CRYPTO:ARPAUSD
Arpa Chain / Us Dollar Cryptocurrency Price (Quote)
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$0.0095
-0.0002 (-1.65%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0095 | $0.0125 | Wednesday, 3rd Jun 2026 ARPAUSD stock ended at $0.0095. This is 1.65% less than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 1.05% from a day low at $0.0095 to a day high of $0.0096. |
| 90 days | $0.0087 | $0.0125 | |
| 52 weeks | $0.0085 | $0.0500 |
Historical ARPA Chain / US Dollar prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $0.0096 | $0.0096 | $0.0095 | $0.0095 | 344 |
| Jun 02, 2026 | $0.0096 | $0.0097 | $0.0096 | $0.0097 | 2 101 463 |
| Jun 01, 2026 | $0.0101 | $0.0102 | $0.0101 | $0.0102 | 2 044 672 |
| May 31, 2026 | $0.0101 | $0.0104 | $0.0099 | $0.0103 | 3 555 914 |
| May 30, 2026 | $0.0102 | $0.0103 | $0.0101 | $0.0101 | 3 559 492 |
| May 29, 2026 | $0.0100 | $0.0103 | $0.0099 | $0.0100 | 2 542 337 |
| May 28, 2026 | $0.0103 | $0.0103 | $0.0098 | $0.0100 | 3 965 742 |
| May 27, 2026 | $0.0106 | $0.0106 | $0.0102 | $0.0102 | 3 235 561 |
| May 26, 2026 | $0.0109 | $0.0109 | $0.0105 | $0.0106 | 3 496 947 |
| May 25, 2026 | $0.0109 | $0.0112 | $0.0109 | $0.0109 | 4 661 163 |
| May 24, 2026 | $0.0110 | $0.0110 | $0.0107 | $0.0108 | 2 606 098 |
| May 23, 2026 | $0.0110 | $0.0113 | $0.0106 | $0.0112 | 4 326 988 |
| May 22, 2026 | $0.0116 | $0.0118 | $0.0110 | $0.0110 | 7 201 043 |
| May 21, 2026 | $0.0115 | $0.0120 | $0.0115 | $0.0116 | 7 163 309 |
| May 20, 2026 | $0.0115 | $0.0118 | $0.0114 | $0.0115 | 4 863 904 |
| May 19, 2026 | $0.0118 | $0.0124 | $0.0115 | $0.0117 | 12 886 191 |
| May 18, 2026 | $0.0113 | $0.0117 | $0.0110 | $0.0116 | 7 549 957 |
| May 17, 2026 | $0.0113 | $0.0123 | $0.0111 | $0.0113 | 15 059 893 |
| May 16, 2026 | $0.0122 | $0.0123 | $0.0111 | $0.0113 | 8 547 755 |
| May 15, 2026 | $0.0116 | $0.0125 | $0.0115 | $0.0121 | 35 686 728 |
| May 14, 2026 | $0.0111 | $0.0117 | $0.0110 | $0.0116 | 11 715 605 |
| May 13, 2026 | $0.0115 | $0.0117 | $0.0110 | $0.0111 | 14 892 549 |
| May 12, 2026 | $0.0111 | $0.0122 | $0.0109 | $0.0114 | 34 938 428 |
| May 11, 2026 | $0.0111 | $0.0111 | $0.0110 | $0.0111 | 11 089 190 |
| May 10, 2026 | $0.0107 | $0.0109 | $0.0106 | $0.0107 | 6 333 829 |
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.
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