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 |
Oct 24, 2023 | $0.0439 | $0.0478 | $0.0435 | $0.0452 | 27 916 734 |
Oct 23, 2023 | $0.0424 | $0.0443 | $0.0419 | $0.0441 | 11 344 717 |
Oct 22, 2023 | $0.0416 | $0.0426 | $0.0415 | $0.0424 | 7 216 698 |
Oct 21, 2023 | $0.0402 | $0.0424 | $0.0400 | $0.0416 | 7 678 914 |
Oct 20, 2023 | $0.0396 | $0.0409 | $0.0392 | $0.0402 | 8 780 457 |
Oct 19, 2023 | $0.0392 | $0.0404 | $0.0385 | $0.0394 | 11 002 110 |
Oct 18, 2023 | $0.0396 | $0.0401 | $0.0389 | $0.0393 | 5 416 733 |
Oct 17, 2023 | $0.0410 | $0.0412 | $0.0392 | $0.0397 | 8 861 239 |
Oct 16, 2023 | $0.0405 | $0.0422 | $0.0404 | $0.0412 | 10 443 070 |
Oct 15, 2023 | $0.0401 | $0.0410 | $0.0401 | $0.0403 | 7 447 439 |
Oct 14, 2023 | $0.0401 | $0.0405 | $0.0400 | $0.0402 | 6 463 542 |
Oct 13, 2023 | $0.0397 | $0.0403 | $0.0397 | $0.0399 | 5 499 821 |
Oct 12, 2023 | $0.0404 | $0.0405 | $0.0393 | $0.0399 | 6 525 367 |
Oct 11, 2023 | $0.0401 | $0.0409 | $0.0395 | $0.0404 | 10 628 985 |
Oct 10, 2023 | $0.0401 | $0.0405 | $0.0397 | $0.0403 | 6 546 138 |
Oct 09, 2023 | $0.0423 | $0.0427 | $0.0393 | $0.0401 | 10 433 781 |
Oct 08, 2023 | $0.0431 | $0.0432 | $0.0420 | $0.0423 | 6 304 354 |
Oct 07, 2023 | $0.0434 | $0.0436 | $0.0428 | $0.0430 | 4 722 999 |
Oct 06, 2023 | $0.0430 | $0.0437 | $0.0429 | $0.0434 | 6 794 096 |
Oct 05, 2023 | $0.0434 | $0.0436 | $0.0425 | $0.0428 | 5 963 287 |
Oct 04, 2023 | $0.0432 | $0.0437 | $0.0421 | $0.0434 | 9 589 616 |
Oct 03, 2023 | $0.0442 | $0.0447 | $0.0432 | $0.0434 | 8 560 093 |
Oct 02, 2023 | $0.0457 | $0.0460 | $0.0432 | $0.0442 | 11 337 879 |
Oct 01, 2023 | $0.0436 | $0.0464 | $0.0436 | $0.0459 | 14 417 089 |
Sep 30, 2023 | $0.0431 | $0.0438 | $0.0430 | $0.0436 | 8 102 302 |
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.