Social Media (ChatGPT For Finance) looks promising but watch this video before using it

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Embracing the Future of Financial Analysis with

Exploring the Capabilities of ChatGPT in Finance

The advent of ChatGPT has made waves in numerous fields, with its utilization extending to finance and stock analysis. Despite its considerable capabilities, the current version of ChatGPT has its limitations, particularly in pulling current financial data. As of now, its knowledge only extends up to September 2021, making it less effective for those seeking real-time data for their financial inquiries.

Limitations in Real-Time Financial Data

Though upgrades to ChatGPT that provide real-time information are underway, the application still falls short in delivering financial insights. For instance, querying ChatGPT for Apple's return on invested capital (ROIC) over the past five years might result in the system providing data for 2022 — a year beyond its knowledge cut-off point. It's essential to be aware of these limitations and treat the provided information with due caution.

The Arrival of A Game-Changer in Financial Analysis

To address these shortcomings, has introduced a tool tailored to the financial sector:, an AI assistant that brings the capabilities of ChatGPT to finance.

Getting Acquainted with

At first glance, resembles ChatGPT in appearance and functionality. You can ask questions or insert prompts, and the system will generate AI-powered responses. Currently, the platform offers users ten daily credits for free, and a subscription-based service is available for a fee, providing up to 50 prompts per day. in Action can offer concise summaries of company annual reports like Tesla's 2022 report, complete with data points, graphs, and vehicle delivery details. The platform can present data in a snapshot format, breaking down details annually and quarterly.

Testing the Accuracy of

Despite these promising features, it's crucial to note that the platform is still new and might contain bugs that could lead to discrepancies in data. For example, when cross-referencing the turnover figures provided by for Meta with the actual annual report figures, there was a significant difference. Such discrepancies indicate the need for users to exercise caution when basing financial decisions on data provided by

Future Prospects for

Despite its initial glitches, holds significant promise for the future of stock analysis. As it continually feeds on up-to-date financial data, transcripts of earnings calls, annual and quarterly reports, and business key performance indicators (KPIs), its accuracy and value are expected to increase. However, as with any tool, users should always exercise due diligence and verify the data independently before making any financial decisions.

Conclusion represents a major stride in AI-assisted financial analysis. The platform's potential is vast, though it still requires refinement. Share your thoughts and experiences with below and let us know if you envision incorporating it into your future financial analysis toolkit.



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