Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.
-
Updated
May 11, 2026 - Rust
Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.
众人的因子回测框架 stock factor test
An Agentic AI Framework for Empirical Research in Quantitative Finance
Research-reproduction Agent: PDF → factor code → backtest → Red Team → reproducibility score. Part of the alpha-kit stack.
Chill quant research for people who don't speak Python. Ask in Chinese, get backtests.
Quant event study of insider purchase signals using forward returns and equity curves.
ARCHIVED: consolidated into active governed analytics and regulated workflow repositories.
Reproducible computational finance research pipeline with typed config, CI, backtesting, ML, portfolio optimization, and leakage-aware validation.
📈 Implement algorithms for quantitative finance and algorithmic trading with py-alpha-lib, designed for efficient financial data analysis and rolling window calculations.
Add a description, image, and links to the factor-research topic page so that developers can more easily learn about it.
To associate your repository with the factor-research topic, visit your repo's landing page and select "manage topics."