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 |
Sep 30, 2021 | $0.0428 | $0.0453 | $0.0426 | $0.0447 | 20 548 292 |
Sep 29, 2021 | $0.0417 | $0.0441 | $0.0413 | $0.0428 | 16 556 781 |
Sep 28, 2021 | $0.0432 | $0.0446 | $0.0415 | $0.0416 | 22 597 942 |
Sep 27, 2021 | $0.0450 | $0.0467 | $0.0432 | $0.0432 | 18 960 548 |
Sep 26, 2021 | $0.0464 | $0.0465 | $0.0422 | $0.0449 | 21 367 269 |
Sep 25, 2021 | $0.0470 | $0.0476 | $0.0448 | $0.0464 | 21 813 518 |
Sep 24, 2021 | $0.0510 | $0.0512 | $0.0435 | $0.0470 | 29 672 156 |
Sep 23, 2021 | $0.0500 | $0.0509 | $0.0486 | $0.0509 | 23 997 274 |
Sep 22, 2021 | $0.0439 | $0.0500 | $0.0436 | $0.0499 | 29 804 165 |
Sep 21, 2021 | $0.0470 | $0.0493 | $0.0429 | $0.0439 | 29 180 973 |
Sep 20, 2021 | $0.0556 | $0.0557 | $0.0461 | $0.0468 | 41 141 540 |
Sep 19, 2021 | $0.0568 | $0.0576 | $0.0550 | $0.0557 | 19 938 667 |
Sep 18, 2021 | $0.0556 | $0.0579 | $0.0550 | $0.0568 | 20 862 285 |
Sep 17, 2021 | $0.0577 | $0.0582 | $0.0552 | $0.0557 | 26 715 292 |
Sep 16, 2021 | $0.0591 | $0.0611 | $0.0565 | $0.0577 | 35 597 233 |
Sep 15, 2021 | $0.0576 | $0.0593 | $0.0568 | $0.0593 | 27 372 683 |
Sep 14, 2021 | $0.0553 | $0.0578 | $0.0548 | $0.0576 | 24 932 560 |
Sep 13, 2021 | $0.0593 | $0.0595 | $0.0525 | $0.0553 | 31 632 292 |
Sep 12, 2021 | $0.0581 | $0.0610 | $0.0562 | $0.0592 | 30 538 482 |
Sep 11, 2021 | $0.0565 | $0.0622 | $0.0555 | $0.0582 | 39 391 110 |
Sep 10, 2021 | $0.0607 | $0.0620 | $0.0551 | $0.0565 | 38 453 943 |
Sep 09, 2021 | $0.0602 | $0.0633 | $0.0594 | $0.0607 | 37 482 112 |
Sep 08, 2021 | $0.0599 | $0.0632 | $0.0550 | $0.0616 | 49 221 873 |
Sep 07, 2021 | $0.0785 | $0.0785 | $0.0520 | $0.0600 | 87 932 701 |
Sep 06, 2021 | $0.0714 | $0.0790 | $0.0707 | $0.0785 | 103 926 070 |
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.