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Data Technology

  • With data-driven business as the core concept, enable entity enterprises, financial institutions and government agencies to achieve the goals of Digital transformation at all stages, create typical cases in the field, establish long-term strategic partnerships and jointly promote the depth and breadth of Digital transformation.
  • We provide customized solutions based on data service modules, including strategic consulting, solutions, and implementation data services, based on our extensive experience in data management systems and modular data technology. We have established strategic partnerships with a variety of companies, including large financial groups, large state-owned enterprises, asset management firms, new energy enterprises, and so on.
  • Analyze market pain points, create universal software and products with the goal of lowering enterprise operating costs and improving operational efficiency, and widely enhance the digitalization level of enterprises.
  • We attribute real economic data to financial attributes by using data technology to explore the value of alternative data, provide diversified solutions for physical enterprises to connect with the capital market, and provide a basis for financial market risk and value assessment.

Quantitative Investment

  • Relying on the internationally leading quantitative fund investment management technology and profound experience in the front, middle and back offices of the domestic market to create a unique quantitative investment analysis platform Skynet.
  • Since 2018, SAFS has provided quantitative fund technical consulting services for several cooperative institutions, including securities firms, wealth management companies and private equity funds, etc. SAFS has also managed six funds, with more than 200 million yuan under management, and the rate of return is ahead of the market average level.
  • SAFS and the expert team of the CFIF jointly launched the China Star Fund Index. This series of indexes uses an artificial intelligence model to continuously learn and observe the market environment and uses AI algorithms to calculate the optimal quantitative trading portfolio of the corresponding strategy under the current market environment.

Energy Storage