Primecoin Price History

(XPM)

Time period: 2025-03-16 ~ 2026-03-17

2025-03-16

2026-03-17

USD

Date	Open price*	Upper Price	Lower Price	Close price**	Vol
2026-03-16	$0.034319	$0.035617	$0.034259	$0.035074	$755.5406
2026-03-15	$0.033891	$0.034504	$0.033885	$0.034319	$898.2795
2026-03-14	$0.033803	$0.034040	$0.033127	$0.033891	$268.2460
2026-03-13	--	$0.034693	$0.032838	--	--
2026-03-12	$0.033004	$0.033438	$0.032549	$0.033081	$348.6605
2026-03-11	$0.033546	$0.033614	$0.032446	$0.033004	$492.4357
2026-03-10	--	$0.033577	$0.032131	--	--
2026-03-09	$0.031537	$0.032596	$0.030895	$0.032358	$307.5922
2026-03-08	$0.031915	$0.031972	$0.031309	$0.031537	$720.0984
2026-03-07	$0.032228	$0.032248	$0.031755	$0.031915	$170.5980
2026-03-06	$0.033373	$0.033519	$0.032139	$0.032228	$234.7983
2026-03-05	$0.032191	$0.034664	$0.031747	$0.034117	$276.6443
2026-03-04	$0.032337	$0.032527	$0.031249	$0.032229	$824.6417
2026-03-03	$0.030900	$0.032836	$0.030746	$0.032382	$379.0707
2026-03-02	$0.031509	$0.032290	$0.030648	$0.030915	$176.5888
2026-03-01	$0.030956	$0.031673	$0.029767	$0.031494	$481.4838
2026-02-28	$0.031706	$0.032015	$0.030650	$0.030964	$445.2521
2026-02-27	$0.031954	$0.032263	$0.031324	$0.031724	$245.1410
2026-02-26	$0.031171	$0.032669	$0.030678	$0.031954	$74.90479
2026-02-25	$0.030393	$0.031302	$0.029470	$0.031178	$581.7463

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About XPM historical price data

The XPM 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 XPM 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 XPM price history data, its value surged to an all-time high of over $7.27 in 2013-11-30. On the other hand, the lowest point in the XPM price trajectory (often referred to as the “XPM all-time low”) occurred in 2024-01-14. Anyone who purchased XPM during that period would currently enjoy an impressive profit of $7.262711.

By design, the total supply of XPM will reach 50M. As of now, the circulating supply of XPM 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.

XPM historical data examples

Here are some uses of XPM historical data in XPM trading

Technical analysis:

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

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

How to analyze XPM candlestick chart data

XPM 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 XPM historical data, when the XPM 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 XPM 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.