How DealGrade Works
Transparent, explainable property deal risk assessment built on UK data and practical financial modelling.
How the workflow fits together
See how DealGrade combines UK data, scoring logic, and scenario analysis into practical deal guidance.
Enter Property Details
Capture address, type, tenure, rent, purchase price, and financing assumptions.
Data Aggregation
Combine official UK sources for price history, rents, EPC, and local market indicators.
Risk Scoring
Evaluate Market, Rental, Financial, Lease, and Liquidity risks with explainable drivers.
ROI Scenarios
Model baseline and stress-tested outcomes including cash flow and return resilience.
DG Score components
The DG Score (0-100) aggregates five category scores, each with its own confidence level and contributing factors.
Market Risk
25%Price trends, comparables, local demand indicators, and growth patterns.
Rental Risk
25%Yield strength, vacancy rates, tenant demand, and rental trajectory.
Financial Risk
25%Leverage, debt service coverage, and cash-flow resilience.
Lease Risk
15%Remaining term, ground rent, service charges, and lease degradation exposure.
Liquidity Risk
10%Transaction volume, time to sell, and exit flexibility.
Understanding confidence
Every DG Score is paired with confidence context so you can judge how much weight to place on the output.
High Confidence
Recent data, good sample depth, postcode-level granularity, and complete property records.
Medium Confidence
Some data gaps, broader geography, or slightly older comparables requiring interpolation.
Low Confidence
Limited comparables, sparse transaction data, or significant data age requiring caution.
Important disclaimers
Not Financial Advice: DealGrade is a risk assessment tool, not financial, legal, or tax advice.
No Guarantees: Past performance and current scoring do not guarantee future returns.
Area-Level Data: Many signals are area proxies, not property-level certainty.
DealGrade is not financial, legal, or tax advice. It does not guarantee returns. Scores are based on area-level data and deal inputs.