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

    Jupyter Notebook 1.1k 257

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

    Python 638 247

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

    Python 41 51

  4. Using graph algorithms to find arbitrage opportunities

    Python 23 10

  5. Extract kindle highlights into organised text files

    Python 14 2

  6. Quantamental finance research with python

    Jupyter Notebook 13 4

460 contributions in the last year

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Contribution activity

June 2020

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