Skip to content

Real-time financial dashboard built using Streamlit, yfinance, pandas, and matplotlib.

Notifications You must be signed in to change notification settings

benjaminjvdm/FxDash

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

16 Commits
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

Real-Time Financial Dashboard πŸ“ˆ

This project is a real-time financial dashboard built using Streamlit, yfinance, pandas, and matplotlib. It displays candlestick charts for GBPJPY, AUDJPY, and BTC-USD, along with Quarter Theory levels and a 50-period EMA. For BTC-USD, it also includes Kairi Relative Index (KRI) with Buy/Sell signals.

Features ✨

  • Real-time candlestick charts for GBPJPY, AUDJPY, and BTC-USD πŸ“Š
  • Quarter Theory levels for GBPJPY and AUDJPY πŸ“
  • 50-period EMA for GBPJPY and AUDJPY πŸ“ˆ
  • Kairi Relative Index (KRI) with Buy/Sell signals for BTC-USD 🏹
  • Data fetched using yfinance 🌐
  • Interactive dashboard using Streamlit πŸ–₯️

Libraries Used πŸ“š

  • streamlit==1.43.2
  • yfinance==0.2.54
  • pandas==2.2.3
  • matplotlib==3.9.3
  • mplfinance==0.12.10b0

Deployment πŸš€

The application is deployed at: https://fxdash.streamlit.app

How to Run πŸƒ

  1. Install the required libraries:

    pip install -r requirements.txt
  2. Run the Streamlit app:

    streamlit run app.py

About

Real-time financial dashboard built using Streamlit, yfinance, pandas, and matplotlib.

Topics

Resources

Stars

Watchers

Forks

Languages