Qmall Price History

(QMALL)

Time period: 2024-10-17 ~ 2025-10-18

2024-10-17

2025-10-18

USD

Date	Open price*	Upper Price	Lower Price	Close price**	Vol
2025-10-16	$0.016351	$0.040754	$0.012877	$0.015990	$339.0739
2025-10-15	$0.011365	$0.040852	$0.011365	$0.016351	$178.6673
2025-10-14	$0.013576	$0.034337	$0.011119	$0.011365	$306.5169
2025-10-13	$0.030601	$0.040962	$0.010040	$0.013576	$82.36729
2025-10-12	$0.017691	$0.034062	$0.009036	$0.030601	$183.7263
2025-10-11	$0.026881	$0.028501	$0.014943	$0.017691	$1,677.300
2025-10-10	$0.016720	$0.037150	$0.010636	$0.026881	$442.3503
2025-10-09	$0.030782	$0.036171	$0.010846	$0.016720	$169.3901
2025-10-08	$0.011022	$0.041105	$0.010794	--	--
2025-10-07	$0.016169	$0.016735	$0.010934	$0.011022	$46.41566
2025-10-06	$0.015892	$0.018282	$0.013681	$0.016169	$214.3670
2025-10-05	$0.022792	$0.028294	$0.013002	$0.015892	$419.3898
2025-10-04	$0.016510	$0.028715	$0.01107	$0.022792	$67.70777
2025-10-03	$0.016707	$0.026238	$0.015005	$0.016510	$388.2885
2025-10-02	$0.043456	$0.038343	$0.015473	$0.016709	$331.0943
2025-10-01	$0.023296	$0.043465	$0.023291	$0.043456	$535.9156
2025-09-30	$0.018885	$0.023309	$0.014038	$0.023296	$284.0301
2025-09-29	$0.019909	$0.034203	$0.013100	$0.018885	$1,098.258
2025-09-28	$0.023787	$0.031083	$0.009773	$0.031079	$25.97119
2025-09-27	$0.032690	$0.028759	$0.009657	$0.023787	$701.0740

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

Where can you buy QMALL

Buy through LBank App

Complete account registration in just a few minutes to buy cryptocurrency via credit card or bank transfer.

Download APPDiscover the era of meme legends

Trade on LBank

Deposit crypto into LBank, enjoy high liquidity and low fees.

Trade hot coins

New users can receive a welcome gift pack worth

6000

USDT

About QMALL historical price data

The QMALL 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 QMALL 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 QMALL price history data, its value surged to an all-time high of over $1.36 in 2022-05-05. On the other hand, the lowest point in the QMALL price trajectory (often referred to as the “QMALL all-time low”) occurred in 2025-09-04. Anyone who purchased QMALL during that period would currently enjoy an impressive profit of $1.356443.

By design, the total supply of QMALL will reach 100M. As of now, the circulating supply of QMALL is approximately 70M.

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.

QMALL historical data examples

Here are some uses of QMALL historical data in QMALL trading

Technical analysis:

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

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

How to analyze QMALL candlestick chart data

QMALL 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 QMALL historical data, when the QMALL 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 QMALL 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.