FRA:DBPK
Xtrackers S&p 500 2x Inverse Daily Swap ETF Price (Quote)
0.261€
-0.0032 (-1.21%)
At Close: Jun 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.259€ | 0.286€ | Friday, 28th Jun 2024 DBPK.F stock ended at 0.261€. This is 1.21% less than the trading day before Thursday, 27th Jun 2024. During the day the stock fluctuated 0.81% from a day low at 0.260€ to a day high of 0.262€. |
90 days | 0.259€ | 0.316€ | |
52 weeks | 0.259€ | 0.438€ |
Historical Xtrackers S&p 500 2x Inverse Daily Swap Ucits Etf prices
Date | Open | High | Low | Close | Volume |
Jun 28, 2024 | 0.262€ | 0.262€ | 0.260€ | 0.261€ | 1 674 577 |
Jun 27, 2024 | 0.264€ | 0.265€ | 0.262€ | 0.265€ | 497 646 |
Jun 26, 2024 | 0.264€ | 0.267€ | 0.263€ | 0.266€ | 769 784 |
Jun 25, 2024 | 0.265€ | 0.266€ | 0.264€ | 0.265€ | 3 989 924 |
Jun 24, 2024 | 0.264€ | 0.265€ | 0.261€ | 0.262€ | 819 034 |
Jun 21, 2024 | 0.263€ | 0.266€ | 0.263€ | 0.265€ | 934 608 |
Jun 20, 2024 | 0.260€ | 0.261€ | 0.259€ | 0.261€ | 2 952 763 |
Jun 19, 2024 | 0.261€ | 0.261€ | 0.260€ | 0.261€ | 206 695 |
Jun 18, 2024 | 0.262€ | 0.263€ | 0.261€ | 0.262€ | 2 702 287 |
Jun 17, 2024 | 0.267€ | 0.268€ | 0.266€ | 0.266€ | 1 537 152 |
Jun 14, 2024 | 0.267€ | 0.270€ | 0.267€ | 0.268€ | 2 475 872 |
Jun 13, 2024 | 0.265€ | 0.267€ | 0.263€ | 0.267€ | 2 800 276 |
Jun 12, 2024 | 0.271€ | 0.272€ | 0.262€ | 0.263€ | 3 147 543 |
Jun 11, 2024 | 0.275€ | 0.275€ | 0.272€ | 0.274€ | 1 148 706 |
Jun 10, 2024 | 0.275€ | 0.276€ | 0.274€ | 0.274€ | 694 297 |
Jun 07, 2024 | 0.269€ | 0.274€ | 0.269€ | 0.271€ | 1 596 300 |
Jun 06, 2024 | 0.270€ | 0.270€ | 0.269€ | 0.270€ | 1 860 658 |
Jun 05, 2024 | 0.276€ | 0.276€ | 0.273€ | 0.273€ | 639 863 |
Jun 04, 2024 | 0.277€ | 0.280€ | 0.277€ | 0.279€ | 1 312 126 |
Jun 03, 2024 | 0.277€ | 0.279€ | 0.276€ | 0.278€ | 1 229 330 |
May 31, 2024 | 0.284€ | 0.286€ | 0.280€ | 0.285€ | 1 216 311 |
May 30, 2024 | 0.284€ | 0.284€ | 0.280€ | 0.281€ | 136 585 |
May 29, 2024 | 0.276€ | 0.280€ | 0.276€ | 0.279€ | 1 248 828 |
May 28, 2024 | 0.273€ | 0.275€ | 0.272€ | 0.274€ | 1 840 154 |
May 27, 2024 | 0.275€ | 0.275€ | 0.274€ | 0.274€ | 353 311 |
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 DBPK.F stock historical prices to predict future price movements?
Trend Analysis: Examine the DBPK.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 DBPK.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.