Swarms(SWARMS)Today
$0.01489
Swarms Price History
(SWARMS)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 | $0.013707 | $0.0154 | $0.01345 | $0.014842 | $5.231M |
2025-10-17 | $0.013588 | $0.01434 | $0.01329 | $0.013866 | $5.607M |
2025-10-16 | $0.013260 | $0.01532 | $0.01304 | $0.013453 | $7.959M |
2025-10-15 | $0.013047 | $0.01357 | $0.01265 | $0.013335 | $4.197M |
2025-10-14 | $0.013881 | $0.01432 | $0.01226 | $0.013094 | $4.460M |
2025-10-13 | $0.012733 | $0.01418 | $0.01298 | $0.01392 | $15,443.24 |
2025-10-12 | $0.013336 | $0.0136 | $0.01181 | $0.01288 | $16,060.10 |
2025-10-11 | $0.016723 | $0.01633 | $0.00687 | $0.01336 | $31,650.39 |
2025-10-10 | $0.016974 | $0.01795 | $0.01629 | $0.016584 | $4.699M |
2025-10-09 | $0.018155 | $0.01868 | $0.01677 | $0.016996 | $3.476M |
2025-10-08 | $0.018200 | $0.01842 | $0.01766 | $0.018164 | $4.218M |
2025-10-07 | $0.019014 | $0.01939 | $0.01799 | $0.018215 | $4.608M |
2025-10-06 | $0.018811 | $0.01909 | $0.01798 | $0.01904 | $12,930.89 |
2025-10-05 | $0.018382 | $0.01916 | $0.01828 | $0.018827 | $3.959M |
2025-10-04 | $0.018908 | $0.01954 | $0.01818 | $0.018272 | $4.380M |
2025-10-03 | $0.018613 | $0.01932 | $0.0184 | $0.019010 | $4.224M |
2025-10-02 | $0.018745 | $0.01906 | $0.01836 | $0.018634 | $3.298M |
2025-10-01 | $0.017127 | $0.01928 | $0.01712 | $0.018708 | $4.432M |
2025-09-30 | $0.018019 | $0.0183 | $0.01705 | $0.017198 | $3.495M |
2025-09-29 | $0.017992 | $0.01867 | $0.01775 | $0.018016 | $2.748M |
* Earliest data in range (UTC time)
** Latest data in range (UTC time)
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About SWARMS historical price data
The SWARMS 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 SWARMS 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 SWARMS price history data, its value surged to an all-time high of over $0.605474 in 2025-01-07. On the other hand, the lowest point in the SWARMS price trajectory (often referred to as the “SWARMS all-time low”) occurred in 2025-10-11. Anyone who purchased SWARMS during that period would currently enjoy an impressive profit of $0.597763.
By design, the total supply of SWARMS will reach 999M. As of now, the circulating supply of SWARMS is approximately 999M.
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.
SWARMS historical data examples
Here are some uses of SWARMS historical data in SWARMS trading
Technical analysis:
Traders use historical data to analyze trends and movements in the SWARMS 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 SWARMS 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 SWARMS market. By using LBank’s SWARMS historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for SWARMS. 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 SWARMS. They can also determine the volatility of SWARMS, 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 SWARMS trading bots:
In addition, users can choose to download SWARMS historical cryptocurrency OHLC (open, high, low, close) data to train their own SWARMS trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study SWARMS’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze SWARMS candlestick chart data
SWARMS 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 SWARMS historical data, when the SWARMS 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 SWARMS 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
Swarms(SWARMS)
