XLON:SOPH
Delisted
Sophos Group Plc Stock Price (Quote)
£5.80
+0 (+0%)
At Close: Mar 11, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £5.62 | £5.82 | Wednesday, 11th Mar 2020 SOPH.L stock ended at £5.80. During the day the stock fluctuated 0% from a day low at £5.80 to a day high of £5.80. |
90 days | £5.42 | £5.82 | |
52 weeks | £2.94 | £5.87 |
Date | Open | High | Low | Close | Volume |
Apr 25, 2019 | £3.60 | £3.63 | £3.59 | £3.59 | 815 387 |
Apr 24, 2019 | £3.60 | £3.64 | £3.58 | £3.61 | 1 646 267 |
Apr 23, 2019 | £3.62 | £3.62 | £3.58 | £3.60 | 1 790 294 |
Apr 22, 2019 | £3.59 | £3.59 | £3.59 | £3.59 | 0 |
Apr 18, 2019 | £3.64 | £3.66 | £3.57 | £3.59 | 2 176 666 |
Apr 17, 2019 | £3.60 | £3.69 | £3.57 | £3.64 | 1 891 094 |
Apr 16, 2019 | £3.58 | £3.69 | £3.57 | £3.63 | 1 620 922 |
Apr 15, 2019 | £3.54 | £3.59 | £3.49 | £3.57 | 1 590 302 |
Apr 12, 2019 | £3.45 | £3.57 | £3.42 | £3.57 | 1 308 555 |
Apr 11, 2019 | £3.38 | £3.45 | £3.37 | £3.44 | 972 129 |
Apr 10, 2019 | £3.36 | £3.43 | £3.33 | £3.39 | 986 504 |
Apr 09, 2019 | £3.30 | £3.35 | £3.27 | £3.33 | 2 965 917 |
Apr 08, 2019 | £3.16 | £3.28 | £3.15 | £3.27 | 1 343 836 |
Apr 05, 2019 | £3.17 | £3.21 | £3.12 | £3.19 | 840 601 |
Apr 04, 2019 | £3.16 | £3.26 | £3.16 | £3.16 | 1 283 999 |
Apr 03, 2019 | £3.11 | £3.21 | £3.09 | £3.19 | 1 121 692 |
Apr 02, 2019 | £3.05 | £3.12 | £3.03 | £3.10 | 1 337 022 |
Apr 01, 2019 | £3.00 | £3.06 | £3.00 | £3.05 | 1 623 211 |
Mar 29, 2019 | £3.00 | £3.02 | £2.95 | £3.01 | 1 255 521 |
Mar 28, 2019 | £3.00 | £3.02 | £2.97 | £2.99 | 1 102 895 |
Mar 27, 2019 | £2.98 | £3.02 | £2.98 | £2.98 | 631 929 |
Mar 26, 2019 | £3.05 | £3.05 | £2.97 | £3.00 | 2 793 079 |
Mar 25, 2019 | £3.16 | £3.16 | £2.94 | £3.06 | 1 886 621 |
Mar 22, 2019 | £3.21 | £3.23 | £3.17 | £3.18 | 566 187 |
Mar 21, 2019 | £3.20 | £3.21 | £3.14 | £3.19 | 826 942 |
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 SOPH.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SOPH.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 SOPH.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.