https://github.com/bukosabino/streamlit-demo-financial-eda

Automated Exploration Data Analysis on a financial dataset
https://github.com/bukosabino/streamlit-demo-financial-eda

eda financial-analysis python streamlit technical-analysis

Last synced: 21 days ago
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Automated Exploration Data Analysis on a financial dataset

• Host: GitHub
• URL: https://github.com/bukosabino/streamlit-demo-financial-eda
• Owner: bukosabino
• License: apache-2.0
• Created: 2019-10-20T18:08:53.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-08-12T18:36:19.000Z (5 months ago)
• Last Synced: 2024-12-01T13:30:30.652Z (about 1 month ago)
• Topics: eda, financial-analysis, python, streamlit, technical-analysis
• Language: Python
• Size: 87.9 KB
• Stars: 39
• Watchers: 3
• Forks: 16
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Automated EDA on financial dataset

Just a simple way to get automated Exploration Data Analysis from financial dataset (OHLCV) using [Streamlit](https://github.com/streamlit/streamlit) and [ta](https://github.com/bukosabino/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

```sh

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? 

* [Yahoo Finance data web app](https://github.com/paduel/streamlit_finance_chart)

# Contact

Developed by Darío López Padial (Bukosabino).

Please, let me know about any comment or feedback.