MySpringy ‘Converse’ is a powerful tool to get answers to your investment questions. For a smart investor, it is important to get answers to specific investing questions. Using the Power of AI, ‘Converse’ allows you to talk to the data and get the insights you need.
There are three ways in which ‘Converse’ can be used to get specific answers:
Using built-in summary responses: Converse provides context-specific executive-style summaries for each dataset that provide quick takeaways for investors.
Use pre-built prompts: In-built prompts that provide answers to frequently asked questions and initiate deeper conversations:
Type a question: Natural language chat interface to get specific answers based on latest stock data.
Leveraging Converse Capabilities for custom insights:
‘Converse’ can be used to make sense of stock data as well as drive deeper insights. Let’s understand by way of an example:
Let’s say you want to analyze recent monthly returns Visa stock. ‘Converse’ has built-in monthly return summaries to help you identify recent movement.
Further, you can use the pre-built prompt to identify outliers i.e. recent months with significantly high or low returns.
To get a more comprehensive picture, we asked Converse a few additional questions as below:
Prompt: Can you provide a tabular list of monthly returns for Visa stock for last 12 months?
Prompt: Can you tell me the month generating highest positive returns for Visa for each of the last 5 years? Provide your answer in a table with year, month and return as columns.
With ‘Converse’, users can now generate insights on all dimensions of stock research that are available to them in ‘Analyze’. 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 screenshots from Converse covering all dimensions of stock research:
Performance Summary:
Converse screenshots for ‘Summary’ tab are below:
Financial Analysis:
Converse screenshots for financial analysis tabs including Financial metrics and financial statements tabs are below:
Institutional Analysis:
Converse screenshot for Institutional Analysis is below:
Insider Analysis:
Below is the Converse screenshot for ‘Insider Analysis’.
Option Analysis:
Converse screenshot for Option Analysis is below:
Money Flow Analysis:
Screenshots for Money flow analysis including Institutional Money Trend, Fund Flows and Retail Sentiment are below:
Performance Analysis:
‘Performance Analysis’ screenshots for Converse are below:
Benchmark Analysis:
Converse screenshots for ‘Benchmark Analysis’ are as below:
Peer Analysis:
Converse Peer Analysis screenshots are below:
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.
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’.
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.