- Age: 42 years
- Trading Experience:
- David has over 20 years of trading experience in both cryptocurrency and traditional financial markets. His career began at Morgan Stanley, focusing on high-frequency trading and market microstructure analysis. Through a deep understanding of market data, he developed various efficient trading algorithms.
- In 2015, he shifted to the cryptocurrency market, quickly adapting to this rapidly evolving field. He participated in the algorithm development for several large trading platforms and has won multiple international trading competitions, notably the "Global Quantitative Trading Championship" in 2016.
- At TETX, David is responsible for designing and implementing high-frequency trading strategies, utilizing advanced technology to maximize trading efficiency and help the company maintain a competitive edge in the market. He also actively participates in internal technology innovation projects.
- Honors:
- 2015: Won the "International Quantitative Trading Challenge" for his unique trading strategies and risk management methods.
- 2019: Named "Best Algorithmic Trader" for his innovation and leadership in algorithmic trading.
- 2020: His research paper was selected as "Best Paper of the Year" and presented at an international finance conference, further enhancing his industry reputation.
- Life Path:
- David graduated from Stanford University with a degree in Computer Science. He has worked at Nasdaq and Morgan Stanley, accumulating extensive trading experience. In 2016, he transitioned to the cryptocurrency sector, becoming TETX's Chief Algorithmic Trader, driving innovation in high-frequency trading.