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 |
Feb 21, 2022 | ₹356.00 | ₹357.80 | ₹344.40 | ₹346.50 | 7 924 742 |
Feb 18, 2022 | ₹363.50 | ₹367.00 | ₹357.65 | ₹359.65 | 3 467 157 |
Feb 17, 2022 | ₹370.90 | ₹370.90 | ₹362.40 | ₹365.60 | 4 697 440 |
Feb 16, 2022 | ₹374.60 | ₹376.10 | ₹366.50 | ₹367.85 | 6 543 922 |
Feb 15, 2022 | ₹358.00 | ₹373.25 | ₹347.75 | ₹371.55 | 10 048 150 |
Feb 14, 2022 | ₹369.85 | ₹371.80 | ₹352.40 | ₹355.05 | 7 373 194 |
Feb 11, 2022 | ₹386.50 | ₹388.75 | ₹377.10 | ₹378.60 | 4 867 356 |
Feb 10, 2022 | ₹388.75 | ₹393.15 | ₹382.00 | ₹390.10 | 3 019 597 |
Feb 09, 2022 | ₹387.50 | ₹391.65 | ₹385.20 | ₹386.35 | 3 350 974 |
Feb 08, 2022 | ₹388.80 | ₹391.90 | ₹376.40 | ₹384.55 | 5 010 710 |
Feb 07, 2022 | ₹399.80 | ₹401.55 | ₹385.40 | ₹387.15 | 4 850 869 |
Feb 04, 2022 | ₹405.00 | ₹407.25 | ₹396.60 | ₹399.50 | 4 128 150 |
Feb 03, 2022 | ₹400.40 | ₹409.75 | ₹398.75 | ₹403.25 | 8 261 166 |
Feb 02, 2022 | ₹408.00 | ₹409.00 | ₹397.20 | ₹399.55 | 5 263 774 |
Feb 01, 2022 | ₹394.80 | ₹408.00 | ₹385.05 | ₹404.80 | 11 930 801 |
Jan 31, 2022 | ₹381.60 | ₹392.20 | ₹381.60 | ₹390.90 | 4 202 716 |
Jan 28, 2022 | ₹376.50 | ₹389.50 | ₹376.20 | ₹378.35 | 5 279 263 |
Jan 27, 2022 | ₹373.00 | ₹377.35 | ₹362.00 | ₹374.15 | 7 132 111 |
Jan 25, 2022 | ₹369.90 | ₹382.70 | ₹363.15 | ₹380.25 | 7 316 655 |
Jan 24, 2022 | ₹402.85 | ₹402.85 | ₹365.55 | ₹372.00 | 7 003 711 |
Jan 21, 2022 | ₹402.85 | ₹405.70 | ₹390.40 | ₹395.10 | 6 992 147 |
Jan 20, 2022 | ₹408.40 | ₹410.35 | ₹403.35 | ₹407.85 | 4 572 029 |
Jan 19, 2022 | ₹403.90 | ₹411.85 | ₹398.60 | ₹408.25 | 6 237 382 |
Jan 18, 2022 | ₹426.90 | ₹429.90 | ₹390.75 | ₹403.90 | 9 435 830 |
Jan 17, 2022 | ₹417.25 | ₹425.00 | ₹413.20 | ₹423.80 | 4 584 613 |
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.