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 |
Nov 23, 2023 | 61.26€ | 61.94€ | 61.08€ | 61.42€ | 187 592 |
Nov 22, 2023 | 61.80€ | 62.16€ | 60.86€ | 61.54€ | 468 443 |
Nov 21, 2023 | 59.24€ | 60.52€ | 59.24€ | 59.76€ | 254 750 |
Nov 20, 2023 | 59.04€ | 59.54€ | 59.04€ | 59.30€ | 197 216 |
Nov 17, 2023 | 57.48€ | 59.18€ | 57.46€ | 58.98€ | 257 208 |
Nov 16, 2023 | 58.96€ | 59.24€ | 57.06€ | 57.24€ | 356 198 |
Nov 15, 2023 | 59.00€ | 59.68€ | 58.60€ | 59.32€ | 272 358 |
Nov 14, 2023 | 57.40€ | 59.00€ | 56.86€ | 58.80€ | 339 774 |
Nov 13, 2023 | 58.70€ | 58.70€ | 57.18€ | 57.48€ | 235 899 |
Nov 10, 2023 | 59.78€ | 59.86€ | 57.98€ | 58.70€ | 331 810 |
Nov 09, 2023 | 60.10€ | 60.94€ | 59.42€ | 60.38€ | 226 316 |
Nov 08, 2023 | 59.10€ | 60.40€ | 58.50€ | 60.12€ | 286 547 |
Nov 07, 2023 | 59.58€ | 59.88€ | 58.40€ | 59.32€ | 268 850 |
Nov 06, 2023 | 59.68€ | 60.00€ | 59.28€ | 59.48€ | 210 343 |
Nov 03, 2023 | 58.26€ | 60.02€ | 57.18€ | 59.28€ | 389 107 |
Nov 02, 2023 | 58.30€ | 59.64€ | 56.56€ | 57.48€ | 720 315 |
Nov 01, 2023 | 55.32€ | 55.86€ | 54.76€ | 55.40€ | 551 183 |
Oct 31, 2023 | 55.18€ | 55.32€ | 54.76€ | 55.10€ | 347 874 |
Oct 30, 2023 | 55.20€ | 56.10€ | 55.16€ | 55.20€ | 155 057 |
Oct 27, 2023 | 56.88€ | 57.02€ | 54.32€ | 55.06€ | 545 260 |
Oct 26, 2023 | 57.40€ | 57.68€ | 56.78€ | 56.92€ | 239 401 |
Oct 25, 2023 | 58.18€ | 58.40€ | 57.54€ | 58.10€ | 168 354 |
Oct 24, 2023 | 58.96€ | 59.04€ | 58.18€ | 58.52€ | 185 050 |
Oct 23, 2023 | 57.52€ | 58.16€ | 57.34€ | 57.92€ | 172 689 |
Oct 20, 2023 | 57.78€ | 58.12€ | 57.32€ | 57.40€ | 216 916 |
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.