DataMind(DMIND)Today
$0.000083
DataMind Price History
(DMIND)Time period: 2024-10-17 ~ 2025-10-18
2024-10-17
2025-10-18
USD
Date | Open price* | Upper Price | Lower Price | Close price** | Vol |
|---|---|---|---|---|---|
2025-10-16 | -- | $0.000083 | $0.000082 | -- | -- |
2025-10-15 | -- | $0.000083 | $0.000082 | -- | -- |
2025-10-14 | -- | $0.000083 | $0.000081 | -- | -- |
2025-10-13 | -- | $0.000080 | $0.000080 | -- | -- |
2025-10-12 | -- | $0.000080 | $0.000080 | -- | -- |
2025-10-11 | $0.000087 | $0.000085 | $0.000076 | -- | -- |
2025-10-10 | -- | $0.000093 | $0.000087 | -- | -- |
2025-10-09 | -- | $0.000096 | $0.000096 | -- | -- |
2025-10-08 | -- | $0.000096 | $0.000096 | -- | -- |
2025-10-07 | -- | $0.000096 | $0.000096 | -- | -- |
2025-10-06 | $0.000096 | $0.000096 | $0.000095 | -- | -- |
2025-10-05 | -- | $0.000096 | $0.000096 | $0.000096 | $15.40199 |
2025-10-04 | -- | $0.000095 | $0.000094 | -- | -- |
2025-10-03 | -- | $0.000095 | $0.000094 | -- | -- |
2025-10-02 | -- | $0.000095 | $0.000094 | -- | -- |
2025-10-01 | -- | $0.000095 | $0.000094 | -- | -- |
2025-09-30 | -- | $0.000095 | $0.000094 | -- | -- |
2025-09-29 | -- | $0.000095 | $0.000094 | -- | -- |
2025-09-28 | -- | $0.000095 | $0.000094 | -- | -- |
2025-09-27 | -- | $0.000095 | $0.000094 | -- | -- |
* Earliest data in range (UTC time)
** Latest data in range (UTC time)
Where can you buy DMIND
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About DMIND historical price data
The DMIND 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 DMIND 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 DMIND price history data, its value surged to an all-time high of over $0.000913 in 2025-07-14. On the other hand, the lowest point in the DMIND price trajectory (often referred to as the “DMIND all-time low”) occurred in 2025-10-11. Anyone who purchased DMIND during that period would currently enjoy an impressive profit of $0.000837.
By design, the total supply of DMIND will reach 100M. As of now, the circulating supply of DMIND is approximately 100M.
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.
DMIND historical data examples
Here are some uses of DMIND historical data in DMIND trading
Technical analysis:
Traders use historical data to analyze trends and movements in the DMIND 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.
Predicting DMIND price based on historical data:
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 DMIND market. By using LBank’s DMIND historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for DMIND. These data can then be used to define and train price prediction models, helping users make informed trading decisions.
Risk management:
By obtaining historical data, traders can assess the risks of investing in DMIND. They can also determine the volatility of DMIND, allowing them to make sound investment decisions.
Portfolio management:
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.
Training DMIND trading bots:
In addition, users can choose to download DMIND historical cryptocurrency OHLC (open, high, low, close) data to train their own DMIND trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study DMIND’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze DMIND candlestick chart data
DMIND 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 DMIND historical data, when the DMIND 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 DMIND 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.
FAQ
On this day in history
2025-10-18
DataMind(DMIND)
