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 |
Apr 11, 2024 | 52.00€ | 53.04€ | 51.90€ | 52.48€ | 316 644 |
Apr 10, 2024 | 51.64€ | 53.16€ | 51.22€ | 52.20€ | 403 565 |
Apr 09, 2024 | 52.64€ | 53.22€ | 51.50€ | 52.58€ | 396 243 |
Apr 08, 2024 | 49.60€ | 52.04€ | 49.43€ | 52.00€ | 602 687 |
Apr 05, 2024 | 50.20€ | 50.36€ | 48.92€ | 49.47€ | 684 923 |
Apr 04, 2024 | 51.96€ | 51.96€ | 50.78€ | 50.92€ | 629 989 |
Apr 03, 2024 | 52.66€ | 52.76€ | 51.54€ | 51.90€ | 373 632 |
Apr 02, 2024 | 54.18€ | 54.60€ | 52.60€ | 52.84€ | 452 646 |
Mar 28, 2024 | 54.94€ | 55.70€ | 54.62€ | 54.62€ | 326 727 |
Mar 27, 2024 | 54.50€ | 55.32€ | 54.10€ | 54.94€ | 255 619 |
Mar 26, 2024 | 53.78€ | 54.44€ | 53.24€ | 54.00€ | 223 382 |
Mar 25, 2024 | 51.64€ | 54.18€ | 51.40€ | 53.70€ | 342 834 |
Mar 22, 2024 | 52.66€ | 52.92€ | 51.42€ | 51.84€ | 359 894 |
Mar 21, 2024 | 54.00€ | 54.02€ | 52.60€ | 52.92€ | 235 765 |
Mar 20, 2024 | 52.04€ | 53.68€ | 51.60€ | 53.22€ | 332 158 |
Mar 19, 2024 | 53.30€ | 53.42€ | 52.54€ | 53.14€ | 362 679 |
Mar 18, 2024 | 54.58€ | 54.70€ | 53.34€ | 53.64€ | 229 891 |
Mar 15, 2024 | 55.50€ | 55.58€ | 53.84€ | 54.52€ | 563 414 |
Mar 14, 2024 | 56.08€ | 57.06€ | 55.64€ | 55.64€ | 218 235 |
Mar 13, 2024 | 55.38€ | 56.90€ | 55.32€ | 56.08€ | 289 878 |
Mar 12, 2024 | 55.40€ | 55.70€ | 54.36€ | 55.54€ | 359 033 |
Mar 11, 2024 | 55.86€ | 57.02€ | 54.98€ | 55.10€ | 362 174 |
Mar 08, 2024 | 54.20€ | 56.70€ | 53.98€ | 56.00€ | 850 913 |
Mar 07, 2024 | 52.00€ | 56.00€ | 50.56€ | 54.36€ | 3 521 438 |
Mar 06, 2024 | 62.90€ | 63.52€ | 62.08€ | 63.04€ | 310 202 |
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.