NASDAQ:DGLY
Digital Ally Stock Price (Quote)
$3.07
+0.0850 (+2.85%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.93 | $3.24 | Tuesday, 21st May 2024 DGLY stock ended at $3.07. This is 2.85% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 17.74% from a day low at $2.65 to a day high of $3.12. |
90 days | $1.93 | $3.24 | |
52 weeks | $1.73 | $5.79 |
Date | Open | High | Low | Close | Volume |
May 24, 2022 | $0.95 | $0.97 | $0.87 | $0.88 | 912 657 |
May 23, 2022 | $0.96 | $1.00 | $0.95 | $0.97 | 370 590 |
May 20, 2022 | $1.04 | $1.05 | $0.98 | $1.00 | 586 994 |
May 19, 2022 | $0.98 | $1.04 | $0.97 | $1.01 | 311 535 |
May 18, 2022 | $1.02 | $1.05 | $0.95 | $0.98 | 309 701 |
May 17, 2022 | $1.03 | $1.04 | $1.01 | $1.02 | 188 105 |
May 16, 2022 | $1.01 | $1.04 | $1.00 | $1.01 | 289 748 |
May 13, 2022 | $0.96 | $1.03 | $0.96 | $1.03 | 409 219 |
May 12, 2022 | $0.92 | $0.98 | $0.88 | $0.95 | 471 275 |
May 11, 2022 | $1.00 | $1.04 | $0.92 | $0.93 | 580 977 |
May 10, 2022 | $1.02 | $1.06 | $1.01 | $1.02 | 324 078 |
May 09, 2022 | $1.04 | $1.04 | $1.01 | $1.02 | 688 984 |
May 06, 2022 | $1.09 | $1.10 | $1.06 | $1.06 | 383 565 |
May 05, 2022 | $1.21 | $1.21 | $1.10 | $1.11 | 519 747 |
May 04, 2022 | $1.16 | $1.20 | $1.15 | $1.18 | 556 942 |
May 03, 2022 | $1.12 | $1.22 | $1.12 | $1.18 | 1 363 245 |
May 02, 2022 | $1.13 | $1.15 | $1.11 | $1.13 | 122 997 |
Apr 29, 2022 | $1.09 | $1.13 | $1.09 | $1.13 | 94 275 |
Apr 28, 2022 | $1.10 | $1.12 | $1.09 | $1.10 | 181 721 |
Apr 27, 2022 | $1.12 | $1.13 | $1.08 | $1.10 | 550 556 |
Apr 26, 2022 | $1.15 | $1.15 | $1.11 | $1.12 | 234 111 |
Apr 25, 2022 | $1.14 | $1.17 | $1.11 | $1.17 | 338 895 |
Apr 22, 2022 | $1.09 | $1.15 | $1.08 | $1.14 | 71 139 |
Apr 21, 2022 | $1.14 | $1.15 | $1.10 | $1.10 | 309 000 |
Apr 20, 2022 | $1.15 | $1.15 | $1.10 | $1.15 | 396 600 |
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 DGLY stock historical prices to predict future price movements?
Trend Analysis: Examine the DGLY 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 DGLY 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.