README.md

Streamlit-Dashboard-Ticker_Technical_Analysis

Streamlit Dashbaord returning technical indicators for a given ticker (yfinance/ta)

Running: streamlit run https://raw.githubusercontent.com/poltys/Streamlit-Dashboard-Ticker_Technical_Analysis/master/app.py

To Do

• Add user inputs
  • Buying Price & Plotly Shape
    • Fix number_input
  • Create button to upload portfio detail and calcul global buying price / weighted av.
    • Add logic to calculate values
    • Create a templated csv to download work-around
  • Portfolio Size
  • T Price
  • Add Dynamic Indicator
• Add means
• Dynamically generate annotations
• Add technical indicators
• Identify how to create pages with streamlit
• Improve layout integration between streamlit and plotly
• Add trained ML predictive model
• Deploy on Heroku