ABOUT
This
website features a range of software products based on neural networks,
developed by Silentium Systems. These applications enable
potential users to address a variety of non-standard problems that are
challenging to solve effectively.
In particular, the application TERESIUS_AI allows users to
identify graphic files generated by artificial intelligence. Upon uploading a graphic file, the
application determines whether the image was created by AI
or if it is a conventional color photograph or an image captured by
photographic or video equipment. Additionally, the application provides the
probability of an erroneous decision, which is contingent upon numerous diverse
factors. Based on statistical testing, this system currently outperforms its
analogues in terms of efficiency. The application is available for public
access (without registration). A brief description of the system and a user
guide are provided in the TERESIUS_VIEW section of the website. File uploading and system
operation can be found in the TERESIUS_AI section.
The
TERESIUS_FORECAST application addresses the task of predicting Bitcoin prices in graphical form for intervals of 30
minutes, 1 hour, 2 hours, and 4 hours ahead. The
relevant pair is BTCUSDT. This application is entirely built
on neural networks. A significant
distinction from most cryptocurrency and Forex market
forecasting systems is that the "system dares" to predict specific
high and low values for Bitcoin. It also presents
the root mean square error of local predictions and the root mean square
volatility of market parameters. These errors are variable. Practical
experience with various trading algorithms demonstrates that based on this
forecast, effective Bitcoin (BTCUSDT) trading can be established. The
BTCUSDT quotes and all models are based on the futures
market quotes from the Binance exchange. However,
they are applicable to both the spot market and the same pair on other
exchanges.
This application is also
available for public access (without registration). A brief description of the
system and a user guide are provided in the TERESIUS_FORECAST_VIEW section of the
website. The application for forecast usage can be found
in the TERESIUS_FORECAST section.
