Hun's Blog

Studying quantitative finance through statistics and machine learning.

I use this site for project notes, course notes, research logs, and concise writeups on quantitative finance, time series, reinforcement learning, and ML systems.

Recent posts

Writing

RL Policy Gradient Method

Reinforcement learning notes focused on policy-gradient intuition, notation, and implementation details.

Machine Learning on Apple Stock Daily Return

Project notes applying machine-learning methods to financial return data and model comparison.

Trading Using Machine Learning in Trading and Finance

Course notes on ML in trading, feature construction, model evaluation, and finance applications.

Focus

Research Interests

Statistical Learning

Model evaluation, forecasting, diagnostics, and robust inference for applied research.

ML Systems

Reproducible pipelines, experiment tracking, data quality checks, and deployment workflows.

Quantitative Modeling

Forecasting, risk measurement, stress testing, and finance-oriented analytics.

Selected work

Project Notes

2026

Online Covariance and Distribution-Free Learning

Simulation and manuscript work around covariance estimation and empirical validation.

2025

IBM Machine Learning Notes

Archived notes on regression, clustering, PCA, RNNs, GANs, and reinforcement learning.

2024

Finance and Time Series Experiments

Forecasting notebooks and decision-support views for market and macro data.

Contact

Open to research conversations and technical collaboration.