CRYPTO:DGBUSD
DigiByte / US Dollar Cryptocurrency Price (Quote)
$0.0113
-0.00001 (-0.0884%)
At Close: Jun 01, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0101 | $0.0153 | Saturday, 1st Jun 2024 DGBUSD stock ended at $0.0113. This is 0.0884% less than the trading day before Friday, 31st May 2024. During the day the stock fluctuated 3.02% from a day low at $0.0113 to a day high of $0.0116. |
90 days | $0.0101 | $0.0229 | |
52 weeks | $0.0058 | $0.0229 |
Historical DigiByte / US Dollar prices
Date | Open | High | Low | Close | Volume |
May 28, 2021 | $0.0705 | $0.0710 | $0.0570 | $0.0613 | 59 732 040 |
May 27, 2021 | $0.0787 | $0.0787 | $0.0689 | $0.0704 | 60 368 753 |
May 26, 2021 | $0.0693 | $0.0788 | $0.0680 | $0.0786 | 68 619 416 |
May 25, 2021 | $0.0714 | $0.0748 | $0.0633 | $0.0692 | 51 843 780 |
May 24, 2021 | $0.0623 | $0.0731 | $0.0611 | $0.0713 | 62 210 935 |
May 23, 2021 | $0.0707 | $0.0734 | $0.0499 | $0.0624 | 88 236 151 |
May 22, 2021 | $0.0774 | $0.0793 | $0.0673 | $0.0706 | 54 715 748 |
May 21, 2021 | $0.0902 | $0.0940 | $0.0618 | $0.0770 | 91 519 730 |
May 20, 2021 | $0.0734 | $0.103 | $0.0666 | $0.0907 | 133 650 638 |
May 19, 2021 | $0.109 | $0.110 | $0.0507 | $0.0741 | 153 016 819 |
May 18, 2021 | $0.101 | $0.109 | $0.0992 | $0.109 | 70 691 639 |
May 17, 2021 | $0.112 | $0.115 | $0.0970 | $0.101 | 125 904 054 |
May 16, 2021 | $0.108 | $0.119 | $0.101 | $0.112 | 141 878 864 |
May 15, 2021 | $0.119 | $0.121 | $0.106 | $0.108 | 130 837 035 |
May 14, 2021 | $0.116 | $0.125 | $0.115 | $0.119 | 104 509 131 |
May 13, 2021 | $0.109 | $0.125 | $0.102 | $0.116 | 140 047 678 |
May 12, 2021 | $0.132 | $0.142 | $0.110 | $0.110 | 108 369 466 |
May 11, 2021 | $0.128 | $0.133 | $0.124 | $0.133 | 79 982 380 |
May 10, 2021 | $0.145 | $0.152 | $0.115 | $0.128 | 134 176 142 |
May 09, 2021 | $0.147 | $0.148 | $0.137 | $0.145 | 103 294 294 |
May 08, 2021 | $0.149 | $0.157 | $0.145 | $0.147 | 125 866 764 |
May 07, 2021 | $0.140 | $0.152 | $0.138 | $0.149 | 135 686 467 |
May 06, 2021 | $0.145 | $0.154 | $0.137 | $0.140 | 132 948 857 |
May 05, 2021 | $0.134 | $0.153 | $0.132 | $0.145 | 166 906 302 |
May 04, 2021 | $0.151 | $0.151 | $0.131 | $0.134 | 178 411 609 |
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 DGBUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the DGBUSD 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 DGBUSD 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.