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Type a question: Natural language chat interface to get specific answers based on latest stock data.
Leveraging Converse Capabilities for custom insights:
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| server | System Jira |
|---|---|
| serverId | 29ca8d97-b03e-315e-a71b-85e4c0b0bf0b |
| key | MET-672 |
‘Converse’ can be used to make sense of stock data as well as drive deeper insights. Let’s understand by way of an example:
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With ‘Converse’, users can now generate insights on all dimensions of stock research. Whether it is financial analysis, benchmark analysis, peer analysis, price volume history, inside transactions, institutional analysis, options analysis or analyst recommendations, ‘Converse’ can be used to derive the insights that suit your investing style using natural language. ‘Converse’ can also be used to get clarity on important stock market terms, understanding investing concepts and strategies.
To keep the conversations contextual, ‘Converse’ has same layout as ‘Analyze’. Most tab / sub-tab have AI-enabled summary, built-in prompts as well as chat interface so that users can interact with contextual data and ask specific questions. Here are some sample screenshots from Converse for illustration:
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It should be noted that the tab layout of Analyze is slightly different between stocks and ETFs based to the nature and relevance of the information. ‘Converse’ tab structure for stocks and ETFs mirrors the respective ‘Analyze’ tab structures.
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Export Converse insights:
For each of your favorite assets, the ‘Converse’ summaries can be exported as a PDF. The PDF export is available as a tab on ‘Converse’.
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Note:
Since ‘Converse’ follows the tab structure in ‘Analyze’ and creates summaries, it is important the users load ‘Analyze’ completely (including all it’s main tabs) to be able to use converse fully. If this isn’t done, ‘Converse’ will give a message asking users to do so.