stock-analyzer

Name: stock-analyzer
Availability: InStock
Author: naopensedoit2-design

Generate Excel models and cited PDF reports from stock analysis.

Updated Apr 25, 2026

Search Tags:#technical indicators #stock analysis #investment research #fundamental analysis #SEC EDGAR #portfolio insights #valuation modeling

Ready to run

npx skills add https://github.com/naopensedoit2-design/Claramente-nao-sou-um-Escritor --skill stock-analyzer-naopensedoit2-design

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stock-analyzer
Source: https://github.com/naopensedoit2-design/Claramente-nao-sou-um-Escritor/tree/main/.local/secondary_skills/stock-analyzer
Command: npx skills add https://github.com/naopensedoit2-design/Claramente-nao-sou-um-Escritor --skill stock-analyzer-naopensedoit2-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps users analyze stocks and companies by combining fundamental metrics, technical indicators, insider activity, and risk assessment into a verifiable research output.

Core Features & Use Cases

Fundamental + Valuation Analysis: Evaluates valuation and business quality using metrics like P/E, PEG, EV/EBITDA, P/S, and FCF yield, while flagging unverified figures.
Technical Context: Computes 50/200 SMA, RSI(14), volume signals, and distance from 52-week highs to provide trend context (not predictions).
Evidence-Based Research Workflow: Requires cross-referencing yfinance data with SEC filings (10-K/10-Q) and using deep web research before producing any report.
Full Deliverables for Decisions: Generates both a spreadsheet model and a multi-page sell-side style PDF report, with a matching web preview after the PDF and Excel are ready.

Quick Start

Ask it to analyze a specific ticker, compare it with selected peers, and generate an Excel model plus a sell-side style PDF report with cited sources.

Frequently Asked Questions about stock-analyzer

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

FAQPage Schema

How do I generate a stock analysis report with fundamental metrics and technical indicators?▼

To generate a stock analysis report, request analysis for a specific ticker and the tool cross-references yfinance data with SEC EDGAR 10-K/10-Q filings to compute P/E, RSI(14), and SMA metrics. It outputs an Excel financial model and a cited, multi-page sell-side style PDF report.

What is the best way to compare peer equities using SEC EDGAR and valuation modeling?▼

Peer equity comparison uses SEC EDGAR cross-references and valuation modeling to evaluate business quality across selected sectors. By requesting peer comparisons, you receive a multi-page PDF report and Excel spreadsheet detailing PEG, EV/EBITDA, and FCF yield alongside insider and short-interest signals.

Does this stock research workflow require manual data collection from yfinance and SEC filings?▼

No manual data collection is required because the workflow mandates validated yfinance data collection and automatic SEC EDGAR cross-referencing. It aggregates fundamental metrics, technical indicators, and deep web research into a verifiable investment-style report without manual entry.

Can I get portfolio insights and risk assessment for multiple tickers at once?▼

Yes, portfolio insights are supported by applying the analysis across requested equities and sectors to assess risk and insider activity. The tool combines technical context like 50/200 SMA and volume signals with fundamental metrics to deliver Excel and PDF outputs for portfolio review.

What technical indicators are included in the investment research output?▼

The investment research output includes 50/200 SMA, RSI(14), volume signals, and distance from 52-week highs for trend context. These technical indicators are combined with fundamental valuation metrics and SEC filing data in the generated PDF report and Excel model.

Are there limitations to using automated fundamental analysis for sell-side style reporting?▼

A key limitation is that technical indicators provide trend context rather than price predictions, and unverified figures are explicitly flagged during valuation analysis. The tool requires deep web research sourcing and SEC filings cross-reference to maintain sell-side style report accuracy.