
Start using Python for algorithmic trading, market data analysis, agentic AI, and quant finance (even if you've never coded before).
| Platform | Pricing | Freemium | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 60 | Founded | a year ago | Last Issue | 7 days ago |
| Active | |||||

Pull AAPL option prices with OpenBB and chart the payoff in NumPy.
Each week, I send out one Python tutorial to help you get started with algorithmic trading, market data analysis, and quant finance. Upgrade to a paid plan to access the Py...
Measure downside deviation for AAPL with about ten lines of NumPy.
Each week, I send out one Python tutorial to help you get started with algorithmic trading, market data analysis, and quant finance. Upgrade to a paid plan to access the Py...
A contrarian strategy that exploits the tendency of country equity markets to revert toward long-term equilibrium values by going long recent losers and short recent winners.
Welcome to your monthly Alpha Lab deep dive.
Use PyPortfolioOpt to blend your return forecasts with market expectations.
Each week, I send out one Python tutorial to help you get started with algorithmic trading, market data analysis, and quant finance. Upgrade to a paid plan to acce...
Why Polars is becoming the best tool for market data analysis
Each week, I send out one Python tutorial to help you get started with algorithmic trading, market data analysis, and quant finance. Upgrade to a paid plan to access the Python...
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The writers behind this newsletter.
Where finance practitioners and beginners get started with Python for quant finance, algorithmic trading, and data analysis.
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