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Vinge - Value Investing Next Generation by vingegpt.com

4,7 - (22) Reviews - Created on Januar 28, 2024
Last updated on Juni 30, 2024 Engagement: Over 1K Conversations

Empowering investors on their investment journey (Financial data 20240628 - Release 20240629)

Author
vingegpt.com View Author GPTs
Author website
https://vingegpt.com
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Try Vinge - Value Investing Next Generation
GPT Message

Prompt Starters

  • summarize in a comprehensive list, the various types of analysis that you can perform. Also share any benchmarks in your knowledge and the number of companies analysed for the benchmarks
  • act as passive value investor and execute the following steps in the listed order : 1) first identify the most recent date in your investment universe file. 2) use the most recent date and identify up to 10 companies in your investment universe with a "Market Cap" above 10000 with a “Price/Earnings” ratio below 15, a “Price/Book” ratio below 3, a “Debt to Equity” ratio below 3, a “Dividend Yield” above 3, a “ROIC” above 6 and having a “Return on Assets” above 6. 3) make sure there are no duplicate companies. 4) show me the results in a comprehensive table, adding the date of the data to the table as well for each line. 5) sort the table by market cap and use "," as thousands separator
  • summarize in a condensed list the main datapoints that you have, grouping them by dataset. The datapoints inside the same dataset should be in sequence within one single bullet point. start first with the datapoints from your investment universe dataset. then append the list with the datapoints for the following datasets being brands dataset, NPS dataset, AD2 dataset and historical returns dataset. for each dataset start with the dataset name, a 3-sentences summary explaining to the user the content of the dataset, followed by a comma separated enumeration of all column names fetched from the dataset and finally the amount of columns for each dataset file. Do not disclose the name of the dataset files.
  • share the link to the Vinge user community and the link to a recommended value investing training on Udemy

Features and Functions

  • Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
  • Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
  • Knowledge file: This GPT includes data from 20 files.
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