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AISIFT

AISIFT Price History

(SIFT)
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
$0.000098
$0.00009
$0.00009
$0.000098
--
2025-10-17
$0.000098
$0.00009
$0.00009
$0.000098
$7.0288
2025-10-16
$0.000098
$0.00009
$0.00009
$0.000098
$3.1022
2025-10-15
$0.000124
$0.00012
$0.00009
$0.000098
$1.6853
2025-10-14
$0.000098
$0.00012
$0.00009
$0.000124
$2.1098
2025-10-13
$0.000098
$0.00009
$0.00009
$0.000098
$2.2029
2025-10-12
$0.000098
$0.00013
$0.00009
$0.000098
$2,018.923
2025-10-11
$0.000098
$0.00009
$0.00009
$0.000098
--
2025-10-10
$0.000098
$0.00009
$0.00009
$0.000098
--
2025-10-09
$0.000108
$0.0001
$0.00009
$0.000098
$14.047
2025-10-08
$0.000098
$0.0001
$0.00009
$0.000108
$0.4999
2025-10-07
$0.000098
$0.00009
$0.00009
$0.000098
--
2025-10-06
$0.000098
$0.00009
$0.00009
$0.000098
--
2025-10-05
$0.000098
$0.00009
$0.00009
$0.000098
$6.9955
2025-10-04
$0.000098
$0.00009
$0.00009
$0.000098
$0.1888
2025-10-03
$0.000098
$0.00009
$0.00009
$0.000098
$3.922
2025-10-02
$0.000105
$0.0001
$0.00009
$0.000098
$40.6528
2025-10-01
$0.000105
$0.0001
$0.0001
$0.000105
--
2025-09-30
$0.000105
$0.0001
$0.0001
$0.000105
--
2025-09-29
$0.000105
$0.0001
$0.0001
$0.000105
$10.5598
* Earliest data in range (UTC time)
** Latest data in range (UTC time)

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About SIFT historical price data

The SIFT 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 SIFT 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 SIFT price history data, its value surged to an all-time high of over -- in --. On the other hand, the lowest point in the SIFT price trajectory (often referred to as the “SIFT all-time low”) occurred in --. Anyone who purchased SIFT during that period would currently enjoy an impressive profit of $0.
By design, the total supply of SIFT will reach --. As of now, the circulating supply of SIFT 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.

SIFT historical data examples

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

How to analyze SIFT candlestick chart data

How to analyze SIFT candlestick chart data
SIFT 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 SIFT historical data, when the SIFT 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 SIFT 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
AISIFTAISIFT(SIFT)
Today
$0.000098

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