CRYPTO:DAOUSD
Dao Maker / Us Dollar Cryptocurrency Price (Quote)
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$0.0278
-0.0002 (-0.715%)
At Close: Jul 12, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0269 | $0.0363 | Sunday, 12th Jul 2026 DAOUSD stock ended at $0.0278. This is 0.715% less than the trading day before Saturday, 11th Jul 2026. During the day the stock fluctuated 1.60% from a day low at $0.0277 to a day high of $0.0282. |
| 90 days | $0.0266 | $0.0687 | |
| 52 weeks | $0.0266 | $0.162 |
Historical DAO Maker / US Dollar prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 12, 2026 | $0.0281 | $0.0282 | $0.0277 | $0.0278 | 1 189 531 |
| Jul 11, 2026 | $0.0281 | $0.0284 | $0.0278 | $0.0280 | 980 592 |
| Jul 10, 2026 | $0.0277 | $0.0284 | $0.0277 | $0.0280 | 1 037 596 |
| Jul 09, 2026 | $0.0277 | $0.0277 | $0.0277 | $0.0277 | 1 014 058 |
| Jul 08, 2026 | $0.0294 | $0.0295 | $0.0278 | $0.0278 | 1 253 218 |
| Jul 07, 2026 | $0.0294 | $0.0295 | $0.0294 | $0.0294 | 1 046 997 |
| Jul 06, 2026 | $0.0286 | $0.0299 | $0.0284 | $0.0295 | 1 882 558 |
| Jul 05, 2026 | $0.0287 | $0.0287 | $0.0284 | $0.0285 | 1 205 008 |
| Jul 04, 2026 | $0.0287 | $0.0287 | $0.0286 | $0.0287 | 940 867 |
| Jul 03, 2026 | $0.0287 | $0.0288 | $0.0287 | $0.0287 | 868 828 |
| Jul 02, 2026 | $0.0282 | $0.0282 | $0.0282 | $0.0282 | 1 079 556 |
| Jul 01, 2026 | $0.0276 | $0.0288 | $0.0269 | $0.0277 | 1 562 685 |
| Jun 30, 2026 | $0.0291 | $0.0295 | $0.0274 | $0.0276 | 1 305 424 |
| Jun 29, 2026 | $0.0292 | $0.0296 | $0.0290 | $0.0291 | 1 990 753 |
| Jun 28, 2026 | $0.0292 | $0.0292 | $0.0291 | $0.0292 | 1 108 792 |
| Jun 27, 2026 | $0.0293 | $0.0294 | $0.0293 | $0.0294 | 714 237 |
| Jun 26, 2026 | $0.0291 | $0.0295 | $0.0290 | $0.0292 | 1 242 584 |
| Jun 25, 2026 | $0.0291 | $0.0291 | $0.0291 | $0.0291 | 1 673 759 |
| Jun 24, 2026 | $0.0292 | $0.0301 | $0.0289 | $0.0291 | 1 442 544 |
| Jun 23, 2026 | $0.0302 | $0.0304 | $0.0290 | $0.0293 | 1 247 857 |
| Jun 22, 2026 | $0.0314 | $0.0317 | $0.0302 | $0.0302 | 1 583 470 |
| Jun 21, 2026 | $0.0314 | $0.0317 | $0.0313 | $0.0316 | 972 437 |
| Jun 20, 2026 | $0.0313 | $0.0318 | $0.0313 | $0.0317 | 996 304 |
| Jun 19, 2026 | $0.0310 | $0.0314 | $0.0310 | $0.0312 | 2 608 884 |
| Jun 18, 2026 | $0.0327 | $0.0327 | $0.0321 | $0.0322 | 1 194 306 |
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.
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