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Start using Python for algorithmic trading, market data analysis, agentic AI, and quant finance (even if you've never coded before).

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🐍 How to use the Calmar ratio for futures trading

Ten lines of NumPy rank two futures portfolios by risk-adjusted return.

🐍 Score the ranking, not returns

Use AlphaLens to measure whether your stock ranks predicted next week's moves.

🐍 Momentum strategies work (because of people)

Build a stock ranking and rebalancing strategy with Zipline in Python.

🔬 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.

🐍 Build your own volatility targeting portfolio

Use Riskfolio-Lib to size positions by risk contribution.

🐍 1,000,000 backtest simulations in 20 seconds

Use vectorbt walk-forward optimization to test strategies on unseen data.

🐍 Build your own market data analytics app in 5 minutes

Build an interactive market data app with Streamlit in 50 lines of Python.

🐍 Stop pricing American options wrong

Implement the Cox-Ross-Rubinstein binomial tree model step by step in Python.

🔬 Your Monthly Alpha Lab Deep Dive

A mean-reversion strategy that buys recent losers among large-cap stocks, expecting short-term price corrections to generate alpha.

🐍 Bandpass filters for forex trading

Isolate EUR/USD price cycles with scipy and the Hilbert Transform.