CRYPTO:ALPHAUSD
Alpha Finance Lab / US Dollar Cryptocurrency Price (Quote)
$0.113
+0.0039 (+3.59%)
At Close: May 18, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0967 | $0.136 | Saturday, 18th May 2024 ALPHAUSD stock ended at $0.113. This is 3.59% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 6.52% from a day low at $0.107 to a day high of $0.114. |
90 days | $0.0967 | $0.210 | |
52 weeks | $0.0670 | $0.300 |
Date | Open | High | Low | Close | Volume |
Mar 29, 2024 | $0.163 | $0.167 | $0.159 | $0.164 | 6 488 177 |
Mar 28, 2024 | $0.171 | $0.173 | $0.160 | $0.163 | 4 572 132 |
Mar 27, 2024 | $0.167 | $0.173 | $0.165 | $0.171 | 10 256 908 |
Mar 26, 2024 | $0.158 | $0.169 | $0.158 | $0.168 | 3 024 994 |
Mar 25, 2024 | $0.154 | $0.159 | $0.151 | $0.158 | 7 714 693 |
Mar 24, 2024 | $0.155 | $0.159 | $0.150 | $0.157 | 1 752 008 |
Mar 23, 2024 | $0.157 | $0.163 | $0.149 | $0.155 | 5 585 779 |
Mar 22, 2024 | $0.155 | $0.159 | $0.151 | $0.157 | 2 271 074 |
Mar 21, 2024 | $0.140 | $0.156 | $0.132 | $0.155 | 6 686 971 |
Mar 20, 2024 | $0.157 | $0.159 | $0.135 | $0.147 | 5 335 193 |
Mar 19, 2024 | $0.167 | $0.169 | $0.153 | $0.157 | 11 139 928 |
Mar 18, 2024 | $0.160 | $0.169 | $0.152 | $0.169 | 3 034 573 |
Mar 17, 2024 | $0.179 | $0.182 | $0.155 | $0.160 | 8 534 464 |
Mar 16, 2024 | $0.192 | $0.196 | $0.161 | $0.175 | 10 480 224 |
Mar 15, 2024 | $0.196 | $0.199 | $0.179 | $0.192 | 20 370 304 |
Mar 14, 2024 | $0.199 | $0.203 | $0.188 | $0.194 | 5 732 814 |
Mar 13, 2024 | $0.200 | $0.202 | $0.182 | $0.199 | 14 290 571 |
Mar 12, 2024 | $0.193 | $0.210 | $0.178 | $0.200 | 11 621 675 |
Mar 11, 2024 | $0.188 | $0.199 | $0.183 | $0.193 | 25 038 150 |
Mar 10, 2024 | $0.173 | $0.183 | $0.172 | $0.179 | 6 310 160 |
Mar 09, 2024 | $0.170 | $0.186 | $0.158 | $0.173 | 14 381 521 |
Mar 08, 2024 | $0.163 | $0.172 | $0.159 | $0.169 | 4 939 116 |
Mar 07, 2024 | $0.150 | $0.163 | $0.144 | $0.163 | 11 383 343 |
Mar 06, 2024 | $0.169 | $0.178 | $0.125 | $0.143 | 10 832 612 |
Mar 05, 2024 | $0.167 | $0.175 | $0.160 | $0.169 | 23 784 226 |
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.