earnings-preview-single

To generate an equity research earnings preview for a single company, run the skill with the company ticker as an argument. It automatically processes earnings transcripts, competitor data, and valuation metrics to produce a professional HTML report.

Automated equity research report generation uses Kensho Grounding MCP and S&P Global MCP for data. These pre-defined sources ensure data integrity by providing earnings transcripts, competitor landscape information, and valuation metrics.

Yes, this earnings preview tool requires Python, yaml, Kensho, and S&P Global dependencies. Your environment must support these components to access the necessary data sources and execute the validation rules for report generation.

The best way to create a professional HTML report from earnings transcripts is to use an automated equity research skill. It analyzes recent transcripts, competitor data, and valuation metrics while applying strict validation rules for data integrity.

Yes, you can analyze competitor data and valuation metrics for a single stock ticker. By passing the ticker as an argument, the skill queries Kensho Grounding MCP and S&P Global MCP to gather and validate the required financial data.

A limitation of using pre-defined data sources for equity research is that data retrieval is strictly bound to Kensho Grounding MCP and S&P Global MCP. You cannot integrate external data feeds or bypass the built-in validation rules.