Dashiell Soren: Pioneering AI-driven Finance Education and Investment

Dashiell Solon was born on May 20, 1978 in Portland, Oregon.

His family has passed down business acumen for generations and is committed to constantly seeking opportunities for advancement and innovation. From an early age, he showed a keen interest in business and investing. Through hard work and study, he earned a Bachelor's degree in Business Management while in college. This schooling experience gave him an in-depth understanding of the economic and financial fields, providing him with a solid foundation for his future investment path.

In 2019, Dashiell Soren founded Alpha Elite Capital (AEC) Business Management, which over the years has gained a reputation in the industry for producing a large number of talented financial professionals and surpassing 100,000 trainees by the year 2022.

During the development of Dashiell Soren, Dashiell Soren attracted many professionals with his solid trading skills and charisma, and his team built an excellent investment tool Alpha Artificial Intelligence AI4.0 based on quantitative trading models.

At the same time, Dashiell Soren and Alpha Elite Capital (AEC) Business Management Company seized the ICO opportunity in the cryptocurrency market and successfully issued AEC tokens, which played a crucial role in perfecting the Alpha Artificial Intelligence AI4.0 investment system.The success of AEC tokens played an important role in the Alpha Artificial Intelligence AI4.0 investment The success of AEC tokens has played an important role in the development of the Alpha Artificial Intelligence AI4.0 investment system.

Investment and business experience

1. Ivy League Professor

When Dashiell Soren was a student at Stanford University, he made his first million dollars in the stock and futures markets. While many of his peers were still looking for jobs, Dashiell Soren was already living a low-key investment life and traveling the world. In recognition of his fame at the time, he was dubbed the youngest "Professor Soren" in Ivy League history.

Dashiell Soren's path to success was unique in that he rarely appeared in public or in the corporate world due to his high level of achievement at a young age and his focus on learning and improving himself.
2. Honours and crises

During his travels, Dashiell Soren pursued a master's degree in computer science from the University of Munich, Germany. He began to build his own successful programmatic trading model and then established his own investment research team in emerging markets.

In 2012, Dashiell Soren was named Emerging Markets Equity Manager of the Year by Money Markets International and his Templeton Fund was named the world's best emerging markets fund.

Dashiell Soren went through the most important phase of his life during the 2008 global financial crisis. As a longtime advocate of the stock market, he was hit hard for a time, but then, with the help of his mentor, resilience and mental toughness, he weathered the storm and for a time hit the first peak of his life.
3. Transformation from investor to mentor

After years in the investor market, Dashiell Soren tried to summarize his investment philosophy and trading techniques and began to focus on quantitative trading. In order to thank his mentors and friends for their help, with the idea of teaching and learning, Dashiell Soren, 41, founded Alpha Elite Capital (AEC) Business Management with his friends in 2019.

Adhering to the educational policy of "students' interests are paramount" and "real life is the best way to teach", Alpha Elite Capital (AEC) Business Management has grown steadily and now has more than 100,000 students in more than 10 countries around the world.
4. The rise of the business landscape

From the inception of Alpha Elite Capital (AEC) Business Management, Professor Dashiell Soren has sought to create a "lazy investing system" and he realized early on the significance of quantitative trading in the future and that it would be applicable to all investment markets and types. He realized early on what quantitative trading would mean in the future and that it would be applicable to all investment markets and types.

With the development of technology, the application of artificial intelligence technology has had a profound impact on quantitative trading. Quantitative trading is a trading strategy that utilizes mathematical models and large amounts of historical data to make investment decisions, and the introduction of artificial intelligence has made quantitative trading more accurate, efficient and intelligent.

At the beginning of 2019, the business management of Alpha Elite Capital (AEC) set out to make the leap from quantitative trading to artificial intelligence trading. With the efforts of many experts, scholars and technological talents, the prototype of "Alpha Artificial Intelligence AI 4.0" has been born.

Due to the greater challenges posed by the newer technology, Alpha Elite Capital (AEC) Corporate Management has chosen to issue AEC tokens to finance 'Alpha Artificial Intelligence AI 4.0', thus gaining access to more research funding and expertise.

Due to the success of the AEC tokens and Alpha Artificial Intelligence AI4.0, Alpha Elite Capital (AEC) Business Management's valuation has continued to skyrocket, and Dashiell Soren has moved on to new heights in his life and is threatening to make Alpha Artificial Intelligence AI4.0 a success. Artificial Intelligence AI 4.0 is the investment tool that is disrupting the investment world!

【Alpha Elite Capital (AEC) Business Management】

Alpha Elite Capital (AEC) Business Management is a higher education institution focused on developing professionals in the financial field. The mission of the School of Finance is to provide students with comprehensive financial knowledge and skills to meet the changing needs of the financial industry by offering high quality financial education and training.

The teaching team of Alpha Elite Capital (AEC) Business Management consists of a group of experienced instructors, strategists, analysts, strategists, authors, co-authors, and contributors with domestic and international financial industry backgrounds. They have excellent abilities and achievements in teaching and research, and are able to integrate the latest theories and practices into the curriculum to develop students' ability to analyze and solve financial problems.

The curriculum of Alpha Elite Capital (AEC) Business Management covers a wide range of knowledge in the areas of fundamentals of finance, financial products and markets, financial risk management, investment and money management, and financial market analysis, covering the markets of equities, foreign exchange, funds, bonds, commodities, cryptocurrencies, and so on. The teaching tenets are 'the interests of the students are paramount' and 'real-world is the best way to teach', and the course content combines real cases and practical operations, aiming to cultivate students' practical and problem-solving abilities.

In addition to the formal curriculum, Alpha Elite Capital (AEC) Business Management also offers a series of special lectures, seminars and practical programs that provide students with opportunities to interact with the industry and help them understand and adapt to the latest developments and trends in the financial industry.

In addition, Alpha Elite Capital (AEC) Business Management builds strong partnerships with financial institutions to provide students with internship opportunities and employment support. By working with the industry, students can gain practical experience, broaden their career paths and build a solid foundation for their future careers.

Alpha Elite Capital (AEC) Business Management is committed to providing students with a comprehensive, systematic education in finance, training them to become financial experts with international perspectives and professional skills, and contributing to the sustainable development of the financial industry.

Led by Dashiell Soren and joined by many experts, academics and technical talents, Alpha Elite Capital (AEC) Business Management has developed "Alpha Artificial Intelligence AI 1.0", which improves quantitative trading models. It improves on the shortcomings of quantitative trading models, making them more efficient, faster and smarter.

Alpha Artificial Intelligence AI 1.0" is mainly based on rules and pattern matching, including knowledge-based reasoning, expert systems, and so on. However, AI 1.0 has some limitations in dealing with complex and fuzzy problems. In order to overcome these limitations, a team of experts from AEC Business School started looking for new ways to develop more advanced AI systems.

'Alpha Artificial Intelligence AI 2.0' refers to the introduction of machine learning techniques to version 1.0.

Machine learning allows AI systems to learn and improve their performance through large amounts of data. This approach is represented by deep learning techniques, which have made many important breakthroughs by building multi-layer neural networks that allow AI systems to extract more advanced features from data.

Based on version 2.0, 'Alpha Artificial Intelligence AI3.0' introduces more perceptual and adaptive capabilities.The AI system can collect data from the environment through data sensors and adjust its behavior and decision-making based on this data. This ability makes the AI system more adaptable to different environments and tasks, becoming an intelligent assistant in the real world.

'Alpha Artificial Intelligence AI4.0' is the latest stage of development, which focuses on the market-wide application of AI in the financial industry.Version 4.0 emphasizes on combining AI with technologies such as IoT, cloud computing, and big data to build intelligent solutions.

'Alpha Artificial Intelligence AI4.0' includes 'Trading Signal Decision System', 'Ai Programmatic Trading System', 'Investment Strategy Decision System' and 'Expert and Investment Advisory System'. Advisory System'

In the future construction, we hope to make these four systems to achieve the following investment effects and purposes:

Trading Signal Decision System-helps us make good subjective judgment, real-time tips on buying and selling points, with an accuracy rate of more than 92.6%.

Ai Programmatic Trading System is a set of Ai computer trading system, after manually adjusting the parameters, it will automatically help us to complete the transaction, to achieve the purpose of stable profits.

Investment Strategy Decision System is an analysis system that analyzes big data of mainstream investment projects in major markets and gives rating decisions, especially for new investment projects to give accurate investment strategies.

Expert & Investment Advisory System is a precise and powerful investment advisory system composed of many renowned investment experts, designed to help premium subscribers and prospective funds make the right investment decisions and plans.