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Data Editor · ShiokNest.com
Automated data pipeline — property profiles, market reports & the monthly Singapore Property Index.
- 17,179 articles published
- Refreshed monthly update cadence
- Primary-sourced URA · HDB · IRAS · MAS · CPF
About Nicolas
Nicolas oversees the ShiokNest automated content pipeline — property profiles, market reports, district digests, price-trend analyses, HDB town reports, BTO previews, and the monthly Singapore Property Index. Every auto-generated article is sourced directly from URA, HDB resale + rental datasets, data.gov.sg, MAS, IRAS, and CPF Board; refresh cadence is monthly or quarterly depending on the source.
Areas of focus
- Property price trends
- HDB resale & rental data
- URA private transactions
- District & town digests
- BTO analysis
- New-launch absorption
- Singapore Property Index
Recent articles by Nicolas
- $48.0M Good Class Bungalow Sale — Camden Park (November 2025) 3 min read
- $48.8M Good Class Bungalow Sale — Yarwood Avenue (December 2021) 3 min read
- $49.0M Good Class Bungalow Sale — Astrid Hill (July 2024) 3 min read
- $50.2M Good Class Bungalow Sale — Andrew Road (April 2022) 3 min read
- $52.0M Good Class Bungalow Sale — Cluny Hill (July 2024) 3 min read
- $52.8M Good Class Bungalow Sale — Third Avenue (July 2021) 3 min read
- $55.0M Good Class Bungalow Sale — Dunearn Road (March 2026) 3 min read
- $55.1M Good Class Bungalow Sale — Astrid Hill (November 2022) 3 min read
How this content is produced
- Primary sources: URA (private transactions, GLS), HDB (resale + median rent), data.gov.sg, MAS (SORA), IRAS and CPF Board — read directly, never hand-typed.
- Automated pipeline: Every article is generated from our live database. When a source syncs, the affected profiles, digests and reports regenerate automatically, so the numbers on the page are the numbers in the data.
- One formula, everywhere: Yields, price changes, stamp duty and scores are computed by shared calculation helpers — a single source of truth — with guards against stale or empty data windows so a thin dataset never produces a misleading figure.
- Refresh cadence: Monthly or quarterly depending on the source. Each page states the data period it covers, and periods that have not fully elapsed are held back rather than published thin.
Corrections & contact
Spotted an out-of-date number or a factual error? Use the feedback form to flag it — corrections are typically published within 5 working days.