GER:BOSS
Hugo Boss AG Stock Price (Quote)
50.32€
-0.0600 (-0.119%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 45.70€ | 52.50€ | Friday, 17th May 2024 BOSS.DE stock ended at 50.32€. This is 0.119% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.38% from a day low at 49.85€ to a day high of 50.54€. |
90 days | 45.70€ | 64.64€ | |
52 weeks | 45.70€ | 75.76€ |
Date | Open | High | Low | Close | Volume |
Mar 05, 2024 | 63.12€ | 63.46€ | 62.12€ | 62.82€ | 216 080 |
Mar 04, 2024 | 63.80€ | 64.44€ | 63.40€ | 63.68€ | 191 666 |
Mar 01, 2024 | 63.28€ | 63.92€ | 62.44€ | 63.92€ | 163 291 |
Feb 29, 2024 | 63.88€ | 64.36€ | 62.80€ | 62.88€ | 401 392 |
Feb 28, 2024 | 63.72€ | 63.84€ | 62.92€ | 63.76€ | 142 588 |
Feb 27, 2024 | 63.40€ | 63.94€ | 63.10€ | 63.72€ | 193 674 |
Feb 26, 2024 | 64.00€ | 64.08€ | 62.94€ | 63.66€ | 142 192 |
Feb 23, 2024 | 64.00€ | 64.30€ | 62.98€ | 63.30€ | 139 307 |
Feb 22, 2024 | 64.20€ | 64.64€ | 63.80€ | 63.92€ | 211 186 |
Feb 21, 2024 | 62.36€ | 63.68€ | 62.36€ | 63.60€ | 189 079 |
Feb 20, 2024 | 62.72€ | 62.76€ | 61.58€ | 62.36€ | 195 877 |
Feb 19, 2024 | 63.06€ | 63.54€ | 62.70€ | 62.86€ | 182 571 |
Feb 16, 2024 | 63.82€ | 64.32€ | 63.36€ | 63.46€ | 190 006 |
Feb 15, 2024 | 63.66€ | 64.34€ | 63.22€ | 63.22€ | 204 229 |
Feb 14, 2024 | 61.74€ | 63.44€ | 61.74€ | 63.32€ | 292 278 |
Feb 13, 2024 | 61.92€ | 62.70€ | 61.52€ | 61.98€ | 154 686 |
Feb 12, 2024 | 60.66€ | 62.52€ | 60.66€ | 62.30€ | 389 308 |
Feb 09, 2024 | 59.04€ | 60.28€ | 59.04€ | 60.28€ | 401 500 |
Feb 08, 2024 | 57.20€ | 59.00€ | 57.16€ | 58.84€ | 316 144 |
Feb 07, 2024 | 57.44€ | 57.86€ | 56.96€ | 57.28€ | 174 439 |
Feb 06, 2024 | 56.90€ | 57.50€ | 56.76€ | 57.46€ | 226 819 |
Feb 05, 2024 | 56.90€ | 57.46€ | 56.34€ | 56.62€ | 199 195 |
Feb 02, 2024 | 57.10€ | 57.72€ | 56.54€ | 56.86€ | 233 898 |
Feb 01, 2024 | 57.30€ | 58.08€ | 56.44€ | 56.88€ | 321 265 |
Jan 31, 2024 | 59.34€ | 59.80€ | 57.96€ | 58.14€ | 317 401 |
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.