Technical implementation and application scenarios of AI analytics module
go-stock's integrated AI Big Model Analysis represents a paradigm shift in stock research tools. Based on cutting-edge deep learning technology, this feature is able to automatically process multi-dimensional data such as earnings data, technical indicators, and public opinion information to generate institutional-level analysis reports. ROIC calculation, DuPont analysis and other tasks that take analysts hours to complete for traditional securities analysis can now be completed in seconds through AI models.
Specific function realization and value creation
The tool realizes three breakthrough applications: first, intelligent attribution analysis, which automatically disentangles the key drivers of stock price fluctuations; second, industry chain linkage analysis, which identifies the conduction effect of associated underlying through knowledge graph; and third, pattern recognition in multiple time dimensions, with trend prediction from minute to monthly level. These features enable individual investors to gain analytical capabilities comparable to those of professional organizations for the first time.
Actual cases show that the winning rate of users' operation strategies combined with the AI analysis module has increased by 27%, especially when dealing with complex event-driven quotes (e.g. M&A restructuring and policy adjustments), AI's real-time extrapolation capability has shown significant advantages. This function has now become a standard configuration tool for high-frequency traders and fundamental investors.
This answer comes from the articlego-stock: AI-enabled stock analysis tool, real-time monitoring of self-picked stock quotes and in-depth analysis based on AIThe
