XLON:OPHR
Delisted
Ophir Energy PLC Stock Price (Quote)
£57.50
+0 (+0%)
At Close: Sep 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £57.50 | £57.50 | Tuesday, 17th Sep 2019 OPHR.L stock ended at £57.50. During the day the stock fluctuated 0% from a day low at £57.50 to a day high of £57.50. |
90 days | £57.50 | £57.50 | |
52 weeks | £0.558 | £57.60 |
Date | Open | High | Low | Close | Volume |
Nov 04, 2016 | £68.75 | £70.00 | £67.00 | £67.75 | 1 463 259 |
Nov 03, 2016 | £70.25 | £71.50 | £69.25 | £69.25 | 1 556 973 |
Nov 02, 2016 | £71.50 | £73.25 | £70.00 | £70.50 | 1 471 663 |
Nov 01, 2016 | £70.00 | £73.00 | £69.50 | £72.00 | 2 298 816 |
Oct 31, 2016 | £71.00 | £71.75 | £69.25 | £69.25 | 2 010 402 |
Oct 28, 2016 | £74.50 | £74.50 | £71.50 | £71.75 | 1 770 500 |
Oct 27, 2016 | £74.00 | £75.50 | £71.75 | £74.00 | 1 648 297 |
Oct 26, 2016 | £77.00 | £77.00 | £73.75 | £75.25 | 1 937 055 |
Oct 25, 2016 | £79.00 | £80.25 | £77.75 | £78.25 | 1 034 480 |
Oct 24, 2016 | £78.50 | £82.50 | £78.50 | £79.75 | 763 120 |
Oct 21, 2016 | £80.00 | £81.50 | £78.00 | £80.50 | 993 435 |
Oct 20, 2016 | £80.50 | £80.50 | £78.50 | £80.00 | 745 999 |
Oct 19, 2016 | £80.00 | £80.25 | £77.75 | £80.00 | 474 265 |
Oct 18, 2016 | £76.50 | £80.00 | £76.50 | £80.00 | 1 048 687 |
Oct 17, 2016 | £76.75 | £79.75 | £76.75 | £78.00 | 391 191 |
Oct 14, 2016 | £79.50 | £80.00 | £77.75 | £80.00 | 1 260 051 |
Oct 13, 2016 | £78.75 | £79.25 | £76.50 | £77.25 | 721 609 |
Oct 12, 2016 | £80.00 | £81.75 | £79.75 | £80.50 | 1 161 954 |
Oct 11, 2016 | £79.75 | £82.50 | £78.00 | £80.25 | 1 195 552 |
Oct 10, 2016 | £78.00 | £81.50 | £76.75 | £80.50 | 1 072 521 |
Oct 07, 2016 | £78.50 | £82.00 | £78.25 | £78.25 | 1 201 817 |
Oct 06, 2016 | £79.25 | £81.00 | £78.50 | £80.75 | 1 115 568 |
Oct 05, 2016 | £78.50 | £80.25 | £78.25 | £79.75 | 1 047 814 |
Oct 04, 2016 | £79.50 | £80.50 | £78.25 | £78.25 | 2 340 044 |
Oct 03, 2016 | £75.50 | £80.00 | £75.50 | £79.25 | 960 911 |
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 OPHR.L stock historical prices to predict future price movements?
Trend Analysis: Examine the OPHR.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 OPHR.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.