PAR:ALEUP
Europlasma SA Stock Price (Quote)
0.0005€
+0 (+0%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.0001€ | 0.0026€ | Thursday, 23rd May 2024 ALEUP.PA stock ended at 0.0005€. During the day the stock fluctuated 75.00% from a day low at 0.0004€ to a day high of 0.0007€. |
90 days | 0.0001€ | 0.0026€ | |
52 weeks | 0.0001€ | 0.408€ |
Date | Open | High | Low | Close | Volume |
Feb 05, 2024 | 0.0020€ | 0.0020€ | 0.0015€ | 0.0016€ | 116 691 973 |
Feb 02, 2024 | 0.0021€ | 0.0021€ | 0.0018€ | 0.0019€ | 98 625 721 |
Feb 01, 2024 | 0.0022€ | 0.0022€ | 0.0019€ | 0.0020€ | 153 917 047 |
Jan 31, 2024 | 0.0024€ | 0.0026€ | 0.0022€ | 0.0023€ | 200 914 804 |
Jan 30, 2024 | 0.0022€ | 0.0026€ | 0.0021€ | 0.0024€ | 276 049 458 |
Jan 29, 2024 | 0.0023€ | 0.0023€ | 0.0021€ | 0.0021€ | 141 847 778 |
Jan 26, 2024 | 0.0033€ | 0.0036€ | 0.0022€ | 0.0024€ | 420 857 409 |
Jan 25, 2024 | 0.0022€ | 0.0025€ | 0.0018€ | 0.0024€ | 161 118 295 |
Jan 24, 2024 | 0.0028€ | 0.0029€ | 0.0020€ | 0.0021€ | 167 402 969 |
Jan 23, 2024 | 0.0021€ | 0.0039€ | 0.0019€ | 0.0027€ | 309 901 781 |
Jan 22, 2024 | 0.0022€ | 0.0023€ | 0.0020€ | 0.0021€ | 25 763 991 |
Jan 19, 2024 | 0.0027€ | 0.0028€ | 0.0021€ | 0.0023€ | 48 967 435 |
Jan 18, 2024 | 0.0028€ | 0.0041€ | 0.0024€ | 0.0026€ | 114 403 022 |
Jan 17, 2024 | 0.0028€ | 0.0028€ | 0.0024€ | 0.0025€ | 19 199 816 |
Jan 16, 2024 | 0.0031€ | 0.0032€ | 0.0026€ | 0.0028€ | 22 854 693 |
Jan 15, 2024 | 0.0033€ | 0.0034€ | 0.0030€ | 0.0032€ | 26 076 249 |
Jan 12, 2024 | 0.0033€ | 0.0034€ | 0.0030€ | 0.0033€ | 23 697 693 |
Jan 11, 2024 | 0.0035€ | 0.0037€ | 0.0031€ | 0.0032€ | 26 745 880 |
Jan 10, 2024 | 0.0040€ | 0.0042€ | 0.0034€ | 0.0035€ | 35 095 472 |
Jan 09, 2024 | 0.0042€ | 0.0054€ | 0.0038€ | 0.0038€ | 84 014 385 |
Jan 08, 2024 | 0.0046€ | 0.0046€ | 0.0037€ | 0.0040€ | 24 210 348 |
Jan 05, 2024 | 0.0047€ | 0.0047€ | 0.0044€ | 0.0044€ | 19 876 688 |
Jan 04, 2024 | 0.0048€ | 0.0050€ | 0.0047€ | 0.0047€ | 5 980 971 |
Jan 03, 2024 | 0.0053€ | 0.0053€ | 0.0048€ | 0.0048€ | 15 567 792 |
Jan 02, 2024 | 0.0058€ | 0.0058€ | 0.0050€ | 0.0053€ | 22 245 139 |
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.