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HowaiMak/README.md

Hi there πŸ‘‹

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πŸš€ About Me

A quantitative researcher and data scientist with expertise in the end-to-end development of machine learning-driven trading strategies. Proficient in deriving predictive signals and building statistical models in Python, C++, and R. Proven track record in alpha research, data processing, model tuning, and implementation for both cross-sectional and time-series approach. Let's connect to discuss opportunities in quantitative finance.

  • πŸ”­ Current Project: Building an Automated Trading System
  • 🌱 Learning: Machine Learning Models, Deep Learning application on buyside
  • 🀝 Seeking Collaboration: Alpha Factor Index-enhancing Strategy, Statistical Arbitrage Strategy
  • πŸ’¬ Ask Me About: Python, C++, SQL, Linux or Mathematical Modeling

πŸ› οΈ Tech Stack

Languages

Python C++ Bash R SQLite

DevOps & Tools

Linux VS Code Docker Git

⭐️ From HowaiMak

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  1. HFT-100-Scandi-BlueChip HFT-100-Scandi-BlueChip Public

    HFT Activities of 100 Scandinavian Blue Chip Stock Across 4 Days

    C++

  2. JPMC-Quantitative-Research JPMC-Quantitative-Research Public

    JP Morgan Chase & Co. Quantitative Research Simulation Program via Forage

    Jupyter Notebook

  3. UofG-LHC-ATLAS-bjets UofG-LHC-ATLAS-bjets Public

    University of Glasgow, Theoretical Phyiscs Graduation Project

    C++

  4. UofG-Double-Pendulum UofG-Double-Pendulum Public

    University of Glasgow - Theoretical Physics Year 3 Group Project

    Jupyter Notebook

  5. my-bayes-xrpl my-bayes-xrpl Public

    XRPL transaction network and BAYES token creation

    Python