CRYPTO:DAIUSD
Dai Cryptocurrency Price (Quote)
$1.00
+0.0002 (+0.0200%)
At Close: May 18, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.96 | $1.03 | Saturday, 18th May 2024 DAIUSD stock ended at $1.00. This is 0.0200% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 0.650% from a day low at $1.00 to a day high of $1.00. |
90 days | $0.95 | $1.10 | |
52 weeks | $0.90 | $1.10 |
Date | Open | High | Low | Close | Volume |
Mar 29, 2024 | $1.00 | $1.02 | $0.99 | $1.00 | 608 012 160 |
Mar 28, 2024 | $1.00 | $1.00 | $0.98 | $1.00 | 930 232 960 |
Mar 27, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 778 100 928 |
Mar 26, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 409 756 288 |
Mar 25, 2024 | $1.00 | $1.06 | $0.98 | $1.00 | 413 290 848 |
Mar 24, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 488 744 736 |
Mar 23, 2024 | $1.00 | $1.04 | $1.00 | $1.00 | 503 273 600 |
Mar 22, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 708 529 024 |
Mar 21, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 450 600 448 |
Mar 20, 2024 | $1.00 | $1.00 | $0.99 | $1.00 | 623 427 200 |
Mar 19, 2024 | $1.00 | $1.01 | $0.99 | $1.00 | 735 031 872 |
Mar 18, 2024 | $1.00 | $1.01 | $0.96 | $1.00 | 337 038 784 |
Mar 17, 2024 | $1.00 | $1.01 | $0.99 | $1.00 | 590 771 392 |
Mar 16, 2024 | $1.00 | $1.01 | $0.97 | $1.00 | 850 169 280 |
Mar 15, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 1 039 500 224 |
Mar 14, 2024 | $1.00 | $1.00 | $1.00 | $1.00 | 503 239 648 |
Mar 13, 2024 | $1.00 | $1.02 | $0.99 | $1.00 | 419 830 656 |
Mar 12, 2024 | $1.00 | $1.05 | $0.99 | $1.00 | 668 335 104 |
Mar 11, 2024 | $1.00 | $1.01 | $0.99 | $1.00 | 659 095 936 |
Mar 10, 2024 | $1.00 | $1.01 | $0.99 | $1.00 | 356 086 240 |
Mar 09, 2024 | $1.00 | $1.06 | $0.99 | $1.00 | 384 269 824 |
Mar 08, 2024 | $1.00 | $1.06 | $0.98 | $1.00 | 503 119 552 |
Mar 07, 2024 | $1.00 | $1.08 | $0.98 | $1.00 | 782 742 848 |
Mar 06, 2024 | $1.00 | $1.10 | $0.99 | $1.00 | 1 090 826 624 |
Mar 05, 2024 | $1.00 | $1.05 | $0.99 | $1.00 | 605 451 456 |
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.