Hongzhang Liu
Software Engineer at Tencent
China
Summary
🤩
Rockstar🎓
Top SchoolHongzhang Liu is a software engineer with 11 years of experience, currently contributing at Tencent and with prior engineering experience at Moody's Analytics. He focuses on back-end systems and data processing, notably contributing to the popular rqalpha open-source Python backtesting framework by implementing a local data store, data source/proxy classes, and timezone-aware financial data retrieval using bcolz and pandas. His work reveals strong practical skills in handling financial instruments, dividends, and time-series data for algorithmic trading contexts. Trained in engineering at Tsinghua University, he combines rigorous technical discipline with a pragmatic approach to building reliable data infrastructure. An underappreciated strength is his ability to bridge domain knowledge in finance with low-level data engineering to make complex backtesting systems robust and extensible.
11 years of coding experience
2 years of employment as a software developer
Bachelor Automobile Engineering, Bachelor Automobile Engineering at Tsinghua University
Github Skills (6)
finance10
pandas10
back-end-development10
python10
financial-data10
data-processing10
Programming languages (8)
Github contributions (5)
ricequant/rqalpha
Jul 2016 - Jun 2020
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Role in this project:
Back-end Developer
Back-end DeveloperContributions:371 commits, 12 PRs, 256 pushes in 4 years
Contributions summary:Hongzhang contributed significantly to the development of a local data store for the rqalpha project. The commits focused on creating a data source class and a data proxy class, implementing methods for accessing and retrieving financial data, and incorporating time zone handling. The contributions demonstrate the user's ability to work with bcolz, pandas, and other libraries for data storage and retrieval within a financial backtesting and trading framework. The integration of components like instruments and dividends reveals focus on financial data processing.
pythonta-libstockquantfinance
hzliu/httpcore
Jul 2020 - May 2021
A minimal HTTP client. ⚙️
Contributions:2 PRs, 3 pushes, 1 branch in 9 months
http-clienthttp-server
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