SUPER AGENTOS Price History
(SAGENT)Date | Open price* | Upper Price | Lower Price | Close price** | Vol |
|---|---|---|---|---|---|
2026-08-31 | $0.000210 | $0.000305 | $0.000164 | $0.000182 | 73,765.07 |
2026-08-30 | -- | $0.000343 | $0.000185 | -- | -- |
Where can you buy SAGENT
About SAGENT historical price data
The SAGENT 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 SAGENT 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 SAGENT price history data, its value surged to an all-time high of over $0.000343 in 1970-01-22. On the other hand, the lowest point in the SAGENT price trajectory (often referred to as the “SAGENT all-time low”) occurred in 1970-01-22. Anyone who purchased SAGENT during that period would currently enjoy an impressive profit of $0.000217.
By design, the total supply of SAGENT will reach 999,996,798.61. As of now, the circulating supply of SAGENT is approximately 999,996,798.61.
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.
SAGENT historical data examples
Here are some uses of SAGENT historical data in SAGENT trading
Traders use historical data to analyze trends and movements in the SAGENT 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.
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 SAGENT market. By using LBank’s SAGENT historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for SAGENT. These data can then be used to define and train price prediction models, helping users make informed trading decisions.
By obtaining historical data, traders can assess the risks of investing in SAGENT. They can also determine the volatility of SAGENT, allowing them to make sound investment decisions.
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.
In addition, users can choose to download SAGENT historical cryptocurrency OHLC (open, high, low, close) data to train their own SAGENT trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study SAGENT’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze SAGENT candlestick chart data

SAGENT 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 SAGENT historical data, when the SAGENT 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 SAGENT 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.