PAR:ALEUP
Europlasma SA Stock Price (Quote)
0.95€
+0.0077 (+0.81%)
At Close: Jun 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.0002€ | 2.14€ | Monday, 17th Jun 2024 ALEUP.PA stock ended at 0.95€. This is 0.81% more than the trading day before Friday, 14th Jun 2024. During the day the stock fluctuated 6.45% from a day low at 0.93€ to a day high of 0.99€. |
90 days | 0.0001€ | 2.14€ | |
52 weeks | 0.0001€ | 2.14€ |
Historical Europlasma SA prices
Date | Open | High | Low | Close | Volume |
May 30, 2022 | 0.0094€ | 0.0101€ | 0.0092€ | 0.0095€ | 0 |
May 27, 2022 | 0.0092€ | 0.0096€ | 0.0090€ | 0.0092€ | 11 437 628 |
May 26, 2022 | 0.0096€ | 0.0102€ | 0.0090€ | 0.0091€ | 0 |
May 25, 2022 | 0.0102€ | 0.0102€ | 0.0093€ | 0.0095€ | 0 |
May 24, 2022 | 0.0106€ | 0.0106€ | 0.0100€ | 0.0103€ | 0 |
May 23, 2022 | 0.0128€ | 0.0128€ | 0.0128€ | 0.0128€ | 0 |
May 20, 2022 | 0.0104€ | 0.0145€ | 0.0104€ | 0.0128€ | 72 691 331 |
May 19, 2022 | 0.0104€ | 0.0107€ | 0.0102€ | 0.0105€ | 8 023 950 |
May 18, 2022 | 0.0106€ | 0.0107€ | 0.0102€ | 0.0102€ | 7 408 386 |
May 17, 2022 | 0.0104€ | 0.0111€ | 0.0102€ | 0.0105€ | 8 987 860 |
May 16, 2022 | 0.0104€ | 0.0105€ | 0.0101€ | 0.0104€ | 10 565 326 |
May 13, 2022 | 0.0111€ | 0.0117€ | 0.0101€ | 0.0102€ | 10 825 905 |
May 12, 2022 | 0.0109€ | 0.0109€ | 0.0101€ | 0.0106€ | 6 667 797 |
May 11, 2022 | 0.0120€ | 0.0120€ | 0.0103€ | 0.0105€ | 25 030 633 |
May 10, 2022 | 0.0146€ | 0.0146€ | 0.0113€ | 0.0119€ | 36 279 602 |
May 09, 2022 | 0.0159€ | 0.0168€ | 0.0130€ | 0.0143€ | 42 618 028 |
May 06, 2022 | 0.0145€ | 0.0155€ | 0.0126€ | 0.0129€ | 8 988 717 |
May 05, 2022 | 0.0164€ | 0.0165€ | 0.0143€ | 0.0144€ | 9 522 680 |
May 04, 2022 | 0.0176€ | 0.0176€ | 0.0160€ | 0.0164€ | 6 867 421 |
May 03, 2022 | 0.0174€ | 0.0178€ | 0.0166€ | 0.0173€ | 5 015 303 |
May 02, 2022 | 0.0176€ | 0.0177€ | 0.0163€ | 0.0164€ | 4 295 926 |
Apr 29, 2022 | 0.0190€ | 0.0192€ | 0.0164€ | 0.0177€ | 10 982 929 |
Apr 28, 2022 | 0.0180€ | 0.0195€ | 0.0167€ | 0.0190€ | 5 551 542 |
Apr 27, 2022 | 0.0204€ | 0.0208€ | 0.0180€ | 0.0184€ | 13 152 622 |
Apr 26, 2022 | 0.0250€ | 0.0252€ | 0.0200€ | 0.0206€ | 21 184 846 |
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.