PAR:ALEUP
Europlasma SA Stock Price (Quote)
0.0007€
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.0001€ | 0.0026€ | Friday, 17th May 2024 ALEUP.PA stock ended at 0.0007€. During the day the stock fluctuated 33.33% from a day low at 0.0006€ to a day high of 0.0008€. |
90 days | 0.0001€ | 0.0026€ | |
52 weeks | 0.0001€ | 0.408€ |
Date | Open | High | Low | Close | Volume |
Aug 03, 2023 | 0.119€ | 0.125€ | 0.102€ | 0.105€ | 1 851 439 |
Aug 02, 2023 | 0.124€ | 0.145€ | 0.104€ | 0.109€ | 3 037 508 |
Aug 01, 2023 | 0.102€ | 0.135€ | 0.0950€ | 0.122€ | 2 977 473 |
Jul 31, 2023 | 0.0932€ | 0.105€ | 0.0904€ | 0.105€ | 619 681 |
Jul 28, 2023 | 0.100€ | 0.103€ | 0.0867€ | 0.0911€ | 1 846 883 |
Jul 27, 2023 | 0.114€ | 0.119€ | 0.100€ | 0.103€ | 828 677 |
Jul 26, 2023 | 0.124€ | 0.124€ | 0.104€ | 0.107€ | 861 457 |
Jul 25, 2023 | 0.121€ | 0.130€ | 0.120€ | 0.120€ | 612 035 |
Jul 24, 2023 | 0.125€ | 0.126€ | 0.115€ | 0.121€ | 1 138 591 |
Jul 21, 2023 | 0.127€ | 0.127€ | 0.121€ | 0.121€ | 1 000 400 |
Jul 20, 2023 | 0.142€ | 0.142€ | 0.122€ | 0.129€ | 1 512 736 |
Jul 19, 2023 | 0.155€ | 0.155€ | 0.135€ | 0.138€ | 1 134 118 |
Jul 18, 2023 | 0.179€ | 0.195€ | 0.143€ | 0.147€ | 2 835 472 |
Jul 17, 2023 | 0.172€ | 0.174€ | 0.141€ | 0.146€ | 1 467 188 |
Jul 14, 2023 | 0.159€ | 0.179€ | 0.150€ | 0.156€ | 3 000 676 |
Jul 13, 2023 | 0.150€ | 0.152€ | 0.132€ | 0.141€ | 1 260 738 |
Jul 12, 2023 | 0.128€ | 0.200€ | 0.128€ | 0.138€ | 2 075 046 |
Jul 11, 2023 | 0.130€ | 0.135€ | 0.122€ | 0.126€ | 785 055 |
Jul 10, 2023 | 0.128€ | 0.128€ | 0.122€ | 0.124€ | 164 735 |
Jul 07, 2023 | 0.132€ | 0.132€ | 0.120€ | 0.126€ | 455 882 |
Jul 06, 2023 | 0.140€ | 0.140€ | 0.128€ | 0.133€ | 206 998 |
Jul 05, 2023 | 0.154€ | 0.154€ | 0.135€ | 0.139€ | 492 150 |
Jul 04, 2023 | 0.157€ | 0.157€ | 0.145€ | 0.152€ | 366 549 |
Jul 03, 2023 | 0.157€ | 0.167€ | 0.156€ | 0.156€ | 281 839 |
Jun 30, 2023 | 0.163€ | 0.167€ | 0.154€ | 0.157€ | 439 629 |
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 ALEUP.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the ALEUP.PA 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 ALEUP.PA 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.