◆ Constructed an asynchronous trading system, which led to utilising novel machine learning models to do high-frequency trading (HFT) in the largest cryptocurrency market, implementing low-latency trading logic, and offering well-designed logging and alert mechanism. ◆ Conducted trading model documents, offering some insights in both the design of the reinforcement learning models and the mechanism of the financial market.

◆ Established the business models for this fresh but advanced platform by in-depth comprehensions of partners and customers, which led to unveiling the profitable opportunities of this project, balancing the profit shares among cooperating companies, and minimising risk exposure of our company ◆ Devised statistic methods and novel quantitative models by Go, Python and R, offering unique trading indicators to our customers and compiling the advantages of our partners ◆ Conducted academic research and daily market report, convincing more Securities and Futures companies to join our platform and enhancing the platform with more potential features ◆ Managed and secured customer data by MariaDB and Unix-like operating systems, which led to discovering the potential demand from using behaviours of our users and protecting user data ◆ Crawled over 50 different data sources from the worldwide by operating customised crawling robots, offering the newest financial data and presenting distinct mathematical indicators to investors

◆ Constructed various quantitative models including the Black-Scholes-Merton model, binomial tree and derivatives models by C++, providing over 30 different pricing models to the company ◆ Solved connecting problems among different computing languages and database languages, which led to utilising C++ library in Python and building the connecting interface of C++ to MongoDB