https://github.com/ignacioct/stockdashboard

Personal Stock Dashboards made using Python and Streamlit
https://github.com/ignacioct/stockdashboard

dashboard economy pandas python seaborn stocks streamlit visualization

Last synced: about 1 month ago
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Personal Stock Dashboards made using Python and Streamlit

• Host: GitHub
• URL: https://github.com/ignacioct/stockdashboard
• Owner: ignacioct
• License: gpl-3.0
• Created: 2022-02-25T17:51:29.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-04-08T11:32:14.000Z (over 2 years ago)
• Last Synced: 2024-10-13T18:07:34.117Z (2 months ago)
• Topics: dashboard, economy, pandas, python, seaborn, stocks, streamlit, visualization
• Language: Python
• Homepage:
• Size: 24.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Stock Portfolio Dashboard Dashboard

Personal Stock Dashboards made using Python and Streamlit

## Installing Dependencies

Streamlit is mainly powered by Streamlit and Seaborn. There's a requirement text file from where a Conda environment can be easily built.

```bash

conda env create -n stock_dashboard -f environment.txt python=3.7

conda activate stock_dashboard

pip install yahoo_fin

pip install streamlit

```

## Uploading your portfolio data

The app will search for a file called ```portfolio.csv``` in your parent directory. There, a table information about your portfolio should be placed. This csv file has the following variables to fill up: Stock Symbol, Price (at which it was bought), Money Invested, Date of purcharse. 

## Running the Dashboard

To run the app, once the environment is activated, just type the following Streamlit command:

```bash

streamlit run app.y

```