CRYPTO:ALPHAUSD
Alpha Finance Lab / US Dollar Cryptocurrency Price (Quote)
$0.125
+0.0003 (+0.240%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0967 | $0.127 | Tuesday, 28th May 2024 ALPHAUSD stock ended at $0.125. This is 0.240% more than the trading day before Monday, 27th May 2024. During the day the stock fluctuated 4.22% from a day low at $0.121 to a day high of $0.126. |
90 days | $0.0967 | $0.210 | |
52 weeks | $0.0670 | $0.300 |
Historical Alpha Finance Lab / US Dollar prices
Date | Open | High | Low | Close | Volume |
May 03, 2024 | $0.106 | $0.110 | $0.102 | $0.108 | 4 062 374 |
May 02, 2024 | $0.106 | $0.108 | $0.0967 | $0.104 | 3 840 393 |
May 01, 2024 | $0.111 | $0.113 | $0.102 | $0.106 | 7 354 895 |
Apr 30, 2024 | $0.112 | $0.114 | $0.108 | $0.110 | 2 053 444 |
Apr 29, 2024 | $0.117 | $0.119 | $0.112 | $0.112 | 6 037 464 |
Apr 28, 2024 | $0.117 | $0.118 | $0.111 | $0.116 | 2 420 558 |
Apr 27, 2024 | $0.120 | $0.121 | $0.115 | $0.117 | 5 757 411 |
Apr 26, 2024 | $0.120 | $0.122 | $0.115 | $0.121 | 4 233 017 |
Apr 25, 2024 | $0.125 | $0.132 | $0.118 | $0.120 | 9 238 622 |
Apr 24, 2024 | $0.124 | $0.126 | $0.123 | $0.124 | 407 712 |
Apr 23, 2024 | $0.123 | $0.136 | $0.122 | $0.124 | 13 033 115 |
Apr 22, 2024 | $0.126 | $0.127 | $0.119 | $0.121 | 2 499 258 |
Apr 21, 2024 | $0.117 | $0.126 | $0.116 | $0.126 | 6 073 669 |
Apr 20, 2024 | $0.115 | $0.121 | $0.105 | $0.118 | 3 673 152 |
Apr 19, 2024 | $0.111 | $0.116 | $0.108 | $0.115 | 7 819 825 |
Apr 18, 2024 | $0.114 | $0.115 | $0.107 | $0.113 | 1 697 266 |
Apr 17, 2024 | $0.113 | $0.116 | $0.108 | $0.114 | 4 795 930 |
Apr 16, 2024 | $0.123 | $0.128 | $0.108 | $0.113 | 3 214 624 |
Apr 15, 2024 | $0.117 | $0.125 | $0.111 | $0.123 | 8 821 048 |
Apr 14, 2024 | $0.139 | $0.139 | $0.132 | $0.135 | 765 507 |
Apr 13, 2024 | $0.171 | $0.176 | $0.126 | $0.139 | 17 219 212 |
Apr 12, 2024 | $0.183 | $0.190 | $0.169 | $0.171 | 16 535 016 |
Apr 11, 2024 | $0.177 | $0.187 | $0.160 | $0.182 | 10 401 693 |
Apr 10, 2024 | $0.175 | $0.188 | $0.170 | $0.177 | 21 205 032 |
Apr 09, 2024 | $0.174 | $0.178 | $0.170 | $0.177 | 7 337 369 |
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 ALPHAUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the ALPHAUSD 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 ALPHAUSD 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.