Snowtomb

Snowtomb Price History

(STOMB)
Time period2025-04-25 ~ 2026-04-26
2025-04-25
2026-04-26
USD-$
Date
Open price*
Upper Price
Lower Price
Close price**
Vol
2026-04-25
--
$0.0963
$0.0963
--
--
2026-04-24
--
$0.0963
$0.0963
--
--
2026-04-23
$0.0971
$0.0974
$0.0940
--
--
2026-04-22
--
$0.0974
$0.0935
$0.0971
2.56
2026-04-21
--
$0.0963
$0.0947
--
--
2026-04-20
--
$0.0946
$0.0919
--
--
2026-04-19
$0.0961
$0.0965
$0.0940
$0.0943
2.07
2026-04-18
--
$0.1052
$0.0957
--
--
2026-04-17
--
$0.1047
$0.0991
$0.1038
193.35
2026-04-16
$0.0909
$0.0935
$0.0909
--
--
2026-04-15
$0.0896
$0.0916
$0.0885
$0.0909
45.39
2026-04-14
$0.0870
$0.0911
$0.0849
$0.0896
142.1
2026-04-13
$0.0798
$0.0879
$0.0799
$0.0870
128.96
2026-04-12
$0.0959
$0.0972
$0.0797
$0.0797
398.55
2026-04-11
$0.0951
$0.0965
$0.0927
$0.0959
60.3
2026-04-10
$0.0886
$0.0959
$0.0875
$0.0951
314.98
2026-04-09
$0.0896
$0.0901
$0.0856
$0.0886
43.26
2026-04-08
$0.0560
$0.0916
$0.0558
$0.0896
854.96
2026-04-07
$0.0597
$0.0597
$0.0541
$0.0560
47.13
2026-04-06
$0.0558
$0.0602
$0.0554
$0.0597
19.32
* Earliest data in range (UTC time)
** Latest data in range (UTC time)

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About STOMB historical price data

The STOMB 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 STOMB 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 STOMB price history data, its value surged to an all-time high of over $11.10 in 1970-01-20. On the other hand, the lowest point in the STOMB price trajectory (often referred to as the “STOMB all-time low”) occurred in 1970-01-21. Anyone who purchased STOMB during that period would currently enjoy an impressive profit of $11.06.

By design, the total supply of STOMB will reach 242,179. As of now, the circulating supply of STOMB 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.

STOMB historical data examples

Here are some uses of STOMB historical data in STOMB trading

Technical analysis:

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

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

How to analyze STOMB candlestick chart data

How to analyze STOMB candlestick chart data

STOMB 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 STOMB historical data, when the STOMB 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 STOMB 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.

STOMB FAQ

Historical data refers to past information related to cryptocurrencies such as Bitcoin and Ethereum. These data include price, trading volume, market capitalization, and various other indicators. The significance of cryptocurrency historical data lies in its multiple applications in crypto trading. First, it allows traders and investors to fully understand the past performance of the crypto market and make informed choices.
There are several ways to obtain historical cryptocurrency prices, but some options have drawbacks. For example, searching for the required crypto code on platforms like Google Finance or Yahoo Finance may not allow data downloads. In addition, using web scraping may lead to potential legal risks and unreliable data sources. To ensure accuracy and reliability, the most recommended method is to directly download data from reputable crypto exchanges such as LBank, Binance, or CoinMarketCap. This allows you to download Excel spreadsheets and import them into later quantitative analysis. At the same time, reliable historical crypto price data sources are key to ensuring correct analysis.
In the second half of 2023, we realized that users needed a centralized platform for crypto research. As an institution long known for reliable data, we have provided users with free access to historical cryptocurrency data for an extended period. Therefore, we have become the preferred platform for users seeking comprehensive and accurate crypto market information. By downloading historical data provided by LBank, you not only gain access to rich information but also benefit from our expertise in tracking and analyzing crypto market risks. These data can serve as a valuable starting point for your own personal research or analysis. Please feel free to use the historical data we provide to enhance your comprehensive understanding of the crypto market.