kanchi-dividend-review-monitor

A state machine classifies dividend portfolio risks into OK, WARN, or REVIEW states. It processes normalized input JSON to identify abnormal dividend signals, forcing flagged items into a manual review queue rather than executing automatic trades.

T1-T5 risk triggers are forced-review thresholds used to monitor dividend portfolios and detect abnormal dividend-risk signals. They automatically route flagged items to a human review queue, enabling manual decision-making instead of automated selling.

Classify dividend risk anomalies by processing normalized input JSON through a state machine. This mechanism evaluates forced-review triggers and categorizes each result as OK, WARN, or REVIEW, routing high-risk items into a queue for human review.

Yes, the dividend risk monitor requires normalized input JSON with specified fields to evaluate triggers accurately. Processing this structured data allows the state machine to classify portfolio risks into OK, WARN, or REVIEW states for human review.

The best way to handle abnormal dividend signals is to use forced-review triggers that flag anomalies without auto-selling. A state machine evaluates the signals, classifying them into OK, WARN, or REVIEW states for structured human decision-making.