Treehouse Price History

(TREE)

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	$0.152663	$0.1745	$0.1523	$0.165573	$32.256M
2025-10-17	$0.164225	$0.1664	$0.1461	$0.153600	$24.282M
2025-10-16	$0.172177	$0.1764	$0.16	$0.162705	$21.799M
2025-10-15	$0.172982	$0.1871	$0.1705	$0.172573	$24.496M
2025-10-14	$0.181132	$0.1863	$0.164	$0.173441	$23.521M
2025-10-13	$0.174652	$0.1828	$0.1712	$0.181	$5.944M
2025-10-12	$0.171521	$0.1817	$0.161	$0.1765	$6.552M
2025-10-11	$0.223452	$0.2241	$0.0851	$0.1708	$6.053M
2025-10-10	$0.236798	$0.2429	$0.2219	$0.223305	$30.130M
2025-10-09	$0.2535	$0.2609	$0.2344	$0.236834	$21.824M
2025-10-08	$0.254562	$0.2582	$0.2464	$0.253558	$20.299M
2025-10-07	$0.269136	$0.2737	$0.2508	$0.254568	$22.369M
2025-10-06	$0.265418	$0.2697	$0.2554	$0.2693	$5.676M
2025-10-05	$0.259037	$0.2695	$0.2578	$0.265792	$18.911M
2025-10-04	$0.265431	$0.273	$0.2568	$0.258705	$21.240M
2025-10-03	$0.264139	$0.2721	$0.2582	$0.266524	$28.290M
2025-10-02	$0.265192	$0.2838	$0.26	$0.264234	$21.988M
2025-10-01	$0.248239	$0.2687	$0.2453	$0.265574	$21.594M
2025-09-30	$0.267309	$0.2691	$0.2466	$0.248331	$19.684M
2025-09-29	$0.264144	$0.2903	$0.261	$0.266421	$29.975M

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About TREE historical price data

The TREE 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 TREE 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 TREE price history data, its value surged to an all-time high of over $1.36 in 2025-07-29. On the other hand, the lowest point in the TREE price trajectory (often referred to as the “TREE all-time low”) occurred in 2025-07-29. Anyone who purchased TREE during that period would currently enjoy an impressive profit of $0.356000.

By design, the total supply of TREE will reach 1,000M. As of now, the circulating supply of TREE is approximately 156M.

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.

TREE historical data examples

Here are some uses of TREE historical data in TREE trading

Technical analysis:

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

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

How to analyze TREE candlestick chart data

TREE 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 TREE historical data, when the TREE 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 TREE 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.