NYSE:DB
Deutsche Bank AG Stock Price (Quote)
$16.68
-0.0600 (-0.358%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $16.05 | $17.53 | Friday, 31st May 2024 DB stock ended at $16.68. This is 0.358% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.30% from a day low at $16.32 to a day high of $16.70. |
90 days | $13.57 | $17.96 | |
52 weeks | $9.82 | $17.96 |
Historical Deutsche Bank AG prices
Date | Open | High | Low | Close | Volume |
Feb 14, 2023 | $12.26 | $12.51 | $12.25 | $12.40 | 5 066 917 |
Feb 13, 2023 | $12.19 | $12.29 | $12.15 | $12.27 | 2 155 600 |
Feb 10, 2023 | $12.17 | $12.18 | $12.03 | $12.11 | 4 344 233 |
Feb 09, 2023 | $12.67 | $12.70 | $12.44 | $12.49 | 2 886 844 |
Feb 08, 2023 | $12.52 | $12.58 | $12.50 | $12.55 | 2 773 815 |
Feb 07, 2023 | $12.24 | $12.51 | $12.24 | $12.48 | 3 711 336 |
Feb 06, 2023 | $12.23 | $12.25 | $12.12 | $12.22 | 3 680 965 |
Feb 03, 2023 | $12.50 | $12.58 | $12.38 | $12.43 | 4 400 094 |
Feb 02, 2023 | $12.88 | $12.91 | $12.46 | $12.58 | 8 925 479 |
Feb 01, 2023 | $13.35 | $13.57 | $13.27 | $13.49 | 4 151 746 |
Jan 31, 2023 | $13.25 | $13.38 | $13.20 | $13.38 | 2 519 947 |
Jan 30, 2023 | $13.38 | $13.47 | $13.28 | $13.29 | 2 444 175 |
Jan 27, 2023 | $13.36 | $13.45 | $13.30 | $13.43 | 2 580 405 |
Jan 26, 2023 | $13.17 | $13.31 | $13.09 | $13.31 | 2 978 231 |
Jan 25, 2023 | $12.90 | $13.08 | $12.88 | $13.07 | 2 760 367 |
Jan 24, 2023 | $12.92 | $13.07 | $12.88 | $13.03 | 2 475 615 |
Jan 23, 2023 | $12.96 | $13.05 | $12.92 | $12.99 | 2 761 349 |
Jan 20, 2023 | $12.85 | $13.04 | $12.82 | $13.04 | 2 823 714 |
Jan 19, 2023 | $12.77 | $12.82 | $12.65 | $12.80 | 3 629 900 |
Jan 18, 2023 | $13.05 | $13.06 | $12.82 | $12.85 | 3 267 338 |
Jan 17, 2023 | $12.96 | $13.08 | $12.84 | $12.91 | 2 976 712 |
Jan 13, 2023 | $12.50 | $12.76 | $12.49 | $12.73 | 3 007 400 |
Jan 12, 2023 | $12.74 | $12.82 | $12.64 | $12.82 | 3 449 908 |
Jan 11, 2023 | $12.63 | $12.68 | $12.57 | $12.67 | 2 425 800 |
Jan 10, 2023 | $12.44 | $12.65 | $12.38 | $12.63 | 7 225 000 |
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 DB stock historical prices to predict future price movements?
Trend Analysis: Examine the DB 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 DB 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.