CRYPTO:SANDUSD
The Sandbox / Us Dollar Cryptocurrency Price (Quote)
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$0.0606
-0.0012 (-1.94%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0604 | $0.0850 | Wednesday, 3rd Jun 2026 SANDUSD stock ended at $0.0606. This is 1.94% less than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 2.65% from a day low at $0.0604 to a day high of $0.0620. |
| 90 days | $0.0604 | $0.0912 | |
| 52 weeks | $0.0604 | $0.355 |
Historical The Sandbox / US Dollar prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $0.0617 | $0.0620 | $0.0604 | $0.0606 | 5 160 |
| Jun 02, 2026 | $0.0687 | $0.0688 | $0.0606 | $0.0618 | 32 797 726 |
| Jun 01, 2026 | $0.0687 | $0.0688 | $0.0686 | $0.0687 | 16 427 123 |
| May 31, 2026 | $0.0693 | $0.0705 | $0.0682 | $0.0698 | 23 637 021 |
| May 30, 2026 | $0.0686 | $0.0714 | $0.0684 | $0.0692 | 28 374 450 |
| May 29, 2026 | $0.0679 | $0.0696 | $0.0663 | $0.0684 | 33 843 950 |
| May 28, 2026 | $0.0692 | $0.0697 | $0.0656 | $0.0676 | 41 599 138 |
| May 27, 2026 | $0.0703 | $0.0713 | $0.0686 | $0.0692 | 32 756 437 |
| May 26, 2026 | $0.0715 | $0.0737 | $0.0700 | $0.0702 | 35 317 252 |
| May 25, 2026 | $0.0704 | $0.0726 | $0.0702 | $0.0715 | 26 811 880 |
| May 24, 2026 | $0.0718 | $0.0718 | $0.0689 | $0.0703 | 18 937 719 |
| May 23, 2026 | $0.0699 | $0.0731 | $0.0677 | $0.0717 | 27 080 828 |
| May 22, 2026 | $0.0729 | $0.0740 | $0.0697 | $0.0699 | 28 325 139 |
| May 21, 2026 | $0.0720 | $0.0738 | $0.0713 | $0.0730 | 23 193 670 |
| May 20, 2026 | $0.0703 | $0.0728 | $0.0701 | $0.0719 | 24 319 022 |
| May 19, 2026 | $0.0726 | $0.0729 | $0.0695 | $0.0703 | 27 909 083 |
| May 18, 2026 | $0.0707 | $0.0727 | $0.0698 | $0.0726 | 34 864 468 |
| May 17, 2026 | $0.0728 | $0.0737 | $0.0687 | $0.0707 | 32 565 250 |
| May 16, 2026 | $0.0745 | $0.0748 | $0.0716 | $0.0724 | 30 758 046 |
| May 15, 2026 | $0.0790 | $0.0796 | $0.0739 | $0.0746 | 40 636 732 |
| May 14, 2026 | $0.0774 | $0.0809 | $0.0764 | $0.0795 | 34 060 444 |
| May 13, 2026 | $0.0794 | $0.0821 | $0.0764 | $0.0776 | 46 577 860 |
| May 12, 2026 | $0.0817 | $0.0817 | $0.0783 | $0.0796 | 37 764 596 |
| May 11, 2026 | $0.0816 | $0.0818 | $0.0813 | $0.0816 | 38 376 044 |
| May 10, 2026 | $0.0798 | $0.0850 | $0.0787 | $0.0822 | 47 297 680 |
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 SANDUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the SANDUSD 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 SANDUSD 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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