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Swarm Markets

Swarm Markets Price History

(SMT)
Time period2024-10-18 ~ 2025-10-19
2024-10-18
2025-10-19
USD
Date
Open price*
Upper Price
Lower Price
Close price**
Vol
2025-10-18
$0.054064
$0.062778
$0.054305
$0.062131
$102.981K
2025-10-17
$0.066085
$0.064645
$0.043331
$0.054380
$146.355K
2025-10-16
$0.063396
$0.068952
$0.0621
$0.065851
$103.044K
2025-10-15
$0.064623
$0.071909
$0.063225
$0.063424
$107.213K
2025-10-14
$0.077323
$0.07766
$0.059953
$0.064929
$149.568K
2025-10-13
$0.074727
$0.078584
$0.071387
$0.077323
$140.399K
2025-10-12
$0.076796
$0.07636
$0.06779
$0.074727
$130.220K
2025-10-11
$0.086329
$0.086587
$0.074659
$0.076796
$151.458K
2025-10-10
$0.089249
$0.090797
$0.08549
$0.086297
$108.381K
2025-10-09
$0.092958
$0.096649
$0.088685
$0.089245
$110.095K
2025-10-08
$0.090934
$0.095343
$0.089203
$0.092955
$106.649K
2025-10-07
$0.100555
$0.108149
$0.089067
$0.090951
$150.823K
2025-10-06
$0.098739
$0.101025
$0.096741
$0.100555
$98,217.48
2025-10-05
$0.089228
$0.099433
$0.089469
$0.098751
$105.062K
2025-10-04
$0.089839
$0.092715
$0.087662
$0.089186
$100.904K
2025-10-03
$0.092645
$0.096815
$0.08631
$0.091453
$104.858K
2025-10-02
$0.087464
$0.095467
$0.084811
$0.092815
$107.427K
2025-10-01
$0.087838
$0.092902
$0.079825
$0.085664
$130.755K
2025-09-30
$0.090070
$0.090092
$0.08655
$0.087650
$91,056.95
2025-09-29
$0.085341
$0.094245
$0.084535
$0.090203
$96,065.61
* Earliest data in range (UTC time)
** Latest data in range (UTC time)

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About SMT historical price data

The SMT 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 SMT 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 SMT price history data, its value surged to an all-time high of over $1.32 in 2024-03-26. On the other hand, the lowest point in the SMT price trajectory (often referred to as the “SMT all-time low”) occurred in 2021-10-18. Anyone who purchased SMT during that period would currently enjoy an impressive profit of $1.32.
By design, the total supply of SMT will reach 151M. As of now, the circulating supply of SMT is approximately 88M.
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.

SMT historical data examples

Here are some uses of SMT historical data in SMT trading
Technical analysis:
Traders use historical data to analyze trends and movements in the SMT 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 SMT 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 SMT market. By using LBank’s SMT historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for SMT. 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 SMT. They can also determine the volatility of SMT, 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 SMT trading bots:
In addition, users can choose to download SMT historical cryptocurrency OHLC (open, high, low, close) data to train their own SMT trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study SMT’s historical data, gain valuable insights, and potentially improve their trading strategies.

How to analyze SMT candlestick chart data

How to analyze SMT candlestick chart data
SMT 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 SMT historical data, when the SMT 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 SMT 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
Swarm MarketsSwarm Markets(SMT)
Today
$0.061537
1 years ago
$0.218631
2 years ago
$0.065405
3 years ago
$0

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