Methodology
How FindMyProperty scores opportunities
Our system is designed for screening, not certainty. We combine listing facts, modelled renovation/rental assumptions, and confidence signals to rank value-add opportunities.
1) Filter and data quality checks
We first remove listings that fail baseline criteria (price/title/listing quality/population) before deeper analysis. This keeps ranking focused on investable stock.
2) Renovation and confidence flow
A text signal from listing write-up is used before paid image analysis. If a listing is unlikely to be a genuine do-up, expensive vision calls are skipped. ARV is then confidence-weighted to reduce optimism risk.
3) Financial models and score publication
We model both flip and hold scenarios. Listings with outlier metrics or ambiguous low-renovation signals can be held for manual review before score publication.
4) Important disclaimer
Outputs are informational screening tools only and are not legal, tax, or financial advice. Validate all assumptions with independent professionals before committing capital.
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