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,

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: 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: Or simplified: 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: For Step 5 entry timing artifacts. yield floor is mandatory — it is the Step 1 yield gate; without it every row fail safes to STEP1 RECHECK (a row can never reach a PASS tier without Step 1). Pass profile / safety bias for run context, and events json for the Step 4b scan (absent ⇒ every row is treated as SKIPPED and a TRIGGERED name is capped to HOLD REVIEW — never silently clean): Workflow 1) Define mandate before screening Collect and lock the parameters first: Objective: current cash income vs dividend growth. Max positions and position size cap. Allowed instruments: stock only, or include REIT/BDC/ETF. Preferred account type context: taxable vs IRA like accounts. Load references/default thresholds.md and apply baseline settings unless the user overrides. 2) Build the investable universe Start with a quality biased universe: Core bucket: long dividend growth names (for example, Dividend Aristocrats style quality set). Satellite bucket: higher yield sectors (utilities, telecom, REITs) in a separate risk bucket. Use explicit source priority for ticker collection: 1. skills/value dividend screener/scripts/screen dividend stocks.py output (FMP/FINVIZ). 2. skills/dividend growth pullback screener/scripts/screen dividend growth rsi.py output. 3. User provided broker export or manual ticker list when APIs are unavailable. Return a ticker list grouped by bucket before moving forward. 3) Apply Kanchi Step 1 (yield filter with trap flag) Primary rule: Step 1 yield = the regular forward yield = latest declared regular dividend × cadence implied frequency / price (WS 1 dividend basis.py ). Never use profile.lastDividend / TTM — it lags the latest declared raise (defect D5) and silently bundles specials (D4). Apply the profile floor (income now 4.0% / balanced 3.0% / growth first 1.5%) to the regular yield only. Trap & freshness controls (machine emitted by dividend basis.py ): special dividend flag → exclude specials; report regular vs ttm yield. variable policy flag → FAIL (CALM style; not an income base). cut flag → FAIL ; suspension flag → FAIL . freeze flag → HOLD REVIEW (income cash cow exception decided in Step 8 synthesis only if safety is clean & unblocked). Data Freshness Gate : if the regular yield is within ±0.20pp of the floor ( floor borderline ) and the latest declared dividend is not confirmed from an authoritative source, emit STEP1 RECHECK — never a hard FAIL (this is the CFR D5 fix). 4) Apply Kanchi Step 2 (growth and safety) — sector dispatched Safety is sector specific — a uniform GAAP/FCF triad mis judges banks (FCF meaningless) and regulated utilities (FCF structurally negative). Use references/sector step2 modules.md ; the deterministic dispatch is scripts/payout safety.py . Always compute the payout triad : GAAP EPS payout, Adjusted EPS payout, FCF payout. The safety verdict uses Adjusted EPS + FCF (consumer), or the sector module (bank / utility / insurer). adjusted eps source = UNAVAILABLE ⇒ cap HOLD REVIEW (fail safe; never a silent PASS). GAAP↔Adjusted EPS divergence 25% ⇒ Step 4 one off flag. A merger completed within 4 quarters presumes GAAP EPS is distorted ⇒ force the adjusted path or HOLD REVIEW (FITB/Comerica golden case). Regulated utilities: negative FCF is not an auto FAIL — judge on FFO/debt + allowed ROE + rate case + equity issuance risk. When trend is mixed but not broken, classify as HOLD REVIEW instead of hard reject. 5) Apply Kanchi Step 3 (valuation) with US sector mapping Use references/valuation and one off checks.md and apply sector specific valuation logic: Financials: PER x PBR can remain primary. REITs: use P/FFO or P/AFFO instead of plain P/E . Asset light sectors: combine forward P/E , P/FCF , and historical range. Always report which valuation method was used for each ticker. 6) Apply Kanchi Step 4 (one off event filter) Reject or downgrade names where recent profits rely on one time effects: Asset sale gains, litigation settlement, tax effect spikes. Margin spike unsupported by sales trend. Repeated "one time/non recurring" adjustments. Record one line evidence for each FAIL to keep auditability. 6b) Apply Kanchi Step 4b (forward structural event scan) Step 4 is backward looking; Step 4b catches pending/recent structural events (the MKC Unilever miss, D3). For each surviving candidate, run a WebSearch + issuer IR/SEC check using the source hierarchy : issuer IR → SEC filing (8 K/10 Q/10 K/proxy/S 4) → exchange/company deck → reputable wire → finance portals (secondary only). Record findings into a curated events JSON and pass it via build entry signals.py events json . Only a major structural event caps the verdict to HOLD REVIEW (tx 10% mcap, share issuance 10–20%, leverage +0.5x EBITDA, control/listing/HQ change, merger of equals / RMT / spin off / large asset sale, dividend/rating/leverage policy change, sector specific materiality, or rolling 24m cumulative M&A 15% mcap). Minor bolt ons are a CAUTION note only. Pessimistic cap : FAILED DEGRADED / SKIPPED / NO EVENT FOUND on a Step 5 TRIGGERED name ⇒ HOLD REVIEW + T1 BLOCKED . WebSearch unavailable (web app / offline) is treated the same — never a silent skip. CLEAN CONFIRMED (primary source checked) is stronger than NO EVENT FOUND (search only). 7) Apply Kanchi Step 5 (buy on weakness with rules) Set entry triggers mechanically: Yield trigger: current yield above 5y average yield + alpha (default +0.5pp ). Valuation trigger: target multiple reached ( P/E , P/FFO , or P/FCF ). Execution pattern: Split orders: 40% 30% 30% . Pre order blockers : if a candidate has any unresolved pre order blockers[] (from WS 1/2/3 — variable/cut/suspension, adjusted EPS unavailable, GAAP/Adj divergence, bank credit, utility FFO/debt, event scan failed/skipped, stale dividend, …) OR t1 blocked is true, the first tranche is blocked or downsized to a ≤20% tracking tranche — not 40%. Sector cluster risk : when ≥ SECTOR CLUSTER WARN COUNT same sector names pass (e.g. many small banks share one macro beta), emit a portfolio level CLUSTER RISK warning. Require one sentence sanity check before each unblocked add: "thesis intact vs structural break". 8) Produce standardized outputs Always produce: 1. Screening table with the actionable verdict tier : CLEAN PASS , PASS CAUTION , CONDITIONAL PASS , HOLD REVIEW , STEP1 RECHECK , FAIL (synthesized by verdict.py from Step 1 + Step 2 + Step 4b + blockers). Include evidence per row. 2. One page stock memo (use references/stock note template.md ) with the per ticker provenance block (price/dividend/payout/event sources, unresolved blockers , evidence refs[] ). 3. Limit order plan with split sizing, blocker gate, and invalidation. 4. Top level run context (profile, yield floor pct, safety bias, universe source, excluded asset types) so a 3% run result is never silently reused inside a 4% run. Output Return and/or generate: 1. SOP screening summary in markdown. 2. Underwriting memo set based on references/stock note template.md . 3. Optional plan artifact file generated by skills/kanchi dividend sop/scripts/build sop plan.py in reports/ . 4. Optional Step 5 entry signal artifacts generated by skills/kanchi dividend sop/scripts/build entry signals.py in reports/ . Cadence Use this minimum rhythm: Weekly (15 min): check dividend and business news changes only. Monthly (30 min): rerun screening and refresh order levels. Quarterly (60 min): deep safety review using latest filings/earnings. Multi Skill Handoff Run this skill first, then hand off outputs: 1. To kanchi dividend review monitor for daily/weekly/quarterly anomaly detection. 2. To kanchi dividend us tax accounting for account location and tax classification planning. Guardrails Do not issue blind buy calls without Step 4, Step 4b and safety checks. Do not treat high yield as value before validating coverage quality. Use the regular forward yield for Step 1, never a special/TTM inclusive figure; near floor + unconfirmed ⇒ STEP1 RECHECK , not FAIL. A failed/skipped event scan on a TRIGGERED name ⇒ HOLD REVIEW + T1 blocked. Never silently skip Step 4b. Keep assumptions explicit; adjusted eps /data missing ⇒ fail safe HOLD REVIEW , never silent PASS. Resources scripts/thresholds.py : single source of truth for all SOP thresholds + SCHEMA VERSION (downstream schema evolution guard). scripts/dividend basis.py : WS 1 regular/special/variable/freeze/cut + Data Freshness Gate engine (pure, offline). scripts/payout safety.py : WS 2 sector aware GAAP/Adjusted/FCF payout triad + completed merger linkage. scripts/event scanner.py : WS 3 isolated forward/recent corporate action scanner + materiality gate + pessimistic cap. scripts/verdict.py : WS 5 actionable tier synthesis + run context + evidence ref helpers. scripts/build entry signals.py : orchestrator (Step 5 targets + WS 1/2/3/5 integration). Flags: yield floor , events json , profile , safety bias , universe source . scripts/build sop plan.py : deterministic SOP plan scaffold generator. scripts/tests/test golden p0.py : P0 merge gate — end to end frozen verdicts for CALM/ORI/CMCSA/MKC/CFR/cut (run via scripts/run all tests.sh ). references/default thresholds.md : human readable threshold mirror. references/sector step2 modules.md : Step 2 safety indicators by sector. references/valuation and one off checks.md : Step 3 valuation + Step 4 one off. references/stock note template.md : one page memo + provenance block.

kanchi-dividend-sop