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Visualise and Predict stocks using python, streamlit, kats, fbprophet and yfinance

Jupyter Notebook 99.47% Python 0.53%
python streamlit streamlit-webapp kats fbprophet

stockapp-python's Introduction

StockApp - Python

Visualise and Predict stock trend using python, streamlit, plotly, fbprophet, kats & yfinance

Getting the Python Modules ready

pip3 install streamlit fbprophet kats yfinance plotly

All the Files related to this project are linked above.

The main.py is the only python file which you would need to execute; inorder to quickly get the web app running in few seconds. The other two python notebook is for the machine learning model reference.

Its easy to run a stream lit app by running the following commands in terminal, after you navigate to the respective folder containing the downloaded file i.e. cd /<your_folder>/<main.py> or use VS code -

cd /<your_folder>/<main.py>

streamlit run main.py

Happy Streamlitting!!

Streamlit_app

Note : The Model is under development to improve various factors like efficiency. DO NOT USE IT FOR YOUR REAL MONEY!!

Ref -

  1. KATS by Facebook Research - https://github.com/facebookresearch/Kats
  2. LSTM Example - https://www.datacamp.com/community/tutorials/lstm-python-stock-market
  3. Python Engineer's Stock App - https://www.youtube.com/watch?v=s3CnE2tqQdo&t=237s
  4. GeekforGeeks - https://www.youtube.com/watch?v=s3CnE2tqQdo&t=431s

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