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 |
Dec 29, 2021 | £0.430 | £0.450 | £0.422 | £0.430 | 8 285 491 |
Dec 24, 2021 | £0.390 | £0.450 | £0.380 | £0.430 | 13 694 043 |
Dec 23, 2021 | £0.410 | £0.420 | £0.380 | £0.390 | 27 372 903 |
Dec 22, 2021 | £0.438 | £0.439 | £0.400 | £0.410 | 10 291 262 |
Dec 21, 2021 | £0.408 | £0.429 | £0.385 | £0.425 | 8 478 252 |
Dec 20, 2021 | £0.447 | £0.449 | £0.402 | £0.425 | 5 879 143 |
Dec 17, 2021 | £0.443 | £0.450 | £0.417 | £0.449 | 8 394 759 |
Dec 16, 2021 | £0.441 | £0.470 | £0.430 | £0.445 | 2 797 852 |
Dec 15, 2021 | £0.473 | £0.480 | £0.430 | £0.440 | 24 844 965 |
Dec 14, 2021 | £0.543 | £0.550 | £0.437 | £0.500 | 42 234 807 |
Dec 13, 2021 | £0.589 | £0.625 | £0.533 | £0.536 | 71 359 443 |
Dec 10, 2021 | £0.455 | £0.600 | £0.450 | £0.575 | 64 022 045 |
Dec 09, 2021 | £0.452 | £0.472 | £0.442 | £0.460 | 52 584 353 |
Dec 08, 2021 | £0.440 | £0.470 | £0.420 | £0.440 | 18 120 544 |
Dec 07, 2021 | £0.425 | £0.450 | £0.400 | £0.435 | 32 009 799 |
Dec 06, 2021 | £0.425 | £0.430 | £0.400 | £0.418 | 14 963 207 |
Dec 03, 2021 | £0.427 | £0.427 | £0.390 | £0.415 | 14 103 536 |
Dec 02, 2021 | £0.383 | £0.430 | £0.350 | £0.420 | 54 036 249 |
Dec 01, 2021 | £0.350 | £0.434 | £0.330 | £0.405 | 44 498 489 |
Nov 30, 2021 | £0.321 | £0.380 | £0.318 | £0.335 | 111 486 868 |
Nov 29, 2021 | £0.339 | £0.339 | £0.310 | £0.325 | 18 605 134 |
Nov 26, 2021 | £0.320 | £0.350 | £0.316 | £0.335 | 15 112 071 |
Nov 25, 2021 | £0.325 | £0.342 | £0.320 | £0.335 | 26 509 375 |
Nov 24, 2021 | £0.320 | £0.342 | £0.320 | £0.335 | 26 509 375 |
Nov 23, 2021 | £0.333 | £0.339 | £0.325 | £0.333 | 6 888 434 |
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.