Read Me

Visualizing Stocks

vistock is an open source package that provides a lot of plot() functions for visualizing stocks. For those who just want to use it directly without knowing too many details, I also provide a Colab notebook file, which can be used to plot stock charts you want after simply filling out parameters on the Colab Forms.

• Website: vistock.netlify.app (or vistock.vercel.app)
• Usage demo:
  • github.com/yorkjong/vistock/blob/main/notebooks/vistock_demo.ipynb
  • github.com/yorkjong/vistock/blob/main/notebooks/profile_demo.ipynb
  • github.com/yorkjong/vistock/blob/main/notebooks/bull_draw.ipynb
• Test code: github.com/yorkjong/vistock/tree/main/tests
• Documentation: vistock.netlify.app/modules.html (or vistock.vercel.app/modules.html)
• Source code: github.com/yorkjong/vistock
• Bug reports: github.com/yorkjong/vistock/issues

Getting Started on Colab

1. Click vistock_demo.ipynb to open it in Colab.
2. Sign in your Google account if required.
3. Follow the steps in the demonstration video below.
   1. Install vistock from GitHub
      • Click the ► button to start install
      • We can see [ ] symbol at the begin of a cell. It will be changed to ► button while the mouse cursor over it.
   2. Fill parameters of a form.
   3. Manually click ► button (means "start run") to plot a chart.
      • The vistock will be installed automatically if it is not done yet.
      • After running a cell manually, it will auto-run if you change the selected parameter value.

vistock_demo.mov

Dive into it on your computer.

1. Install vistock from GitHub

   git clone https://github.com/yorkjong/vistock.git

2. Run a test code.

   There are two test code in vistock/tests folder.

   • test_plotly.py -- for Plotly version
   • test_mpl.py -- for mplfinance version

   Run a test code:

   cd vistock/tests
   python test_plotly.py

   This test code will show stock charts and save them into interactie html files. You can double-clicked a output file to open it on your browser.

3. Enjoy the demo code. The demo code called vstock_demo.ipynb. You can open it on your Jupyter Notebook environment.