$0.0000002665
-0.0000000023 (-0.87%)
At Close: Aug 02, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0000002631 | $0.0000002727 | Sunday, 2nd Aug 2026 NFTUSD stock ended at $0.0000002665. This is 0.87% less than the trading day before Saturday, 1st Aug 2026. During the day the stock fluctuated 1.93% from a day low at $0.0000002654 to a day high of $0.0000002705. |
| 90 days | $0.0000002595 | $0.0000003291 | |
| 52 weeks | $0.0000002595 | $0.0000005061 |
Historical NFT USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 02, 2026 | $0.0000002687 | $0.0000002705 | $0.0000002654 | $0.0000002665 | 5 853 016 |
| Aug 01, 2026 | $0.000000270 | $0.0000002703 | $0.000000267 | $0.0000002689 | 4 790 783 |
| Jul 31, 2026 | $0.0000002677 | $0.0000002719 | $0.0000002653 | $0.0000002696 | 6 705 182 |
| Jul 30, 2026 | $0.0000002674 | $0.0000002705 | $0.000000265 | $0.0000002676 | 6 333 926 |
| Jul 29, 2026 | $0.0000002674 | $0.0000002698 | $0.0000002657 | $0.000000269 | 5 854 034 |
| Jul 28, 2026 | $0.0000002684 | $0.000000271 | $0.0000002654 | $0.0000002686 | 6 068 643 |
| Jul 27, 2026 | $0.0000002684 | $0.0000002716 | $0.0000002659 | $0.0000002690 | 6 882 280 |
| Jul 26, 2026 | $0.0000002683 | $0.0000002716 | $0.0000002656 | $0.0000002669 | 5 469 080 |
| Jul 25, 2026 | $0.0000002681 | $0.000000271 | $0.0000002662 | $0.0000002681 | 4 907 542 |
| Jul 24, 2026 | $0.0000002697 | $0.0000002720 | $0.0000002655 | $0.0000002679 | 6 701 715 |
| Jul 23, 2026 | $0.0000002699 | $0.0000002720 | $0.0000002651 | $0.0000002696 | 5 912 779 |
| Jul 22, 2026 | $0.0000002702 | $0.0000002727 | $0.0000002654 | $0.0000002700 | 6 069 567 |
| Jul 21, 2026 | $0.0000002688 | $0.0000002708 | $0.000000265 | $0.0000002677 | 9 704 155 |
| Jul 20, 2026 | $0.0000002688 | $0.0000002694 | $0.0000002670 | $0.0000002673 | 7 188 967 |
| Jul 19, 2026 | $0.0000002654 | $0.0000002693 | $0.0000002654 | $0.0000002687 | 5 384 073 |
| Jul 18, 2026 | $0.0000002672 | $0.0000002683 | $0.0000002649 | $0.000000266 | 4 949 110 |
| Jul 17, 2026 | $0.0000002660 | $0.0000002680 | $0.0000002650 | $0.0000002667 | 7 663 520 |
| Jul 16, 2026 | $0.0000002660 | $0.0000002663 | $0.0000002658 | $0.0000002658 | 6 591 202 |
| Jul 15, 2026 | $0.0000002683 | $0.0000002694 | $0.0000002677 | $0.0000002690 | 6 614 010 |
| Jul 14, 2026 | $0.0000002698 | $0.000000270 | $0.00000027 | $0.0000002697 | 7 111 898 |
| Jul 13, 2026 | $0.0000002676 | $0.0000002701 | $0.0000002658 | $0.0000002695 | 8 844 115 |
| Jul 12, 2026 | $0.0000002680 | $0.000000269 | $0.0000002665 | $0.0000002680 | 7 507 797 |
| Jul 11, 2026 | $0.0000002667 | $0.0000002692 | $0.0000002655 | $0.0000002692 | 6 732 487 |
| Jul 10, 2026 | $0.0000002680 | $0.0000002692 | $0.0000002665 | $0.0000002666 | 7 524 963 |
| Jul 09, 2026 | $0.0000002680 | $0.0000002683 | $0.0000002675 | $0.0000002675 | 8 144 781 |
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 NFTUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the NFTUSD 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 NFTUSD 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.
Sign In
Buy NFTUSD