NASDAQ:DAKT
Daktronics Stock Price (Quote)
$11.30
+0.260 (+2.36%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.22 | $11.93 | Friday, 24th May 2024 DAKT stock ended at $11.30. This is 2.36% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 2.44% from a day low at $11.06 to a day high of $11.33. |
90 days | $7.38 | $11.93 | |
52 weeks | $5.94 | $12.42 |
Date | Open | High | Low | Close | Volume |
Apr 29, 2020 | $4.75 | $4.87 | $4.70 | $4.73 | 227 531 |
Apr 28, 2020 | $4.56 | $4.67 | $4.50 | $4.63 | 129 107 |
Apr 27, 2020 | $4.34 | $4.50 | $4.33 | $4.43 | 241 064 |
Apr 24, 2020 | $4.53 | $4.54 | $4.31 | $4.31 | 123 139 |
Apr 23, 2020 | $4.46 | $4.62 | $4.42 | $4.53 | 147 351 |
Apr 22, 2020 | $4.50 | $4.53 | $4.42 | $4.46 | 87 744 |
Apr 21, 2020 | $4.36 | $4.47 | $4.33 | $4.40 | 120 150 |
Apr 20, 2020 | $4.56 | $4.57 | $4.33 | $4.49 | 190 200 |
Apr 17, 2020 | $4.95 | $4.95 | $4.60 | $4.63 | 167 798 |
Apr 16, 2020 | $4.70 | $4.96 | $4.62 | $4.81 | 178 226 |
Apr 15, 2020 | $4.67 | $4.80 | $4.64 | $4.69 | 145 570 |
Apr 14, 2020 | $4.98 | $5.08 | $4.67 | $4.70 | 283 836 |
Apr 13, 2020 | $4.73 | $4.93 | $4.71 | $4.90 | 216 431 |
Apr 09, 2020 | $4.75 | $5.05 | $4.58 | $4.78 | 391 443 |
Apr 08, 2020 | $4.24 | $4.72 | $4.17 | $4.72 | 279 414 |
Apr 07, 2020 | $4.55 | $4.60 | $4.09 | $4.16 | 720 455 |
Apr 06, 2020 | $4.21 | $4.54 | $4.20 | $4.45 | 221 974 |
Apr 03, 2020 | $4.31 | $4.32 | $4.10 | $4.20 | 308 725 |
Apr 02, 2020 | $4.38 | $4.55 | $4.32 | $4.38 | 271 396 |
Apr 01, 2020 | $4.80 | $4.85 | $4.39 | $4.42 | 682 049 |
Mar 31, 2020 | $4.70 | $4.93 | $4.62 | $4.93 | 195 008 |
Mar 30, 2020 | $4.42 | $4.70 | $4.33 | $4.69 | 179 296 |
Mar 27, 2020 | $4.55 | $4.60 | $4.34 | $4.37 | 188 709 |
Mar 26, 2020 | $4.40 | $4.69 | $4.40 | $4.62 | 196 589 |
Mar 25, 2020 | $4.63 | $4.69 | $4.30 | $4.35 | 245 580 |
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 DAKT stock historical prices to predict future price movements?
Trend Analysis: Examine the DAKT 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 DAKT 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.