CRYPTO:ARPAUSD
ARPA Chain / US Dollar Cryptocurrency Price (Quote)
$0.0767
+0.0046 (+6.38%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0611 | $0.0867 | Tuesday, 28th May 2024 ARPAUSD stock ended at $0.0767. This is 6.38% more than the trading day before Monday, 27th May 2024. During the day the stock fluctuated 10.03% from a day low at $0.0708 to a day high of $0.0779. |
90 days | $0.0580 | $0.125 | |
52 weeks | $0.0342 | $0.125 |
Historical ARPA Chain / US Dollar prices
Date | Open | High | Low | Close | Volume |
May 03, 2024 | $0.0636 | $0.0655 | $0.0612 | $0.0653 | 1 445 074 |
May 02, 2024 | $0.0636 | $0.0654 | $0.0614 | $0.0654 | 8 336 262 |
May 01, 2024 | $0.0683 | $0.0693 | $0.0611 | $0.0626 | 1 867 030 |
Apr 30, 2024 | $0.0682 | $0.0692 | $0.0612 | $0.0625 | 9 917 818 |
Apr 29, 2024 | $0.0703 | $0.0726 | $0.0697 | $0.0706 | 1 364 627 |
Apr 28, 2024 | $0.0703 | $0.0724 | $0.0697 | $0.0706 | 7 315 115 |
Apr 27, 2024 | $0.0720 | $0.0727 | $0.0700 | $0.0711 | 1 751 570 |
Apr 26, 2024 | $0.0719 | $0.0725 | $0.0700 | $0.0708 | 9 912 100 |
Apr 25, 2024 | $0.0764 | $0.0784 | $0.0720 | $0.0727 | 2 944 156 |
Apr 24, 2024 | $0.0763 | $0.0782 | $0.0720 | $0.0726 | 15 480 426 |
Apr 23, 2024 | $0.0750 | $0.0788 | $0.0749 | $0.0780 | 3 184 098 |
Apr 22, 2024 | $0.0751 | $0.0788 | $0.0749 | $0.0779 | 14 723 802 |
Apr 21, 2024 | $0.0701 | $0.0771 | $0.0691 | $0.0764 | 3 813 944 |
Apr 20, 2024 | $0.0699 | $0.0770 | $0.0692 | $0.0764 | 16 710 944 |
Apr 19, 2024 | $0.0682 | $0.0713 | $0.0661 | $0.0703 | 2 271 506 |
Apr 18, 2024 | $0.0685 | $0.0712 | $0.0661 | $0.0705 | 13 006 604 |
Apr 17, 2024 | $0.0715 | $0.0731 | $0.0661 | $0.0699 | 5 635 269 |
Apr 16, 2024 | $0.0711 | $0.0731 | $0.0662 | $0.0699 | 24 849 884 |
Apr 15, 2024 | $0.0719 | $0.0791 | $0.0686 | $0.0732 | 7 066 319 |
Apr 14, 2024 | $0.0719 | $0.0792 | $0.0688 | $0.0731 | 45 489 516 |
Apr 13, 2024 | $0.0992 | $0.103 | $0.0752 | $0.0797 | 9 817 207 |
Apr 12, 2024 | $0.0994 | $0.102 | $0.0753 | $0.0798 | 43 265 736 |
Apr 11, 2024 | $0.103 | $0.107 | $0.0958 | $0.0977 | 15 838 038 |
Apr 10, 2024 | $0.103 | $0.107 | $0.0960 | $0.0978 | 73 214 704 |
Apr 09, 2024 | $0.0952 | $0.103 | $0.0931 | $0.101 | 8 979 781 |
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 ARPAUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the ARPAUSD 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 ARPAUSD 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.