CRYPTO:DAIUSD
Dai Cryptocurrency Price (Quote)
$1.00
+0.0004 (+0.0400%)
At Close: May 19, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.96 | $1.03 | Sunday, 19th May 2024 DAIUSD stock ended at $1.00. This is 0.0400% more than the trading day before Saturday, 18th May 2024. During the day the stock fluctuated 0.603% 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 |
Oct 07, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 47 390 141 |
Oct 06, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 60 841 696 |
Oct 05, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 79 046 376 |
Oct 04, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 105 687 444 |
Oct 03, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 86 663 004 |
Oct 02, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 123 620 717 |
Oct 01, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 94 375 863 |
Sep 30, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 63 143 181 |
Sep 29, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 80 869 928 |
Sep 28, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 101 481 441 |
Sep 27, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 81 155 950 |
Sep 26, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 63 832 983 |
Sep 25, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 114 545 893 |
Sep 24, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 48 885 697 |
Sep 23, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 107 981 349 |
Sep 22, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 71 307 258 |
Sep 21, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 84 099 819 |
Sep 20, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 83 337 762 |
Sep 19, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 106 018 722 |
Sep 18, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 94 325 938 |
Sep 17, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 52 246 844 |
Sep 16, 2023 | $1.00 | $1.01 | $1.00 | $1.00 | 50 172 574 |
Sep 15, 2023 | $1.00 | $1.01 | $1.00 | $1.00 | 94 376 588 |
Sep 14, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 109 894 161 |
Sep 13, 2023 | $1.00 | $1.03 | $1.00 | $1.00 | 85 210 776 |
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.