XLON:EPWN
Epwin Group Plc Stock Price (Quote)
£89.50
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £87.00 | £95.00 | Thursday, 30th May 2024 EPWN.L stock ended at £89.50. During the day the stock fluctuated 0% from a day low at £89.50 to a day high of £89.50. |
90 days | £74.40 | £95.00 | |
52 weeks | £63.00 | £95.00 |
Historical Epwin Group Plc prices
Date | Open | High | Low | Close | Volume |
Feb 09, 2024 | £77.70 | £78.23 | £77.50 | £78.00 | 126 425 |
Feb 08, 2024 | £77.45 | £78.50 | £77.00 | £78.00 | 224 795 |
Feb 07, 2024 | £77.00 | £79.00 | £77.00 | £78.00 | 328 602 |
Feb 06, 2024 | £77.20 | £78.70 | £77.20 | £78.00 | 51 603 |
Feb 05, 2024 | £78.60 | £79.00 | £77.20 | £78.00 | 207 106 |
Feb 02, 2024 | £78.49 | £79.00 | £78.00 | £78.00 | 176 153 |
Feb 01, 2024 | £78.63 | £79.00 | £77.68 | £78.00 | 222 855 |
Jan 31, 2024 | £78.24 | £79.00 | £77.00 | £78.00 | 135 751 |
Jan 30, 2024 | £79.00 | £79.00 | £77.70 | £78.00 | 1 218 742 |
Jan 29, 2024 | £78.00 | £79.00 | £78.00 | £78.50 | 96 132 |
Jan 26, 2024 | £78.34 | £79.00 | £78.00 | £78.30 | 26 723 |
Jan 25, 2024 | £75.00 | £78.44 | £74.00 | £77.50 | 153 424 |
Jan 24, 2024 | £73.50 | £74.00 | £73.00 | £74.00 | 191 579 |
Jan 23, 2024 | £73.50 | £75.00 | £73.00 | £74.00 | 160 629 |
Jan 22, 2024 | £73.50 | £74.00 | £73.09 | £73.50 | 92 666 |
Jan 19, 2024 | £75.00 | £75.00 | £73.00 | £74.00 | 140 532 |
Jan 18, 2024 | £74.25 | £75.00 | £73.00 | £73.00 | 442 001 |
Jan 17, 2024 | £74.08 | £76.00 | £72.65 | £75.00 | 190 080 |
Jan 16, 2024 | £75.15 | £76.00 | £74.00 | £76.00 | 353 373 |
Jan 15, 2024 | £76.72 | £80.00 | £75.00 | £80.00 | 91 146 |
Jan 12, 2024 | £76.41 | £78.00 | £74.40 | £77.00 | 118 447 |
Jan 11, 2024 | £76.80 | £79.40 | £76.00 | £79.40 | 110 932 |
Jan 10, 2024 | £78.13 | £79.00 | £76.00 | £77.00 | 186 679 |
Jan 09, 2024 | £78.50 | £79.00 | £77.00 | £78.00 | 2 558 535 |
Jan 08, 2024 | £81.36 | £82.23 | £77.00 | £78.00 | 233 654 |
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 EPWN.L stock historical prices to predict future price movements?
Trend Analysis: Examine the EPWN.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 EPWN.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.