Kanchi Dividend Sop

Converts Kanchi's Japanese dividend investing method into a deterministic five-step workflow for US stocks. You get screening logic that separates regular yield from special dividends, sector-specific safety checks that don't penalize banks for missing free cash flow, PER×PBR valuation adapted for REITs and utilities, and structured pullback entry rules tied to five-year yield averages. The real value is in the fail-safes: borderline yields trigger recheck instead of auto-reject, pending M&A caps verdicts to hold-review, and missing adjusted EPS never silently passes. It produces one-page stock memos with explicit invalidation triggers. Built for repeatable underwriting, not gut-feel picks.

skills.sh installs: 3.4K
GitHub stars: 3.7K
last updated: Aug 21, 2026

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Install

$ npx -y skills add tradermonty/claude-trading-skills --skill kanchi-dividend-sop --agent claude-code

Installs into .claude/skills of the current project.

Files

Kanchi Dividend Sop

Overview

Implement Kanchi's 5-step method as a deterministic workflow for US dividend investing. Prioritize safety and repeatability over aggressive yield chasing.

When to Use

Use this skill when the user needs:

Kanchi-style dividend stock selection adapted for US equities.
A repeatable screening and pullback-entry process instead of ad-hoc picks.
One-page underwriting memos with explicit invalidation conditions.
A handoff package for monitoring and tax/account-location workflows.

Prerequisites

API Key Setup

The entry signal script requires FMP API access:

export FMP_API_KEY=your_api_key_here

Input Sources

Prepare one of the following inputs before running the workflow:

Output from skills/value-dividend-screener/scripts/screen_dividend_stocks.py.
Output from skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py.
User-provided ticker list (broker export or manual list).