XLON:ORCP
Oracle Power Plc Stock Price (Quote)
£0.0200
+0.0005 (+2.56%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0180 | £0.0350 | Friday, 17th May 2024 ORCP.L stock ended at £0.0200. This is 2.56% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 10.53% from a day low at £0.0190 to a day high of £0.0210. |
90 days | £0.0180 | £0.0450 | |
52 weeks | £0.0180 | £0.148 |
Date | Open | High | Low | Close | Volume |
Aug 02, 2023 | £0.105 | £0.105 | £0.100 | £0.105 | 3 062 592 |
Aug 01, 2023 | £0.105 | £0.110 | £0.101 | £0.105 | 1 118 850 |
Jul 31, 2023 | £0.105 | £0.110 | £0.100 | £0.105 | 1 700 090 |
Jul 28, 2023 | £0.103 | £0.110 | £0.100 | £0.100 | 18 147 978 |
Jul 27, 2023 | £0.103 | £0.105 | £0.0950 | £0.100 | 6 807 355 |
Jul 26, 2023 | £0.100 | £0.105 | £0.0960 | £0.103 | 9 481 964 |
Jul 25, 2023 | £0.0961 | £0.105 | £0.0961 | £0.100 | 163 847 013 |
Jul 24, 2023 | £0.0988 | £0.105 | £0.0900 | £0.0975 | 1 672 901 |
Jul 21, 2023 | £0.0975 | £0.0975 | £0.0975 | £0.0975 | 0 |
Jul 20, 2023 | £0.102 | £0.105 | £0.0939 | £0.0975 | 1 159 347 |
Jul 19, 2023 | £0.100 | £0.105 | £0.0928 | £0.0975 | 16 318 729 |
Jul 18, 2023 | £0.102 | £0.110 | £0.100 | £0.103 | 26 751 571 |
Jul 17, 2023 | £0.102 | £0.103 | £0.0960 | £0.100 | 663 427 |
Jul 14, 2023 | £0.0975 | £0.105 | £0.0975 | £0.100 | 4 446 675 |
Jul 13, 2023 | £0.0950 | £0.105 | £0.0950 | £0.100 | 6 091 824 |
Jul 12, 2023 | £0.104 | £0.104 | £0.0977 | £0.100 | 4 153 793 |
Jul 11, 2023 | £0.101 | £0.105 | £0.0950 | £0.0977 | 8 783 435 |
Jul 10, 2023 | £0.103 | £0.103 | £0.103 | £0.103 | 0 |
Jul 07, 2023 | £0.102 | £0.103 | £0.102 | £0.103 | 4 468 |
Jul 06, 2023 | £0.102 | £0.103 | £0.102 | £0.103 | 1 380 443 |
Jul 05, 2023 | £0.105 | £0.105 | £0.100 | £0.103 | 20 761 367 |
Jul 04, 2023 | £0.0980 | £0.110 | £0.0950 | £0.100 | 24 182 899 |
Jul 03, 2023 | £0.0925 | £0.0925 | £0.0925 | £0.0925 | 0 |
Jun 30, 2023 | £0.0940 | £0.0950 | £0.0925 | £0.0925 | 10 914 847 |
Jun 29, 2023 | £0.0900 | £0.0948 | £0.0900 | £0.0925 | 15 248 710 |
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 ORCP.L stock historical prices to predict future price movements?
Trend Analysis: Examine the ORCP.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 ORCP.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.