GER:BMW
Bayerische Motoren Werke Stock Price (Quote)
95.00€
-1.02 (-1.06%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 94.58€ | 107.80€ | Monday, 20th May 2024 BMW.DE stock ended at 95.00€. This is 1.06% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 1.86% from a day low at 94.58€ to a day high of 96.34€. |
90 days | 94.58€ | 115.35€ | |
52 weeks | 86.80€ | 115.35€ |
Date | Open | High | Low | Close | Volume |
Sep 08, 2023 | 95.58€ | 95.88€ | 93.62€ | 95.62€ | 853 582 |
Sep 07, 2023 | 95.65€ | 96.34€ | 95.02€ | 95.03€ | 823 869 |
Sep 06, 2023 | 96.13€ | 96.97€ | 95.83€ | 96.30€ | 767 661 |
Sep 05, 2023 | 94.01€ | 96.63€ | 93.74€ | 96.53€ | 1 159 550 |
Sep 04, 2023 | 94.60€ | 95.35€ | 94.48€ | 94.48€ | 810 296 |
Sep 01, 2023 | 96.93€ | 96.97€ | 93.78€ | 94.20€ | 1 654 934 |
Aug 31, 2023 | 97.40€ | 97.88€ | 97.00€ | 97.17€ | 3 723 071 |
Aug 30, 2023 | 97.93€ | 98.05€ | 96.74€ | 97.26€ | 657 780 |
Aug 29, 2023 | 96.79€ | 97.58€ | 96.48€ | 97.58€ | 790 004 |
Aug 28, 2023 | 97.40€ | 97.55€ | 95.64€ | 96.60€ | 786 265 |
Aug 25, 2023 | 96.50€ | 97.19€ | 96.14€ | 96.51€ | 798 291 |
Aug 24, 2023 | 99.07€ | 99.33€ | 96.70€ | 96.78€ | 923 341 |
Aug 23, 2023 | 99.62€ | 99.90€ | 98.29€ | 98.43€ | 867 740 |
Aug 22, 2023 | 99.70€ | 100.62€ | 99.50€ | 99.70€ | 753 422 |
Aug 21, 2023 | 98.37€ | 99.87€ | 98.35€ | 99.24€ | 737 171 |
Aug 18, 2023 | 98.50€ | 98.80€ | 97.51€ | 98.25€ | 852 110 |
Aug 17, 2023 | 99.60€ | 99.91€ | 98.64€ | 99.10€ | 521 139 |
Aug 16, 2023 | 99.19€ | 100.60€ | 98.73€ | 99.76€ | 806 087 |
Aug 15, 2023 | 100.30€ | 100.32€ | 98.83€ | 99.21€ | 588 318 |
Aug 14, 2023 | 99.80€ | 100.92€ | 98.82€ | 100.10€ | 675 959 |
Aug 11, 2023 | 101.32€ | 101.32€ | 99.85€ | 99.99€ | 1 086 414 |
Aug 10, 2023 | 101.60€ | 102.60€ | 101.38€ | 101.90€ | 755 306 |
Aug 09, 2023 | 101.60€ | 102.94€ | 101.18€ | 101.36€ | 673 365 |
Aug 08, 2023 | 103.16€ | 104.40€ | 101.14€ | 101.86€ | 954 339 |
Aug 07, 2023 | 103.90€ | 104.76€ | 103.02€ | 103.74€ | 730 943 |
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 BMW.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the BMW.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 BMW.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.