HomeBrowse Crypto PricesHistorical data of 庄
庄

庄 Price History

(BUNDLE)
Time period2024-10-18 ~ 2025-10-19
2024-10-18
2025-10-19
USD
Date
Open price*
Upper Price
Lower Price
Close price**
Vol
2025-10-18
--
$0.014667
$0.014485
--
--
2025-10-17
--
$0.014677
$0.014288
--
--
2025-10-16
--
$0.015535
$0.015091
--
--
2025-10-15
$0.015652
$0.016047
$0.015357
$0.015483
$1.073229
2025-10-14
--
$0.016634
$0.015241
--
--
2025-10-13
--
$0.015641
$0.01503
--
--
2025-10-12
$0.014428
$0.015176
$0.013591
$0.015016
$33.84089
2025-10-11
$0.016528
$0.016646
$0.014226
$0.014377
$61.79985
2025-10-10
$0.017121
$0.017568
$0.016419
$0.016524
$2.968686
2025-10-09
$0.017270
$0.017902
$0.017075
$0.017214
$219.1971
2025-10-08
$0.017484
$0.017648
$0.017066
$0.017376
$49.48749
2025-10-07
$0.018534
$0.018593
$0.017379
$0.017576
$33.53079
2025-10-06
--
$0.018534
$0.017740
--
--
2025-10-05
--
$0.017967
$0.017967
--
--
2025-10-04
--
$0.018412
$0.017864
--
--
2025-10-03
--
$0.018438
$0.017904
--
--
2025-10-02
--
$0.016469
$0.016224
--
--
2025-10-01
--
$0.016572
$0.016203
--
--
2025-09-30
--
$0.016894
$0.016349
--
--
2025-09-29
$0.015956
$0.016763
$0.015947
$0.016556
$2.460026
* Earliest data in range (UTC time)
** Latest data in range (UTC time)

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About BUNDLE historical price data

The BUNDLE 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 BUNDLE 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 BUNDLE price history data, its value surged to an all-time high of over $0.027580 in 2025-08-05. On the other hand, the lowest point in the BUNDLE price trajectory (often referred to as the “BUNDLE all-time low”) occurred in 2025-08-02. Anyone who purchased BUNDLE during that period would currently enjoy an impressive profit of $0.017624.
By design, the total supply of BUNDLE will reach 999M. As of now, the circulating supply of BUNDLE is approximately 999M.
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.

BUNDLE historical data examples

Here are some uses of BUNDLE historical data in BUNDLE trading
Technical analysis:
Traders use historical data to analyze trends and movements in the BUNDLE 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 BUNDLE 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 BUNDLE market. By using LBank’s BUNDLE historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for BUNDLE. 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 BUNDLE. They can also determine the volatility of BUNDLE, 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 BUNDLE trading bots:
In addition, users can choose to download BUNDLE historical cryptocurrency OHLC (open, high, low, close) data to train their own BUNDLE trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study BUNDLE’s historical data, gain valuable insights, and potentially improve their trading strategies.

How to analyze BUNDLE candlestick chart data

How to analyze BUNDLE candlestick chart data
BUNDLE 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 BUNDLE historical data, when the BUNDLE 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 BUNDLE 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

2025-10-19
庄(BUNDLE)
Today
$0.014587

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