NYSEARCA:DBA
Invesco DB Agriculture Fund ETF Price (Quote)
$25.13
-0.190 (-0.750%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $23.35 | $25.78 | Friday, 31st May 2024 DBA stock ended at $25.13. This is 0.750% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.42% from a day low at $24.99 to a day high of $25.34. |
90 days | $22.17 | $26.61 | |
52 weeks | $20.39 | $26.61 |
Historical Invesco DB Agriculture Fund prices
Date | Open | High | Low | Close | Volume |
Apr 27, 2023 | $21.05 | $21.09 | $20.90 | $20.98 | 406 668 |
Apr 26, 2023 | $21.04 | $21.10 | $20.97 | $21.02 | 336 921 |
Apr 25, 2023 | $20.90 | $21.02 | $20.80 | $20.99 | 923 325 |
Apr 24, 2023 | $20.98 | $21.18 | $20.92 | $21.06 | 371 307 |
Apr 21, 2023 | $21.01 | $21.02 | $20.86 | $20.94 | 578 018 |
Apr 20, 2023 | $21.00 | $21.08 | $20.95 | $21.08 | 485 645 |
Apr 19, 2023 | $21.18 | $21.32 | $21.11 | $21.11 | 794 133 |
Apr 18, 2023 | $21.13 | $21.37 | $21.13 | $21.30 | 585 666 |
Apr 17, 2023 | $20.98 | $21.21 | $20.97 | $21.20 | 1 007 515 |
Apr 14, 2023 | $20.82 | $20.92 | $20.79 | $20.91 | 644 127 |
Apr 13, 2023 | $20.98 | $21.05 | $20.85 | $20.87 | 711 861 |
Apr 12, 2023 | $20.84 | $20.84 | $20.75 | $20.77 | 498 215 |
Apr 11, 2023 | $20.76 | $20.88 | $20.76 | $20.84 | 2 304 671 |
Apr 10, 2023 | $20.62 | $20.74 | $20.57 | $20.70 | 474 573 |
Apr 06, 2023 | $20.52 | $20.66 | $20.50 | $20.65 | 1 111 345 |
Apr 05, 2023 | $20.38 | $20.51 | $20.38 | $20.45 | 461 589 |
Apr 04, 2023 | $20.46 | $20.52 | $20.35 | $20.35 | 1 995 931 |
Apr 03, 2023 | $20.53 | $20.62 | $20.43 | $20.45 | 437 745 |
Mar 31, 2023 | $20.20 | $20.47 | $20.20 | $20.43 | 938 240 |
Mar 30, 2023 | $20.29 | $20.32 | $20.23 | $20.31 | 606 505 |
Mar 29, 2023 | $20.17 | $20.20 | $20.09 | $20.12 | 528 656 |
Mar 28, 2023 | $20.12 | $20.25 | $20.12 | $20.24 | 632 134 |
Mar 27, 2023 | $20.03 | $20.18 | $20.03 | $20.15 | 757 289 |
Mar 24, 2023 | $19.75 | $19.97 | $19.75 | $19.96 | 989 491 |
Mar 23, 2023 | $19.74 | $19.80 | $19.64 | $19.66 | 726 783 |
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 DBA stock historical prices to predict future price movements?
Trend Analysis: Examine the DBA 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 DBA 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.