GER:AT1
Aroundtown SA Stock Price (Quote)
2.06€
-0.136 (-6.19%)
At Close: May 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 1.93€ | 2.30€ | Wednesday, 29th May 2024 AT1.DE stock ended at 2.06€. This is 6.19% less than the trading day before Tuesday, 28th May 2024. During the day the stock fluctuated 8.82% from a day low at 2.02€ to a day high of 2.20€. |
90 days | 1.53€ | 2.30€ | |
52 weeks | 0.90€ | 2.53€ |
Historical Aroundtown SA prices
Date | Open | High | Low | Close | Volume |
Mar 15, 2024 | 1.87€ | 1.87€ | 1.74€ | 1.77€ | 6 874 112 |
Mar 14, 2024 | 1.90€ | 1.96€ | 1.89€ | 1.90€ | 3 925 200 |
Mar 13, 2024 | 1.89€ | 1.92€ | 1.87€ | 1.91€ | 2 398 596 |
Mar 12, 2024 | 1.92€ | 1.96€ | 1.87€ | 1.88€ | 3 291 384 |
Mar 11, 2024 | 1.89€ | 1.96€ | 1.88€ | 1.91€ | 3 648 353 |
Mar 08, 2024 | 1.83€ | 1.96€ | 1.83€ | 1.91€ | 4 733 239 |
Mar 07, 2024 | 1.72€ | 1.84€ | 1.69€ | 1.83€ | 4 417 970 |
Mar 06, 2024 | 1.68€ | 1.80€ | 1.67€ | 1.73€ | 4 752 632 |
Mar 05, 2024 | 1.63€ | 1.68€ | 1.61€ | 1.67€ | 2 684 900 |
Mar 04, 2024 | 1.68€ | 1.69€ | 1.63€ | 1.63€ | 1 779 365 |
Mar 01, 2024 | 1.64€ | 1.70€ | 1.64€ | 1.66€ | 3 486 265 |
Feb 29, 2024 | 1.68€ | 1.70€ | 1.62€ | 1.63€ | 10 160 113 |
Feb 28, 2024 | 1.72€ | 1.73€ | 1.63€ | 1.67€ | 4 639 024 |
Feb 27, 2024 | 1.71€ | 1.75€ | 1.69€ | 1.72€ | 3 935 406 |
Feb 26, 2024 | 1.77€ | 1.77€ | 1.72€ | 1.73€ | 2 764 705 |
Feb 23, 2024 | 1.77€ | 1.80€ | 1.74€ | 1.76€ | 2 297 911 |
Feb 22, 2024 | 1.75€ | 1.78€ | 1.71€ | 1.77€ | 3 606 512 |
Feb 21, 2024 | 1.76€ | 1.78€ | 1.74€ | 1.74€ | 2 183 165 |
Feb 20, 2024 | 1.75€ | 1.80€ | 1.70€ | 1.77€ | 3 071 459 |
Feb 19, 2024 | 1.76€ | 1.83€ | 1.75€ | 1.76€ | 1 651 363 |
Feb 16, 2024 | 1.81€ | 1.81€ | 1.73€ | 1.76€ | 5 862 660 |
Feb 15, 2024 | 1.78€ | 1.84€ | 1.76€ | 1.80€ | 3 987 362 |
Feb 14, 2024 | 1.75€ | 1.77€ | 1.73€ | 1.76€ | 1 834 357 |
Feb 13, 2024 | 1.81€ | 1.85€ | 1.75€ | 1.76€ | 4 169 381 |
Feb 12, 2024 | 1.76€ | 1.85€ | 1.76€ | 1.81€ | 3 115 760 |
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 AT1.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the AT1.DE 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 AT1.DE 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.