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  1. Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

    Jupyter Notebook 2k 498

  2. Using python and scikit-learn to make stock predictions

    Python 953 354

  3. Templates, code and notes for Kirill Eremenko's Machine Learning course

    Python 51 57

  4. Using graph algorithms to find arbitrage opportunities

    Python 41 16

  5. Extract kindle highlights into organised text files

    Python 27 6

  6. Quantamental finance research with python

    Jupyter Notebook 38 11

287 contributions in the last year

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Contribution activity

May 2021

16 contributions in private repositories May 4 – May 6

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