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Data products, market research tooling, and quantitative trading frameworks.

FactorModeling

live

A quantitative equity factor research framework in Python with reusable factor operators, rolling factor selection (ICIR, momentum, and MVO), composite-factor construction, and long/short portfolio simulation with turnover and transaction-cost controls.

Python
Pandas
NumPy
CVXPY
Statsmodels
Jupyter

Includes multi-manager backtesting and a performance analyzer for annualized return, drawdown, Sharpe/Sortino, turnover, and leg attribution.