HDFC Bank Limited Stock Price (Quote)
₹1,464.10
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,426.80 | ₹1,557.40 | Monday, 20th May 2024 HDFCBANK.NS stock ended at ₹1,464.10. During the day the stock fluctuated 0% from a day low at ₹1,464.10 to a day high of ₹1,464.10. |
90 days | ₹1,397.30 | ₹1,557.40 | |
52 weeks | ₹1,363.55 | ₹1,757.50 |
Date | Open | High | Low | Close | Volume |
Dec 26, 2023 | ₹1,673.25 | ₹1,685.95 | ₹1,668.55 | ₹1,682.45 | 9 019 897 |
Dec 22, 2023 | ₹1,683.60 | ₹1,685.90 | ₹1,667.10 | ₹1,670.85 | 24 286 199 |
Dec 21, 2023 | ₹1,657.00 | ₹1,689.75 | ₹1,650.25 | ₹1,686.70 | 18 291 159 |
Dec 20, 2023 | ₹1,658.00 | ₹1,668.95 | ₹1,644.45 | ₹1,657.00 | 17 112 965 |
Dec 19, 2023 | ₹1,650.00 | ₹1,658.65 | ₹1,644.05 | ₹1,652.90 | 12 002 961 |
Dec 18, 2023 | ₹1,660.70 | ₹1,664.70 | ₹1,650.95 | ₹1,655.70 | 8 980 496 |
Dec 15, 2023 | ₹1,650.00 | ₹1,668.00 | ₹1,646.60 | ₹1,656.55 | 69 402 619 |
Dec 14, 2023 | ₹1,646.00 | ₹1,658.95 | ₹1,645.00 | ₹1,650.15 | 17 580 257 |
Dec 13, 2023 | ₹1,632.45 | ₹1,636.00 | ₹1,615.10 | ₹1,630.90 | 14 672 941 |
Dec 12, 2023 | ₹1,654.20 | ₹1,656.25 | ₹1,631.85 | ₹1,634.60 | 18 288 063 |
Dec 11, 2023 | ₹1,650.05 | ₹1,663.70 | ₹1,647.00 | ₹1,651.00 | 11 591 544 |
Dec 08, 2023 | ₹1,630.45 | ₹1,655.00 | ₹1,630.45 | ₹1,653.20 | 16 853 502 |
Dec 07, 2023 | ₹1,625.00 | ₹1,634.00 | ₹1,616.20 | ₹1,630.45 | 10 223 671 |
Dec 06, 2023 | ₹1,638.45 | ₹1,638.45 | ₹1,616.65 | ₹1,627.80 | 19 302 745 |
Dec 05, 2023 | ₹1,636.50 | ₹1,639.00 | ₹1,616.50 | ₹1,623.70 | 26 111 630 |
Dec 04, 2023 | ₹1,588.00 | ₹1,612.00 | ₹1,573.65 | ₹1,609.40 | 25 322 394 |
Dec 01, 2023 | ₹1,557.90 | ₹1,565.75 | ₹1,552.10 | ₹1,555.40 | 11 074 082 |
Nov 30, 2023 | ₹1,569.15 | ₹1,572.45 | ₹1,542.15 | ₹1,558.80 | 34 740 495 |
Nov 29, 2023 | ₹1,533.90 | ₹1,563.00 | ₹1,533.00 | ₹1,559.15 | 17 016 207 |
Nov 28, 2023 | ₹1,535.20 | ₹1,537.25 | ₹1,525.80 | ₹1,528.65 | 14 243 691 |
Nov 24, 2023 | ₹1,521.20 | ₹1,533.15 | ₹1,519.85 | ₹1,532.10 | 8 233 558 |
Nov 23, 2023 | ₹1,508.50 | ₹1,523.85 | ₹1,508.50 | ₹1,521.30 | 6 523 110 |
Nov 22, 2023 | ₹1,520.00 | ₹1,520.00 | ₹1,503.55 | ₹1,512.55 | 14 561 825 |
Nov 21, 2023 | ₹1,519.00 | ₹1,522.00 | ₹1,512.10 | ₹1,517.95 | 12 479 986 |
Nov 20, 2023 | ₹1,513.00 | ₹1,513.00 | ₹1,501.55 | ₹1,505.20 | 9 665 726 |
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.