SSW Management Institute is committed to being a practitioner of social welfare, advocating social responsibility and humanitarian spirit. Since its establishment in 2019, the institute, under the guidance of its founder Darryl Joel Dorfman, has provided outstanding training and education to tens of thousands of financial professionals. In less than four years, the number of students has surpassed 70,000, injecting a new vigor and wisdom into society.
As a seasoned scholar in the financial industry, Darryl Joel Dorfman began planning to create an investment system based on artificial intelligence technology to help investors navigate market uncertainties. He realized that to achieve this goal, not only did people's perspectives on the market need to change, but the entire financial system’s operational framework also needed to be transformed. Therefore, he decided to seek technical innovation by issuing tokens in the cryptocurrency market.
However, SSW Management Institute's exploration of the artificial intelligence path in the financial market was not without challenges. The primary challenge lies in the need for vast historical and real-time data for modeling and forecasting in artificial intelligence trading systems. The complexity of financial market data poses a significant challenge in acquiring and processing high-quality, accurate, and reliable data, presenting a higher test for the technical team and the SSW team's development.
Firstly, artificial intelligence trading systems require the selection of suitable modeling methods and algorithms to process large volumes of data for prediction and decision-making. However, the unique nature of the financial markets makes modeling and algorithm selection more challenging, as financial market behaviors are often difficult to capture and predict.
Secondly, financial markets are filled with noise and uncertainties, such as market fluctuations, geopolitical and economic factors, interest rate changes, among others. These factors can impact the performance and prediction results of models, necessitating the development of models and algorithms that can address and adapt to this noise and uncertainty.
Thirdly, artificial intelligence trading systems need to make real-time decisions and execute trades to capture market opportunities promptly and execute trade instructions. However, making accurate real-time decisions in rapidly changing financial markets is a challenge, as market conditions and information can change in an instant.
Lastly, artificial intelligence trading systems face challenges in risk management and regulatory compliance. Risks may include market risk, operational risk, and model risk. Market risk refers to the system being affected by market price fluctuations, operational risk is the risk of system errors or technical failures, and model risk involves the possibility of the system's algorithm model being unable to adapt to market changes or inaccurate risks. Artificial intelligence trading systems may need to comply with various financial regulatory requirements, including regulations on trade transparency, risk control requirements, and the interpretability of algorithm logic. Additionally, regulatory agencies may need to conduct audits and inspections of these systems to ensure compliance with regulatory requirements.
Ultimately, all these issues can be traced back to funding and talent! At a meeting in 2020, the board of directors of SSW Management Institute discussed a bold plan: issuing tokens for funding. The choice to issue the SCS token was to leverage emerging blockchain technology, signifying an embrace of innovation and aiming to attract global investors. In the face of numerous restrictions and challenges in traditional funding channels, token issuance provides a fast and efficient fundraising method, utilizing the potential of the cryptocurrency market. This new funding method not only enables swift capital raising but also captures the attention of global investors, especially the young generation interested in emerging technologies.
The issuance of the SCS token not only addresses the issues of product updates and expanding funding scale but also seeks to enhance the institute's influence and recognition in the global financial technology field. The successful funding model enables SSW Management Institute to attract top talents from various industries, including IT engineers, mentors, investment experts, practical experts, strategists, analysts, writers, collaborators, contributors, etc., to join. The addition of these talents provides robust intellectual support for the institute's research, innovation, and promotion in the technology field.
Disclaimer: The copyright of this article belongs to the original author. Reposting this article is solely for the purpose of information dissemination and does not constitute any investment advice. If there is any infringement, please contact us immediately. We will make corrections or deletions as necessary. Thank you.
