ABOUT ME

「真正穩健的策略，往往遵循奧卡姆剃刀定律。而我的專長，正是在簡潔的基礎上，創造畫龍點睛的 alpha。」

我是台北科技大學碩士班學生，目前於我愛交易實驗室進行量化交易研究，指導教授為吳牧恩教授。研究聚焦於策略開發、資金管理與多策略投資組合建構，主要運用 Python 進行金融資料分析與策略回測，致力於打造經得起實證驗證、資產曲線穩健的投資模型與交易策略。

平時也會撰寫論文導讀與研究報告，將金融市場與量化模型相關的學術研究轉化為具實務價值的應用，並樂於與同好交流、分享策略與失敗的心得。期望未來能持續精進資料分析與金融工程能力，投入於策略開發、風險管理或市場研究等領域，在我熱愛的金融產業中創造有意義而深遠的影響力。

Truly robust strategies often adhere to the principle of Occam's Razor. My specialty is creating that "masterstroke" of alpha upon a foundation of simplicity.

I am a master's student at National Taipei University of Technology, specializing in quantitative trading at the iLoveTradingLab under the guidance of Professor Mu-En Wu. My research centers on quantitative strategy development, risk and money management, and the construction of multi-strategy portfolios. I leverage Python for financial data analysis and strategy backtesting, with the objective of building robust trading models that deliver stable and consistent equity growth.

Beyond my core research, I regularly produce literature reviews and research reports, translating academic findings in financial markets and quantitative modeling into practical, real-world applications. I am passionate about exchanging insights, sharing strategies, and discussing lessons learned from failures with fellow enthusiasts.

Looking forward, I am dedicated to advancing my expertise in data analysis and financial engineering. I am eager to contribute to the fields of strategy development, risk management, or market research, and to make a meaningful and lasting impact within the financial industry.