PAR:AIR
Airbus SE Stock Price (Quote)
143.82€
-1.98 (-1.36%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 141.74€ | 162.46€ | Friday, 14th Jun 2024 AIR.PA stock ended at 143.82€. This is 1.36% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.88% from a day low at 141.74€ to a day high of 145.82€. |
90 days | 141.74€ | 172.78€ | |
52 weeks | 120.28€ | 172.78€ |
Historical Airbus SE prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2024 | 145.60€ | 145.82€ | 141.74€ | 143.82€ | 1 550 146 |
Jun 13, 2024 | 149.00€ | 149.30€ | 145.80€ | 145.80€ | 1 381 745 |
Jun 12, 2024 | 149.30€ | 149.92€ | 148.14€ | 149.36€ | 768 246 |
Jun 11, 2024 | 150.00€ | 150.62€ | 147.12€ | 148.50€ | 975 649 |
Jun 10, 2024 | 147.88€ | 149.46€ | 146.60€ | 149.46€ | 1 097 412 |
Jun 07, 2024 | 153.00€ | 153.14€ | 148.74€ | 150.00€ | 1 351 369 |
Jun 06, 2024 | 153.78€ | 154.38€ | 152.62€ | 153.52€ | 759 232 |
Jun 05, 2024 | 153.48€ | 154.32€ | 152.68€ | 153.18€ | 1 013 855 |
Jun 04, 2024 | 154.64€ | 155.80€ | 152.50€ | 152.60€ | 1 307 181 |
Jun 03, 2024 | 157.18€ | 157.74€ | 154.70€ | 155.30€ | 824 743 |
May 31, 2024 | 159.34€ | 159.74€ | 154.42€ | 155.90€ | 1 980 687 |
May 30, 2024 | 156.14€ | 160.06€ | 156.00€ | 159.10€ | 720 517 |
May 29, 2024 | 157.84€ | 158.12€ | 156.30€ | 156.74€ | 699 281 |
May 28, 2024 | 159.70€ | 160.50€ | 157.74€ | 158.46€ | 541 144 |
May 27, 2024 | 159.00€ | 159.46€ | 158.24€ | 159.46€ | 449 470 |
May 24, 2024 | 160.30€ | 160.42€ | 158.42€ | 159.12€ | 880 872 |
May 23, 2024 | 160.50€ | 161.86€ | 159.94€ | 161.28€ | 659 453 |
May 22, 2024 | 162.00€ | 162.46€ | 160.38€ | 160.40€ | 484 633 |
May 21, 2024 | 161.24€ | 161.88€ | 159.18€ | 161.34€ | 586 277 |
May 20, 2024 | 159.32€ | 161.42€ | 158.94€ | 160.94€ | 423 939 |
May 17, 2024 | 158.12€ | 159.36€ | 157.84€ | 158.96€ | 650 935 |
May 16, 2024 | 159.70€ | 159.88€ | 158.00€ | 158.96€ | 486 353 |
May 15, 2024 | 159.52€ | 160.28€ | 158.92€ | 160.00€ | 596 561 |
May 14, 2024 | 157.72€ | 158.70€ | 157.04€ | 158.70€ | 660 035 |
May 13, 2024 | 159.54€ | 159.90€ | 156.72€ | 157.96€ | 800 257 |
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 AIR.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the AIR.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 AIR.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.