Quant Price History

(QNT)

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
2025-10-18	$80.77636	$85.38	$81.19	$83.53600	$16.380M
2025-10-17	$85.70456	$88	$77.7	$81.01691	$33.738M
2025-10-16	$87.42320	$89.04	$84.53	$85.38021	$20.972M
2025-10-15	$88.42106	$92.26	$87.02	$87.48036	$20.854M
2025-10-14	$92.16084	$94.15	$84.14	$88.65812	$32.058M
2025-10-13	$90.07699	$93.56	$88.9	$91.75	$793.462K
2025-10-12	$90.07148	$92.68	$84.75	$90.72	$843.081K
2025-10-11	$98.07793	$99.24	$60.56	$89.69	$1.857M
2025-10-10	$100.3819	$101.53	$96.01	$98.08155	$20.965M
2025-10-09	$100.3132	$103.38	$99.13	$100.3990	$22.103M
2025-10-08	$101.2983	$103.21	$99.92	$100.3004	$23.760M
2025-10-07	$105.4584	$106.99	$100.28	$101.1756	$25.340M
2025-10-06	$103.2781	$105.7	$101.14	$105.09	$628.678K
2025-10-05	$102.8497	$106.18	$102.34	$103.3042	$20.768M
2025-10-04	$105.3381	$107.41	$102.15	$102.7210	$20.157M
2025-10-03	$105.6552	$108.04	$104.09	$105.3427	$23.366M
2025-10-02	$103.3349	$110.35	$103.59	$105.6888	$33.475M
2025-10-01	$100.5865	$104.28	$99.46	$103.3644	$37.882M
2025-09-30	$105.2440	$106.04	$100.1	$100.5671	$39.275M
2025-09-29	$97.56788	$105.87	$97.99	$105.5441	$34.216M

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About QNT historical price data

The QNT 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 QNT 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 QNT price history data, its value surged to an all-time high of over $427.42 in 2021-09-11. On the other hand, the lowest point in the QNT price trajectory (often referred to as the “QNT all-time low”) occurred in 2018-08-23. Anyone who purchased QNT during that period would currently enjoy an impressive profit of $427.2042.

By design, the total supply of QNT will reach 14M. As of now, the circulating supply of QNT is approximately 14M.

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.

QNT historical data examples

Here are some uses of QNT historical data in QNT trading

Technical analysis:

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

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

How to analyze QNT candlestick chart data

QNT 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 QNT historical data, when the QNT 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 QNT 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.