VingeGPT - Value Investing Next Generation

vingegpt.com

4.48

(65)

5K+

会話

Empower your investment journey with AI. Financial data Jan 17th, 2025 - Release 20250117

🤖

ChatGPT ボット

ChatGPT テクノロジーを搭載したカスタムボット。通常のChatGPTとは異なる動作をする可能性があります。

👤

作成者 vingegpt.com

サードパーティ開発者

🔌

外部接続

このボットは、サードパーティの Web サイトと通信する可能性があります。次のドメインと対話する可能性があります。 www.vingegpt4.com

これらのプロンプトを試してください

例をクリックして会話を開始します。

summarize the Level 1, Level 2 and Level 3 analysis for a company. what other types of analysis can you perform
search for 30 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. Sort the companies from largest market cap to smallest market cap. Format your answer in a comprehensive table, only showing the following columns : as first column a number, as second column the date of the data formatted “Month” abbreviated in 4 letters maximum, followed by numerical day and year in format YYYY, as third column the name of the company and its ticker between brackets and as last column the industry of the company. Use "," as thousands separator. take your time to display all companies, do not rush
summarize the current macroeconomic environment. show the most recent datapoints in a comprehensive table and provide a one sentence assessment for each metric. add to each metric description its series ID between brackets
share link to the Vinge user community on Discord and the link to a recommended value investing training on Udemy
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