GER:BMW
Bayerische Motoren Werke Stock Price (Quote)
94.82€
-0.180 (-0.189%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 94.00€ | 107.80€ | Tuesday, 21st May 2024 BMW.DE stock ended at 94.82€. This is 0.189% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 1.04% from a day low at 94.00€ to a day high of 94.98€. |
90 days | 94.00€ | 115.35€ | |
52 weeks | 86.80€ | 115.35€ |
Date | Open | High | Low | Close | Volume |
Dec 27, 2023 | 100.58€ | 100.88€ | 100.10€ | 100.40€ | 461 826 |
Dec 22, 2023 | 99.63€ | 100.82€ | 99.56€ | 100.64€ | 663 585 |
Dec 21, 2023 | 98.98€ | 99.61€ | 98.14€ | 99.55€ | 718 117 |
Dec 20, 2023 | 101.32€ | 101.86€ | 100.28€ | 100.42€ | 570 723 |
Dec 19, 2023 | 100.52€ | 101.36€ | 100.10€ | 100.88€ | 772 182 |
Dec 18, 2023 | 102.40€ | 102.56€ | 100.86€ | 101.02€ | 791 886 |
Dec 15, 2023 | 103.20€ | 105.14€ | 103.04€ | 103.06€ | 3 102 337 |
Dec 14, 2023 | 101.58€ | 103.96€ | 101.20€ | 102.54€ | 1 534 986 |
Dec 13, 2023 | 100.92€ | 101.24€ | 99.69€ | 99.69€ | 800 108 |
Dec 12, 2023 | 101.66€ | 102.16€ | 100.94€ | 100.94€ | 965 724 |
Dec 11, 2023 | 100.90€ | 101.86€ | 100.44€ | 101.30€ | 934 467 |
Dec 08, 2023 | 98.65€ | 101.56€ | 98.54€ | 100.92€ | 1 436 380 |
Dec 07, 2023 | 99.06€ | 99.22€ | 98.36€ | 98.60€ | 920 498 |
Dec 06, 2023 | 97.99€ | 99.82€ | 97.61€ | 99.35€ | 1 088 946 |
Dec 05, 2023 | 96.20€ | 97.66€ | 96.01€ | 97.66€ | 931 765 |
Dec 04, 2023 | 95.96€ | 96.42€ | 94.73€ | 96.16€ | 850 657 |
Dec 01, 2023 | 95.94€ | 96.19€ | 95.17€ | 96.19€ | 731 827 |
Nov 30, 2023 | 96.50€ | 96.94€ | 95.56€ | 95.59€ | 2 861 028 |
Nov 29, 2023 | 94.09€ | 96.48€ | 93.74€ | 96.07€ | 1 179 280 |
Nov 28, 2023 | 92.99€ | 93.22€ | 92.30€ | 93.16€ | 574 852 |
Nov 27, 2023 | 94.32€ | 94.39€ | 93.19€ | 93.43€ | 623 769 |
Nov 24, 2023 | 94.00€ | 94.16€ | 92.95€ | 94.05€ | 824 509 |
Nov 23, 2023 | 94.50€ | 94.86€ | 94.12€ | 94.13€ | 485 700 |
Nov 22, 2023 | 93.90€ | 94.57€ | 93.24€ | 94.24€ | 911 571 |
Nov 21, 2023 | 95.21€ | 95.37€ | 93.55€ | 93.55€ | 1 004 938 |
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.