dividend-manager

You can automate DRIP reinvestment and forecast dividend income by using YAML-configured autopilot rules combined with Python computations to project 12-month income and calculate reinvested shares. This tracks dividend payments and applies configurable modes like same-stock or diversify.

To calculate expected dividend income for the next 12 months, the Skill aggregates dividend rates and ex-dividend dates to project scheduled income for both monthly and quarterly payout frequencies. It uses Python-based analytics driven by your holdings data.

The best way to track dividend yields and apply concentration limits is to monitor aggregated annual and monthly income expectations against target-yield rules. This guides your rebalancing behavior by projecting future income over a set horizon.

DRIP reinvestments can run on autopilot using YAML-configured rules, but they also support optional approval gating and alerting. This allows you to automate reinvestment modes like accumulate-cash while maintaining oversight when needed.

Yes, you can use yfinance and pandas to monitor upcoming ex-dividend dates and calculate portfolio metrics. The Skill leverages these dependencies to fetch dividend rates, track yields, and run scheduled dividend analytics for your holdings.