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 | 49 | Founded | a year ago | Last Issue | 8 days ago |
| Active | |||||
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🐍 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...
🐍 Momentum strategies work (because of people)
Build a stock ranking and rebalancing strategy with Zipline in Python.
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 th...
🔬 Your Monthly Alpha Lab Deep Dive
A classic long/short momentum strategy that captures the persistence of stock returns by buying past winners and selling past losers.
Welcome to your monthly Alpha Lab deep dive.
🐍 Build your own volatility targeting portfolio
Use Riskfolio-Lib to size positions by risk contribution.
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...
🐍 1,000,000 backtest simulations in 20 seconds
Use vectorbt walk-forward optimization to test strategies on unseen data.
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...
Key Facts
Audience Metrics
Subscribers, engagement, traffic and sponsorship for PyQuant News.
| Subscribers | Engagement | 73 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
Chart Rankings
How this newsletter ranks in the official Substack charts.
| #179 | |
| #126 |
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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