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Trump Wars Price History
(TRUMPWARS)Date | Open price* | Upper Price | Lower Price | Close price** | Vol |
|---|---|---|---|---|---|
No data | |||||
Where can you buy TRUMPWARS
About TRUMPWARS historical price data
The TRUMPWARS 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 TRUMPWARS 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 TRUMPWARS price history data, its value surged to an all-time high of over $0.000382 in 2026-11-05. On the other hand, the lowest point in the TRUMPWARS price trajectory (often referred to as the “TRUMPWARS all-time low”) occurred in 2026-11-04. Anyone who purchased TRUMPWARS during that period would currently enjoy an impressive profit of $0.000232.
By design, the total supply of TRUMPWARS will reach 975,055,690.04. As of now, the circulating supply of TRUMPWARS is approximately 975,055,690.04.
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.
TRUMPWARS historical data examples
Here are some uses of TRUMPWARS historical data in TRUMPWARS trading
Traders use historical data to analyze trends and movements in the TRUMPWARS 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 TRUMPWARS market. By using LBank’s TRUMPWARS historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for TRUMPWARS. 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 TRUMPWARS. They can also determine the volatility of TRUMPWARS, 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 TRUMPWARS historical cryptocurrency OHLC (open, high, low, close) data to train their own TRUMPWARS trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study TRUMPWARS’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze TRUMPWARS candlestick chart data
TRUMPWARS 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 TRUMPWARS historical data, when the TRUMPWARS 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 TRUMPWARS 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.