Open Mind Data

Validation of AI-Generated Financial Data | Daily Measure of US Stock Buybacks | Using Investor Sentiment as a Market Indicator ChatGPT and other generative AI tools utilize powerful language models that can produce a variety of responses based on your input, but they are not perfect and may sometimes make errors or hallucinate data. Therefore, it is important to check the output for quality and consistency before using it for commercial purposes. As was seen with the recent instance of a lawyer citing fake cases, blindly relying on generative AI can have serious consequences. We can help authenticate the financial information contained within generate AI output to reduce your risk of publishing false or misleading research. US-listed companies are only required to disclose their effective buyback activity once per quarter as part of their periodic financial reporting. By the time the information is released to the public, it is already old news and not necessarily actionable. We have developed a method to produce a measure of daily buyback activity, allowing for a much more timely read. Investor sentiment can be used to anticipate future price movements and to identify potential opportunities or risks. We have long-studied various sentiment measures and compiled a suite of those we believe are most helpful. Open Mind Data was founded by Greg Sedgwick, building on extensive experience in equity-market data and investing. Greg's experience ranges from discovering, building and productizing equity-related data, such as corporate fundamentals, earnings estimates and pricing data, to using such data in a systemized trading environment. Bridgewater Associates - Equity Research Associate/Investment Engineer Edgar Online - Director of Data Products Reuters - Content Specialist (Corporate Fundamentals)