SafeMoon Inu Price History

(SMI)

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	--	$0.000000	$0.000000	--	--
2025-10-17	--	$0.000000	$0.000000	--	--
2025-10-16	$0.000000	$0.000000	$0.000000	$0.000000	$326.4355
2025-10-15	--	$0.000000	$0.000000	--	--
2025-10-14	$0.000000	$0.000000	$0.000000	--	--
2025-10-13	$0.000000	$0.000000	$0.000000	--	--
2025-10-12	--	$0.000000	$0.000000	$0.000000	$110.7360
2025-10-11	--	$0.000000	$0.000000	--	--
2025-10-10	$0.000000	$0.000000	$0.000000	$0.000000	$11.50847
2025-10-09	$0.000000	$0.000000	$0.000000	$0.000000	$59.87575
2025-10-08	$0.000000	$0.000000	$0.000000	$0.000000	$42.56726
2025-10-07	$0.000000	$0.000000	$0.000000	$0.000000	$2,255.231
2025-10-06	$0.000000	$0.000000	$0.000000	$0.000000	$197.9184
2025-10-05	$0.000000	$0.000000	$0.000000	$0.000000	$131.2664
2025-10-04	$0.000000	$0.000000	$0.000000	$0.000000	$137.0641
2025-10-03	$0.000000	$0.000000	$0.000000	$0.000000	$9.160812
2025-10-02	$0.000000	$0.000000	$0.000000	$0.000000	$18.40482
2025-10-01	--	$0.000000	$0.000000	--	--
2025-09-30	--	$0.000000	$0.000000	--	--
2025-09-29	$0.000000	$0.000000	$0.000000	$0.000000	$114.0896

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About SMI historical price data

The SMI 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 SMI 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 SMI price history data, its value surged to an all-time high of over $0.000118 in 2021-10-30. On the other hand, the lowest point in the SMI price trajectory (often referred to as the “SMI all-time low”) occurred in 2025-04-08. Anyone who purchased SMI during that period would currently enjoy an impressive profit of $0.000118.

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

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.

SMI historical data examples

Here are some uses of SMI historical data in SMI trading

Technical analysis:

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

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

How to analyze SMI candlestick chart data

SMI 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 SMI historical data, when the SMI 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 SMI 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.