PAR:ELIOR
Elior Group S.A. Stock Price (Quote)
3.14€
-0.0460 (-1.44%)
At Close: Jun 19, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 3.01€ | 3.80€ | Wednesday, 19th Jun 2024 ELIOR.PA stock ended at 3.14€. This is 1.44% less than the trading day before Tuesday, 18th Jun 2024. During the day the stock fluctuated 3.18% from a day low at 3.14€ to a day high of 3.24€. |
90 days | 2.14€ | 3.98€ | |
52 weeks | 1.51€ | 3.98€ |
Historical Elior Group S.A. prices
Date | Open | High | Low | Close | Volume |
Jun 19, 2024 | 3.20€ | 3.24€ | 3.14€ | 3.14€ | 398 852 |
Jun 18, 2024 | 3.14€ | 3.20€ | 3.14€ | 3.19€ | 571 357 |
Jun 17, 2024 | 3.08€ | 3.18€ | 3.05€ | 3.13€ | 621 438 |
Jun 14, 2024 | 3.20€ | 3.24€ | 3.01€ | 3.09€ | 1 228 002 |
Jun 13, 2024 | 3.44€ | 3.44€ | 3.24€ | 3.25€ | 729 761 |
Jun 12, 2024 | 3.35€ | 3.46€ | 3.32€ | 3.46€ | 477 842 |
Jun 11, 2024 | 3.63€ | 3.63€ | 3.37€ | 3.38€ | 742 638 |
Jun 10, 2024 | 3.55€ | 3.61€ | 3.50€ | 3.60€ | 395 736 |
Jun 07, 2024 | 3.61€ | 3.67€ | 3.59€ | 3.63€ | 437 735 |
Jun 06, 2024 | 3.66€ | 3.71€ | 3.59€ | 3.60€ | 461 426 |
Jun 05, 2024 | 3.63€ | 3.71€ | 3.63€ | 3.64€ | 356 004 |
Jun 04, 2024 | 3.65€ | 3.66€ | 3.60€ | 3.60€ | 296 760 |
Jun 03, 2024 | 3.74€ | 3.75€ | 3.66€ | 3.66€ | 434 907 |
May 31, 2024 | 3.68€ | 3.75€ | 3.67€ | 3.68€ | 804 020 |
May 30, 2024 | 3.59€ | 3.72€ | 3.56€ | 3.64€ | 701 004 |
May 29, 2024 | 3.56€ | 3.64€ | 3.54€ | 3.59€ | 430 407 |
May 28, 2024 | 3.69€ | 3.77€ | 3.55€ | 3.56€ | 752 859 |
May 27, 2024 | 3.54€ | 3.68€ | 3.51€ | 3.67€ | 634 377 |
May 24, 2024 | 3.47€ | 3.53€ | 3.44€ | 3.53€ | 545 464 |
May 23, 2024 | 3.58€ | 3.60€ | 3.48€ | 3.48€ | 541 366 |
May 22, 2024 | 3.55€ | 3.57€ | 3.38€ | 3.55€ | 1 280 556 |
May 21, 2024 | 3.80€ | 3.80€ | 3.54€ | 3.56€ | 1 162 827 |
May 20, 2024 | 3.78€ | 3.80€ | 3.68€ | 3.78€ | 1 530 789 |
May 17, 2024 | 3.75€ | 3.82€ | 3.67€ | 3.75€ | 1 949 011 |
May 16, 2024 | 3.31€ | 3.98€ | 3.31€ | 3.75€ | 5 656 194 |
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 ELIOR.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the ELIOR.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 ELIOR.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.