NYSEARCA:DIA
SPDR Dow Jones Industrial Average ETF Price (Quote)
$387.53
+6.05 (+1.59%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $378.01 | $401.00 | Friday, 31st May 2024 DIA stock ended at $387.53. This is 1.59% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.65% from a day low at $381.27 to a day high of $387.58. |
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 |
May 13, 2016 | $176.90 | $177.52 | $175.26 | $174.39 | 3 336 800 |
May 12, 2016 | $177.81 | $178.12 | $176.40 | $176.32 | 2 534 900 |
May 11, 2016 | $178.70 | $178.94 | $177.26 | $176.20 | 2 697 200 |
May 10, 2016 | $177.72 | $179.27 | $177.64 | $178.09 | 2 867 200 |
May 09, 2016 | $177.25 | $177.76 | $176.62 | $175.88 | 1 921 700 |
May 06, 2016 | $175.69 | $177.40 | $175.68 | $176.24 | 2 940 800 |
May 05, 2016 | $176.83 | $177.22 | $176.00 | $175.34 | 1 778 800 |
May 04, 2016 | $176.38 | $177.21 | $175.90 | $175.22 | 3 446 000 |
May 03, 2016 | $177.48 | $177.83 | $176.48 | $176.20 | 4 643 200 |
May 02, 2016 | $178.08 | $178.91 | $177.51 | $177.59 | 2 463 100 |
Apr 29, 2016 | $177.40 | $177.95 | $176.29 | $176.49 | 5 496 000 |
Apr 28, 2016 | $179.06 | $180.15 | $177.74 | $177.09 | 3 550 700 |
Apr 27, 2016 | $179.12 | $180.65 | $178.99 | $179.13 | 3 569 300 |
Apr 26, 2016 | $179.84 | $180.26 | $179.11 | $178.52 | 2 241 000 |
Apr 25, 2016 | $179.23 | $179.59 | $178.33 | $178.42 | 2 485 500 |
Apr 22, 2016 | $179.61 | $180.08 | $178.87 | $178.78 | 2 410 500 |
Apr 21, 2016 | $180.64 | $180.88 | $179.42 | $178.58 | 2 760 300 |
Apr 20, 2016 | $180.00 | $181.42 | $180.00 | $179.62 | 2 628 900 |
Apr 19, 2016 | $180.14 | $180.77 | $179.59 | $179.20 | 2 992 100 |
Apr 18, 2016 | $178.13 | $179.83 | $178.10 | $178.66 | 2 573 700 |
Apr 15, 2016 | $178.99 | $179.14 | $178.41 | $177.57 | 3 799 900 |
Apr 14, 2016 | $179.03 | $179.50 | $178.75 | $177.87 | 3 689 700 |
Apr 13, 2016 | $178.00 | $179.02 | $177.92 | $177.68 | 5 400 200 |
Apr 12, 2016 | $175.73 | $177.28 | $175.36 | $175.86 | 3 588 400 |
Apr 11, 2016 | $176.12 | $177.17 | $175.41 | $174.22 | 3 237 700 |
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.