CRYPTO:ARPAUSD
ARPA Chain / US Dollar Cryptocurrency Price (Quote)
$0.0717
+0.0019 (+2.75%)
At Close: May 18, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0611 | $0.0867 | Saturday, 18th May 2024 ARPAUSD stock ended at $0.0717. This is 2.75% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 3.11% from a day low at $0.0707 to a day high of $0.0729. |
90 days | $0.0580 | $0.125 | |
52 weeks | $0.0342 | $0.139 |
Date | Open | High | Low | Close | Volume |
Jan 08, 2024 | $0.0685 | $0.0720 | $0.0621 | $0.0627 | 7 470 288 |
Jan 07, 2024 | $0.0688 | $0.0746 | $0.0615 | $0.0626 | 43 487 936 |
Jan 06, 2024 | $0.0594 | $0.0788 | $0.0590 | $0.0679 | 47 301 195 |
Jan 05, 2024 | $0.0596 | $0.0817 | $0.0592 | $0.0680 | 205 519 808 |
Jan 04, 2024 | $0.0575 | $0.0656 | $0.0470 | $0.0618 | 17 144 463 |
Jan 03, 2024 | $0.0576 | $0.0657 | $0.0487 | $0.0620 | 75 669 920 |
Jan 02, 2024 | $0.0537 | $0.0644 | $0.0528 | $0.0620 | 12 503 802 |
Jan 01, 2024 | $0.0537 | $0.0644 | $0.0529 | $0.0623 | 64 955 872 |
Dec 31, 2023 | $0.0557 | $0.0565 | $0.0546 | $0.0557 | 2 116 122 |
Dec 30, 2023 | $0.0555 | $0.0565 | $0.0546 | $0.0559 | 13 530 230 |
Dec 29, 2023 | $0.0605 | $0.0619 | $0.0557 | $0.0561 | 4 728 180 |
Dec 28, 2023 | $0.0608 | $0.0620 | $0.0550 | $0.0561 | 26 792 462 |
Dec 27, 2023 | $0.0574 | $0.0638 | $0.0554 | $0.0629 | 16 084 530 |
Dec 26, 2023 | $0.0574 | $0.0708 | $0.0554 | $0.0622 | 66 450 164 |
Dec 25, 2023 | $0.0546 | $0.0575 | $0.0532 | $0.0559 | 8 553 596 |
Dec 24, 2023 | $0.0545 | $0.0583 | $0.0533 | $0.0558 | 40 917 728 |
Dec 23, 2023 | $0.0529 | $0.0545 | $0.0518 | $0.0537 | 4 453 610 |
Dec 22, 2023 | $0.0530 | $0.0544 | $0.0519 | $0.0536 | 23 437 554 |
Dec 21, 2023 | $0.0493 | $0.0513 | $0.0489 | $0.0501 | 3 812 206 |
Dec 20, 2023 | $0.0496 | $0.0513 | $0.0479 | $0.0500 | 23 402 236 |
Dec 19, 2023 | $0.0509 | $0.0510 | $0.0463 | $0.0493 | 3 942 428 |
Dec 18, 2023 | $0.0508 | $0.0509 | $0.0464 | $0.0491 | 25 101 102 |
Dec 17, 2023 | $0.0499 | $0.0521 | $0.0497 | $0.0511 | 2 977 188 |
Dec 16, 2023 | $0.0502 | $0.0520 | $0.0500 | $0.0510 | 19 309 958 |
Dec 15, 2023 | $0.0500 | $0.0517 | $0.0487 | $0.0514 | 3 184 695 |
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.