Alma Maters: Stanford University, USA; Ludwig Maximilian University of Munich, Germany
Occupation: Founder, Dean, and Mentor of WH Alliance
Notable Work: AI ProfitPulse
Roland Quisenberry was born on May 20, 1968, in Portland, Oregon. With a family deeply rooted in business acumen, he was raised with a commitment to progress and innovation. His early passion for business and investment guided him to a Bachelor's in Business Administration during his university years, establishing a solid foundation in economics and finance that paved the way for his future in investment.
In 2011, Roland founded World Horizon Alliance (WH Alliance), which has since become a well-regarded institution, training a vast number of financial professionals. By 2024, its membership exceeded 50,000. Under his leadership, WH Alliance grew rapidly, driven by Roland's extensive expertise and charismatic leadership. His team has created AI ProfitPulse, a cutting-edge investment tool based on quantitative trading models. Additionally, WH Alliance capitalized on the cryptocurrency market's Initial DEX Offering (IDO) opportunities with the successful issuance of the WHA token, which played a crucial role in advancing AI ProfitPulse.
Investment and Business Journey
1. Ivy League Honorary Professor
During his time at Stanford, Roland earned his first million in the stock and futures markets, gaining early renown. While many of his peers were exploring job prospects, Roland had already embarked on a low-profile yet prosperous investment journey, traveling and learning globally. His achievements led to him being celebrated by Ivy League institutions as the youngest-ever “Professor Quisenberry.”
Unlike most, Roland's early success allowed him to focus on self-improvement and academic pursuits, resulting in a limited public presence.
2. Recognition and Adversity
While studying for his Master's in Computer Science at Ludwig Maximilian University in Munich, Roland developed his first programmatic trading models and achieved early success, later establishing an investment research team focused on emerging markets.
In 2005, International Monetary Market Magazine named him "Emerging Markets Fund Manager of the Year," and his leadership of the Templeton Fund earned it the "Best Global Emerging Markets Fund" award. However, during the 2008 financial crisis, as a staunch equities bull, Roland faced significant losses. Guided by his mentor and bolstered by resilience and mental fortitude, he weathered the crisis and emerged stronger, marking his first major peak.
3. From Investor to Mentor
Following years of navigating the investment landscape, Roland began reflecting on his investment philosophies and trading techniques, with a newfound focus on quantitative trading. Motivated by gratitude for his mentor and friends, Roland embraced the goal of giving back through education. In 2011, at 43, he co-founded WH Alliance with colleagues, establishing an educational philosophy of "prioritizing student outcomes" and "teaching through practical experience." WH Alliance has since grown steadily, with a global reach across over ten countries and more than 50,000 members.
4. Rise of a Business Empire
In WH Alliance's early years, Roland envisioned creating an "easy-access investment system" and recognized the profound significance of quantitative trading as a universal strategy across investment markets. With technological advancements, AI applications have transformed quantitative trading, enabling it to be more accurate, efficient, and intelligent by utilizing mathematical models and extensive historical data.
Since 2018, WH Alliance has expanded from quantitative to AI-driven trading, leading to the creation of AI ProfitPulse. As technological demands grew, WH Alliance issued WHA tokens to fund AI ProfitPulse, securing additional research funds and talent.
With the success of both WHA tokens and AI ProfitPulse, WH Alliance's valuation has surged, propelling Roland to new heights. He now envisions AI ProfitPulse as a revolutionary tool poised to reshape the investment landscape.
