ₹1,615.90 | ₹1,618.50 | ₹1,607.00 | ₹1,610.60 | 9 103 134 |
Jun 08, 2023 | ₹1,603.25 | ₹1,626.00 | ₹1,603.25 | ₹1,608.70 | 18 696 455 |
Jun 07, 2023 | ₹1,603.45 | ₹1,612.55 | ₹1,596.00 | ₹1,607.70 | 12 473 826 |
Jun 06, 2023 | ₹1,607.65 | ₹1,609.85 | ₹1,592.25 | ₹1,599.40 | 16 089 631 |
Jun 05, 2023 | ₹1,614.50 | ₹1,616.50 | ₹1,602.45 | ₹1,604.40 | 9 343 770 |
Jun 02, 2023 | ₹1,612.45 | ₹1,614.80 | ₹1,601.00 | ₹1,606.50 | 8 926 748 |
Jun 01, 2023 | ₹1,619.90 | ₹1,619.90 | ₹1,600.00 | ₹1,604.00 | 25 034 157 |
May 31, 2023 | ₹1,629.90 | ₹1,634.95 | ₹1,604.65 | ₹1,610.85 | 21 662 369 |
May 30, 2023 | ₹1,633.60 | ₹1,642.00 | ₹1,628.55 | ₹1,636.75 | 18 561 396 |
May 29, 2023 | ₹1,628.50 | ₹1,641.00 | ₹1,624.85 | ₹1,635.50 | 10 907 761 |
May 26, 2023 | ₹1,619.00 | ₹1,619.00 | ₹1,602.25 | ₹1,615.80 | 13 317 234 |
May 25, 2023 | ₹1,615.70 | ₹1,620.05 | ₹1,597.35 | ₹1,609.60 | 14 884 908 |
May 24, 2023 | ₹1,627.55 | ₹1,634.75 | ₹1,613.60 | ₹1,615.80 | 16 790 149 |
May 23, 2023 | ₹1,649.00 | ₹1,649.60 | ₹1,633.45 | ₹1,637.20 | 11 234 511 |
May 22, 2023 | ₹1,645.00 | ₹1,652.90 | ₹1,632.70 | ₹1,641.05 | 14 166 683 |
May 19, 2023 | ₹1,648.00 | ₹1,650.00 | ₹1,631.55 | ₹1,646.90 | 15 228 881 |
May 18, 2023 | ₹1,648.00 | ₹1,653.95 | ₹1,640.00 | ₹1,645.00 | 24 805 169 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use HDFCBANK.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the HDFCBANK.NS stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the HDFCBANK.NS stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.