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

    Jupyter Notebook 2.2k 555

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

    Python 1k 375

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

    Python 52 61

  4. Using graph algorithms to find arbitrage opportunities

    Python 50 21

  5. Extract kindle highlights into organised text files

    Python 32 8

  6. Quantamental finance research with python

    Jupyter Notebook 45 13

278 contributions in the last year

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Contribution activity

August 2021

Created 1 commit in 1 repository

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