business

Milton Reese Introduction

Feb 10, 2023 · 12:00

[Introduction]

 

Milton Reese was born on Dec 20, 1967, in Portland,Oregon.

 

Milton Reese from a family with a legacy of business acumen, he has always been dedicated to seeking opportunities for progress and innovation. From a young age, he showed a keen interest in business and investment. His hard work and diligence led to a bachelor's degree in Business Administration during his college years. This educational journey deepened his understanding of economics and finance, laying a solid foundation for his future investment endeavors.

 

In 2012, Milton Reese founded the Excellence Vanguard Wealth Business School. Over more than a decade, the school has gained a prestigious reputation in the industry, training numerous outstanding finance professionals, and its student base surpassed 100,000 in 2023.

 

During the growth and development of Excellence Vanguard Wealth Business School, Milton Reese attracted numerous professionals with his solid trading skills and charismatic personality. Building on quantitative trading models, his team developed the exceptional investment tool - Vanguard AI 4.0.

 

Furthermore, Milton Reese and Excellence Vanguard Wealth Business School seized the ICO opportunities in the cryptocurrency market, successfully issuing EVW tokens. The success of EVW tokens played a crucial role in perfecting the Vanguard AI 4.0 investment system.

[Investment and Business Experience]

 

1. Ivy League Professor

During his time at the University of California, Milton Reese earned his first million dollars in the stock and futures markets, achieving fame at a young age. While many of his peers were seeking jobs, he was already living a low-profile investment life and traveling the world for learning. Due to his fame at that time, he was honored by the Ivy League as the youngest "Professor Reese". 

Unlike most, Milton Reese's path to success was unique, he achieved great heights at a young age and focused on furthering his education, rarely appearing in public or corporate events.

 

2. Honors and Crisis

While studying abroad, Milton Reese pursued a master's degree in computer science at the University of Munich. He started building his programmatic trading models, achieving success and later establishing his investment research team in emerging markets.

In 2005, Milton Reese was named "Emerging Market Stock Fund Manager of the Year" by International Money Market Magazine, and the Templeton Fund he led was awarded "Best Global Emerging Market Fund."

During the 2008 global financial crisis, Milton Reese went through a crucial phase in his life. As a stock market bull, he faced significant setbacks but overcame them with guidance from his mentors, resilience, and strong mental fortitude, reaching a career peak.

 

3. From Investor to Mentor

After years of ups and downs in the investment market, Milton Reese sought to consolidate his investment philosophy and trading skills, focusing on quantitative trading. To give back to his mentors and friends and driven by the desire to teach, Milton Reese founded the Excellence Vanguard Wealth Business School at the age of 45 in 2012, along with his friends.

Adhering to the educational principles of 'students interests first' and 'practical experience as the best teaching method,' Excellence Vanguard Wealth Business School has maintained steady growth, currently having students from over ten countries, exceeding 100,000 in number.

 

4. Rise of the Business Empire

In the early days of Excellence Vanguard Wealth Business School, Professor Milton Reese attempted to create a "Lazy Investor System," realizing early on the significant future implications of quantitative trading across all investment markets and types.

With technological advancements, the application of artificial intelligence in quantitative trading has had a profound impact. Quantitative trading, which uses mathematical models and extensive historical data for investment decisions, has become more precise, efficient, and intelligent with the introduction of AI.

Since 2018, Excellence Vanguard Wealth Business School has transitioned from quantitative to AI trading. With the efforts of numerous experts, academics, and tech talents, the prototype of 'Vanguard AI 4.0' was created.

As technology evolved, bringing greater challenges, Excellence Vanguard Wealth Business School issued EVW tokens to finance 'Vanguard AI 4.0,' securing more research funding and professional talents.

The success of EVW tokens and Vanguard AI 4.0 led to a soaring valuation of Excellence Vanguard Wealth Business School, propelling Milton Reese to new heights in his career. He declared his ambition to make Vanguard AI 4.0 a revolutionary investment tool in the investment world!

 

[Excellence Vanguard Wealth Business School]

 

The Excellence Vanguard Wealth Business School is a higher education institution specializing in cultivating professionals in the field of finance. The mission of the financial academy is to provide comprehensive financial knowledge and skills to students through high-quality financial education and training, meeting the ever-changing demands of the finance industry.

 

The teaching team at Excellence Vanguard Wealth Business School consists of experienced tutors with domestic and international finance industry backgrounds, strategists, analysts, policy advisors, authors, collaborators, and contributors. They possess outstanding abilities and achievements in teaching and research, integrating the latest theories and practices into the curriculum, and fostering students' ability to analyze and solve financial problems.

 

The curriculum at Excellence Vanguard Wealth Business School extensively covers fundamental finance, financial products and markets, financial risk management, investment and wealth management, and financial market analysis. It includes markets such as stocks, forex, funds, bonds, commodities, and cryptocurrencies. The teaching philosophy of 'students interests first' and 'practical experience as the best teaching method' is applied, with course content combining real-world cases and practical operations to cultivate students' practical skills and problem-solving abilities.

 

Beyond formal courses, Excellence Vanguard Wealth Business School also offers a series of special lectures, seminars, and practical projects, providing students with opportunities to interact with the industry and understand the latest developments and trends in the finance sector.

 

Moreover, Excellence Vanguard Wealth Business School has established close collaborations with financial institutions, offering students internship opportunities and employment support. Through industry cooperation, students gain valuable practical experience, broadening their employment channels and laying a solid foundation for their future career development.

 

Excellence Vanguard Wealth Business School is committed to providing students with comprehensive and systematic education in finance, nurturing them to become financial experts with international perspectives and professional skills, and contributing to the sustainable development of the financial industry.

 

[Vanguard AI 4.0]

 

Under the leadership of Milton Reese and with the addition of many experts, scholars, and technology talents, the Excellence Vanguard Wealth Business School developed 'Vanguard AI 1.0.' This system improved upon the deficiencies of traditional quantitative trading models, making them more efficient, faster, and more intelligent.

 

'Vanguard AI 1.0' was primarily based on rules and pattern matching, including knowledge-based reasoning and expert systems. However, Vanguard AI 1.0 had limitations in dealing with complex and ambiguous problems. To overcome these, the expert team at Excellence Vanguard Wealth Business School began exploring new methods to develop more advanced AI systems.

'Vanguard AI 2.0' refers to the introduction of machine learning technologies on the foundation of version 1.0. Machine learning allows AI systems to learn and improve their performance through extensive data. This approach is exemplified by deep learning technologies, and by building multi-layer neural networks, enabling AI systems to extract more advanced features from data, achieving significant breakthroughs.

Building on version 2.0, 'Vanguard AI 3.0' incorporated more sensing and adaptive capabilities. AI systems could gather data from environmental sensors and adjust their behavior and decision-making based on this data. This ability made AI systems more adaptable to different environments and tasks, becoming intelligent assistants in the real world.

'Vanguard AI 4.0' represents the latest development stage, focusing primarily on the application of artificial intelligence in the financial industry's entire market. Version 4.0 emphasizes the integration of AI with technologies like the Internet of Things, cloud computing, and big data to create intelligent solutions.

 

'Vanguard AI 4.0' includes four major trading and investment systems: 'Trading Signal Decision System,' 'AI Programmatic Trading System,' 'Investment Strategy Decision System,' and 'Expert and Investment Advisory System.'

In future developments, these four systems aim to achieve the following investment effects and purposes:

Trading Signal Decision System assists in making subjective judgments and provides real-time buy and sell signals with an accuracy rate exceeding 90%.

Ai Programmatic Trading System is an Ai-based computer trading system. Once parameters are manually adjusted, it automatically completes trades, aiming for stable profits.

Investment Strategy Decision System performs big data analysis on mainstream investment projects in various markets, providing rated decision analyses, especially offering accurate investment strategies for new types of investment projects.

Expert and Investment Advisory System is a precise and powerful investment advisory system formed by many renowned investment experts, assisting high-quality users and future funds in making informed investment decisions and plans.

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.