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R&D Expenditures Strategy (Python)

Published
Aug 7, 2025
1y ago
Total Downloads
705
705

Install

dotnet add package StockSharp.Strategies.0390_RDExpenditures.py --version 5.0.0

No framework information available.

README

R&D Expenditures Strategy (Python Version)

This cross-sectional strategy ranks stocks by their ratio of research-and-development (R&D) expenses to market value. At the start of each month the top quintile of firms with the highest R&D intensity is bought while the bottom quintile is sold short, betting that heavy R&D spending predicts future outperformance.

Weights are assigned equally within each side and rebalanced monthly using daily price data.

Details

  • Universe: list of stocks with R&D data.
  • Signal: R&D expenditures divided by market capitalization.
  • Portfolio: long highest quintile, short lowest quintile.
  • Rebalance: monthly.
  • Risk control: trades skipped when order value below MinTradeUsd.

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