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 |
Oct 12, 2023 | £0.0350 | £0.0350 | £0.0250 | £0.0275 | 54 829 703 |
Oct 11, 2023 | £0.0305 | £0.0350 | £0.0289 | £0.0350 | 1 221 267 |
Oct 10, 2023 | £0.0303 | £0.0350 | £0.0287 | £0.0300 | 15 390 365 |
Oct 09, 2023 | £0.0282 | £0.0306 | £0.0282 | £0.0300 | 939 026 |
Oct 06, 2023 | £0.0350 | £0.0350 | £0.0277 | £0.0300 | 41 257 695 |
Oct 05, 2023 | £0.0325 | £0.0325 | £0.0325 | £0.0325 | 0 |
Oct 04, 2023 | £0.0355 | £0.0367 | £0.0241 | £0.0310 | 316 685 975 |
Oct 03, 2023 | £0.0800 | £0.0800 | £0.0720 | £0.0760 | 37 689 811 |
Oct 02, 2023 | £0.0781 | £0.0781 | £0.0781 | £0.0781 | 0 |
Sep 29, 2023 | £0.0777 | £0.0850 | £0.0720 | £0.0781 | 21 858 353 |
Sep 28, 2023 | £0.0777 | £0.0790 | £0.0730 | £0.0760 | 1 318 574 |
Sep 27, 2023 | £0.0726 | £0.0800 | £0.0700 | £0.0760 | 20 419 578 |
Sep 26, 2023 | £0.0740 | £0.0750 | £0.0723 | £0.0725 | 13 006 346 |
Sep 25, 2023 | £0.0711 | £0.0800 | £0.0711 | £0.0740 | 23 396 346 |
Sep 22, 2023 | £0.0801 | £0.0845 | £0.0797 | £0.0825 | 9 999 261 |
Sep 21, 2023 | £0.0880 | £0.0900 | £0.0820 | £0.0830 | 13 019 400 |
Sep 20, 2023 | £0.0880 | £0.0880 | £0.0850 | £0.0880 | 1 911 846 |
Sep 19, 2023 | £0.0880 | £0.0900 | £0.0860 | £0.0880 | 4 385 933 |
Sep 18, 2023 | £0.0900 | £0.0910 | £0.0850 | £0.0880 | 1 744 694 |
Sep 15, 2023 | £0.0936 | £0.0936 | £0.0800 | £0.0900 | 17 919 251 |
Sep 14, 2023 | £0.0850 | £0.0930 | £0.0850 | £0.0930 | 9 007 495 |
Sep 13, 2023 | £0.0910 | £0.0940 | £0.0875 | £0.0875 | 7 995 535 |
Sep 12, 2023 | £0.100 | £0.110 | £0.0910 | £0.0925 | 66 098 630 |
Sep 11, 2023 | £0.0895 | £0.0900 | £0.0875 | £0.0875 | 2 046 520 |
Sep 08, 2023 | £0.0895 | £0.0900 | £0.0895 | £0.0895 | 6 681 272 |
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.