Dogwifscarf

Dogwifscarf Price History

($SCARF)
Time period2025-04-25 ~ 2026-04-26
2025-04-25
2026-04-26
USD-$
Date
Open price*
Upper Price
Lower Price
Close price**
Vol
2026-04-25
$0.000008
$0.000008
$0.000008
--
--
2026-04-24
$0.000008
$0.000009
$0.000008
$0.000008
23.43
2026-04-23
$0.000010
$0.000011
$0.000008
$0.000008
1,521.48
2026-04-22
$0.000009
$0.000010
$0.000008
$0.000010
601.9
2026-04-21
$0.000009
$0.000009
$0.000009
$0.000009
67.93
2026-04-20
$0.000009
$0.000010
$0.000008
$0.000009
1,501.52
2026-04-19
--
$0.000009
$0.000008
$0.000009
198.9
2026-04-18
--
$0.000009
$0.000009
--
--
2026-04-17
--
$0.000009
$0.000009
--
--
2026-04-16
--
$0.000009
$0.000009
--
--
2026-04-15
--
$0.000009
$0.000009
--
--
2026-04-14
--
$0.000009
$0.000008
--
--
2026-04-13
$0.000008
$0.000008
$0.000008
$0.000008
70.68
2026-04-12
$0.000009
$0.000009
$0.000008
$0.000008
122.54
2026-04-11
--
$0.000010
$0.000009
$0.000009
3,384.1
2026-04-10
--
$0.000008
$0.000008
--
--
2026-04-09
--
$0.000008
$0.000008
--
--
2026-04-08
--
$0.000008
$0.000008
--
--
2026-04-07
--
$0.000008
$0.000008
--
--
2026-04-06
--
$0.000008
$0.000008
--
--
* Earliest data in range (UTC time)
** Latest data in range (UTC time)

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About $SCARF historical price data

The $SCARF 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 $SCARF 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 $SCARF price history data, its value surged to an all-time high of over $0.000403 in 1970-01-21. On the other hand, the lowest point in the $SCARF price trajectory (often referred to as the “$SCARF all-time low”) occurred in 1970-01-21. Anyone who purchased $SCARF during that period would currently enjoy an impressive profit of $0.000395.

By design, the total supply of $SCARF will reach 999,721,278. As of now, the circulating supply of $SCARF is approximately 999,721,278.

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.

$SCARF historical data examples

Here are some uses of $SCARF historical data in $SCARF trading

Technical analysis:

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

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

How to analyze $SCARF candlestick chart data

How to analyze $SCARF candlestick chart data

$SCARF 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 $SCARF historical data, when the $SCARF 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 $SCARF 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.

$SCARF 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.