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Scoutly AI

Scoutly AI Price History

(SCOUT)
Time period2024-10-18 ~ 2025-10-19
2024-10-18
2025-10-19
USD
Date
Open price*
Upper Price
Lower Price
Close price**
Vol
2025-10-18
$0.000101
$0.000106
$0.000101
$0.000103
$1,066.573
2025-10-17
$0.000106
$0.000108
$0.000098
$0.000102
$68.47532
2025-10-16
$0.000110
$0.000112
$0.000104
$0.000105
$19.61809
2025-10-15
$0.000112
$0.000116
$0.000110
$0.000111
$88.63583
2025-10-14
$0.000110
$0.000125
$0.000107
$0.000113
$3,992.850
2025-10-13
$0.000107
$0.000111
$0.000107
$0.000110
$67.28695
2025-10-12
$0.000102
$0.000109
$0.000097
$0.000107
$368.5138
2025-10-11
$0.000120
$0.000120
$0.000096
$0.000102
$797.0236
2025-10-10
$0.000124
$0.000127
$0.000118
$0.000118
$81.83190
2025-10-09
$0.000127
$0.000133
$0.000124
$0.000125
$539.1361
2025-10-08
$0.000129
$0.000130
$0.000125
$0.000127
$117.3000
2025-10-07
$0.000137
$0.000138
$0.000128
$0.000129
$411.3948
2025-10-06
$0.000134
$0.000137
$0.000131
$0.000137
$800.8750
2025-10-05
$0.000130
$0.000136
$0.000129
$0.000134
$277.5767
2025-10-04
$0.000135
$0.000136
$0.000129
$0.000129
$87.19150
2025-10-03
$0.000131
$0.000137
$0.000131
$0.000136
$261.0484
2025-10-02
$0.000128
$0.000133
$0.000126
$0.000132
$948.5636
2025-10-01
$0.000119
$0.000129
$0.000118
$0.000128
$212.2461
2025-09-30
$0.000123
$0.000125
$0.000119
$0.000120
$253.5592
2025-09-29
$0.000119
$0.000124
$0.000119
$0.000123
$78.29484
* Earliest data in range (UTC time)
** Latest data in range (UTC time)

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About SCOUT historical price data

The SCOUT 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 SCOUT 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 SCOUT price history data, its value surged to an all-time high of over $0.017015 in 2024-12-31. On the other hand, the lowest point in the SCOUT price trajectory (often referred to as the “SCOUT all-time low”) occurred in 2025-10-11. Anyone who purchased SCOUT during that period would currently enjoy an impressive profit of $0.016918.
By design, the total supply of SCOUT will reach 1,000M. As of now, the circulating supply of SCOUT is approximately 1,000M.
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.

SCOUT historical data examples

Here are some uses of SCOUT historical data in SCOUT trading
Technical analysis:
Traders use historical data to analyze trends and movements in the SCOUT 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 SCOUT 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 SCOUT market. By using LBank’s SCOUT historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for SCOUT. 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 SCOUT. They can also determine the volatility of SCOUT, 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 SCOUT trading bots:
In addition, users can choose to download SCOUT historical cryptocurrency OHLC (open, high, low, close) data to train their own SCOUT trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study SCOUT’s historical data, gain valuable insights, and potentially improve their trading strategies.

How to analyze SCOUT candlestick chart data

How to analyze SCOUT candlestick chart data
SCOUT 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 SCOUT historical data, when the SCOUT 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 SCOUT 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

2025-10-19
Scoutly AIScoutly AI(SCOUT)
Today
$0.000103

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