CRYPTO:DAIUSD
Dai Cryptocurrency Price (Quote)
$1.00
+0 (+0%)
At Close: May 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.96 | $1.03 | Wednesday, 29th May 2024 DAIUSD stock ended at $1.00. During the day the stock fluctuated 1.56% from a day low at $0.99 to a day high of $1.00. |
90 days | $0.95 | $1.10 | |
52 weeks | $0.90 | $1.10 |
Historical Dai prices
Date | Open | High | Low | Close | Volume |
May 04, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 699 415 616 |
May 03, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 705 860 544 |
May 02, 2024 | $1.00 | $1.01 | $1.00 | $1.00 | 564 176 128 |
May 01, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 885 697 664 |
Apr 30, 2024 | $1.00 | $1.01 | $0.99 | $1.00 | 639 042 688 |
Apr 29, 2024 | $1.00 | $1.01 | $0.99 | $1.00 | 704 042 240 |
Apr 28, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 551 651 328 |
Apr 27, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 520 402 144 |
Apr 26, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 695 649 408 |
Apr 25, 2024 | $1.00 | $1.01 | $1.00 | $1.00 | 538 408 704 |
Apr 24, 2024 | $1.00 | $1.01 | $1.00 | $1.00 | 416 054 944 |
Apr 23, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 437 063 863 |
Apr 22, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 313 762 656 |
Apr 21, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 404 285 824 |
Apr 20, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 774 420 736 |
Apr 19, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 1 086 010 752 |
Apr 18, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 230 658 624 |
Apr 17, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 919 709 376 |
Apr 16, 2024 | $1.00 | $1.02 | $0.99 | $1.00 | 546 671 488 |
Apr 15, 2024 | $1.00 | $1.01 | $0.99 | $1.00 | 491 255 413 |
Apr 14, 2024 | $1.00 | $1.01 | $1.00 | $1.00 | 728 357 120 |
Apr 13, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 746 613 312 |
Apr 12, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 471 026 816 |
Apr 11, 2024 | $1.00 | $1.00 | $0.95 | $1.00 | 319 622 880 |
Apr 10, 2024 | $1.00 | $1.02 | $1.00 | $1.00 | 339 112 288 |
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 DAIUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the DAIUSD 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 DAIUSD 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.