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Ark of Panda

Ark of Panda Price History

(AOP)
Time period2024-11-06 ~ 2025-11-07
2024-11-06
2025-11-07
USD
Date
Open price*
Upper Price
Lower Price
Close price**
Vol
2025-11-06
$0.039740
$0.04207
$0.03942
$0.039719
$2.804M
2025-11-05
$0.041969
$0.04203
$0.03906
$0.039768
$7.837M
2025-11-04
$0.042945
$0.04304
$0.04118
$0.041967
$108.341K
2025-11-03
$0.043253
$0.04357
$0.04239
$0.042956
$16.126M
2025-11-02
$0.047337
$0.0479
$0.04281
$0.043260
$113.408K
2025-11-01
$0.047995
$0.04815
$0.04752
$0.047581
$17.754M
2025-10-31
$0.048707
$0.04882
$0.04759
$0.047990
$18.248M
2025-10-30
$0.050605
$0.05107
$0.0479
$0.048709
$15.944M
2025-10-29
$0.055025
$0.05584
$0.04965
$0.050421
$9.797M
2025-10-28
$0.055585
$0.05623
$0.05367
$0.054806
$14.610M
2025-10-27
$0.055968
$0.05943
$0.05439
$0.055711
$13.982M
2025-10-26
$0.059244
$0.06328
$0.05157
$0.056253
$120.944K
2025-10-25
$0.057194
$0.06184
$0.05157
$0.059119
$2.214M
2025-10-24
$0.056686
$0.0603
$0.05607
$0.057183
$3.180M
2025-10-23
$0.054599
$0.06138
$0.05439
$0.056689
$3.874M
2025-10-22
$0.053323
$0.05506
$0.05126
$0.05466
$4.267M
2025-10-21
$0.060223
$0.06182
$0.05168
$0.05295
$5.513M
2025-10-20
$0.052621
$0.07397
$0.05636
$0.06195
$11.637M
2025-10-19
$0.080412
$0.07877
$0.04358
$0.05292
$87.537M
2025-10-18
$0.081421
$0.08284
$0.07774
$0.08026
$425.793M
* Earliest data in range (UTC time)
** Latest data in range (UTC time)

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About AOP historical price data

The AOP 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 AOP 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 AOP price history data, its value surged to an all-time high of over $0.068817 in 2025-09-27. On the other hand, the lowest point in the AOP price trajectory (often referred to as the “AOP all-time low”) occurred in 2025-09-19. Anyone who purchased AOP during that period would currently enjoy an impressive profit of $0.027146.
By design, the total supply of AOP will reach 2,000M. As of now, the circulating supply of AOP is approximately 271M.
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.

AOP historical data examples

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

How to analyze AOP candlestick chart data

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

2025-11-07
Ark of PandaArk of Panda(AOP)
Today
$0.04006

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