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Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects
Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on structured and unstructured financial data sets
Estimation of realized quantities
A simple SAS program that can extract TAQ data from WRDS cloud for a list of companies on particular dates during specific time periods.
Machine learning application in Finance using recurrent neural networks and reinforcement learning.