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 |
Apr 26, 2022 | £15.95 | £15.95 | £15.50 | £15.75 | 721 727 |
Apr 25, 2022 | £16.06 | £16.06 | £15.50 | £16.00 | 633 919 |
Apr 22, 2022 | £16.60 | £17.00 | £15.50 | £15.50 | 862 411 |
Apr 21, 2022 | £16.50 | £16.84 | £16.20 | £16.60 | 380 957 |
Apr 20, 2022 | £16.50 | £17.00 | £16.00 | £16.50 | 408 476 |
Apr 19, 2022 | £17.00 | £17.15 | £16.21 | £16.50 | 798 098 |
Apr 14, 2022 | £17.50 | £17.50 | £16.31 | £17.00 | 605 844 |
Apr 13, 2022 | £17.25 | £18.00 | £17.00 | £17.50 | 824 098 |
Apr 12, 2022 | £17.00 | £17.70 | £16.14 | £17.25 | 800 848 |
Apr 11, 2022 | £18.02 | £18.02 | £16.50 | £17.00 | 2 458 712 |
Apr 08, 2022 | £17.25 | £19.00 | £17.00 | £18.25 | 4 915 390 |
Apr 07, 2022 | £15.75 | £17.49 | £15.60 | £17.20 | 3 749 017 |
Apr 06, 2022 | £14.95 | £15.99 | £14.00 | £15.75 | 2 700 012 |
Apr 05, 2022 | £15.00 | £15.46 | £14.20 | £14.20 | 1 438 777 |
Apr 04, 2022 | £14.25 | £15.50 | £13.88 | £13.88 | 885 128 |
Apr 01, 2022 | £14.50 | £14.50 | £14.00 | £14.25 | 889 501 |
Mar 31, 2022 | £13.42 | £14.90 | £13.42 | £14.50 | 1 920 288 |
Mar 30, 2022 | £13.75 | £13.89 | £13.06 | £13.35 | 1 624 700 |
Mar 29, 2022 | £14.25 | £14.50 | £13.75 | £13.75 | 2 076 012 |
Mar 28, 2022 | £14.25 | £14.40 | £14.00 | £14.25 | 1 611 844 |
Mar 25, 2022 | £14.40 | £15.40 | £14.00 | £14.25 | 2 921 718 |
Mar 24, 2022 | £13.50 | £13.50 | £13.50 | £13.50 | 756 882 |
Mar 23, 2022 | £14.00 | £14.00 | £14.00 | £14.00 | 1 702 052 |
Mar 22, 2022 | £13.50 | £13.50 | £13.50 | £13.50 | 922 606 |
Mar 21, 2022 | £14.00 | £14.00 | £14.00 | £14.00 | 1 172 676 |
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.