NPCS AI(XNPCS)Today
$0.000174
NPCS AI Price History
(XNPCS)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 |
|---|---|---|---|---|---|
2025-10-17 | $0.000198 | $0.000203 | $0.000176 | $0.000187 | $4,401.495 |
2025-10-16 | $0.000210 | $0.000219 | $0.000197 | $0.000198 | $5,044.128 |
2025-10-15 | $0.000200 | $0.000222 | $0.000205 | $0.000212 | $5,093.862 |
2025-10-14 | $0.000200 | $0.000210 | $0.000191 | $0.000200 | $2,913.633 |
2025-10-13 | $0.000190 | $0.000201 | $0.000192 | $0.000197 | $5,334.561 |
2025-10-12 | $0.000197 | $0.000198 | $0.000176 | $0.000191 | $11,514.53 |
2025-10-11 | $0.000215 | $0.000219 | $0.000185 | $0.000196 | $7,786.490 |
2025-10-10 | $0.000235 | $0.000236 | $0.000214 | $0.000215 | $4,831.630 |
2025-10-09 | $0.000255 | $0.000265 | $0.000234 | $0.000237 | $6,492.528 |
2025-10-08 | $0.000246 | $0.000258 | $0.000242 | $0.000254 | $6,990.119 |
2025-10-07 | $0.000272 | $0.000275 | $0.000244 | $0.000246 | $8,580.233 |
2025-10-06 | $0.000247 | $0.000277 | $0.000234 | $0.000273 | $15,172.37 |
2025-10-05 | $0.000242 | $0.000257 | $0.000241 | $0.000247 | $10,167.65 |
2025-10-04 | $0.000263 | $0.000267 | $0.000202 | $0.000242 | $30,042.68 |
2025-10-03 | $0.000265 | $0.000274 | $0.000260 | $0.000264 | $14,614.00 |
2025-10-02 | $0.000263 | $0.000269 | $0.000253 | $0.000265 | $10,940.24 |
2025-10-01 | $0.000244 | $0.000264 | $0.000242 | $0.000262 | $14,397.00 |
2025-09-30 | $0.000253 | $0.000262 | $0.000244 | $0.000246 | $13,885.43 |
2025-09-29 | $0.000243 | $0.000260 | $0.000237 | $0.000253 | $15,431.69 |
2025-09-28 | $0.000256 | $0.000256 | $0.000237 | $0.000243 | $13,239.55 |
* Earliest data in range (UTC time)
** Latest data in range (UTC time)
Where can you buy XNPCS
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
About XNPCS historical price data
The XNPCS 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 XNPCS 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 XNPCS price history data, its value surged to an all-time high of over $0.010099 in 2025-05-01. On the other hand, the lowest point in the XNPCS price trajectory (often referred to as the “XNPCS all-time low”) occurred in 2025-10-18. Anyone who purchased XNPCS during that period would currently enjoy an impressive profit of $0.009924.
By design, the total supply of XNPCS will reach 6,176M. As of now, the circulating supply of XNPCS is approximately --.
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.
XNPCS historical data examples
Here are some uses of XNPCS historical data in XNPCS trading
Technical analysis:
Traders use historical data to analyze trends and movements in the XNPCS 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 XNPCS 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 XNPCS market. By using LBank’s XNPCS historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for XNPCS. 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 XNPCS. They can also determine the volatility of XNPCS, 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 XNPCS trading bots:
In addition, users can choose to download XNPCS historical cryptocurrency OHLC (open, high, low, close) data to train their own XNPCS trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study XNPCS’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze XNPCS candlestick chart data
XNPCS 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 XNPCS historical data, when the XNPCS 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 XNPCS 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
2025-10-18
NPCS AI(XNPCS)
