NYSEARCA:DIA
SPDR Dow Jones Industrial Average ETF Price (Quote)
$386.46
-0.420 (-0.109%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $380.41 | $401.00 | Friday, 14th Jun 2024 DIA stock ended at $386.46. This is 0.109% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 0.749% from a day low at $383.65 to a day high of $386.52. |
90 days | $376.14 | $401.00 | |
52 weeks | $323.21 | $401.00 |
Historical SPDR Dow Jones Industrial Average ETF prices
Date | Open | High | Low | Close | Volume |
Apr 05, 2023 | $334.00 | $335.45 | $333.76 | $334.82 | 2 814 191 |
Apr 04, 2023 | $335.91 | $336.26 | $332.63 | $333.94 | 2 447 981 |
Apr 03, 2023 | $333.59 | $336.25 | $333.51 | $335.91 | 3 488 224 |
Mar 31, 2023 | $329.59 | $332.81 | $329.51 | $332.62 | 2 822 771 |
Mar 30, 2023 | $328.88 | $328.95 | $326.72 | $328.48 | 2 483 780 |
Mar 29, 2023 | $326.58 | $327.17 | $325.29 | $327.08 | 2 528 801 |
Mar 28, 2023 | $323.99 | $325.65 | $322.84 | $323.81 | 2 534 932 |
Mar 27, 2023 | $324.59 | $325.57 | $323.30 | $324.31 | 3 548 973 |
Mar 24, 2023 | $319.45 | $322.46 | $317.91 | $322.32 | 4 481 096 |
Mar 23, 2023 | $321.33 | $325.02 | $318.50 | $320.84 | 4 769 021 |
Mar 22, 2023 | $325.65 | $327.56 | $320.06 | $320.18 | 4 321 317 |
Mar 21, 2023 | $325.42 | $325.84 | $323.34 | $325.62 | 3 514 691 |
Mar 20, 2023 | $319.33 | $322.75 | $319.33 | $322.30 | 4 691 989 |
Mar 17, 2023 | $320.72 | $321.09 | $317.16 | $318.50 | 5 262 702 |
Mar 16, 2023 | $317.66 | $323.57 | $316.43 | $323.25 | 6 569 520 |
Mar 15, 2023 | $316.90 | $319.81 | $314.97 | $319.54 | 6 511 033 |
Mar 14, 2023 | $322.21 | $323.71 | $318.71 | $322.19 | 4 755 131 |
Mar 13, 2023 | $316.76 | $323.17 | $316.66 | $318.82 | 6 826 215 |
Mar 10, 2023 | $322.54 | $324.87 | $318.43 | $319.73 | 7 665 619 |
Mar 09, 2023 | $329.72 | $330.44 | $322.40 | $323.08 | 4 744 811 |
Mar 08, 2023 | $328.92 | $329.50 | $326.60 | $328.49 | 3 164 165 |
Mar 07, 2023 | $334.67 | $334.92 | $328.72 | $328.87 | 4 995 209 |
Mar 06, 2023 | $334.63 | $336.12 | $334.18 | $334.68 | 2 636 574 |
Mar 03, 2023 | $331.52 | $334.43 | $330.42 | $334.21 | 2 973 995 |
Mar 02, 2023 | $327.57 | $331.20 | $326.80 | $330.44 | 3 045 289 |
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 DIA stock historical prices to predict future price movements?
Trend Analysis: Examine the DIA 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 DIA 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.