com2003, Introduction to Financial Computing, is a course offered by The Hang Seng University of Hong Kong, and taught by Professor Dr. Willy YUE.
According to the university website,
This module aims to familiarise students with the basic ideas and concepts in financial computing. The topics include basic optimization methods, valuation of different assets and simulation of financial model with spreadsheet software such as Microsoft EXCEL.
The whole program is re-created after one years, simulating the initial functioning program. However, due to limited time at the current moment, the program is possibly unfunctionable and thus require further updates.
IDE(Integrated Development Environment):
Google Colab for .ipynb
development.
Visual Studio Code for .py
development.
com2003-final-assignment
┣ unknown_author_with_great_examples
┣ COM2003_Catalyst.ipynb
┣ define_df.py
┣ output_df.py
┣ plot_df.py
┗ yfinance.cache
The original codes are learnt from an unknown author, and unfortunately, the author has only posted his/her code on Medium.com, in which the account is removed. Below are some original links to the learning materials:
# For more information on this notebook, see my blog posts:
# https://medium.com/wwblog/technical-analysis-of-investment-prices-with-python-fe44fcdbceea
# https://medium.com/wwblog/using-papermill-to-auto-generate-technical-analyses-for-investments-19900e518f9e
# https://medium.com/wwblog/create-a-stochastic-oscillator-in-python-a7da42473677
The code outside the folder unknown_author_with_great_examples
are the ones I have written.
To use the code, open the COM2003_Catalyst.ipynb
file in Google Colab
, the runtime configurations are as follow:
Then, insert the three Python files, namely define_df.py
, output_df.py
, and plot_df.py
into Files
.
WARN: The files in "Files" will be deleted after runtime. It is best to save it in another secure location.
N/A
N/A
N/A