XLON:ORPH
Delisted
Open Orphan Plc Stock Price (Quote)
£14.90
+0 (+0%)
At Close: Mar 21, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £14.90 | £14.90 | Tuesday, 21st Mar 2023 ORPH.L stock ended at £14.90. During the day the stock fluctuated 0% from a day low at £14.90 to a day high of £14.90. |
90 days | £9.62 | £16.80 | |
52 weeks | £8.68 | £19.00 |
Date | Open | High | Low | Close | Volume |
Sep 19, 2022 | £10.25 | £10.25 | £10.25 | £10.25 | 0 |
Sep 16, 2022 | £10.00 | £10.48 | £9.68 | £10.25 | 1 219 304 |
Sep 15, 2022 | £9.25 | £10.20 | £9.10 | £10.00 | 2 210 991 |
Sep 14, 2022 | £9.75 | £9.91 | £8.68 | £8.80 | 4 273 434 |
Sep 13, 2022 | £10.18 | £10.18 | £9.50 | £9.75 | 1 191 205 |
Sep 12, 2022 | £10.35 | £10.62 | £9.72 | £10.00 | 3 094 138 |
Sep 09, 2022 | £10.60 | £10.72 | £10.20 | £10.35 | 1 891 179 |
Sep 08, 2022 | £10.75 | £11.34 | £10.40 | £10.60 | 1 836 350 |
Sep 07, 2022 | £10.75 | £10.94 | £10.21 | £10.50 | 1 810 378 |
Sep 06, 2022 | £11.18 | £11.18 | £10.50 | £10.75 | 1 784 442 |
Sep 05, 2022 | £11.25 | £11.75 | £11.01 | £11.25 | 1 147 822 |
Sep 02, 2022 | £10.60 | £11.50 | £10.20 | £11.25 | 1 395 714 |
Sep 01, 2022 | £10.45 | £10.95 | £10.20 | £10.20 | 615 347 |
Aug 31, 2022 | £10.68 | £10.68 | £10.15 | £10.45 | 1 018 234 |
Aug 30, 2022 | £11.00 | £11.12 | £10.50 | £10.75 | 1 226 303 |
Aug 26, 2022 | £10.79 | £11.25 | £10.79 | £11.00 | 524 294 |
Aug 25, 2022 | £11.00 | £11.27 | £10.71 | £10.75 | 1 048 736 |
Aug 24, 2022 | £11.50 | £11.72 | £10.71 | £10.98 | 983 106 |
Aug 23, 2022 | £11.75 | £11.93 | £11.32 | £11.50 | 771 366 |
Aug 22, 2022 | £11.50 | £12.40 | £11.40 | £11.90 | 2 210 732 |
Aug 19, 2022 | £11.83 | £11.83 | £11.11 | £11.25 | 424 146 |
Aug 18, 2022 | £11.85 | £12.44 | £11.56 | £11.85 | 1 742 424 |
Aug 17, 2022 | £11.27 | £12.00 | £11.27 | £11.85 | 1 736 529 |
Aug 16, 2022 | £10.75 | £11.35 | £10.66 | £11.25 | 964 560 |
Aug 15, 2022 | £10.98 | £10.98 | £10.56 | £10.75 | 725 768 |
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 ORPH.L stock historical prices to predict future price movements?
Trend Analysis: Examine the ORPH.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 ORPH.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.