CRYPTO:DAOUSD
DAO Maker / US Dollar Cryptocurrency Price (Quote)
$0.81
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.760 | $1.18 | Thursday, 16th May 2024 DAOUSD stock ended at $0.81. During the day the stock fluctuated 0% from a day low at $0.81 to a day high of $0.81. |
90 days | $0.760 | $2.85 | |
52 weeks | $0.506 | $2.85 |
Date | Open | High | Low | Close | Volume |
Mar 02, 2024 | $1.01 | $1.08 | $1.01 | $1.07 | 4 337 428 |
Mar 01, 2024 | $0.99 | $1.01 | $0.99 | $1.00 | 3 557 879 |
Feb 29, 2024 | $0.96 | $0.99 | $0.95 | $0.99 | 4 526 380 |
Feb 28, 2024 | $0.94 | $0.99 | $0.93 | $0.96 | 4 990 017 |
Feb 27, 2024 | $0.93 | $0.95 | $0.93 | $0.94 | 3 764 143 |
Feb 26, 2024 | $0.94 | $0.94 | $0.92 | $0.93 | 3 025 972 |
Feb 25, 2024 | $0.94 | $0.96 | $0.93 | $0.94 | 3 291 424 |
Feb 24, 2024 | $0.92 | $0.94 | $0.92 | $0.94 | 2 408 446 |
Feb 23, 2024 | $0.93 | $0.93 | $0.90 | $0.92 | 3 023 435 |
Feb 22, 2024 | $0.92 | $0.94 | $0.91 | $0.93 | 3 067 395 |
Feb 21, 2024 | $0.93 | $0.94 | $0.90 | $0.91 | 3 302 604 |
Feb 20, 2024 | $0.94 | $0.95 | $0.92 | $0.93 | 4 439 433 |
Feb 19, 2024 | $0.95 | $0.97 | $0.94 | $0.95 | 4 749 322 |
Feb 18, 2024 | $0.92 | $0.95 | $0.92 | $0.94 | 2 328 564 |
Feb 17, 2024 | $0.93 | $0.94 | $0.92 | $0.93 | 2 867 296 |
Feb 16, 2024 | $0.95 | $0.96 | $0.93 | $0.93 | 3 539 066 |
Feb 15, 2024 | $0.98 | $1.00 | $0.95 | $0.96 | 3 367 145 |
Feb 14, 2024 | $1.01 | $1.02 | $0.98 | $0.98 | 4 523 253 |
Feb 13, 2024 | $0.98 | $1.03 | $0.96 | $1.01 | 5 005 703 |
Feb 12, 2024 | $0.94 | $0.99 | $0.93 | $0.98 | 3 458 275 |
Feb 11, 2024 | $0.97 | $0.98 | $0.94 | $0.94 | 2 893 815 |
Feb 10, 2024 | $0.95 | $0.97 | $0.94 | $0.97 | 2 719 611 |
Feb 09, 2024 | $0.89 | $0.95 | $0.89 | $0.95 | 2 723 762 |
Feb 08, 2024 | $0.87 | $0.89 | $0.87 | $0.89 | 2 876 453 |
Feb 07, 2024 | $0.85 | $0.88 | $0.85 | $0.87 | 3 399 760 |
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 DAOUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the DAOUSD 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 DAOUSD 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.