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πŸ’» Active Streamlit App focused on using Python to conduct Piotroski F-Score analysis: πŸš„ Please wait 30s for it load

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malcolm-decuire/decuresolutions-streamlit-combo

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Why create this project

The purpose was to blend finance + programming into a cohesive project. The Piotroski analysis method is free, can be used same day, and enables folks to get into investing for themselves Piotroski.

What is the purpose of this project

  • Boilerplate code to create a Piotroski Analysis App
  • STATE: this project is designed to be out-of-box user-friendly with no additional downloads
  • FEATURES: custom data editor that enables users to filter out F-scores
  • PROBLEM SOLVED: limited fintech projects that users can apply in the same month & long-term
  • KEY CONCEPTS COVERED: corp finance/RE analysis/python development & deployment

Core Technical Concepts/Inspiration

Getting Started/Requirements/Prerequisites/Dependencies

Include any essential instructions for:

  • Getting it- fork on github
  • Installing It- VS Code is the prefered editor
  • Configuring It- requirements.txt should handle all import and dependencies issue
  • Running locally- make sure u have a venv setup
  • Running in cloud- as of Dec 2023 only tested via streamlit community cloud

More Specific Topics (+ sample sub-categories)

  • Versioning: 1.5 (no more after 1.6 -> will focus on other apps)

Contributing

  • NA as of Q3'2024

Next Steps

  • Upload 10-25 more securities

Features planned

  • CONTENT: include more learning materials for financial programming
  • INSIGHTS: include more insights and seasonal trend analysis

Known bugs (shortlist) (as of Dec 2023)

  • On Home page > uploading files doen't throw error if not formatted properly

License

NA

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