GER:DB1
Deutsche Börse Aktiengesellschaft Stock Price (Quote)
182.25€
+2.05 (+1.14%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 175.90€ | 190.60€ | Friday, 14th Jun 2024 DB1.DE stock ended at 182.25€. This is 1.14% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 1.53% from a day low at 179.75€ to a day high of 182.50€. |
90 days | 175.90€ | 192.70€ | |
52 weeks | 152.60€ | 194.55€ |
Historical Deutsche Börse Aktiengesellschaft prices
Date | Open | High | Low | Close | Volume |
Aug 31, 2023 | 164.80€ | 164.80€ | 163.85€ | 163.85€ | 491 836 |
Aug 30, 2023 | 164.35€ | 164.75€ | 163.75€ | 164.25€ | 210 527 |
Aug 29, 2023 | 164.70€ | 164.75€ | 163.75€ | 164.35€ | 278 141 |
Aug 28, 2023 | 163.75€ | 164.30€ | 162.70€ | 164.20€ | 233 041 |
Aug 25, 2023 | 163.30€ | 164.45€ | 163.00€ | 163.00€ | 311 691 |
Aug 24, 2023 | 164.45€ | 165.50€ | 163.60€ | 163.75€ | 248 054 |
Aug 23, 2023 | 162.15€ | 163.75€ | 161.95€ | 163.20€ | 272 097 |
Aug 22, 2023 | 162.30€ | 163.30€ | 161.85€ | 162.00€ | 253 124 |
Aug 21, 2023 | 162.65€ | 163.00€ | 161.30€ | 161.50€ | 212 985 |
Aug 18, 2023 | 163.70€ | 163.70€ | 162.00€ | 162.95€ | 278 297 |
Aug 17, 2023 | 166.50€ | 166.60€ | 163.75€ | 163.85€ | 359 779 |
Aug 16, 2023 | 168.55€ | 168.85€ | 167.25€ | 167.40€ | 148 045 |
Aug 15, 2023 | 169.65€ | 170.25€ | 167.95€ | 168.50€ | 190 267 |
Aug 14, 2023 | 169.25€ | 170.00€ | 168.90€ | 169.90€ | 161 510 |
Aug 11, 2023 | 170.85€ | 171.20€ | 168.90€ | 169.25€ | 247 799 |
Aug 10, 2023 | 170.70€ | 171.95€ | 170.30€ | 171.40€ | 238 059 |
Aug 09, 2023 | 169.25€ | 170.50€ | 168.95€ | 169.55€ | 155 813 |
Aug 08, 2023 | 169.10€ | 169.85€ | 167.90€ | 168.50€ | 310 616 |
Aug 07, 2023 | 166.70€ | 168.85€ | 166.50€ | 168.80€ | 230 789 |
Aug 04, 2023 | 169.60€ | 170.05€ | 167.95€ | 169.75€ | 290 141 |
Aug 03, 2023 | 167.90€ | 169.70€ | 166.60€ | 169.05€ | 379 573 |
Aug 02, 2023 | 169.80€ | 170.85€ | 168.50€ | 168.90€ | 328 071 |
Aug 01, 2023 | 174.25€ | 174.65€ | 170.70€ | 170.70€ | 389 417 |
Jul 31, 2023 | 175.60€ | 175.60€ | 172.80€ | 174.30€ | 395 771 |
Jul 28, 2023 | 174.30€ | 177.45€ | 174.20€ | 176.30€ | 512 562 |
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 DB1.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the DB1.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 DB1.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.