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Diet

There are many interesting optimization problems in finance, including: portfolio optimization, risk management, option pricing, and investment decision support.

Portfolio optimization in CVXPY

Portfolio optimization in CVXPY

Key features of this model:

  • Description: Shows how to do portfolio optimization using CVXPY, maximizing risk-adjusted return.
  • Category: Finance.
  • Type: Non-linear convex.
  • Library: CVXPY.
  • Solver: OSQP.

Notes:

  • This model is part of a convex optimization course at Stanford University.
  • The notebook includes several variations of the portfolio optilization model.

GitHub: Portfolio optimization in CVXPY.

  • Python
  • CVXPY

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