OPEN-SOURCE SCRIPT
Price per m2 Argentina CABA USD/m2 - SMAs (1999-2025)

Overview
This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) with monthly data (2012–2025) to reconstruct a long-term residential real estate pricing series.
All values were manually digitized, cleaned, and consolidated from public reports and market datasets to create a continuous analytical framework for historical valuation analysis.
The script also includes SMA20, SMA50, and SMA100 calculated over the custom dataset to support long-term trend analysis, cycle identification, and macro structural evaluation.
Data Sources
1999–2011 (Annual): Maure Real Estate Market Reports
2012–2020 (Monthly): UCEMA Real Estate Index
2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor
All datasets referenced are derived from publicly available reports and institutional publications.
How to Use This Indicator
*USE ON THE 1 MONTH TIMEFRAME*
This tool enables investors, developers, and market analysts to:
• Identify multi-year trend shifts in residential real estate valuations
• Compare pricing cycles against Argentine macroeconomic environments
• Map long-term support and resistance zones
• Detect early signs of market recovery or contraction
• Integrate real estate fundamentals with technical analysis frameworks
The moving averages help visualize structural trends that are typically less observable in traditional property datasets.
About This Work
This historical series was reconstructed and coded by Engineer Francisco Michelich through the consolidation of market research, statistical normalization, and technical analysis methodologies.
This script does not represent an official financial index and is not affiliated with the original data institutions. It is intended solely as an educational and analytical tool for visualizing long-term trends in the Buenos Aires, Argentina residential real estate market.
This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) with monthly data (2012–2025) to reconstruct a long-term residential real estate pricing series.
All values were manually digitized, cleaned, and consolidated from public reports and market datasets to create a continuous analytical framework for historical valuation analysis.
The script also includes SMA20, SMA50, and SMA100 calculated over the custom dataset to support long-term trend analysis, cycle identification, and macro structural evaluation.
Data Sources
1999–2011 (Annual): Maure Real Estate Market Reports
2012–2020 (Monthly): UCEMA Real Estate Index
2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor
All datasets referenced are derived from publicly available reports and institutional publications.
How to Use This Indicator
*USE ON THE 1 MONTH TIMEFRAME*
This tool enables investors, developers, and market analysts to:
• Identify multi-year trend shifts in residential real estate valuations
• Compare pricing cycles against Argentine macroeconomic environments
• Map long-term support and resistance zones
• Detect early signs of market recovery or contraction
• Integrate real estate fundamentals with technical analysis frameworks
The moving averages help visualize structural trends that are typically less observable in traditional property datasets.
About This Work
This historical series was reconstructed and coded by Engineer Francisco Michelich through the consolidation of market research, statistical normalization, and technical analysis methodologies.
This script does not represent an official financial index and is not affiliated with the original data institutions. It is intended solely as an educational and analytical tool for visualizing long-term trends in the Buenos Aires, Argentina residential real estate market.
Script de código abierto
Fiel al espíritu de TradingView, el creador de este script lo ha convertido en código abierto, para que los traders puedan revisar y verificar su funcionalidad. ¡Enhorabuena al autor! Aunque puede utilizarlo de forma gratuita, recuerde que cualquier republicación del código está sujeta a nuestras Normas internas.
Exención de responsabilidad
La información y las publicaciones no constituyen, ni deben considerarse como, asesoramiento o recomendaciones financieras, de inversión, de trading u otro tipo, proporcionadas o respaldadas por TradingView. Obtenga más información en Condiciones de uso.
Script de código abierto
Fiel al espíritu de TradingView, el creador de este script lo ha convertido en código abierto, para que los traders puedan revisar y verificar su funcionalidad. ¡Enhorabuena al autor! Aunque puede utilizarlo de forma gratuita, recuerde que cualquier republicación del código está sujeta a nuestras Normas internas.
Exención de responsabilidad
La información y las publicaciones no constituyen, ni deben considerarse como, asesoramiento o recomendaciones financieras, de inversión, de trading u otro tipo, proporcionadas o respaldadas por TradingView. Obtenga más información en Condiciones de uso.