VINGE - Value Investing Next GEneration by vingegpt.com
Last updated on августа 21, 2024 Engagement: Over 1K ConversationsEmpowering investors on their investment journey (Financial data 20240816 - Release 20240820)
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Prompt Starters
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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
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search for 10 companies 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. Format your answer in a comprehensive table, adding a number as first column and the date of the data as second column to the table as well for each line. Sort the table by market cap and use "," as thousands separator
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fetch your data dictionary datasets from your data dictionary knowledge file grouping the datapoints by dataset name. provide a short explanation and the purpose of each dataset. The 1st column being the dataset, the 2nd column being a comma-separated enumeration of the data points and the 3rd column being the count of data points per dataset. also list all FRED series_id that are part of your FRED knowledge file
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share the link to the Vinge user community on Discord and the link to a recommended value investing training on Udemy
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Features and Functions
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Delinquency Rates on loans Endpoints for getting deliquency rates
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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.
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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.
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Knowledge file: This GPT includes data from 15 files.
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