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derivatives

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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

  • Updated Dec 5, 2020
  • C++
synthetix
domokane
domokane commented Nov 15, 2020

Some functions take a date as an input. However I would like to be able to pass in a vector/list of dates and/or a vector of enums and get a corresponding vector of values.

This is shown in notebook

https://github.com/domokane/FinancePy/blob/master/notebooks/products/equity/EQUITY_VANILLA_EUROPEAN_STYLE_OPTION_VECTORISATION.ipynb

Consider f(x,y,z). Behaviour that would be good

  1. If x

Multi-asset, multi-strategy, event-driven trade execution and management platform for automated buy-side trading of common markets, using MongoDB for storage and Telegram for user notifications/trade consent.

  • Updated Oct 23, 2020
  • Python
vananiev
vananiev commented Oct 25, 2020

На текущий момент успешно загруженные отчеты брокера сохраняются в домашней директории пользователя в папке investbook/report-backups. Позволять отключать бекап настройкой

investbook.report-backup: off
notebooks

Implement, demonstrate, reproduce and extend the results of the article 'Differential Machine Learning' (Huge & Savine, 2020), and cover implementation details left out of the working paper

  • Updated Jun 14, 2020
  • Jupyter Notebook

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