XLON:DNLM
Dunelm Group Plc Stock Price (Quote)
£1,015.00
+1.00 (+0.0986%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £959.00 | £1,083.00 | Thursday, 16th May 2024 DNLM.L stock ended at £1,015.00. This is 0.0986% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 2.70% from a day low at £1,000.00 to a day high of £1,027.00. |
90 days | £959.00 | £1,189.00 | |
52 weeks | £959.00 | £1,335.54 |
Date | Open | High | Low | Close | Volume |
Nov 29, 2016 | £750.00 | £753.50 | £745.00 | £752.00 | 274 436 |
Nov 28, 2016 | £743.50 | £755.00 | £739.50 | £745.50 | 239 423 |
Nov 25, 2016 | £742.50 | £748.50 | £740.00 | £743.50 | 220 274 |
Nov 24, 2016 | £750.50 | £755.50 | £740.50 | £745.00 | 255 726 |
Nov 23, 2016 | £759.50 | £762.50 | £747.00 | £752.50 | 211 567 |
Nov 22, 2016 | £758.50 | £768.00 | £747.50 | £759.50 | 172 130 |
Nov 21, 2016 | £769.00 | £769.00 | £749.00 | £753.50 | 193 359 |
Nov 18, 2016 | £764.50 | £774.50 | £760.00 | £769.50 | 194 931 |
Nov 17, 2016 | £758.00 | £776.00 | £758.00 | £770.50 | 124 072 |
Nov 16, 2016 | £760.00 | £766.50 | £751.50 | £760.00 | 285 161 |
Nov 15, 2016 | £754.00 | £768.50 | £754.00 | £758.50 | 163 275 |
Nov 14, 2016 | £762.50 | £771.00 | £751.50 | £753.50 | 152 303 |
Nov 11, 2016 | £755.00 | £756.00 | £748.00 | £756.00 | 280 076 |
Nov 10, 2016 | £753.00 | £774.50 | £750.00 | £750.00 | 291 655 |
Nov 09, 2016 | £745.00 | £752.00 | £730.00 | £752.00 | 228 987 |
Nov 08, 2016 | £759.50 | £762.00 | £753.00 | £753.00 | 232 159 |
Nov 07, 2016 | £767.00 | £768.50 | £754.00 | £754.00 | 182 600 |
Nov 04, 2016 | £763.50 | £772.00 | £752.50 | £757.00 | 226 137 |
Nov 03, 2016 | £758.50 | £792.50 | £755.00 | £773.50 | 377 280 |
Nov 02, 2016 | £762.00 | £779.00 | £761.00 | £776.00 | 283 226 |
Nov 01, 2016 | £762.50 | £771.00 | £758.00 | £767.50 | 308 476 |
Oct 31, 2016 | £762.50 | £764.50 | £752.50 | £756.50 | 254 472 |
Oct 28, 2016 | £757.00 | £771.50 | £751.50 | £767.00 | 501 550 |
Oct 27, 2016 | £769.50 | £769.50 | £755.00 | £757.00 | 295 508 |
Oct 26, 2016 | £770.00 | £775.50 | £759.00 | £768.00 | 330 778 |
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 DNLM.L stock historical prices to predict future price movements?
Trend Analysis: Examine the DNLM.L 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 DNLM.L 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.