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by jatinshah
1058 days ago
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The main use case highlighted here seems to be retrieving quantitative data from financial reports and then doing sophisticated analysis (trendlines, forecasting etc) using ChatGPT (basically what’s currently done in Excel). I doubt any finance professional would want to move from Excel to ChatGPT for these use cases. A secondary issue is that numbers in financial reports need to be standardized before they can be used for analysis - say comparing ROE of a stock with industry average. That’s not possible with numbers from raw reports. |
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When you login into capitaliq or factset or look at a bloomberg screen, you access data, you can then do the same here. Excel plugins go on top which can then get this data into excel to build models. The api that powers this app, can also send data into excel for instance.
Data can be copied already directly from the chat box into excel, maintaining the table format for e.g
Regarding standardization, I think data was standardized not to enable comparison but simply to fit into the same schema for every industry. Most companies within the same industry report the same way. REITs do not report like SaaS, but the existing datasets put it all into one set. Raw data from source is always better as you can convert it to standardized but you can't go back...