International Genius Company (IGC) is undergoing a significant transformation, positioning itself as a leader in AI-driven trading technology solutions. This strategic shift is driven by a dual approach integrating advanced technology and fostering innovative cooperation models. The fiscal year ending June 30, 2024, has been pivotal for IGC, marked by strategic acquisitions, talent acquisition, and enhanced corporate governance. Central to this transformation is the integration of cutting-edge AI technologies with financial market insights, which aims to redefine financial asset trading by making it more efficient and data-driven. IGC has significantly ramped up its research and development (R&D) efforts, focusing on AI trading technology.
The acquisition of the Deep Neural Computing Company Limited (DNCC) on March 22, 2024, has been a game-changer for IGC. This move has bolstered IGC’s capabilities in AI-driven investment strategies and quantitative trading by integrating DNCC’s expertise in deep neural networks and distributed computing. This acquisition provides IGC with a robust foundation for developing advanced trading algorithms. Following the acquisition, IGC has made significant strides in developing machine learning and deep learning-based trading algorithms. These algorithms offer customized, scalable AI trading technology solutions, facilitating international financial transactions. Market projections indicate a substantial growth opportunity, with the global algorithmic trading market expected to reach $42.99 billion by 2030.
Strategic Transformation and Technological Integration
At the heart of IGC’s transformation is the integration of cutting-edge AI technologies with financial market insights. This approach aims to redefine financial asset trading, making it more efficient and data-driven. IGC has significantly ramped up its research and development (R&D) efforts, focusing on AI trading technology. The company’s dedication to technological advancement is evident in the sophisticated algorithms it has developed post-acquisition. These algorithms, grounded in machine learning and deep learning principles, provide customized and scalable AI trading technology solutions. By harnessing these technologies, IGC is positioning itself to tap into the growing global algorithmic trading market, which is forecasted to reach a value of $42.99 billion by 2030.
The acquisition of Deep Neural Computing Company Limited (DNCC) has played a pivotal role in this strategic transformation. Completed on March 22, 2024, this acquisition has significantly bolstered IGC’s capabilities in AI-driven investment strategies and quantitative trading. DNCC’s expertise in deep neural networks and distributed computing has provided IGC with a robust foundation for developing advanced trading algorithms. This strategic move has not only enhanced IGC’s technological capabilities but also expanded its service offerings. DNCC’s approval as a fund manager in the British Virgin Islands now enables IGC to provide a range of services, including technical support, robust risk control modules, and neuromorphic computing. These additional capabilities strengthen IGC’s position in offering comprehensive AI-driven trading solutions, thus enhancing its market competitiveness.
Strategic Acquisition of DNCC
One of the cornerstones of IGC’s transformation has been the strategic acquisition of DNCC, a leader in AI, deep neural networks, distributed computing, and quantitative trading algorithms. This acquisition, completed on March 22, 2024, has significantly bolstered IGC’s capabilities in AI-driven investment strategies and quantitative trading. DNCC’s expertise has provided IGC with a robust foundation for developing advanced trading algorithms. These algorithms are designed to be scalable and customizable, providing clients with tailored solutions that enhance their trading efficiency and profitability. The strategic move has not only enhanced IGC’s technological capabilities but also expanded its service offerings.
DNCC’s approval as a fund manager in the British Virgin Islands is a crucial aspect of this acquisition. This approval enables DNCC to offer a comprehensive range of services, including technical support, robust risk control modules, and neuromorphic computing. These services position IGC to offer comprehensive AI-driven trading solutions to its clients, enhancing its market competitiveness. By integrating DNCC’s expertise, IGC has been able to develop advanced trading algorithms catered to the specific needs of its clients. These algorithms are not only scalable but also customizable, providing clients with tailored solutions that enhance their trading efficiency and profitability.
Talent Acquisition
Attracting top-tier talent has been a critical component of IGC’s innovation strategy. The company has focused on bringing in experts in R&D and international financial trading to drive its technological advancements. Notable hires include Dr. He Xiaobin as Executive Director & Chief Economist, Professor Yin Hongzhi as Chief Consultant, Dr. Guanhua Ye as Chief Algorithm Researcher, and Ms. Fong Man Julisa as an Independent Non-Executive Director. These strategic hires have significantly bolstered IGC’s innovation capacity. Dr. He Xiaobin’s expertise in economic analysis and financial markets has provided valuable insights into market trends and investment strategies, while Professor Yin Hongzhi’s experience in AI and machine learning has been instrumental in developing advanced trading algorithms.
The role of Dr. Guanhua Ye as Chief Algorithm Researcher has been pivotal in enhancing IGC’s R&D capabilities. His expertise in algorithm development has enabled IGC to create sophisticated trading solutions leveraging the latest advancements in AI and machine learning. Moreover, the appointment of Ms. Fong Man Julisa as an Independent Non-Executive Director has strengthened IGC’s corporate governance and strategic decision-making processes. These strategic hires underscore IGC’s commitment to innovation and technological advancement, as well as its dedication to maintaining strong governance and decision-making practices.
Innovative Cooperation Models
IGC has established innovative cooperation models with prominent financial institutions to enhance the commercialization of its AI-driven trading technology. These partnerships involve collaborative discussions on investment strategies and fee structures, enabling IGC to offer customized product offerings at lower costs. Notable partnerships with Saxo Capital Markets HK Limited and Confiprosper Fintech Limited have been significant milestones in IGC’s strategic journey. These collaborations have facilitated the licensing of AI technology and asset management cooperation, thereby validating the commercial viability of IGC’s solutions.
The cooperation model adopted by IGC allows for seamless integration of its AI trading technology with the existing systems of its partners. This approach not only enhances the efficiency of financial transactions but also provides clients with a competitive edge in the market. By leveraging the expertise of its partners, IGC has been able to accelerate practical application and market penetration of its AI trading solutions. These partnerships signify strategic milestones in IGC’s journey, showcasing the company’s commitment to fostering innovative cooperation models that enhance the commercialization and practical application of its AI trading technology solutions.
Corporate Governance and ESG Improvements
IGC has made significant strides in improving its corporate governance practices and Environmental, Social, and Governance (ESG) ratings. The company’s ESG rating was recently upgraded from BB to BBB, reflecting its commitment to sustainable business practices and corporate responsibility. Initiatives to enhance governance include appointing experienced senior management members and improving information disclosure systems and risk management frameworks. These measures have strengthened IGC’s organizational structure and ensured greater transparency and accountability in its operations.
IGC’s active involvement in social welfare projects underscores its commitment to corporate social responsibility (CSR). The “Hundred Schools in Three Years” initiative, in collaboration with the Smile Charity Foundation, exemplifies IGC’s dedication to societal development. This initiative aims to provide educational support and resources, highlighting the company’s balanced approach towards business development and community contribution. Through such initiatives, IGC not only enhances its market credibility but also underscores its commitment to making a positive societal impact. This balanced approach, combining strong governance, ESG improvements, and active CSR involvement, positions IGC for sustained growth and market reputation.
Conclusion
International Genius Company (IGC) is undergoing a major transformation to establish itself as a leader in AI-driven trading technology solutions. This new direction combines advanced technology with innovative cooperation models. The fiscal year ending June 30, 2024, has been crucial for IGC, featuring strategic acquisitions, recruitment of top talent, and improved corporate governance. A key element in this transformation is the infusion of cutting-edge AI technologies with financial market insights to make financial asset trading more efficient and data-driven. IGC has significantly boosted its research and development (R&D) efforts, particularly in AI trading technology.
The acquisition of Deep Neural Computing Company Limited (DNCC) on March 22, 2024, has been transformative for IGC. This step has enhanced IGC’s capabilities in AI-driven investment strategies and quantitative trading by leveraging DNCC’s expertise in deep neural networks and distributed computing. This acquisition gives IGC a strong base to develop advanced trading algorithms. Since then, IGC has made substantial progress in creating machine learning and deep learning-based trading algorithms, offering customized, scalable AI trading solutions for international financial transactions. The global algorithmic trading market is expected to grow significantly, reaching an estimated $42.99 billion by 2030.
