FRA:AIXA
AIXTRON SE Stock Price (Quote)
20.94€
-0.620 (-2.88%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 20.72€ | 24.18€ | Friday, 31st May 2024 AIXA.F stock ended at 20.94€. This is 2.88% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.14% from a day low at 20.72€ to a day high of 21.37€. |
90 days | 20.72€ | 28.82€ | |
52 weeks | 20.72€ | 39.89€ |
Historical AIXTRON SE prices
Date | Open | High | Low | Close | Volume |
Oct 26, 2023 | 26.50€ | 28.97€ | 26.40€ | 28.30€ | 929 907 |
Oct 25, 2023 | 29.60€ | 29.70€ | 28.02€ | 28.52€ | 533 205 |
Oct 24, 2023 | 29.22€ | 29.53€ | 28.86€ | 29.40€ | 400 672 |
Oct 23, 2023 | 28.65€ | 29.36€ | 28.49€ | 29.22€ | 448 589 |
Oct 20, 2023 | 29.08€ | 29.21€ | 28.42€ | 28.60€ | 485 805 |
Oct 19, 2023 | 28.34€ | 29.46€ | 28.33€ | 29.11€ | 542 741 |
Oct 18, 2023 | 28.54€ | 29.06€ | 27.71€ | 28.39€ | 646 714 |
Oct 17, 2023 | 29.00€ | 29.40€ | 28.49€ | 29.20€ | 379 627 |
Oct 16, 2023 | 30.00€ | 30.11€ | 28.91€ | 29.17€ | 751 989 |
Oct 13, 2023 | 31.01€ | 31.06€ | 29.83€ | 30.10€ | 633 839 |
Oct 12, 2023 | 31.55€ | 31.83€ | 30.26€ | 30.97€ | 561 415 |
Oct 11, 2023 | 31.13€ | 31.98€ | 30.50€ | 31.35€ | 437 614 |
Oct 10, 2023 | 32.50€ | 32.50€ | 31.10€ | 31.74€ | 647 934 |
Oct 09, 2023 | 32.79€ | 33.13€ | 32.24€ | 32.24€ | 407 751 |
Oct 06, 2023 | 33.45€ | 33.81€ | 32.03€ | 33.01€ | 618 562 |
Oct 05, 2023 | 34.88€ | 35.47€ | 33.31€ | 33.40€ | 554 476 |
Oct 04, 2023 | 33.44€ | 34.89€ | 33.26€ | 34.83€ | 223 965 |
Oct 03, 2023 | 34.10€ | 34.35€ | 33.81€ | 33.81€ | 186 340 |
Oct 02, 2023 | 35.05€ | 35.06€ | 33.80€ | 34.29€ | 283 090 |
Sep 29, 2023 | 35.13€ | 35.50€ | 34.82€ | 34.82€ | 366 063 |
Sep 28, 2023 | 33.71€ | 34.58€ | 33.61€ | 34.57€ | 306 250 |
Sep 27, 2023 | 33.02€ | 33.88€ | 32.91€ | 33.67€ | 269 175 |
Sep 26, 2023 | 33.43€ | 33.43€ | 32.50€ | 32.50€ | 215 |
Sep 25, 2023 | 33.58€ | 33.69€ | 33.40€ | 33.40€ | 665 |
Sep 22, 2023 | 33.30€ | 33.63€ | 33.20€ | 33.63€ | 660 |
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 AIXA.F stock historical prices to predict future price movements?
Trend Analysis: Examine the AIXA.F 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 AIXA.F 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.