XLON:DIGS
Delisted
GCP Student Living plc Stock Price (Quote)
£2.13
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £2.13 | £2.13 | Wednesday, 17th Aug 2022 DIGS.L stock ended at £2.13. During the day the stock fluctuated 0% from a day low at £2.13 to a day high of £2.13. |
90 days | £2.13 | £2.13 | |
52 weeks | £2.13 | £213.90 |
Historical GCP Student Living plc prices
Date | Open | High | Low | Close | Volume |
Jul 14, 2021 | £193.00 | £194.40 | £192.40 | £193.00 | 2 147 578 |
Jul 13, 2021 | £193.20 | £195.00 | £192.60 | £193.20 | 956 228 |
Jul 12, 2021 | £194.00 | £195.97 | £192.20 | £193.40 | 687 573 |
Jul 09, 2021 | £193.33 | £197.40 | £193.20 | £194.00 | 1 539 366 |
Jul 08, 2021 | £194.00 | £196.60 | £192.85 | £194.00 | 2 385 602 |
Jul 07, 2021 | £191.60 | £196.00 | £191.60 | £195.00 | 1 164 856 |
Jul 06, 2021 | £193.00 | £196.00 | £192.40 | £195.00 | 2 687 525 |
Jul 05, 2021 | £177.00 | £194.60 | £177.00 | £193.00 | 14 394 983 |
Jul 02, 2021 | £164.00 | £171.00 | £163.80 | £169.20 | 3 635 359 |
Jul 01, 2021 | £163.00 | £165.60 | £159.40 | £163.00 | 3 040 420 |
Jun 30, 2021 | £164.40 | £164.40 | £161.00 | £161.00 | 1 094 238 |
Jun 29, 2021 | £165.31 | £167.40 | £162.40 | £162.80 | 706 565 |
Jun 28, 2021 | £166.60 | £167.40 | £164.60 | £165.00 | 432 272 |
Jun 25, 2021 | £164.30 | £166.40 | £162.36 | £166.40 | 623 509 |
Jun 24, 2021 | £168.40 | £168.40 | £164.00 | £164.20 | 838 922 |
Jun 23, 2021 | £169.28 | £171.00 | £167.20 | £168.20 | 652 612 |
Jun 22, 2021 | £165.10 | £172.00 | £165.10 | £169.00 | 917 633 |
Jun 21, 2021 | £164.00 | £167.80 | £161.67 | £165.60 | 1 140 855 |
Jun 18, 2021 | £166.40 | £167.80 | £163.00 | £164.40 | 3 322 250 |
Jun 17, 2021 | £166.60 | £167.00 | £164.00 | £166.20 | 858 127 |
Jun 16, 2021 | £170.40 | £171.80 | £166.00 | £167.00 | 977 234 |
Jun 15, 2021 | £175.20 | £175.20 | £169.00 | £169.60 | 1 011 177 |
Jun 14, 2021 | £177.60 | £179.00 | £173.50 | £173.60 | 726 581 |
Jun 11, 2021 | £176.00 | £177.20 | £174.40 | £177.00 | 994 212 |
Jun 10, 2021 | £174.89 | £179.00 | £174.80 | £176.60 | 1 302 407 |
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 DIGS.L stock historical prices to predict future price movements?
Trend Analysis: Examine the DIGS.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 DIGS.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.