CRYPTO:UMAUSD
UMA / US Dollar Cryptocurrency Price (Quote)
$3.66
-0.263 (-6.70%)
At Close: May 15, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.40 | $4.48 | Wednesday, 15th May 2024 UMAUSD stock ended at $3.66. This is 6.70% less than the trading day before Tuesday, 14th May 2024. During the day the stock fluctuated 6.00% from a day low at $3.50 to a day high of $3.71. |
90 days | $2.34 | $5.22 | |
52 weeks | $1.23 | $7.24 |
Date | Open | High | Low | Close | Volume |
Mar 01, 2024 | $4.12 | $4.31 | $4.11 | $4.29 | 19 610 188 |
Feb 29, 2024 | $4.26 | $4.80 | $3.30 | $4.10 | 17 309 419 |
Feb 28, 2024 | $4.26 | $4.85 | $3.60 | $4.09 | 59 529 168 |
Feb 27, 2024 | $3.96 | $4.23 | $3.89 | $4.20 | 8 701 216 |
Feb 26, 2024 | $3.96 | $4.24 | $3.89 | $4.21 | 32 833 358 |
Feb 25, 2024 | $3.98 | $4.06 | $3.88 | $3.95 | 14 958 747 |
Feb 24, 2024 | $3.89 | $4.07 | $3.78 | $3.98 | 19 910 139 |
Feb 23, 2024 | $3.86 | $3.97 | $3.76 | $3.88 | 21 136 847 |
Feb 22, 2024 | $3.96 | $3.98 | $3.76 | $3.85 | 22 573 986 |
Feb 21, 2024 | $3.92 | $4.18 | $3.77 | $3.96 | 34 737 639 |
Feb 20, 2024 | $4.27 | $4.52 | $3.67 | $3.92 | 62 009 962 |
Feb 19, 2024 | $4.22 | $4.30 | $4.13 | $4.27 | 29 847 804 |
Feb 18, 2024 | $4.16 | $4.25 | $4.10 | $4.22 | 24 191 279 |
Feb 17, 2024 | $4.25 | $4.27 | $4.01 | $4.16 | 23 404 306 |
Feb 16, 2024 | $4.47 | $4.48 | $4.16 | $4.25 | 32 826 374 |
Feb 15, 2024 | $4.56 | $4.75 | $4.30 | $4.46 | 72 775 479 |
Feb 14, 2024 | $4.26 | $4.61 | $4.19 | $4.56 | 55 382 138 |
Feb 13, 2024 | $4.42 | $4.50 | $4.14 | $4.27 | 53 830 294 |
Feb 12, 2024 | $4.00 | $4.84 | $3.93 | $4.43 | 188 000 318 |
Feb 11, 2024 | $4.08 | $4.14 | $3.95 | $4.00 | 18 648 475 |
Feb 10, 2024 | $4.17 | $4.21 | $4.06 | $4.08 | 19 791 359 |
Feb 09, 2024 | $4.09 | $4.33 | $4.04 | $4.17 | 32 057 530 |
Feb 08, 2024 | $4.13 | $4.19 | $3.99 | $4.09 | 35 533 600 |
Feb 07, 2024 | $4.08 | $4.31 | $4.06 | $4.13 | 36 624 642 |
Feb 06, 2024 | $4.08 | $4.43 | $4.04 | $4.07 | 26 562 706 |
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 UMAUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the UMAUSD 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 UMAUSD 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.