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FundamentalStocks

This project is about automating my manual EXCEL and data research based fundamental stock valuation for stock picking of value and growth stocks. For this I use the FinancialModelingPrep-API, a PostgreSQL database and an AI system based on a LLM by MistralAI.

The project is ongoing, therefore only a short outlook on the roadmap.

Roadmap

Step 1: Create project and setup Postgres ✅

  • Postgres successfully installed on local machine
  • PW is stored in system variable
  • Basic functions and table creation SQL-code written in Python

Step 2: Fill initial Databases ✅

  • Databases for stock, company_info, stock-prices and outstanding_shares created and filled via FMP-API
  • INSERT and UPDATE commands with foreign key created in Python
  • First tests created

Step 3: Notebook SQL Analysis ✅

  • Advanced analytical SQL commands on existing basic SQL datasets with JOINS, GROUPBY and WINDWO Function in Jupyter notebook
  • Exercice only!
  • Example SQL queries can be found here LINK

Step 4: Get Income, Balance and Cashflow Data

Step 4: Calculate several Fundamental Valuations

Step 5: Visualize Information

Step 6: Use AI system for Evaluation and further info

Step 7: Build interactive Dashboard with Streamlit

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