# Kanchi Dividend Sop

Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure.

- Repository: https://github.com/tradermonty/claude-trading-skills (3536 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-sop -g -a claude-code -y`
Codex: `npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-sop -g -a codex -y`
Cursor: `npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-sop -g -a cursor -y`
Gemini CLI: `npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-sop -g -a gemini-cli -y`

## Description

Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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:

```bash
export FMP_API_KEY=your_api_key_here
```

### Input Sources

Prepare one of the following inputs before running the workflow:
1. Output from `skills/value-dividend-screener/scripts/screen_dividend_stocks.py`.
2. Output from `skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py`.
3. User-provided ticker list (broker export or manual list).

#### Expected JSON Input Format

When using `--input`, provide JSON in one of these formats:

```json
{
  "profile": "balanced",
  "candidates": [
    {"ticker": "JNJ", "bucket": "core"},
    {"ticker": "O", "bucket": "satellite"}
  ]
}
```

Or simplified:

```json
{
  "tickers": ["JNJ", "PG", "KO"]
}
```

The optional `value-dividend-screener` and
`dividend-growth-pullback-screener` handoffs use `stocks[].symbol`.
Both `build_sop_plan.py --input` and `build_entry_signals.py --input`
accept that shape directly, as well as the native `candidates[].ticker` and
`tickers[]` shapes above.

For deterministic artifact generation, provide tickers to:

```bash
python3 skills/kanchi-dividend-sop/scripts/build_sop_plan.py \
  --tickers "JNJ,PG,KO" \
  --output-dir reports/
```

The rest: https://github.com/tradermonty/claude-trading-skills/blob/HEAD/skills/kanchi-dividend-sop/SKILL.md