Streamr Price History

(DATA)

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	$0.009765	$0.009848	$0.008649	$0.009083	$2.487M
2025-10-16	$0.010019	$0.010468	$0.009688	$0.009744	$2.341M
2025-10-15	$0.010843	$0.011192	$0.009993	$0.010018	$2.463M
2025-10-14	$0.010890	$0.011602	$0.010488	$0.010863	$2.540M
2025-10-13	$0.010272	$0.010982	$0.010492	$0.010890	$2.799M
2025-10-12	$0.010348	$0.010648	$0.009682	$0.010272	$1.952M
2025-10-11	$0.013106	$0.013170	$0.007815	$0.010348	$7.254M
2025-10-10	$0.013246	$0.013678	$0.013074	$0.013090	$2.637M
2025-10-09	$0.013520	$0.014178	$0.013052	$0.013253	$5.566M
2025-10-08	$0.013539	$0.013616	$0.013202	$0.013518	$3.954M
2025-10-07	$0.014473	$0.014488	$0.013482	$0.013526	$4.710M
2025-10-06	$0.014308	$0.014485	$0.013918	$0.014473	$2.999M
2025-10-05	$0.014132	$0.014595	$0.014050	$0.014315	$3.405M
2025-10-04	$0.014384	$0.014557	$0.013999	$0.014125	$2.677M
2025-10-03	$0.014051	$0.014586	$0.014108	$0.014400	$3.268M
2025-10-02	$0.013765	$0.014278	$0.013760	$0.014080	$2.742M
2025-10-01	$0.013039	$0.013842	$0.012936	$0.013784	$3.742M
2025-09-30	$0.013393	$0.013693	$0.012931	$0.013037	$3.127M
2025-09-29	$0.013282	$0.014066	$0.013134	$0.013390	$4.878M
2025-09-28	$0.013395	$0.013413	$0.012840	$0.013282	$2.607M

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About DATA historical price data

The DATA 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 DATA 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 DATA price history data, its value surged to an all-time high of over $0.209972 in 2021-12-03. On the other hand, the lowest point in the DATA price trajectory (often referred to as the “DATA all-time low”) occurred in 2025-10-11. Anyone who purchased DATA during that period would currently enjoy an impressive profit of $0.202156.

By design, the total supply of DATA will reach 1,000M. As of now, the circulating supply of DATA is approximately 767M.

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.

DATA historical data examples

Here are some uses of DATA historical data in DATA trading

Technical analysis:

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

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

How to analyze DATA candlestick chart data

DATA 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 DATA historical data, when the DATA 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 DATA 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.