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Machine Learning Quant Strategies using clustering to identify similar risk and return characteristics

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Algorithmic-Trading-Unsupervised-and-clustering-methods

Machine Learning Quant Strategies using clustering to identify similar risk and return characteristics.

  • Unsupervised Learning Trading Strategy -
  • Download/Load NIFTY50 stocks prices data.
  • Calculate different features and indicators on each stock.
  • Calculate Monthly Returns for different time-horizons.
  • Download Fama-French Factors and Calculate Rolling Factor Betas.
  • For each month fit a Clustering Algorithm to group similar assets based on their features.
  • For each month select assets based on the cluster and form a portfolio based on Efficient Frontier max sharpe ratio optimization.
  • Visualize Portfolio returns and compare to NIFTY50 returns.

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