Smolcoin [OLD] Price History

(SMOL)

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
2025-10-17	$0.000001	$0.000001	$0.000000	$0.000001	$2,939.940
2025-10-16	$0.000001	$0.000001	$0.000001	$0.000001	$856.2521
2025-10-15	$0.000001	$0.000001	$0.000001	$0.000001	$1,604.156
2025-10-14	$0.000001	$0.000001	$0.000001	$0.000001	$2,677.294
2025-10-13	$0.000001	$0.000001	$0.000001	$0.000001	$4,307.056
2025-10-12	$0.000001	$0.000001	$0.000001	$0.000001	$555.5544
2025-10-11	--	$0.000001	$0.000001	--	--
2025-10-10	$0.000001	$0.000001	$0.000001	$0.000001	$1,119.427
2025-10-09	$0.000001	$0.000001	$0.000001	$0.000001	$533.8437
2025-10-08	$0.000001	$0.000001	$0.000001	$0.000001	$312.4022
2025-10-07	$0.000001	$0.000001	$0.000001	$0.000001	$715.6259
2025-10-06	--	$0.000001	$0.000001	--	--
2025-10-05	$0.000001	$0.000001	$0.000001	$0.000001	$1,625.845
2025-10-04	$0.000001	$0.000001	$0.000001	$0.000001	$99.58810
2025-10-03	$0.000001	$0.000001	$0.000001	$0.000001	$187.1463
2025-10-02	$0.000001	$0.000001	$0.000001	$0.000001	$2,844.959
2025-10-01	$0.000001	$0.000001	$0.000001	$0.000001	$2,521.750
2025-09-30	$0.000001	$0.000001	$0.000001	$0.000001	$2,046.409
2025-09-29	$0.000001	$0.000001	$0.000001	$0.000001	$680.6920
2025-09-28	$0.000001	$0.000001	$0.000001	$0.000001	$140.3335

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About SMOL historical price data

The SMOL 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 SMOL 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 SMOL price history data, its value surged to an all-time high of over $0.000028 in 2025-01-02. On the other hand, the lowest point in the SMOL price trajectory (often referred to as the “SMOL all-time low”) occurred in 2025-05-19. Anyone who purchased SMOL during that period would currently enjoy an impressive profit of $0.000028.

By design, the total supply of SMOL will reach 1,000,000M. As of now, the circulating supply of SMOL is approximately --.

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.

SMOL historical data examples

Here are some uses of SMOL historical data in SMOL trading

Technical analysis:

Traders use historical data to analyze trends and movements in the SMOL 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 SMOL 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 SMOL market. By using LBank’s SMOL historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for SMOL. 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 SMOL. They can also determine the volatility of SMOL, 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 SMOL trading bots:

In addition, users can choose to download SMOL historical cryptocurrency OHLC (open, high, low, close) data to train their own SMOL trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study SMOL’s historical data, gain valuable insights, and potentially improve their trading strategies.

How to analyze SMOL candlestick chart data

SMOL 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 SMOL historical data, when the SMOL 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 SMOL 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.