XLON:EPO
Delisted
Earthport Stock Price (Quote)
£36.90
+0 (+0%)
At Close: Sep 05, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £36.90 | £36.90 | Thursday, 5th Sep 2019 EPO.L stock ended at £36.90. During the day the stock fluctuated 0% from a day low at £36.90 to a day high of £36.90. |
90 days | £36.90 | £36.90 | |
52 weeks | £0.276 | £49.90 |
Date | Open | High | Low | Close | Volume |
Feb 16, 2016 | £25.50 | £25.50 | £24.50 | £24.75 | 321 340 |
Feb 15, 2016 | £25.75 | £25.75 | £24.50 | £25.00 | 1 441 178 |
Feb 12, 2016 | £27.00 | £27.00 | £25.75 | £25.75 | 303 248 |
Feb 11, 2016 | £26.75 | £27.00 | £26.75 | £27.00 | 173 498 |
Feb 10, 2016 | £27.00 | £27.25 | £27.00 | £27.13 | 370 412 |
Feb 09, 2016 | £26.75 | £28.00 | £26.75 | £27.00 | 193 532 |
Feb 08, 2016 | £27.00 | £27.38 | £26.75 | £27.38 | 30 635 |
Feb 05, 2016 | £27.00 | £28.00 | £27.00 | £27.00 | 152 101 |
Feb 04, 2016 | £27.50 | £28.00 | £27.50 | £28.00 | 166 868 |
Feb 03, 2016 | £27.25 | £29.00 | £27.00 | £27.75 | 236 153 |
Feb 02, 2016 | £27.88 | £27.88 | £27.88 | £27.88 | 861 601 |
Feb 01, 2016 | £27.63 | £28.50 | £27.63 | £27.63 | 146 136 |
Jan 29, 2016 | £29.50 | £29.50 | £27.50 | £28.50 | 194 193 |
Jan 28, 2016 | £28.00 | £28.75 | £28.00 | £28.25 | 377 831 |
Jan 27, 2016 | £28.75 | £29.50 | £28.50 | £28.50 | 1 420 416 |
Jan 26, 2016 | £28.50 | £28.50 | £27.75 | £28.25 | 1 122 568 |
Jan 25, 2016 | £30.50 | £30.75 | £28.00 | £28.25 | 1 512 533 |
Jan 22, 2016 | £27.25 | £33.00 | £27.25 | £32.00 | 360 426 |
Jan 21, 2016 | £25.50 | £28.00 | £25.50 | £27.25 | 350 998 |
Jan 20, 2016 | £28.00 | £28.00 | £25.50 | £26.00 | 1 185 969 |
Jan 19, 2016 | £28.50 | £28.50 | £28.50 | £28.50 | 145 281 |
Jan 18, 2016 | £31.00 | £31.00 | £29.00 | £29.50 | 331 302 |
Jan 15, 2016 | £31.75 | £32.00 | £29.00 | £32.00 | 2 983 919 |
Jan 14, 2016 | £32.50 | £33.25 | £32.00 | £32.25 | 4 884 986 |
Jan 13, 2016 | £32.50 | £33.50 | £32.50 | £32.50 | 1 599 069 |
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 EPO.L stock historical prices to predict future price movements?
Trend Analysis: Examine the EPO.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 EPO.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.