- 4 – LES MOËRES (2019)
- Ask HN: What programming skills are required by HFT or Trading firms (2020)
- HFT in My Backyard (2014) (HN)
- Machine Learning for Trading - Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading.
- Surpriver - Find High Moving Stocks before they Move.
- TA-Lib - Technical Analysis Library. (Python wrapper)
- Timekeeping in Financial Exchanges (2020) (HN)
- TF Quant Finance - TensorFlow based Quant Finance Library. (HN)
- Quantopian - Place For Learning Quant Finance. (GitHub)
- We chose Java for our High-Frequency Trading application (2020) (HN)
- Tradytics - Artificial Intelligence Driven Trading.
- Zipline - Pythonic algorithmic trading library. (Docs)
- GS Quant - Python toolkit for quantitative finance.
- findatapy - Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
- Cuemacro - On understanding macro markets from a quantitative perspective, in particular currency markets. (GitHub)
- Bayesian Portfolio Optimization - A Stationary Process
- OpenTrade - Open source OEMS, and algorithmic trading platform, designed for simplicity, flexibility and performance.
- Riskfolio-Lib - Library for making quantitative strategic asset allocation or portfolio optimization in Python.
- Lean Engine - Open-source algorithmic trading engine built for easy strategy research, backtesting and live trading.
- Offline Algorithms in Low-Frequency Trading (2021) (HN)
- AMA With a Hedge Fund Employee (2021)
- Optiver - Trading firm.
- Quant-Trading - Python quantitative trading strategies.
- An Intern’s Guide to Trading (2021) (HN)
- finmarketpy - Python library for backtesting trading strategies & analyzing financial markets.
- Alphakit - Framework for developing sound algorithmic trading strategies in the Go language.