Base Metals Price Forecasting From Alternate Data Sources Using AI

Implementation Time:
9 months
Solution Provider: AI Singapore

How can Four Elements Capital leverage machine learning techniques to improve the prediction of spot prices of base metals using market data (trading prices and volumes); macroeconomic data; supply and demand data; third party estimations and relevant social media information (alternative data)?

A machine learning framework consisting of three components:

    – Classification of price movement direction using an ensemble of multiple machine learning and deep learning models
    – Regression of price predictions using a deep learning model
    – Filter mechanism to align the outputs from the above

News and Analyst Report Indicators were also developed to extract intelligence from alternative data sources and calibrate the classification outputs

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Implementation Time

9 months

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