What companies can I track with this skill?

The skill supports major OEM tickers like F, GM, TSLA, and STLA, as well as major dealer groups such as AN, KMX, and CVNA.

Does this support international automotive markets?

Currently, the dom-monitor skill is optimized specifically for US-only market data and inventory tracking.

What is the difference between Active DOM and Sold DOM?

Sold DOM measures the age of vehicles at the point of sale, while Active DOM measures currently listed inventory. A gap where Active DOM is much higher than Sold DOM indicates building inventory and softening demand.

How does dom-monitor help predict automotive earnings?

It tracks rising DOM trends which typically precede increased incentive spending and margin compression, serving as a leading indicator for potential earnings misses.

Auto Market DOM Monitor

Name: Auto Market DOM Monitor
Author: MarketcheckHub

byMarketcheckHub

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Analíticas y Monitorización

Analyzes automotive Days-on-Market (DOM) as a leading investment indicator to predict earnings direction and demand trends.

The DOM Monitor skill is a specialized financial analysis tool that elevates Days-on-Market from a secondary metric to a primary investment signal. It provides deep visibility into automotive inventory aging across major OEMs and dealer groups, calculating rate-of-change, detecting demand inflection points, and flagging potential distress. By mapping tickers to specific makes and analyzing multi-period trends, it helps analysts identify margin pressures, production risks, and turnaround signals before they manifest in quarterly earnings reports.

Características Principales

01Cross-segment velocity comparisons (SUV vs. Truck vs. Sedan)

02Automated ticker-to-make mapping for major US OEMs and dealer groups

03Automated inflection point detection for shifting demand signals

042 GitHub stars

05Multi-period DOM trend analysis with weighted average rate-of-change

06Distress flagging based on 60, 90, and 120-day inventory aging thresholds

Casos de Uso

01Comparing brand performance across specific US states or national averages

02Identifying production cut signals through active vs. sold DOM gap analysis

03Predicting earnings misses or beats based on inventory sell-through velocity

Características Principales

01Cross-segment velocity comparisons (SUV vs. Truck vs. Sedan)

02Automated ticker-to-make mapping for major US OEMs and dealer groups

03Automated inflection point detection for shifting demand signals

042 GitHub stars

05Multi-period DOM trend analysis with weighted average rate-of-change

06Distress flagging based on 60, 90, and 120-day inventory aging thresholds

Casos de Uso

01Comparing brand performance across specific US states or national averages

02Identifying production cut signals through active vs. sold DOM gap analysis

03Predicting earnings misses or beats based on inventory sell-through velocity