Get a step-by-step Python tutorial for algorithmic trading, market data analysis, and derivatives pricing — delivered free every Saturday. 5 minutes to read. Copy-paste ready.
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Each tutorial walks through a complete implementation: GARCH volatility models, momentum factor backtests, options Greeks with QuantLib, data pipelines with yfinance and pandas. Code you can copy, paste, and run.
Written by a quant with 20+ years of trading experience at firms like J.P. Morgan and a global hedge fund. No CS theory. No toy examples. Every tutorial solves a problem working quants actually face.
Problem → setup → implementation → results → next steps. Structured so you can read it over coffee and have working code by the time you finish.
Every Thursday, you get a structured Python tutorial with real quant finance code. Here’s what a typical issue looks like — complete with setup instructions, working code, and results you can reproduce.
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The most important newsletter in the Python quant space — subscribers get a master’s degree level tutorial every week.
John Fawcett
Founder & CEO, Quantopian
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I went from zero Python to deploying my first momentum strategy in three months, entirely from following these tutorials.
Tim W.
Independent Trader
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The Thursday email is the only newsletter I actually look forward to. Every issue gives me something I can use at work on over the weekend.
Alex Williamson
Portfolio Analyst
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