Third Party Data - RS Metrics

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RS Metrics MetalSignals™ provides satellite imagery-based analytics for global copper, aluminum, zinc & iron ore production and storage. The dataset is based on changes in daily, weekly, monthly, and year-over-year estimated growth in raw materials, as well as finished product stored outside at over 500 global smelters and storage facilities.

The data can be leveraged to derive insights regarding macro changes in global supply of copper, aluminum, zinc & iron ore.. RS Metrics research has found the data to have a statistically significant correlation with directional changes in CME Group metals futures contract prices.1

1. Price and Volume Signal Prediction using K-Nearest Neighbors Method (RS Metrics, 2018)

Dataset Contents

MetalSignals™ Copper, Aluminum, Zinc, and Iron Ore are available to download as a CSV file via DataMine and includes the following measurements for each smelting/storage location:

  • Finished Products Area (m²)
  • Piles Area (m²)
  • Concentrate Bags Area (m²)
  • Copper Cathodes Area (m²)
  • Copper Anodes Area (m²)
  • Employee Cars
  • Containers
  • Semi-Trailer Trucks
  • Dump Trucks/Tippers
  • Collection Date & Time
  • Location Type (Smelter/Storage/Port)
  • Metal Type

MetalSignals™ provides global coverage across most major smelting regions including Chile, China, Peru, USA, Russia and Australia.

Key Features

  • Includes approximately five years of historical data (back to 2013 for most locations)
  • Ongoing updates sourced from approximately 500 production and storage facilities
  • Updates for each location ranges from every few days to every few months (depending on the location and historical interest in tasking). Daily data delivery is available, with data delay within 48 hours of the satellite timestamp for at least 90% of all observations.
  • Note: There may be some days where little or no new data is posted, depending on recent satellite collections.
  • Aggregated data can be delivered on a weekly basis.    

About RS Metrics

Founded in 2010, RS Metrics analyzes and derives data from satellite and aerial imagery to provide fundamental insights, trends and predictive signals for businesses and investors in metals, industrials, retail and commercial real estate.  

RS Metrics’ proprietary, patented technology platform leverages advanced computer vision and machine learning and a scaled QC workflow to generate accurate, predictive and consumable information.

Data is available in easy-to-use end-user applications, signals, and tools, and as daily data feeds for customers with quantitative focus and capabilities.


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