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value-dividend-screener

Screen dividend stocks with FINVIZ Elite and FMP value and quality filters.

Updated Aug 23, 2026
Search Tags:#api-integration#financial-modeling#value-investing#fundamental-analysis#dividend#stock-screening
One-click install
npx skills add https://github.com/PNWSkyHippy/Trading_Bot_V2 --skill value-dividend-screener-pnwskyhippy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: value-dividend-screener
Source: https://github.com/PNWSkyHippy/Trading_Bot_V2/tree/main/claud-skills/skills/value-dividend-screener
Command: npx skills add https://github.com/PNWSkyHippy/Trading_Bot_V2 --skill value-dividend-screener-pnwskyhippy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Screen dividend stocks by balancing value, growth, and sustainability to deliver high-quality ideas for income portfolios.

Core Features & Use Cases

  • Two-stage screening using FINVIZ Elite API for fast pre-screening followed by FMP for detailed analysis.
  • Comprehensive metrics including dividend yield, P/E, P/B, dividend growth, revenue and EPS trends, and sustainability checks.
  • Use Case: Generate a ranked shortlist of dividend growth stocks to build a resilient income portfolio.

Quick Start

Run python3 scripts/screen_dividend_stocks.py to generate the top dividend stock candidates.

Frequently Asked Questions about value-dividend-screener

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

FAQPage Schema
How do I screen dividend stocks for value and quality?▼

Screening dividend stocks for value requires combining value and quality filters using FINVIZ Elite and Financial Modeling Prep APIs to evaluate dividend yield, P/E, P/B, dividend growth, revenue and EPS trends, and sustainability checks.

What metrics are used in fundamental analysis for dividend investing?▼

Fundamental analysis for dividend investing evaluates dividend yield, P/E ratio, P/B ratio, dividend growth, revenue and EPS trends, and dividend sustainability to surface high-quality income stock opportunities.

Do I need API keys to run a stock screening script?▼

Yes, running a stock screening script requires environment-ready API keys for FINVIZ Elite and Financial Modeling Prep, plus a local Python runtime to execute the code and collate the screening results.

Can I use Financial Modeling Prep data to build a dividend growth portfolio?▼

Yes, Financial Modeling Prep data provides detailed fundamental metrics in the second screening stage to build a resilient dividend growth portfolio by analyzing dividend yield, growth, revenue and EPS trends, and sustainability.

What is the best way to screen US equities for sustainable dividend income?▼

The best way to screen US equities for sustainable dividend income is a two-stage workflow combining FINVIZ Elite API pre-screening with Financial Modeling Prep data for detailed sustainability checks on dividend yield, growth, revenue and EPS trends.

Why does my dividend stock screening require a local Python runtime?▼

A local Python runtime is required to execute the screening script, process FINVIZ and Financial Modeling Prep API data, apply value and quality filters, and collate the final ranked shortlist of dividend stock candidates.

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