Days on Market History
DOM tracks how long every listing sat before selling -- a leading indicator of market velocity that hedge funds use to time real estate bets.
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What Is Days on Market History?
Days on Market (DOM) History is a real estate data metric that tracks the duration between when a property listing is first posted and when it sells. This temporal data serves as a critical market velocity indicator, revealing how quickly inventory moves through the sales cycle. Real estate investors, particularly hedge funds and institutional buyers, rely on DOM trends to assess market strength, identify emerging opportunities, and time their acquisition strategies. When DOM shortens, it signals strong demand and competitive conditions; when it lengthens, it indicates cooling demand and potential pricing pressure. By analyzing historical DOM patterns across neighborhoods, property types, and market cycles, investors can forecast market shifts before they become obvious and position capital accordingly.
Market Data
27.8% YoY increase in total transactions
Compass Transaction Growth
Source: DataInsights Market
Compass organic transactions outpaced market by 9%
Market Outperformance
Source: DataInsights Market
Compass outpaced broader real estate market decline of 2.1% by nearly 30%
Overall Market Comparison
Source: DataInsights Market
Who Uses This Data
What AI models do with it.do with it.
Hedge Funds & Institutional Investors
Time large-scale real estate bets by monitoring DOM trends to identify market peaks and troughs, enabling strategic entry and exit timing for portfolio acquisitions.
Real Estate Technology Platforms
Integrate DOM analytics into agent dashboards and listing platforms to provide data-driven insights for pricing strategy, competitive positioning, and lead generation.
Residential & Commercial Brokers
Use DOM metrics to advise sellers on optimal listing prices, marketing intensity, and market conditions to maximize sale velocity and final sale price.
Market Analysts & Economists
Track DOM changes as early warning signals of housing market health, consumer confidence shifts, and regional economic trends.
What Can You Earn?
What it's worth.worth.
Historical DOM Data Feeds
Varies
Pricing depends on historical depth, geographic granularity, property type coverage, and update frequency.
Real-Time DOM Tracking
Varies
Live DOM updates for active listings command premium pricing relative to historical archives.
Market Segment Analytics
Varies
Specialized DOM data filtered by property class, price tier, or neighborhood sells at higher margins than broad-based feeds.
What Buyers Expect
What makes it valuable.valuable.
Temporal Accuracy
Precise listing and sale dates with minimal delays; any gaps in DOM tracking reduce utility for timing-sensitive strategies.
Geographic Completeness
Full MLS coverage across target markets; fragmentary or cherry-picked listings undermine market velocity analysis.
Property-Level Detail
DOM paired with transaction price, property characteristics, and listing terms to enable segmentation and trend isolation.
Historical Depth
Multi-year DOM archives essential for cycle analysis, seasonal pattern detection, and long-term forecasting models.
Update Frequency
Daily or real-time updates required for active portfolio management; monthly lags are unsuitable for tactical hedge fund strategies.
Companies Active Here
Who's buying.buying.
Operates as a leading real estate technology platform providing agents and institutional clients with transaction analytics, listing optimization, and market intelligence tools built on transactional velocity data.
FAQ
Common questions.questions.
How do hedge funds use Days on Market data to time real estate investments?
DOM trends serve as leading indicators of market velocity. Shortening DOM signals strengthening demand and tight inventory, suggesting peak pricing windows for exits; lengthening DOM indicates cooling demand and potential discounts for entry. Institutional investors model DOM cycles alongside economic indicators to anticipate market turns before obvious shifts occur.
What geographic and property-type granularity is needed for DOM data?
Premium datasets provide DOM segmentation by neighborhood, zip code, price tier, property type (single-family, multifamily, commercial), and market segment. Broad aggregates mask the localized DOM variations that drive tactical trading decisions.
How does DOM data differ from transaction price data?
DOM tracks *time to sale* while price data captures *sale value*. DOM reveals market velocity and demand intensity independent of price; together, they enable analysis of whether longer marketing periods correlate with price concessions or inventory quality issues.
What market conditions typically lengthen Days on Market?
DOM lengthens during economic uncertainty, rising interest rates, inventory oversupply, or regional recessions. Compass data showed that March 2025 market disruption caused temporary transaction deferrals, which would manifest as DOM shifts across affected periods.
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