PAR:ERF
Eurofins Scientific SE Stock Price (Quote)
55.36€
-0.220 (-0.396%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 55.14€ | 60.60€ | Friday, 31st May 2024 ERF.PA stock ended at 55.36€. This is 0.396% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 0.91% from a day low at 55.20€ to a day high of 55.70€. |
90 days | 53.80€ | 62.10€ | |
52 weeks | 44.83€ | 63.74€ |
Historical Eurofins Scientific SE prices
Date | Open | High | Low | Close | Volume |
Mar 19, 2024 | 55.98€ | 56.60€ | 55.84€ | 56.56€ | 150 207 |
Mar 18, 2024 | 56.20€ | 56.36€ | 55.76€ | 56.00€ | 249 782 |
Mar 15, 2024 | 56.06€ | 56.60€ | 55.48€ | 56.10€ | 709 314 |
Mar 14, 2024 | 57.74€ | 58.06€ | 56.10€ | 56.20€ | 305 860 |
Mar 13, 2024 | 58.08€ | 58.76€ | 57.58€ | 57.58€ | 302 329 |
Mar 12, 2024 | 57.30€ | 57.94€ | 57.06€ | 57.78€ | 359 800 |
Mar 11, 2024 | 55.44€ | 57.08€ | 55.44€ | 57.08€ | 383 924 |
Mar 08, 2024 | 55.54€ | 56.38€ | 55.32€ | 55.94€ | 210 450 |
Mar 07, 2024 | 54.82€ | 55.70€ | 54.58€ | 55.64€ | 283 191 |
Mar 06, 2024 | 55.06€ | 55.40€ | 54.58€ | 54.98€ | 277 046 |
Mar 05, 2024 | 55.14€ | 55.24€ | 53.80€ | 54.60€ | 351 821 |
Mar 04, 2024 | 55.56€ | 55.72€ | 54.94€ | 55.20€ | 231 038 |
Mar 01, 2024 | 55.32€ | 55.92€ | 54.94€ | 55.54€ | 233 704 |
Feb 29, 2024 | 54.70€ | 55.80€ | 54.64€ | 55.24€ | 626 528 |
Feb 28, 2024 | 54.44€ | 57.02€ | 54.00€ | 54.32€ | 544 073 |
Feb 27, 2024 | 55.58€ | 55.68€ | 51.32€ | 54.74€ | 1 355 638 |
Feb 26, 2024 | 57.74€ | 58.82€ | 57.58€ | 58.64€ | 469 018 |
Feb 23, 2024 | 57.60€ | 58.26€ | 57.50€ | 58.02€ | 247 220 |
Feb 22, 2024 | 57.88€ | 58.46€ | 57.42€ | 57.48€ | 305 119 |
Feb 21, 2024 | 57.04€ | 58.06€ | 57.02€ | 57.40€ | 287 971 |
Feb 20, 2024 | 57.64€ | 58.00€ | 57.26€ | 57.58€ | 257 968 |
Feb 19, 2024 | 57.56€ | 57.82€ | 56.96€ | 57.82€ | 254 088 |
Feb 16, 2024 | 55.72€ | 58.08€ | 55.58€ | 57.84€ | 422 941 |
Feb 15, 2024 | 55.50€ | 55.80€ | 55.28€ | 55.44€ | 257 522 |
Feb 14, 2024 | 54.10€ | 55.20€ | 53.92€ | 55.14€ | 287 615 |
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 ERF.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the ERF.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 ERF.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.