Knowledge Graph as the Basis
Deep Learning Algorithm
Alternative Data Analysis
Strong Visualization Capabilities
核心技術(shù)
A vast yet refined industrial network covers whole industry chains, supply chains, capital structures, equity ties and a lot of other important information, providing a panoramic and multi-dimensional perspective for analysis.
JoveGraph does automatic learning to reveal the patterns and connections hidden in massive data. It processes large amounts of data to produce accurate company valuation and insights in competition, thus effectively supporting company development.
JoveGraph breaks through the restrictions of traditional data analysis to find out more valuable information, which may involve potential risks, market opportunities, or competitive edges highly meaningful for investment or company development.
It presents industrial connections with clear charts so that users, with very simple operations, can understand instantly the overall layout of an industry and the connections between companies involved, as well as possible risks, thus making wise decisions.
Shenzhen Stock Exchange—Company Value and Risk Evaluation Labeling System
Based on the demand of the Shenzhen Stock Exchange regarding IPO review and enterprise and market supervision, GTCOM uses artificial intelligence technologies such as knowledge graph, deep learning, and alternative data analysis to gain insights into the core value of enterprises from an industry-wide perspective, maximize the efficiency of capital industries, and establish a company value and risk evaluation labeling system. Based firmly on GTCOM’s unique labeling system covering value labels, peer company labels and risk labels), the system focuses on value mining and risk perception. It uses alternative data analysis to do comprehensive analysis of the industry chains, supply chains, capital structures, equity relationships, and financial capabilities of enterprises. This multi-dimensional approach produces industry graphs, interest graphs, and insights into the competitive landscape, risk trends, and the value of enterprises and products. This provides the Shenzhen Stock Exchange with comprehensive information for enterprise regulation, market supervision, and IPO review.
Guosen Securities—Risk Warning System
In response to Guosen Securities’ need for full-scale risk event prediction, GTCOM developed a platform that covers the processing, integration, and analysis of data from multiple sources based on its enterprise information database, news event database, risk labeling database, value risk evaluation labeling system, and alternative data market sentiment detection system, as well as its advanced big data processing technology and algorithm services. The platform delves deep into risk events, establishes event connection graphs, and keeps track of risk events, so as to identify risk entities and their associations, and give tiered risk alerts for different clients, provide users with real-time risk information, and help regulatory and risk control authorities prevent corporate credit risks.
