Kanchi Dividend Sop
Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure.
Install
npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-sop -g -a claude-code -y- Repository
- tradermonty/claude-trading-skills3.5k
- Category
- Marketing
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
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.
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).
Expected JSON Input Format
When using --input, provide JSON in one of these formats:
{
"profile": "balanced",
"candidates": [
{"ticker": "JNJ", "bucket": "core"},
{"ticker": "O", "bucket": "satellite"}
]
}
Or simplified:
{
"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:
python3 skills/kanchi-dividend-sop/scripts/build_sop_plan.py \
--tickers "JNJ,PG,KO" \
--output-dir reports/
