S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)
-
Updated
May 16, 2024 - Jupyter Notebook
S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)
Proving Data Engineering, Python & Webscraping Skills to receive and calculate SDAX financial Data from different Sources. Goal is to have a Google Sheet where u can pick Stocks of the German SDAX Index for further Analysis with one glance at the calculated Metrics. I use it myself for the first Step in the Stock Market Analysis Process.
Automated overview of my investment portfolio, including historical holdings with TSR, CAGR, and ownership periods.
Benchmarking LLMs on financial signal generation. Can Claude pick stocks from anonymized fundamentals?
Add a description, image, and links to the stock-picking topic page so that developers can more easily learn about it.
To associate your repository with the stock-picking topic, visit your repo's landing page and select "manage topics."