01111010011110000110001001110100(01111010011110000110001001110100)Today
$0.003256
01111010011110000110001001110100 Price History
(01111010011110000110001001110100)Time period: 2024-10-18 ~ 2025-10-19
2024-10-18
2025-10-19
USD
Date | Open price* | Upper Price | Lower Price | Close price** | Vol |
|---|---|---|---|---|---|
2025-10-18 | $0.002969 | $0.003589 | $0.002992 | $0.003492 | $97,090.04 |
2025-10-17 | $0.002407 | $0.003828 | $0.002123 | $0.002969 | $167.242K |
2025-10-16 | $0.003530 | $0.003409 | $0.002307 | $0.002407 | $150.379K |
2025-10-15 | $0.002706 | $0.004096 | $0.002713 | $0.003363 | $230.126K |
2025-10-14 | $0.003007 | $0.003505 | $0.002621 | $0.002889 | $96,518.83 |
2025-10-13 | $0.003205 | $0.003533 | $0.002794 | $0.003025 | $293.961K |
2025-10-12 | $0.002494 | $0.003596 | $0.002281 | $0.003205 | $277.689K |
2025-10-11 | $0.004089 | $0.005128 | $0.002356 | $0.002494 | $470.183K |
2025-10-10 | $0.004721 | $0.006560 | $0.004089 | $0.004205 | $989.363K |
2025-10-09 | $0.003855 | $0.004967 | $0.002416 | $0.004721 | $308.754K |
2025-10-08 | $0.004703 | $0.005355 | $0.003803 | $0.003855 | $258.471K |
2025-10-07 | $0.002799 | $0.004892 | $0.002442 | $0.004742 | $420.396K |
2025-10-06 | $0.002607 | $0.002927 | $0.002151 | $0.002998 | $230.287K |
2025-10-05 | $0.002800 | $0.003498 | $0.002456 | $0.002607 | $137.586K |
2025-10-04 | $0.002657 | $0.003048 | $0.002222 | $0.003004 | $229.004K |
2025-10-03 | $0.002013 | $0.003998 | $0.001944 | $0.002656 | $302.766K |
2025-10-02 | $0.001993 | $0.002328 | $0.001868 | $0.002013 | $126.068K |
2025-10-01 | $0.001040 | $0.002145 | $0.000827 | $0.001973 | $132.041K |
2025-09-30 | $0.001269 | $0.001353 | $0.000965 | $0.001040 | $18,521.56 |
2025-09-29 | $0.001181 | $0.001384 | $0.001210 | $0.001269 | $6,221.298 |
* Earliest data in range (UTC time)
** Latest data in range (UTC time)
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About 01111010011110000110001001110100 historical price data
The 01111010011110000110001001110100 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 01111010011110000110001001110100 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 01111010011110000110001001110100 price history data, its value surged to an all-time high of over $0.017555 in 2025-08-11. On the other hand, the lowest point in the 01111010011110000110001001110100 price trajectory (often referred to as the “01111010011110000110001001110100 all-time low”) occurred in 2025-10-01. Anyone who purchased 01111010011110000110001001110100 during that period would currently enjoy an impressive profit of $0.016727.
By design, the total supply of 01111010011110000110001001110100 will reach 1,000M. As of now, the circulating supply of 01111010011110000110001001110100 is approximately 1,000M.
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.
01111010011110000110001001110100 historical data examples
Here are some uses of 01111010011110000110001001110100 historical data in 01111010011110000110001001110100 trading
Technical analysis:
Traders use historical data to analyze trends and movements in the 01111010011110000110001001110100 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.
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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 01111010011110000110001001110100 market. By using LBank’s 01111010011110000110001001110100 historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for 01111010011110000110001001110100. These data can then be used to define and train price prediction models, helping users make informed trading decisions.
Risk management:
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Portfolio management:
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Training 01111010011110000110001001110100 trading bots:
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How to analyze 01111010011110000110001001110100 candlestick chart data
01111010011110000110001001110100 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 01111010011110000110001001110100 historical data, when the 01111010011110000110001001110100 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 01111010011110000110001001110100 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
2025-10-19
01111010011110000110001001110100(01111010011110000110001001110100)
