CRYPTO:ALGOUSD
Algorand / Us Dollar Cryptocurrency Price (Quote)
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$0.0835
-0.0003 (-0.350%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0816 | $0.101 | Monday, 13th Jul 2026 ALGOUSD stock ended at $0.0835. This is 0.350% less than the trading day before Sunday, 12th Jul 2026. During the day the stock fluctuated 2.82% from a day low at $0.0821 to a day high of $0.0844. |
| 90 days | $0.0816 | $0.140 | |
| 52 weeks | $0.0794 | $0.336 |
Historical Algorand / US Dollar prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $0.0835 | $0.0844 | $0.0821 | $0.0835 | 20 866 413 |
| Jul 12, 2026 | $0.0843 | $0.0847 | $0.0830 | $0.0838 | 15 145 284 |
| Jul 11, 2026 | $0.0856 | $0.0873 | $0.0839 | $0.0840 | 17 954 344 |
| Jul 10, 2026 | $0.0856 | $0.0859 | $0.0855 | $0.0859 | 24 683 980 |
| Jul 09, 2026 | $0.0847 | $0.0847 | $0.0836 | $0.0839 | 23 578 258 |
| Jul 08, 2026 | $0.0860 | $0.0870 | $0.0837 | $0.0845 | 28 958 102 |
| Jul 07, 2026 | $0.0860 | $0.0872 | $0.0860 | $0.0869 | 23 285 996 |
| Jul 06, 2026 | $0.0909 | $0.0909 | $0.0867 | $0.0882 | 25 847 306 |
| Jul 05, 2026 | $0.0909 | $0.0909 | $0.0903 | $0.0905 | 21 277 060 |
| Jul 04, 2026 | $0.0906 | $0.0906 | $0.0901 | $0.0904 | 25 420 124 |
| Jul 03, 2026 | $0.0893 | $0.0897 | $0.0892 | $0.0896 | 26 506 404 |
| Jul 02, 2026 | $0.0865 | $0.0876 | $0.0865 | $0.0873 | 31 207 664 |
| Jul 01, 2026 | $0.0828 | $0.0869 | $0.0818 | $0.0846 | 30 406 266 |
| Jun 30, 2026 | $0.0855 | $0.0864 | $0.0816 | $0.0824 | 31 741 222 |
| Jun 29, 2026 | $0.0876 | $0.0899 | $0.0847 | $0.0853 | 34 745 176 |
| Jun 28, 2026 | $0.0876 | $0.0885 | $0.0869 | $0.0882 | 26 094 960 |
| Jun 27, 2026 | $0.0858 | $0.0868 | $0.0858 | $0.0866 | 30 635 294 |
| Jun 26, 2026 | $0.0829 | $0.0835 | $0.0827 | $0.0833 | 38 330 840 |
| Jun 25, 2026 | $0.0849 | $0.0850 | $0.0847 | $0.0847 | 36 651 836 |
| Jun 24, 2026 | $0.0945 | $0.0963 | $0.0847 | $0.0897 | 51 640 104 |
| Jun 23, 2026 | $0.0895 | $0.0964 | $0.0883 | $0.0958 | 60 647 104 |
| Jun 22, 2026 | $0.0893 | $0.0930 | $0.0888 | $0.0901 | 29 768 406 |
| Jun 21, 2026 | $0.0893 | $0.0902 | $0.0893 | $0.0901 | 23 313 758 |
| Jun 20, 2026 | $0.0936 | $0.0944 | $0.0936 | $0.0944 | 21 816 478 |
| Jun 19, 2026 | $0.0954 | $0.0956 | $0.0949 | $0.0951 | 32 753 600 |
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 ALGOUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the ALGOUSD 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 ALGOUSD 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.
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