Roger Chen

Roger Chen

Quantitative Trading Intern @ President Securities Corp | M.S. student @ NCCU

About Me

I am a passionate quantitative researcher with a deep interest in systematic trading strategies and factor investing. Currently pursuing my Master's degree in Finance at National Chengchi University, I focus on developing and optimizing multi-factor investment strategies for the Taiwan equity market.

My research interests lie at the intersection of quantitative finance and data science, with a particular emphasis on factor investing, machine learning applications, and market microstructure analysis. Through my academic work and internships, I've developed a comprehensive understanding of various market phenomena and their implications for systematic trading strategies.

My professional journey includes diverse quantitative research experiences across multiple firms:

  • SQM Technologies - Developed factor-based strategies and machine learning models for equity trading
  • President Securities Corp - Utilizing Machine Learning Model to Determine Asset Strength and Weakness.
  • MBQ - Research index enhancement strategies and monitor signals to report to investors
  • EDGE Quantitative Trading - Developed futures trading strategies and backtesting frameworks
  • TEJ - Built quantitative analysis tools and factor research platforms
  • Crypto Arsenal - Researching cryptocurrency CTA strategies and optimizing backtesting to develop strategies deployable on exchanges.

Beyond individual research, I actively contribute to the quantitative finance community:

  • Lead Researcher at Jams Capital Portfolio Management Team, focusing on systematic strategy development
  • Mentor at TMBA Algorithm Trading Team, guiding strategy research and implementation
  • Regular contributor to quantitative research publications and academic discussions

Core Competencies:

  • Systematic Trading Strategy Development
  • Factor Research and Portfolio Construction
  • Machine Learning in Financial Markets
  • Market Microstructure Analysis
  • Alternative Data Research
  • Risk Management and Portfolio Optimization

My career objective is to become a distinguished Quantitative Researcher and Trader, combining rigorous academic research with practical trading implementation. I am particularly interested in roles that allow me to develop innovative systematic trading strategies while contributing to the advancement of quantitative finance methodologies.

Projects

交易策略

合成雙動能策略

結合絕對動能和相對動能的資產配置策略,通過比較不同資產類別的動能表現來優化投資組合。

Python Momentum Asset Allocation Portfolio Optimization

CB-Hedge 日內放空策略

基於 CatBoost 機器學習模型合成因子的日內放空策略,結合多個技術指標和市場情緒因子。

Python CatBoost Intraday Trading Machine Learning

因子挖掘系統

基於遺傳演算法的多因子選股策略研究,整合價量資料和財報資料。

Python Genetic Algorithm

台灣100指數增強策略

針對台灣前100大市值股票開發的指數增強策略,結合基本面以及價量因子。

Python Value Investing Index Enhancement

研報復現 - 擇時

RSRS 市場擇時

基於阻力支撐相對強度(RSRS)的市場擇時策略。

Python Market Timing Technical Analysis

LLT 斜率反轉擇時

基於低延遲趨勢線(LLT)的斜率反轉擇時策略。

Python Trend Following Technical Analysis

ICU 擇時研究

基於ICU指標的市場擇時策略研究,結合多個技術指標進行市場狀態判斷。

Python Market Regime Technical Analysis

波動率與換手率擇時

基於波動率和換手率的市場擇時策略,研究市場情緒與價格波動的關係。

Python Volatility Market Sentiment

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