GER:DB1
Deutsche Börse Aktiengesellschaft Stock Price (Quote)
190.75€
+0.250 (+0.131%)
At Close: Jul 02, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 179.75€ | 194.85€ | Tuesday, 2nd Jul 2024 DB1.DE stock ended at 190.75€. This is 0.131% more than the trading day before Monday, 1st Jul 2024. During the day the stock fluctuated 1.25% from a day low at 188.70€ to a day high of 191.05€. |
90 days | 175.90€ | 194.85€ | |
52 weeks | 152.60€ | 194.85€ |
Historical Deutsche Börse Aktiengesellschaft prices
Date | Open | High | Low | Close | Volume |
Jul 02, 2024 | 189.95€ | 191.05€ | 188.70€ | 190.75€ | 257 579 |
Jul 01, 2024 | 192.35€ | 192.55€ | 188.50€ | 190.50€ | 276 560 |
Jun 28, 2024 | 194.85€ | 194.85€ | 190.80€ | 191.10€ | 397 539 |
Jun 27, 2024 | 192.25€ | 194.35€ | 192.10€ | 193.90€ | 415 413 |
Jun 26, 2024 | 194.10€ | 194.80€ | 190.60€ | 192.10€ | 280 698 |
Jun 25, 2024 | 193.55€ | 194.10€ | 192.10€ | 192.75€ | 252 857 |
Jun 24, 2024 | 190.30€ | 194.45€ | 190.30€ | 194.00€ | 289 977 |
Jun 21, 2024 | 190.30€ | 192.65€ | 190.25€ | 192.40€ | 1 156 739 |
Jun 20, 2024 | 189.30€ | 190.40€ | 189.10€ | 190.30€ | 321 389 |
Jun 19, 2024 | 189.55€ | 190.25€ | 188.15€ | 189.00€ | 236 597 |
Jun 18, 2024 | 187.30€ | 189.85€ | 186.60€ | 189.60€ | 306 733 |
Jun 17, 2024 | 183.40€ | 187.30€ | 182.80€ | 186.10€ | 398 220 |
Jun 14, 2024 | 180.75€ | 182.50€ | 179.75€ | 182.25€ | 402 563 |
Jun 13, 2024 | 185.75€ | 186.20€ | 180.20€ | 180.20€ | 360 934 |
Jun 12, 2024 | 186.65€ | 188.00€ | 185.85€ | 185.95€ | 254 141 |
Jun 11, 2024 | 186.60€ | 187.30€ | 185.10€ | 186.45€ | 205 958 |
Jun 10, 2024 | 187.40€ | 188.20€ | 185.70€ | 186.10€ | 223 282 |
Jun 07, 2024 | 188.65€ | 188.95€ | 186.05€ | 187.95€ | 233 327 |
Jun 06, 2024 | 188.70€ | 190.60€ | 187.45€ | 188.50€ | 194 142 |
Jun 05, 2024 | 186.75€ | 188.95€ | 186.65€ | 188.40€ | 265 440 |
Jun 04, 2024 | 183.65€ | 186.30€ | 182.90€ | 186.00€ | 301 407 |
Jun 03, 2024 | 184.00€ | 184.10€ | 181.95€ | 183.45€ | 294 473 |
May 31, 2024 | 180.40€ | 183.00€ | 180.00€ | 182.90€ | 720 570 |
May 30, 2024 | 178.00€ | 179.80€ | 177.75€ | 179.70€ | 209 271 |
May 29, 2024 | 177.35€ | 178.50€ | 175.90€ | 177.85€ | 289 200 |
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.