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 |
Apr 12, 2024 | 112.50€ | 112.60€ | 108.65€ | 109.50€ | 1 275 147 |
Apr 11, 2024 | 111.50€ | 112.45€ | 110.60€ | 111.90€ | 1 090 825 |
Apr 10, 2024 | 114.65€ | 115.35€ | 111.35€ | 111.50€ | 1 251 336 |
Apr 09, 2024 | 114.15€ | 114.80€ | 113.45€ | 113.85€ | 763 287 |
Apr 08, 2024 | 113.20€ | 114.75€ | 112.75€ | 114.75€ | 827 527 |
Apr 05, 2024 | 111.90€ | 113.55€ | 111.90€ | 112.50€ | 1 144 372 |
Apr 04, 2024 | 111.90€ | 115.25€ | 111.75€ | 114.70€ | 1 788 276 |
Apr 03, 2024 | 106.95€ | 111.95€ | 106.60€ | 111.85€ | 1 830 218 |
Apr 02, 2024 | 107.20€ | 107.80€ | 105.80€ | 106.65€ | 1 084 212 |
Mar 28, 2024 | 106.34€ | 107.18€ | 106.34€ | 106.96€ | 785 748 |
Mar 27, 2024 | 105.50€ | 106.52€ | 104.66€ | 106.16€ | 816 350 |
Mar 26, 2024 | 106.60€ | 106.76€ | 105.54€ | 106.56€ | 758 874 |
Mar 25, 2024 | 104.40€ | 106.24€ | 104.40€ | 106.24€ | 1 063 860 |
Mar 22, 2024 | 103.92€ | 104.62€ | 102.84€ | 104.12€ | 1 303 067 |
Mar 21, 2024 | 107.00€ | 107.10€ | 104.38€ | 104.80€ | 1 509 736 |
Mar 20, 2024 | 107.08€ | 107.34€ | 105.68€ | 106.36€ | 704 215 |
Mar 19, 2024 | 106.20€ | 107.40€ | 105.98€ | 107.12€ | 864 978 |
Mar 18, 2024 | 106.10€ | 107.22€ | 104.86€ | 105.98€ | 760 275 |
Mar 15, 2024 | 105.40€ | 107.30€ | 104.88€ | 105.68€ | 2 678 229 |
Mar 14, 2024 | 108.46€ | 110.42€ | 104.90€ | 105.20€ | 1 989 797 |
Mar 13, 2024 | 110.00€ | 110.36€ | 108.50€ | 108.50€ | 893 552 |
Mar 12, 2024 | 106.90€ | 110.22€ | 106.64€ | 109.78€ | 1 364 736 |
Mar 11, 2024 | 106.62€ | 107.30€ | 106.12€ | 106.88€ | 778 385 |
Mar 08, 2024 | 107.14€ | 107.84€ | 106.48€ | 107.14€ | 773 833 |
Mar 07, 2024 | 107.04€ | 107.48€ | 106.06€ | 106.96€ | 974 767 |
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.