CRYPTO:ARPAUSD
Arpa Chain / Us Dollar Cryptocurrency Price (Quote)
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$0.0086
+0.00003113 (+0.362%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0076 | $0.0109 | Monday, 13th Jul 2026 ARPAUSD stock ended at $0.0086. This is 0.362% more than the trading day before Sunday, 12th Jul 2026. During the day the stock fluctuated 2.85% from a day low at $0.0085 to a day high of $0.0087. |
| 90 days | $0.0076 | $0.0125 | |
| 52 weeks | $0.0076 | $0.0500 |
Historical ARPA Chain / US Dollar prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $0.0086 | $0.0087 | $0.0085 | $0.0086 | 4 990 242 |
| Jul 12, 2026 | $0.0086 | $0.0087 | $0.0086 | $0.0086 | 8 536 534 |
| Jul 11, 2026 | $0.0086 | $0.0087 | $0.0086 | $0.0086 | 8 577 537 |
| Jul 10, 2026 | $0.0087 | $0.0087 | $0.0086 | $0.0086 | 6 869 040 |
| Jul 09, 2026 | $0.0086 | $0.0086 | $0.0085 | $0.0086 | 7 600 020 |
| Jul 08, 2026 | $0.0086 | $0.0091 | $0.0084 | $0.0089 | 18 975 688 |
| Jul 07, 2026 | $0.0086 | $0.0087 | $0.0086 | $0.0087 | 11 899 818 |
| Jul 06, 2026 | $0.0093 | $0.0105 | $0.0089 | $0.0092 | 29 404 770 |
| Jul 05, 2026 | $0.0093 | $0.0093 | $0.0092 | $0.0092 | 18 914 610 |
| Jul 04, 2026 | $0.0105 | $0.0109 | $0.0104 | $0.0104 | 52 709 556 |
| Jul 03, 2026 | $0.0102 | $0.0102 | $0.0101 | $0.0101 | 146 618 464 |
| Jul 02, 2026 | $0.0080 | $0.0080 | $0.0080 | $0.0080 | 5 645 275 |
| Jul 01, 2026 | $0.0077 | $0.0080 | $0.0076 | $0.0079 | 5 601 943 |
| Jun 30, 2026 | $0.0079 | $0.0079 | $0.0076 | $0.0077 | 3 036 539 |
| Jun 29, 2026 | $0.0078 | $0.0080 | $0.0078 | $0.0079 | 4 394 897 |
| Jun 28, 2026 | $0.0078 | $0.0078 | $0.0078 | $0.0078 | 4 156 700 |
| Jun 27, 2026 | $0.0078 | $0.0079 | $0.0078 | $0.0079 | 4 946 049 |
| Jun 26, 2026 | $0.0081 | $0.0081 | $0.0080 | $0.0081 | 5 128 566 |
| Jun 25, 2026 | $0.0080 | $0.0080 | $0.0080 | $0.0080 | 6 910 476 |
| Jun 24, 2026 | $0.0084 | $0.0085 | $0.0079 | $0.0081 | 5 446 168 |
| Jun 23, 2026 | $0.0084 | $0.0085 | $0.0084 | $0.0085 | 4 762 331 |
| Jun 22, 2026 | $0.0085 | $0.0096 | $0.0085 | $0.0088 | 14 316 939 |
| Jun 21, 2026 | $0.0084 | $0.0085 | $0.0084 | $0.0085 | 6 033 993 |
| Jun 20, 2026 | $0.0089 | $0.0090 | $0.0088 | $0.0090 | 15 050 000 |
| Jun 19, 2026 | $0.0083 | $0.0084 | $0.0083 | $0.0084 | 9 340 889 |
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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