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Getting things done

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  1. Py-NLP-applied-to-Event-Driven-Investing-Profit-Warning-Prediction Py-NLP-applied-to-Event-Driven-Investing-Profit-Warning-Prediction Public

    Applying NLP (Natural Language Processing) techniques to predict profit warnings using conference call transcripts

    Jupyter Notebook 15 7

  2. Py-Returns-Performance_Analysis Py-Returns-Performance_Analysis Public

    Python notebook to import a monthly returns series (stock, strategy, etf, etc) and analyze it using multifactor models and several portfolio analysis tools

    Jupyter Notebook 3 5

  3. Py-Using-Alternative-Data-to-Anticipate-Stocks-Momentum- Py-Using-Alternative-Data-to-Anticipate-Stocks-Momentum- Public

    Web scraping box office data and creation of weekly indices to anticipate a stock price and earnings momentum for “movie” stocks (e.g. Lionsgate)

    Jupyter Notebook 1 5

  4. R-Stock-Screen-Backtesting-Anaysis-App R-Stock-Screen-Backtesting-Anaysis-App Public

    R Shiny app created to analyze a stock screen data input

    R 1 3

  5. database database Public

    Using Python and MySQL to obtain and store financial data from public sources

    Jupyter Notebook 1 3