This software offers a comprehensive market scan of finance across the world and can handle up to 100000 portfolio symbols. It features automated forecasting, technical indicators, digital filters, and performance tests. It also supports ARIMA, stepwise regressions, trend patterns, and native online data.

By using this software, I was able to ensure direct online data acquisition and smooth operation on huge datasets that contain hundreds of thousands of symbols. The built-in forecasting expert worked on a wide collection of elaborate predictors, technical indicators, digital filters, and statistical tests to achieve top forecasting accuracy and reliability in a fully automated unattended mode.
Moreover, this software has a grid-based distributed architecture that allows for uncompromised parallel analysis on supercomputer clusters and even geographically split systems scattered around the world. The system is unified through secure peering networking and SOAP messaging, which helps us to unlock the potential of a truly global brain, working overclock for our wealth and prosperity.
The software comes with a free open API, which enables unlimited system extensibility in both data access and additional forecasting technologies. These technologies are natively consumed in the system kernel expert reasoning. Additionally, the SOAP, DCOM, and C++ bindings provided in this software make it easy to achieve direct integration with virtually any enterprise infrastructure, including Java, NET, Delphi, MS Office, online portals, and interactive web services.
In conclusion, I would highly recommend this software to anyone who is looking for a powerful tool to conduct market scans and portfolio optimization based on batch forecasting of big collections of market instruments. With its extensive database connectivity, built-in forecasting, and distributed architecture, this software has everything you need to achieve top forecasting accuracy and reliability in a fully automated and seamless manner.
Version 2.0: N/A
Version 1.0: N/A