kanchi-dividend-sop

You can automate dividend stock screening by applying multi-step filters for yield, growth, safety, and valuation. This process generates standardized underwriting memos and calculates optimal entry points based on historical yield data and predefined alpha.

The Kanchi dividend investing methodology is a 5-step process for US equities covering yield filters, growth and safety checks, valuation, and one-off event analysis. It standardizes stock selection into screening summaries, stock memos, and limit-order plans.

Yes, you need FMP API access to retrieve real-time market data. The workflow requires this data to process user-provided ticker lists, apply multi-step dividend filters, and generate accurate entry signal plans.

Yes, the workflow accepts user-provided ticker lists or outputs from other screening skills. It processes these inputs through deep dives and entry planning to produce one-page stock memos and specific buy-on-weakness price targets.

The best way to calculate optimal entry points is by analyzing historical yield data against predefined alpha thresholds. This generates specific limit-order plans and buy-on-weakness price targets for qualifying dividend stocks.