Europlasma SA Stock Price (Quote)
0.0003€
-0.0002 (-40.00%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.0001€ | 0.0026€ | Friday, 24th May 2024 ALEUP.PA stock ended at 0.0003€. This is 40.00% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 150.00% from a day low at 0.0002€ to a day high of 0.0005€. |
90 days | 0.0001€ | 0.0026€ | |
52 weeks | 0.0001€ | 0.408€ |
Date | Open | High | Low | Close | Volume |
Jan 19, 2022 | 0.122€ | 0.122€ | 0.116€ | 0.117€ | 2 988 563 |
Jan 18, 2022 | 0.120€ | 0.126€ | 0.120€ | 0.122€ | 5 247 142 |
Jan 17, 2022 | 0.125€ | 0.125€ | 0.120€ | 0.121€ | 3 854 180 |
Jan 14, 2022 | 0.127€ | 0.138€ | 0.119€ | 0.123€ | 12 985 588 |
Jan 13, 2022 | 0.123€ | 0.128€ | 0.120€ | 0.126€ | 4 361 736 |
Jan 12, 2022 | 0.128€ | 0.129€ | 0.120€ | 0.121€ | 4 126 486 |
Jan 11, 2022 | 0.139€ | 0.150€ | 0.121€ | 0.121€ | 3 207 215 |
Jan 10, 2022 | 0.139€ | 0.150€ | 0.123€ | 0.124€ | 16 643 174 |
Jan 07, 2022 | 0.139€ | 0.155€ | 0.123€ | 0.125€ | 13 678 239 |
Jan 06, 2022 | 0.121€ | 0.125€ | 0.115€ | 0.120€ | 2 404 630 |
Jan 05, 2022 | 0.112€ | 0.133€ | 0.110€ | 0.124€ | 6 760 146 |
Jan 04, 2022 | 0.116€ | 0.116€ | 0.112€ | 0.114€ | 2 411 518 |
Jan 03, 2022 | 0.125€ | 0.125€ | 0.115€ | 0.119€ | 3 193 337 |
Dec 31, 2021 | 0.114€ | 0.138€ | 0.112€ | 0.121€ | 5 549 622 |
Dec 30, 2021 | 0.116€ | 0.116€ | 0.112€ | 0.113€ | 989 953 |
Dec 29, 2021 | 0.112€ | 0.117€ | 0.110€ | 0.116€ | 2 359 550 |
Dec 28, 2021 | 0.118€ | 0.127€ | 0.112€ | 0.118€ | 2 865 693 |
Dec 27, 2021 | 0.128€ | 0.128€ | 0.110€ | 0.115€ | 3 182 981 |
Dec 24, 2021 | 0.132€ | 0.132€ | 0.120€ | 0.120€ | 2 229 207 |
Dec 23, 2021 | 0.136€ | 0.154€ | 0.132€ | 0.134€ | 4 512 962 |
Dec 22, 2021 | 0.116€ | 0.139€ | 0.116€ | 0.134€ | 5 511 327 |
Dec 21, 2021 | 0.117€ | 0.119€ | 0.115€ | 0.116€ | 1 519 264 |
Dec 20, 2021 | 0.125€ | 0.125€ | 0.113€ | 0.119€ | 2 027 346 |
Dec 17, 2021 | 0.144€ | 0.145€ | 0.124€ | 0.126€ | 3 216 434 |
Dec 16, 2021 | 0.164€ | 0.182€ | 0.141€ | 0.143€ | 4 066 822 |
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.