Larry Cao
Data Anomaly Lead
Hong Kong Island, Hong Kong, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolLarry Cao is a Data Anomaly Lead and developer with nine years of experience building data-driven systems for crypto and finance, holding a Master's in Data Science from HKU. He designs multi-strategy quantitative trading systems and a momentum portfolio that backtests to a Sharpe ratio above 5, and has shipped high-coverage data exporters and monitors for DEXes and lending protocols across Ethereum and bridges. His background in NLP and machine learning includes raising NER F1 to 91% and implementing dynamic entity linking for economic indicators, reflecting strong applied research to production skills. At Santiment he translated complex on-chain liquidity and liquidation signals into reliable pipelines covering over 90% of relevant volumes, and he’s delivered technical seminars on AMMs and Uniswap v3. Based in Hong Kong with UK ties, he pairs quantitative rigor with practical engineering chops—and is, less obviously, a former local CSGO top player, hinting at competitive focus and quick decision-making.
9 years of coding experience
6 years of employment as a software developer
The University of Hong Kong (HKU)Bachelor's degree Computer Science, Bachelor's degree Computer Science at City University of Hong Kong
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
trading9
backtesting9
backtesting-trading-strategies9
python8
metaclass8
finance8
cryptocurrency8
trading-systems8
trading-algorithms8
trading-bot7
algorithmic-trading7
nextjs5
sec1
quantitative1
risk-management1
Programming languages (4)
Github contributions (5)
santiment/bridge
Mar 2023 - May 2024
Contributions:6 reviews, 27 PRs, 51 pushes in 1 year 2 months
createMonster/Multi-Strategy-Quant-System
Feb 2023 - Mar 2024
This is a Python-based repository for a multi-strategy quant system. It provides a framework for implementing and testing various quantitative trading strategies on financial time series data, and can be used to generate buy/sell signals based on the outputs of those strategies.
Contributions:14 PRs, 33 pushes, 13 branches in 1 year 1 month
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