Colombian Peso(WCOP)Today
$0.000268
Colombian Peso Price History
(WCOP)Time period: 2024-12-02 ~ 2025-12-03
2024-12-02
2025-12-03
USD
Date | Open price* | Upper Price | Lower Price | Close price** | Vol |
|---|---|---|---|---|---|
2025-12-02 | -- | $0.000268 | $0.000263 | -- | -- |
2025-12-01 | $0.000265 | $0.000265 | $0.000261 | $0.000263 | $1.028920 |
2025-11-30 | -- | $0.000265 | $0.000263 | -- | -- |
2025-11-29 | -- | -- | -- | -- | -- |
* Earliest data in range (UTC time)
** Latest data in range (UTC time)
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About WCOP historical price data
The WCOP 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 WCOP 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 WCOP price history data, its value surged to an all-time high of over $0.000268 in 2025-12-02. On the other hand, the lowest point in the WCOP price trajectory (often referred to as the “WCOP all-time low”) occurred in 2025-12-01. Anyone who purchased WCOP during that period would currently enjoy an impressive profit of $0.000007.
By design, the total supply of WCOP will reach 97M. As of now, the circulating supply of WCOP is approximately 97M.
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.
WCOP historical data examples
Here are some uses of WCOP historical data in WCOP trading
Technical analysis:
Traders use historical data to analyze trends and movements in the WCOP 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 WCOP 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 WCOP market. By using LBank’s WCOP historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for WCOP. 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 WCOP. They can also determine the volatility of WCOP, 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 WCOP trading bots:
In addition, users can choose to download WCOP historical cryptocurrency OHLC (open, high, low, close) data to train their own WCOP trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study WCOP’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze WCOP candlestick chart data
WCOP 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 WCOP historical data, when the WCOP 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 WCOP 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.
FAQ
On this day in history
2025-12-03
Colombian Peso(WCOP)
