GER:BOSS
Hugo Boss AG Stock Price (Quote)
46.99€
-0.99 (-2.06%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 45.70€ | 52.50€ | Friday, 24th May 2024 BOSS.DE stock ended at 46.99€. This is 2.06% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 2.53% from a day low at 46.72€ to a day high of 47.90€. |
90 days | 45.70€ | 64.44€ | |
52 weeks | 45.70€ | 75.76€ |
Date | Open | High | Low | Close | Volume |
Jan 02, 2024 | 67.74€ | 67.94€ | 65.90€ | 65.90€ | 254 103 |
Dec 29, 2023 | 66.84€ | 67.50€ | 66.64€ | 67.46€ | 95 625 |
Dec 28, 2023 | 66.98€ | 67.12€ | 66.28€ | 66.58€ | 98 908 |
Dec 27, 2023 | 67.12€ | 67.60€ | 66.36€ | 66.72€ | 128 944 |
Dec 22, 2023 | 67.00€ | 67.46€ | 66.54€ | 66.86€ | 158 078 |
Dec 21, 2023 | 67.56€ | 67.82€ | 67.02€ | 67.82€ | 165 691 |
Dec 20, 2023 | 67.86€ | 68.32€ | 66.70€ | 67.94€ | 236 394 |
Dec 19, 2023 | 67.86€ | 68.10€ | 66.74€ | 67.88€ | 216 895 |
Dec 18, 2023 | 68.36€ | 68.52€ | 67.64€ | 67.88€ | 204 618 |
Dec 15, 2023 | 70.04€ | 70.50€ | 68.54€ | 68.76€ | 358 699 |
Dec 14, 2023 | 68.94€ | 70.22€ | 68.84€ | 69.84€ | 357 178 |
Dec 13, 2023 | 67.36€ | 68.48€ | 67.12€ | 67.58€ | 300 960 |
Dec 12, 2023 | 68.16€ | 68.68€ | 67.90€ | 68.00€ | 232 045 |
Dec 11, 2023 | 66.78€ | 68.12€ | 66.78€ | 68.00€ | 260 201 |
Dec 08, 2023 | 64.38€ | 67.34€ | 64.38€ | 66.92€ | 352 042 |
Dec 07, 2023 | 64.60€ | 64.62€ | 63.40€ | 64.36€ | 256 109 |
Dec 06, 2023 | 64.88€ | 65.34€ | 64.52€ | 64.98€ | 210 795 |
Dec 05, 2023 | 63.92€ | 64.84€ | 63.82€ | 64.72€ | 159 620 |
Dec 04, 2023 | 64.38€ | 64.96€ | 64.08€ | 64.20€ | 152 697 |
Dec 01, 2023 | 64.16€ | 64.82€ | 63.86€ | 64.36€ | 161 189 |
Nov 30, 2023 | 63.02€ | 65.04€ | 62.96€ | 64.24€ | 604 348 |
Nov 29, 2023 | 61.94€ | 63.14€ | 61.90€ | 63.04€ | 351 377 |
Nov 28, 2023 | 61.26€ | 62.20€ | 60.90€ | 62.06€ | 206 289 |
Nov 27, 2023 | 61.46€ | 62.34€ | 61.40€ | 61.62€ | 203 209 |
Nov 24, 2023 | 61.02€ | 61.62€ | 60.42€ | 61.60€ | 170 981 |
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 BOSS.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the BOSS.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 BOSS.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.