PyQuant News
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 | 53 | Founded | a year ago | Last Issue | 7 days ago |
| Active | |||||
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pyquantnews.substack.comLatest Issues
🔬 Your Monthly Alpha Lab Deep Dive
A trend-following strategy that rotates into the top-performing country ETFs based on 6-month price momentum, capturing persistent cross-country momentum effects.
Welcome to your monthly Alpha Lab deep dive.
🐍 How hedge funds engineer factors
Use pandas and TA-Lib to score volatility against future returns.
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 Pyt...
🐍 Machine learning for market data analysis
Use scikit-learn to group the 30 Dow stocks instead.
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 code note...
🐍 How to use the Calmar ratio for futures trading
Ten lines of NumPy rank two futures portfolios by risk-adjusted return.
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 t...
🐍 Score the ranking, not returns
Use AlphaLens to measure whether your stock ranks predicted next week's moves.
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 a...
Key Facts
Audience Metrics
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| Subscribers | Engagement | 73 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
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How this newsletter ranks in the official Substack charts.
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Authors
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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