My ramblings on various stock analysis and data mining.

• Python 2.7 or 3.6+
• NumPy (http://www.numpy.org)
• SciPy (http://www.scipy.org)
• Pandas (http://pandas.pydata.org/)
• yfinance (https://pypi.org/project/yfinance)

• If required, edit the stock list files in stock_db/*.txt.
• Run (and possibly edit) download_historical_data.sh to download the historical stock data locally from the stock list files.
• Run and play with tradesim.py

• python3 -m pip install --upgrade pip
• python3 -m pip install ipython
• python3 -m pip install jupyter
• python3 -m pip install jupyterlab
• Make sure ~/.local/bin/ is in the path

• cd to the current dir where to start
• ipython

• cd to the current dir where to start
• jupyter notebook
• Or to directly open a notebook: jupyter notebook tradesim_notebook.ipynb

Jupyter lab has a nicer interface.

• cd to the current dir where to start
• jupyter lab

Ref: https://ipython.readthedocs.io/en/stable/interactive/magics.html

• %whos: Print all interactive variables

• dd: delete cell
• a: insert cell above
• b: insert cell below
• m: convert cell to markdown (for documentation)
• y: convert cell to code (python)
• Ctrl+Enter: run current cell
• Shift+Enter: run & select cell below
• Alt+Enter: run cell & insert below

• Sympy equation wrapper: https://raw.githubusercontent.com/mathcube7/customize-sympy/main/customizer.py