Cost Hot Dog Price History

(COST)

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
2025-10-17	$0.000546	$0.000549	$0.000479	$0.000496	$8,898.707
2025-10-16	$0.000559	$0.000564	$0.000539	$0.000542	$814.5044
2025-10-15	$0.000579	$0.000594	$0.000559	$0.000562	$1,487.561
2025-10-14	$0.000586	$0.000715	$0.000557	$0.000583	$2,931.211
2025-10-13	$0.000567	$0.000604	$0.000571	$0.000585	$4,079.307
2025-10-12	$0.000544	$0.000578	$0.000519	$0.000567	$850.6297
2025-10-11	$0.000727	$0.000728	$0.000502	$0.000547	$6,758.797
2025-10-10	$0.000683	$0.000740	$0.000608	$0.000610	$805.6547
2025-10-09	$0.000620	$0.000705	$0.000619	$0.000685	$4,869.159
2025-10-08	$0.000695	$0.000747	$0.000606	$0.000620	$1,373.158
2025-10-07	$0.000660	$0.000709	$0.000636	$0.000696	$3,235.201
2025-10-06	$0.000723	$0.000727	$0.000654	$0.000660	$10,905.80
2025-10-05	$0.000720	$0.000758	$0.000721	$0.000722	$3,547.891
2025-10-04	$0.000743	$0.000743	$0.000713	$0.000720	$3,545.017
2025-10-03	$0.000739	$0.000752	$0.000724	$0.000741	$3,785.103
2025-10-02	$0.000708	$0.000744	$0.000683	$0.000742	$3,715.191
2025-10-01	$0.000649	$0.000715	$0.000647	$0.000707	$6,319.120
2025-09-30	$0.000649	$0.000733	$0.000640	$0.000649	$2,476.159
2025-09-29	$0.000629	$0.000727	$0.000627	$0.000645	$1,268.875
2025-09-28	$0.000695	$0.000727	$0.000612	$0.000629	$1,387.018

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About COST historical price data

The COST 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 COST 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 COST price history data, its value surged to an all-time high of over $0.061631 in 2024-04-15. On the other hand, the lowest point in the COST price trajectory (often referred to as the “COST all-time low”) occurred in 2025-03-11. Anyone who purchased COST during that period would currently enjoy an impressive profit of $0.061184.

By design, the total supply of COST will reach 949M. As of now, the circulating supply of COST is approximately 949M.

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.

COST historical data examples

Here are some uses of COST historical data in COST trading

Technical analysis:

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

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

How to analyze COST candlestick chart data

COST 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 COST historical data, when the COST 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 COST 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.