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Evolutionary approach to building financial models #71

@KritiKathuria

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@KritiKathuria
  • Abstract (2-3 lines)
    As with many fields, applications of machine learning and computational methods are expanding to the financial world too. Modelling financial markets is a challenging area despite the availability of data. This is because of the myriad factors influencing every movement of the stocks and unavailability of a "test" dataset on which we can test and tune models. Natural Computing methods, umbrella for evolutionary computing methods, which have been inspired by the phenomenon occurring in the real world. Hence, these methodologies are equipped to deal with systems that have high dimensional and dynamic attributes., like the financial market.

  • Brief Description and Contents to be covered
    Genetic algorithms, genetic programming, forecasting, portfolio optimization.

  • Pre-requisites for the talk

  • Time required for the talk

  • Link to slides

  • Will you be doing hands-on demo as well?

  • Link to ipython notebook (if any)

  • About yourself
    I like reading, Bucky Barnes, working out, psychology, finance and machine learning. I am working on mixing the latter two fields. I believe in compassion and kindness.

  • Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ?
    Yes

  • Any query ?

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