XLON:DEB
Delisted
Debenhams Stock Price (Quote)
£1.83
+0 (+0%)
At Close: Sep 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.83 | £1.83 | Tuesday, 17th Sep 2019 DEB.L stock ended at £1.83. During the day the stock fluctuated 0% from a day low at £1.83 to a day high of £1.83. |
90 days | £1.83 | £1.83 | |
52 weeks | £0.0100 | £11.12 |
Date | Open | High | Low | Close | Volume |
Feb 12, 2019 | £3.22 | £4.66 | £3.22 | £4.02 | 107 401 422 |
Feb 11, 2019 | £3.31 | £3.31 | £3.10 | £3.14 | 4 613 559 |
Feb 08, 2019 | £3.55 | £3.55 | £3.12 | £3.23 | 13 060 783 |
Feb 07, 2019 | £3.59 | £3.60 | £3.25 | £3.40 | 9 463 308 |
Feb 06, 2019 | £3.60 | £3.65 | £3.35 | £3.47 | 10 304 498 |
Feb 05, 2019 | £3.50 | £3.50 | £3.27 | £3.44 | 7 858 686 |
Feb 04, 2019 | £3.80 | £3.80 | £3.34 | £3.44 | 18 047 343 |
Feb 01, 2019 | £3.65 | £3.87 | £3.38 | £3.66 | 15 968 407 |
Jan 31, 2019 | £3.42 | £3.76 | £3.34 | £3.74 | 31 515 935 |
Jan 30, 2019 | £3.14 | £3.35 | £3.03 | £3.35 | 18 250 091 |
Jan 29, 2019 | £3.25 | £3.25 | £2.99 | £3.00 | 16 948 237 |
Jan 28, 2019 | £3.50 | £3.50 | £3.09 | £3.13 | 25 554 397 |
Jan 25, 2019 | £3.80 | £3.80 | £3.14 | £3.40 | 22 059 062 |
Jan 24, 2019 | £3.56 | £4.01 | £3.47 | £3.63 | 23 052 067 |
Jan 23, 2019 | £3.44 | £3.95 | £3.35 | £3.74 | 39 202 092 |
Jan 22, 2019 | £3.09 | £3.09 | £3.09 | £3.09 | 0 |
Jan 21, 2019 | £2.99 | £3.28 | £2.98 | £3.09 | 12 826 444 |
Jan 18, 2019 | £3.00 | £3.20 | £2.82 | £2.99 | 28 232 183 |
Jan 17, 2019 | £3.10 | £3.16 | £2.80 | £2.90 | 23 075 728 |
Jan 16, 2019 | £3.14 | £3.30 | £2.78 | £3.09 | 29 662 772 |
Jan 15, 2019 | £3.47 | £3.56 | £3.14 | £3.18 | 24 700 740 |
Jan 14, 2019 | £4.09 | £4.27 | £3.15 | £3.30 | 59 003 022 |
Jan 11, 2019 | £5.05 | £5.22 | £3.76 | £3.91 | 59 638 363 |
Jan 10, 2019 | £5.38 | £5.97 | £4.69 | £4.82 | 32 364 968 |
Jan 09, 2019 | £5.24 | £5.85 | £5.24 | £5.65 | 12 384 722 |
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 DEB.L stock historical prices to predict future price movements?
Trend Analysis: Examine the DEB.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 DEB.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.