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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

Historical Earthport prices

Date Open High Low Close Volume
Oct 16, 2018 £8.48 £8.48 £8.48 £8.24 4 087
Oct 15, 2018 £8.24 £8.24 £8.24 £8.24 0
Oct 12, 2018 £7.98 £8.46 £7.98 £8.24 215 194
Oct 11, 2018 £8.14 £8.14 £8.14 £8.14 0
Oct 10, 2018 £8.14 £8.14 £8.14 £8.14 0
Oct 09, 2018 £8.60 £8.60 £8.00 £8.14 361 381
Oct 08, 2018 £8.94 £8.98 £8.50 £8.64 1 482 314
Oct 05, 2018 £8.58 £8.98 £8.56 £8.77 82 284
Oct 04, 2018 £8.82 £9.28 £8.56 £8.59 2 422 290
Oct 03, 2018 £8.50 £8.98 £8.50 £8.77 916 426
Oct 02, 2018 £9.30 £9.30 £8.50 £8.72 3 313 306
Oct 01, 2018 £8.52 £9.02 £8.52 £8.87 1 938 794
Sep 28, 2018 £8.48 £8.48 £8.48 £8.29 51 647
Sep 27, 2018 £8.40 £8.48 £8.00 £8.25 632 424
Sep 26, 2018 £8.88 £8.88 £8.88 £8.74 1 273
Sep 25, 2018 £8.50 £8.88 £8.50 £8.74 92 899
Sep 24, 2018 £8.84 £8.84 £8.50 £8.60 171 357
Sep 21, 2018 £9.60 £9.60 £9.00 £8.91 534 992
Sep 20, 2018 £9.70 £9.70 £9.60 £9.56 162 816
Sep 19, 2018 £9.85 £9.85 £9.85 £9.85 0
Sep 18, 2018 £9.98 £9.98 £9.98 £9.85 16 248
Sep 17, 2018 £9.90 £9.90 £9.90 £9.87 17 780
Sep 14, 2018 £9.70 £9.84 £9.70 £10.05 4 900 533
Sep 13, 2018 £9.88 £9.88 £9.64 £9.67 103 750
Sep 12, 2018 £9.88 £10.00 £9.88 £10.04 104 305

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.

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.

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.

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.
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