Unstable FOMO Price History
(USDUF)Date | Open price* | Upper Price | Lower Price | Close price** | Vol |
|---|---|---|---|---|---|
2026-08-19 | -- | $0.000003 | $0.000002 | -- | -- |
2026-08-18 | -- | $0.000002 | $0.000002 | -- | -- |
Where can you buy USDUF
About USDUF historical price data
The USDUF price history tracker allows cryptocurrency investors to conveniently monitor the performance of their investments. You can easily view the opening, highest, and closing prices of USDUF over time, as well as the trading volume. In addition, you can instantly check the daily percentage change to easily identify days with higher volatility.
According to our USDUF price history data, its value surged to an all-time high of over $0.000688 in 1970-01-22. On the other hand, the lowest point in the USDUF price trajectory (often referred to as the “USDUF all-time low”) occurred in 1970-01-22. Anyone who purchased USDUF during that period would currently enjoy an impressive profit of $0.000686.
By design, the total supply of USDUF will reach 975,388,001.64. As of now, the circulating supply of USDUF is approximately 975,388,001.64.
All prices shown on this page come from trusted data provider LBank. When reviewing your investments, it is recommended not to rely on a single data source, as values may differ between providers.
Our historical Bitcoin price dataset includes 1-minute, 1-day, 1-week, and 1-month data (open/high/low/close/volume). These datasets have been rigorously tested to ensure consistency, integrity, and accuracy. The design is specifically for trading simulations and backtesting, available for free download and updated in real time.
USDUF historical data examples
Here are some uses of USDUF historical data in USDUF trading
Traders use historical data to analyze trends and movements in the USDUF market. They use charts and other visual tools to identify trends and determine when to enter or exit the market. One way to gain an advantage in this dynamic market is to visualize and analyze historical market data. To achieve this, historical data can be stored in GridDB and analyzed using Python scripts with various libraries, such as Matplotlib, Pandas, Numpy, and Scipy for data visualization.
Historical data can also be used to predict future market trends. By analyzing past market behavior, traders can identify recurring patterns and make informed predictions about the direction of the USDUF market. By using LBank’s USDUF historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for USDUF. These data can then be used to define and train price prediction models, helping users make informed trading decisions.
By obtaining historical data, traders can assess the risks of investing in USDUF. They can also determine the volatility of USDUF, allowing them to make sound investment decisions.
Historical data is also useful in portfolio management. By tracking investments over the long term, traders can identify underperforming assets and adjust portfolios to maximize returns.
In addition, users can choose to download USDUF historical cryptocurrency OHLC (open, high, low, close) data to train their own USDUF trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study USDUF’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze USDUF candlestick chart data

USDUF candlestick charts display time on the horizontal axis and price data on the vertical axis, similar to line and bar charts. A candlestick may have two different colors: green or red. A green candle indicates a price increase during the considered period, while a red candle indicates a price decrease.
The simple structure of candlestick charts can provide users with a wealth of information. For example, technical analysis may use candlestick chart data to identify potential trend reversals.
According to USDUF historical data, when the USDUF market shows bearish or bullish trends, conservative investors may choose to use capital-protected products such as Flexible and Locked to capture the trend at that time.
When USDUF is in a sideways trend, using Open Futures and selecting a bullish product to take advantage of a slight upward trend, or choosing a bearish product to profit from a mild downward trend, may lead to better performance.