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Aug 7, 2025
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dotnet add package StockSharp.Strategies.0404_Time_Series_Momentum.py --version 5.0.0

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README

Time Series Momentum (Python Version)

This approach goes long or short each asset based on its own past returns. If the trailing return is positive the model buys; if negative it sells, forming a diversified trend‑following portfolio.

Signals are evaluated monthly using one‑year lookbacks and positions are equally weighted across assets.

Details

  • Data: Monthly total returns for each asset.
  • Entry: Long when 12‑month return > 0; short when < 0.
  • Exit: Reverse when the signal changes sign.
  • Instruments: Broad set of futures or ETFs.
  • Risk: Volatility scaling and diversification.

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