Quant Science
Quant trader/educator discussing algorithmic strategies (e.g., time‑series momentum) and portfolio construction—advanced market methods adjacent to derivatives.
Investors Misinterpret the Efficient Frontier’s Real Meaning
There's a curve in finance that most investors get wrong. It's called the efficient frontier. Markowitz defined it in 1952. Most investors still don't understand what it means in practice. Here's what they get wrong:
Claude Turns Real Financial Analyst with Stock Data Server
Claude just became a financial analyst. Not metaphorically. Literally. MCP server for stock market data:
Free Deep Pairs Trading Strategy Threatens Hedge Funds
Hedge funds are worried. Stat arb is now available to the masses. Some guy just published the most in-depth pairs trading strategy I've ever seen. 100% free
Creator Launches Open-Source AI Hedge Fund for All
This guy made an AI Hedge Fund... Then open-sourced it for everyone to use. This is the story.
Volatility Strategies Open to Retail via Free PDF
Jane Street, AQR, Ren Tech... All use volatility. Retail was locked out... until now. A 327 page PDF was just released. For free:
Upgrade Your Trading: Switch From Excel to Python
Stop trading in Excel like it’s 2009. Start using Python + ChatGPT. Here's 7 small steps:
Master End-to-End Python Algo Trading: Roadmap, Skills, Tools
Build an End-to-End Python Algorithmic Trading System (complete roadmap + skills + tools) Bookmark this.
Python Reduces Portfolio Optimization to Four Lines
Stop trading with Excel. Start trading with Python. Portfolio optimization is literally 4 lines of Python code:
Inside Hedge Funds' Secret Method for Detecting Market Regimes
The secret hedge funds use to detect market regimes... A 37 page PDF reveals everything:
Build a Mini Hedge Fund Using Python Algorithms
How to create your own "mini" hedge fund with algorithmic trading and Python A thread 🧵
Build an Algo Trading Hedge Fund in Six Minutes
This guy literally explains how to build an algorithmic trading hedge fund from scratch in under 6 minutes. This is crazy:
