NSE:DLF
DLF Limited Stock Price (Quote)
₹851.95
+3.20 (+0.377%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹810.60 | ₹915.00 | Tuesday, 21st May 2024 DLF.NS stock ended at ₹851.95. This is 0.377% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 1.32% from a day low at ₹845.80 to a day high of ₹857.00. |
90 days | ₹805.30 | ₹967.60 | |
52 weeks | ₹462.30 | ₹967.60 |
Date | Open | High | Low | Close | Volume |
Jun 23, 2023 | ₹481.00 | ₹481.60 | ₹473.00 | ₹477.70 | 2 580 842 |
Jun 22, 2023 | ₹483.05 | ₹484.80 | ₹478.55 | ₹481.25 | 3 255 560 |
Jun 21, 2023 | ₹489.30 | ₹494.35 | ₹480.35 | ₹482.85 | 3 757 435 |
Jun 20, 2023 | ₹484.40 | ₹491.70 | ₹481.50 | ₹489.20 | 3 848 337 |
Jun 19, 2023 | ₹497.00 | ₹499.40 | ₹482.75 | ₹485.35 | 3 071 639 |
Jun 16, 2023 | ₹492.80 | ₹497.75 | ₹490.15 | ₹496.00 | 4 360 229 |
Jun 15, 2023 | ₹503.00 | ₹508.75 | ₹488.50 | ₹490.35 | 6 416 349 |
Jun 14, 2023 | ₹505.00 | ₹507.00 | ₹499.60 | ₹503.70 | 6 892 361 |
Jun 13, 2023 | ₹492.35 | ₹504.75 | ₹488.65 | ₹503.60 | 5 847 727 |
Jun 12, 2023 | ₹487.05 | ₹492.25 | ₹485.65 | ₹490.60 | 1 695 012 |
Jun 09, 2023 | ₹485.00 | ₹490.50 | ₹483.65 | ₹485.20 | 2 611 251 |
Jun 08, 2023 | ₹496.00 | ₹497.80 | ₹480.90 | ₹484.75 | 4 922 311 |
Jun 07, 2023 | ₹498.00 | ₹498.65 | ₹493.15 | ₹495.70 | 4 878 697 |
Jun 06, 2023 | ₹489.65 | ₹498.60 | ₹487.50 | ₹494.65 | 5 132 418 |
Jun 05, 2023 | ₹492.00 | ₹496.05 | ₹487.10 | ₹489.25 | 4 634 348 |
Jun 02, 2023 | ₹478.00 | ₹491.00 | ₹477.35 | ₹489.30 | 10 019 509 |
Jun 01, 2023 | ₹475.00 | ₹480.05 | ₹473.05 | ₹477.20 | 3 727 880 |
May 31, 2023 | ₹474.45 | ₹477.00 | ₹467.80 | ₹474.90 | 10 060 139 |
May 30, 2023 | ₹480.00 | ₹481.50 | ₹473.50 | ₹474.60 | 3 208 264 |
May 29, 2023 | ₹478.50 | ₹486.40 | ₹474.05 | ₹482.65 | 4 664 967 |
May 26, 2023 | ₹477.25 | ₹484.55 | ₹471.55 | ₹478.10 | 6 158 122 |
May 25, 2023 | ₹467.00 | ₹479.80 | ₹464.65 | ₹477.25 | 8 128 609 |
May 24, 2023 | ₹467.85 | ₹469.95 | ₹462.30 | ₹465.50 | 3 086 015 |
May 23, 2023 | ₹479.80 | ₹480.50 | ₹465.90 | ₹467.85 | 3 816 215 |
May 22, 2023 | ₹472.25 | ₹481.15 | ₹469.20 | ₹478.15 | 6 364 647 |
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 DLF.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the DLF.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 DLF.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.