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.
Скрипт с открытым кодом
В истинном духе TradingView, создатель этого скрипта сделал его открытым исходным кодом, чтобы трейдеры могли проверить и убедиться в его функциональности. Браво автору! Вы можете использовать его бесплатно, но помните, что перепубликация кода подчиняется нашим Правилам поведения.
Отказ от ответственности
Информация и публикации не предназначены для предоставления и не являются финансовыми, инвестиционными, торговыми или другими видами советов или рекомендаций, предоставленных или одобренных TradingView. Подробнее читайте в Условиях использования.
Скрипт с открытым кодом
В истинном духе TradingView, создатель этого скрипта сделал его открытым исходным кодом, чтобы трейдеры могли проверить и убедиться в его функциональности. Браво автору! Вы можете использовать его бесплатно, но помните, что перепубликация кода подчиняется нашим Правилам поведения.
Отказ от ответственности
Информация и публикации не предназначены для предоставления и не являются финансовыми, инвестиционными, торговыми или другими видами советов или рекомендаций, предоставленных или одобренных TradingView. Подробнее читайте в Условиях использования.