FRA:DB1
Deutsche Börse Aktiengesellschaft Stock Price (Quote)
182.90€
+3.20 (+1.78%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 175.90€ | 188.70€ | Friday, 31st May 2024 DB1.F stock ended at 182.90€. This is 1.78% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.67% from a day low at 180.00€ to a day high of 183.00€. |
90 days | 175.90€ | 194.10€ | |
52 weeks | 152.60€ | 194.55€ |
Historical Deutsche Börse Aktiengesellschaft prices
Date | Open | High | Low | Close | Volume |
Nov 30, 2023 | 174.35€ | 174.65€ | 173.40€ | 174.30€ | 460 646 |
Nov 29, 2023 | 173.50€ | 174.80€ | 173.10€ | 174.05€ | 239 107 |
Nov 28, 2023 | 172.15€ | 173.25€ | 171.95€ | 172.95€ | 373 616 |
Nov 27, 2023 | 173.75€ | 174.80€ | 173.00€ | 173.40€ | 355 782 |
Nov 24, 2023 | 174.40€ | 174.40€ | 172.55€ | 173.00€ | 254 997 |
Nov 23, 2023 | 172.55€ | 174.70€ | 172.30€ | 174.35€ | 229 455 |
Nov 22, 2023 | 171.70€ | 173.55€ | 171.30€ | 172.50€ | 300 843 |
Nov 21, 2023 | 169.80€ | 172.00€ | 169.25€ | 171.35€ | 287 868 |
Nov 20, 2023 | 168.60€ | 169.70€ | 168.25€ | 169.30€ | 252 575 |
Nov 17, 2023 | 167.80€ | 169.15€ | 166.85€ | 168.75€ | 371 429 |
Nov 16, 2023 | 166.35€ | 167.30€ | 165.70€ | 167.30€ | 212 006 |
Nov 15, 2023 | 166.35€ | 167.95€ | 166.10€ | 166.50€ | 266 060 |
Nov 14, 2023 | 166.90€ | 167.85€ | 166.05€ | 166.75€ | 297 283 |
Nov 13, 2023 | 166.70€ | 166.95€ | 165.20€ | 166.70€ | 228 580 |
Nov 10, 2023 | 167.10€ | 168.15€ | 164.70€ | 165.85€ | 403 939 |
Nov 09, 2023 | 165.85€ | 167.80€ | 165.80€ | 166.95€ | 271 009 |
Nov 08, 2023 | 164.50€ | 165.80€ | 163.10€ | 165.05€ | 270 035 |
Nov 07, 2023 | 159.80€ | 166.00€ | 158.30€ | 164.85€ | 555 129 |
Nov 06, 2023 | 159.35€ | 160.35€ | 158.35€ | 159.25€ | 221 408 |
Nov 03, 2023 | 158.90€ | 160.10€ | 158.50€ | 158.50€ | 380 906 |
Nov 02, 2023 | 159.10€ | 159.95€ | 158.35€ | 158.75€ | 250 265 |
Nov 01, 2023 | 156.00€ | 157.95€ | 154.95€ | 157.85€ | 286 665 |
Oct 31, 2023 | 156.65€ | 156.85€ | 154.75€ | 155.20€ | 289 086 |
Oct 30, 2023 | 155.55€ | 156.25€ | 155.20€ | 155.95€ | 202 547 |
Oct 27, 2023 | 156.20€ | 157.10€ | 155.10€ | 155.10€ | 250 219 |
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.F stock historical prices to predict future price movements?
Trend Analysis: Examine the DB1.F 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.F 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.