CRYPTO:ROSEUSD
Oasis Network / US Dollar Cryptocurrency Price (Quote)
$0.0979
+0.0055 (+5.99%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0804 | $0.101 | Thursday, 30th May 2024 ROSEUSD stock ended at $0.0979. This is 5.99% more than the trading day before Wednesday, 29th May 2024. During the day the stock fluctuated 13.00% from a day low at $0.0896 to a day high of $0.101. |
90 days | $0.0804 | $0.186 | |
52 weeks | $0.0368 | $0.186 |
Historical Oasis Network / US Dollar prices
Date | Open | High | Low | Close | Volume |
Dec 26, 2023 | $0.134 | $0.149 | $0.121 | $0.140 | 148 658 160 |
Dec 25, 2023 | $0.115 | $0.141 | $0.113 | $0.136 | 43 951 166 |
Dec 24, 2023 | $0.115 | $0.141 | $0.113 | $0.136 | 126 049 168 |
Dec 23, 2023 | $0.110 | $0.124 | $0.109 | $0.118 | 55 143 847 |
Dec 22, 2023 | $0.110 | $0.126 | $0.109 | $0.118 | 170 981 824 |
Dec 21, 2023 | $0.0969 | $0.104 | $0.0917 | $0.0922 | 33 216 859 |
Dec 20, 2023 | $0.0968 | $0.105 | $0.0917 | $0.0920 | 105 061 064 |
Dec 19, 2023 | $0.0894 | $0.0909 | $0.0801 | $0.0888 | 13 410 881 |
Dec 18, 2023 | $0.0889 | $0.0907 | $0.0802 | $0.0888 | 49 664 572 |
Dec 17, 2023 | $0.0873 | $0.0956 | $0.0855 | $0.0916 | 14 581 663 |
Dec 16, 2023 | $0.0874 | $0.0955 | $0.0856 | $0.0915 | 49 078 512 |
Dec 15, 2023 | $0.0828 | $0.0933 | $0.0815 | $0.0915 | 18 745 555 |
Dec 14, 2023 | $0.0827 | $0.0960 | $0.0823 | $0.0916 | 68 855 522 |
Dec 13, 2023 | $0.0799 | $0.0829 | $0.0772 | $0.0811 | 8 514 178 |
Dec 12, 2023 | $0.0800 | $0.0829 | $0.0782 | $0.0810 | 33 259 968 |
Dec 11, 2023 | $0.0848 | $0.0872 | $0.0829 | $0.0862 | 5 476 702 |
Dec 10, 2023 | $0.0850 | $0.0871 | $0.0831 | $0.0862 | 25 987 682 |
Dec 09, 2023 | $0.0818 | $0.0864 | $0.0812 | $0.0853 | 9 581 670 |
Dec 08, 2023 | $0.0818 | $0.0865 | $0.0812 | $0.0853 | 34 132 184 |
Dec 07, 2023 | $0.0821 | $0.0833 | $0.0781 | $0.0812 | 10 986 155 |
Dec 06, 2023 | $0.0820 | $0.0833 | $0.0783 | $0.0814 | 39 075 568 |
Dec 05, 2023 | $0.0832 | $0.0841 | $0.0802 | $0.0816 | 34 408 220 |
Dec 04, 2023 | $0.0845 | $0.0887 | $0.0810 | $0.0827 | 38 716 639 |
Dec 03, 2023 | $0.0867 | $0.0880 | $0.0836 | $0.0845 | 22 302 043 |
Dec 02, 2023 | $0.0830 | $0.0875 | $0.0820 | $0.0866 | 30 287 823 |
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 ROSEUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the ROSEUSD 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 ROSEUSD 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.