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Dharin-shah
Dharin-shahCOMMUNITY
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earnings-sentiment

Analyze earnings call transcripts to quantify management sentiment and compare guidance against delivery.

Updated Mar 22, 2026
Search Tags:#analysis#confidence#transcripts#earnings#sentiment#equities#Indian
One-click install
npx skills add https://github.com/Dharin-shah/finstack --skill earnings-sentiment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-sentiment
Source: https://github.com/Dharin-shah/finstack/tree/main/er
Command: npx skills add https://github.com/Dharin-shah/finstack --skill earnings-sentiment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps equity researchers quantify management sentiment from earnings calls, compare guidance against actual performance, and generate a confidence-ranked classification for sector constituents.

Core Features & Use Cases

  • Sentiment scoring: convert call transcripts into a structured sentiment score that anchors forecasts to outcomes.
  • Credibility tracking: maintain a historical track record of guidance versus delivery to adjust future expectations.
  • Cross-company benchmarking: compare multiple companies within a sector to identify leaders and laggards.
  • Forward triggers: surface catalysts and risk signals from management commentary for next-quarter planning.

Quick Start

Ingest the last four earnings calls for the target Indian sector and generate the confidence-ranked report.

Frequently Asked Questions about earnings-sentiment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I quantify management sentiment from earnings call transcripts for Indian equities?▼

The credibility tracking mechanism maintains a historical track record of management guidance versus actual delivery across the last four quarterly calls, adjusting future expectations and producing a confidence-ranked classification per company.

How do I benchmark earnings call sentiment across multiple companies in an Indian sector?▼

The skill produces both a narrative HTML report and structured data tables containing phase-wise sentiment metrics, credibility tracking, and forward catalyst signals, all aligned to frontfrontfrontfrontfrontfrontfrontfrontfrontfront-defined metadata for downstream consumption.

Does this earnings sentiment analysis tool work for all sectors of Indian equities?▼

Yes, the sentiment analysis and credibility tracking logic is applicable to Indian equities across all sectors, focusing specifically on quarterly earnings calls and generating sector-constituent confidence rankings.

Can I extract forward risk signals and catalysts from earnings call commentary?▼

Yes, the analysis surfaces forward triggers and risk signals extracted from management commentary during earnings calls, providing structured outputs for next-quarter planning and sector benchmarking.

Do I need to provide earnings call transcripts manually for sentiment scoring?▼

You need to ingest the last four quarters of earnings call transcripts for the target Indian sector constituents, which the skill then parses to normalize sentiment and generate the confidence-ranked report.

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