Automated Exploration Data Analysis on a financial dataset

Overview

Automated EDA on financial dataset

Just a simple way to get automated Exploration Data Analysis from financial dataset (OHLCV) using Streamlit and ta.

To use this library you need a financial time series dataset including Timestamp, Open, High, Low, Close and Volume columns.

Requirements

  • python3.7 version

Run

pip install streamlit==0.48.1 ta==0.4.5
streamlit run https://raw.githubusercontent.com/bukosabino/streamlit-demo-financial-eda/master/app.py

TODO

  • Heatmap: Visualize the correlation coefficient in between ta features.
  • Web application user can load a .csv file

Extra

Are you interested in more Streamlit demos related to financial data?

Contact

Developed by Dar铆o L贸pez Padial (Bukosabino).

Please, let me know about any comment or feedback.

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Comments
  • Missing data.csv

    Missing data.csv

    When trying to run the example it doesn't find the data.csv file. I used one of my own for testing, but it didn't match the format and I had to check the code to format the csv.

    I thought you could include in the repository the data.csv file that you used to make it easier to test your development.

    opened by paduel 1
Owner
Dar铆o L贸pez Padial
Join us now and share the software. You'll be free.
Dar铆o L贸pez Padial
Data exploration done quick.

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