kanchi-dividend-sop

Automating US dividend stock screening requires a Python environment and an FMP API key. This procedure uses the FMP API to execute the Kanchi method, handling deep dive analysis, entry timing, and post-purchase monitoring to generate actionable investment plans.

The Kanchi method for dividend investing is a 5-step stock selection strategy emphasizing safety and repeatability. It provides specific rules and guardrails to screen US stocks, plan limit orders, and monitor holdings without manual oversight.

Yes, you need an FMP API key to screen US dividend stocks. The automated workflow relies on the FMP API to fetch financial data, run the 5-step Kanchi screening rules, and generate SOP summaries and limit-order plans.

Outputs from automated dividend stock analysis include SOP screening summaries, one-page stock memos, and limit-order plans. These documents help you execute the Kanchi strategy and track post-purchase monitoring for your US portfolio.

Yes, you can use Python to generate limit-order plans for specific US stocks like JNJ and PG. By passing these tickers into the screening tool, the workflow applies Kanchi rules to produce stock memos and entry timing plans.