CRYPTO:ARPAUSD
ARPA Chain / US Dollar Cryptocurrency Price (Quote)
$0.0759
-0.0019 (-2.45%)
At Close: Jun 01, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0612 | $0.0867 | Saturday, 1st Jun 2024 ARPAUSD stock ended at $0.0759. This is 2.45% less than the trading day before Friday, 31st May 2024. During the day the stock fluctuated 2.93% from a day low at $0.0753 to a day high of $0.0775. |
90 days | $0.0580 | $0.125 | |
52 weeks | $0.0342 | $0.125 |
Historical ARPA Chain / US Dollar prices
Date | Open | High | Low | Close | Volume |
Jul 30, 2023 | $0.0512 | $0.0512 | $0.0484 | $0.0503 | 7 866 188 |
Jul 29, 2023 | $0.0512 | $0.0522 | $0.0506 | $0.0512 | 9 847 184 |
Jul 28, 2023 | $0.0494 | $0.0536 | $0.0491 | $0.0514 | 37 888 154 |
Jul 27, 2023 | $0.0488 | $0.0499 | $0.0484 | $0.0494 | 7 512 824 |
Jul 26, 2023 | $0.0479 | $0.0496 | $0.0471 | $0.0490 | 15 710 369 |
Jul 25, 2023 | $0.0470 | $0.0499 | $0.0461 | $0.0476 | 19 153 560 |
Jul 24, 2023 | $0.0506 | $0.0507 | $0.0459 | $0.0471 | 13 756 728 |
Jul 23, 2023 | $0.0494 | $0.0512 | $0.0491 | $0.0505 | 8 518 805 |
Jul 22, 2023 | $0.0508 | $0.0514 | $0.0491 | $0.0494 | 9 158 763 |
Jul 21, 2023 | $0.0506 | $0.0512 | $0.0502 | $0.0508 | 9 456 657 |
Jul 20, 2023 | $0.0495 | $0.0512 | $0.0494 | $0.0505 | 13 282 417 |
Jul 19, 2023 | $0.0489 | $0.0513 | $0.0489 | $0.0495 | 14 704 033 |
Jul 18, 2023 | $0.0519 | $0.0529 | $0.0486 | $0.0490 | 15 228 504 |
Jul 17, 2023 | $0.0500 | $0.0522 | $0.0494 | $0.0519 | 17 669 708 |
Jul 16, 2023 | $0.0516 | $0.0516 | $0.0497 | $0.0499 | 7 066 333 |
Jul 15, 2023 | $0.0515 | $0.0525 | $0.0508 | $0.0514 | 9 218 406 |
Jul 14, 2023 | $0.0533 | $0.0542 | $0.0497 | $0.0514 | 28 547 431 |
Jul 13, 2023 | $0.0487 | $0.0647 | $0.0484 | $0.0532 | 46 621 362 |
Jul 12, 2023 | $0.0490 | $0.0498 | $0.0480 | $0.0487 | 10 458 383 |
Jul 11, 2023 | $0.0495 | $0.0501 | $0.0485 | $0.0490 | 9 134 758 |
Jul 10, 2023 | $0.0488 | $0.0503 | $0.0474 | $0.0495 | 16 259 794 |
Jul 09, 2023 | $0.0494 | $0.0514 | $0.0488 | $0.0489 | 21 676 864 |
Jul 08, 2023 | $0.0482 | $0.0516 | $0.0482 | $0.0494 | 27 939 117 |
Jul 07, 2023 | $0.0476 | $0.0487 | $0.0471 | $0.0482 | 10 752 985 |
Jul 06, 2023 | $0.0511 | $0.0522 | $0.0476 | $0.0476 | 20 404 911 |
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.